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General
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- Fully Supported
- Limitation
- Not Supported
- Information Only
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Pros
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- + Extensive platform support
- + Extensive data protection capabilities
- + Flexible deployment options
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- + Built for simplicity
- + Policy-based management
- + Cost-effectiveness
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- + Broad range of hardware support
- + Strong Microsoft integration
- + Great simplicity to deploy
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Cons
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- - No native data integrity verification
- - Dedup/compr not performance optimized
- - Disk/node failure protection not capacity optimized
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- - Single hypervisor support
- - No stretched clustering
- - No native file services
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- - Single hypervisor support
- - Limited native data protection
- - Dedup/compr not performance optimized
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Content |
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WhatMatrix
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WhatMatrix
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WhatMatrix
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Assessment |
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Name: SANsymphony
Type: Software-only (SDS)
Development Start: 1998
First Product Release: 1999
NEW
DataCore was founded in 1998 and began to ship its first software-defined storage (SDS) platform, SANsymphony (SSY), in 1999. DataCore launched a separate entry-level storage virtualization solution, SANmelody (v1.4), in 2004. This platform was also the foundation for DataCores HCI solution. In 2014 DataCore formally announced Hyperconverged Virtual SAN as a separate product. In May 2018 integral changes to the software licensing model enabled consolidation because the core software is the same and since then cumulatively called DataCore SANsymphony.
One year later, in 2019, DataCore expanded its software-defined storage portfolio with a solution especially for the need of file virtualization. The additional SDS offering is called DataCore vFilO and operates as scale-out global file system across distributed sites spanning on-premises and cloud-based NFS and SMB shares.
Recently, at the beginning of 2021, DataCore acquired Caringo and integrated its know how and software-defined object storage offerings into the DataCore portfolio. The newest member of the DataCore SDS portfolio is called DataCore Swarm and together with its complementary offering SwarmFS and DataCore FileFly it enables customers to build on-premises object storage solutions that radically simplify the ability to manage, store, and protect data while allowing multi-protocol (S3/HTTP, API, NFS/SMB) access to any application, device, or end-user.
DataCore Software specializes in the high-tech fields of software solutions for block, file, and object storage. DataCore has by far the longest track-record when it comes to software-defined storage, when comparing to the other SDS/HCI vendors on the WhatMatrix.
In April 2021 the company had an install base of more than 10,000 customers worldwide and there were about 250 employees working for DataCore.
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Name: Hyperconvergence (HC3)
Type: Hardware+Software (HCI)
Development Start: 2011
First Product Release: 2012
Scale Computing was founded in 2007 and began to ship its first SAN/NAS scale-out storage product, in 2009. Mid 2011 development started on the Hyperconvergence (HC3) platform, which was to combine the 3 foundation layers, being compute, storage and virtualization, into a single hardware appliance. HC3 was built to provide ultra simple ease-of-use and initially targeted at the SMB market. The first HC3 models were released in August 2012.
In Januari 2019 the company had an install base of more than 3,500 customers worldwide. In January 2019 there were 130+ employees working for Scale Computing.
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Name: Storage Spaces Direct (S2D)
Type: Software-only (SDS)
Development Start: 2015
First Product Release: Oct 2016
NEW
Microsoft, founded in 1975, released its first Software Defined Storage (SDS) solution, Storage Spaces, as a feature in Windows Server 2012. Storage Spaces was enhanced in the R2 release of Windows Server 2012. In october 2016 Microsoft introduced the all-new Storage Spaces Direct (S2D) as integral part of the Windows Server 2016 platform. Microsoft S2D aggregates direct attached storage from separate x86 servers into a highly available shared storage pool.
At the start of October 2019 Microsoft introduced a new S2D version with the release of Windows Server 2019. The new S2D version features both new capabilities as well as improvements in existing capabilities.
Customer install base and number of employees working on S2D are unknown at this time. In March 2018 there were more than 10,000 clusters worldwide running Storage Spaces Direct.
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GA Release Dates:
SSY 10.0 PSP12: jan 2021
SSY 10.0 PSP11: aug 2020
SSY 10.0 PSP10: dec 2019
SSY 10.0 PSP9: jul 2019
SSY 10.0 PSP8: sep 2018
SSY 10.0 PSP7: dec 2017
SSY 10.0 PSP6 U5: aug 2017
.
SSY 10.0: jun 2014
SSY 9.0: jul 2012
SSY 8.1: aug 2011
SSY 8.0: dec 2010
SSY 7.0: apr 2009
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SSY 3.0: 1999
NEW
10th Generation software. DataCore currently has the most experience when it comes to SDS/HCI technology, when comparing SANsymphony to other SDS/HCI platforms.
SANsymphony (SSY) version 3 was the first public release that hit the market back in 1999. The product has evolved ever since and the current major release is version 10. The list includes only the milestone releases.
PSP = Product Support Package
U = Update
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GA Release Dates:
HCOS 8.6.5: mar 2020
HCOS 8.5.3: oct 2019
HCOS 8.3.3: jul 2019
HCOS 8.1.3: mar 2019
HCOS 7.4.22: may 2018
HCOS 7.2.24: sep 2017
HCOS 7.1.11: dec 2016
HCOS 6.4.2: apr 2016
HCOS 6.0: feb 2015
HCOS 5.0: oct 2014
ICOS 4.0: aug 2012
ICOS 3.0: may 2012
ICOS 2.0: feb 2010
ICOS 1.0: feb 2009
NEW
8th Generation Scale Computing software on proven Lenovo and SuperMicro server hardware.
Scale Computing HC3s maturity has been steadily increasing ever since the first iteration by expanding its feature set with both foundational and advanced capabilities. Due to its primary focus on small- and midsized organizations, the feature set does not (yet) incorporate some of the larger enterprise capabilities.
HCOS = HyperCore Operating System
ICOS = Intelligent Clustered Operating System
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GA Release Dates:
S2D 2019: Oct 2018
S2D 2016: Oct 2016
NEW
2nd generation software. Because Storage Spaces Direct (S2D) is an integral part of the Windows Server platform, the first GA version of S2D was introduced as part of the GA release of Windows Server 2016 in October 2016. The second GA version of S2D was introduced as a part of the GA release of Windows Server 2019 in October 2018.
Microsoft recommends deploying Storage Spaces Direct on hardware validated by the Windows Server Software Defined (WSSD) program. For Windows Server 2019, the first wave of WSSD offers was launched in mid-January 2019.
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Pricing |
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Hardware Pricing Model
Details
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N/A
SANsymphony is sold by DataCore as a software-only solution. Server hardware must be acquired separately.
The entry point for all hardware and software compatibility statements is: https://www.datacore.com/products/sansymphony/tech/compatibility/
On this page links can be found to: Storage Devices, Servers, SANs, Operating Systems (Hosts), Networks, Hypervisors, Desktops.
Minimum server hardware requirements can be found at: https://www.datacore.com/products/sansymphony/tech/prerequisites/
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Per Node
Each Scale Computing HC3 appliance purchased consists of hardware (server+storage), software (all-inclusive) and 1 year of premium support. Optionally end-users can also request for TOR-switches as part of the solution and deployment.
In june 2018 Scale Computing introduced an Managed Service Providers (MSP) Program that offers these organizations a price-per node, per-month, OpEx subscription license.
TOR = Top-of-Rack
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Per Node
Storage Spaces Direct (S2D) is sold by Microsoft as a software-only solution. Server hardware must be acquired separately.
You can find a Hardware Compatibiliy List here: https://www.windowsservercatalog.com/default.aspx
Microsoft recommends deploying Storage Spaces Direct on hardware validated by the Windows Server Software Defined (WSSD) program. For Windows Server 2019, the first wave of WSSD offers will launch in mid-January 2019.
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Software Pricing Model
Details
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Capacity based (per TB)
NEW
DataCore SANsymphony is licensed in three different editions: Enterprise, Standard, and Business.
All editions are licensed per capacity (in 1 TB steps). Except for the Business edition which has a fixed price per TB, the more capacity that is used by an end-user in each class, the lower the price per TB.
Each edition includes a defined feature set.
Enterprise (EN) includes all available features plus expanded Parallel I/O.
Standard (ST) includes all Enterprise (EN) features, except FC connections, Encryption, Inline Deduplication & Compression and Shared Multi-Port Array (SMPA) support with regular Parallel I/O.
Business (BZ) as entry-offering includes all essential Enterprise (EN) features, except Asynchronous Replication & Site Recovery, Encryption, Deduplication & Compression, Random Write Accelerator (RWA) and Continuous Data Protection (CDP) with limited Parallel I/O.
Customers can choose between a perpetual licensing model or a term-based licensing model. Any initial license purchase for perpetual licensing includes Premier Support for either 1, 3 or 5 years. Alternatively, term-based licensing is available for either 1, 3 or 5 years, always including Premier Support as well, plus enhanced DataCore Insight Services (predictive analytics with actionable insights). In most regions, BZ is available as term license only.
Capacity can be expanded in 1 TB steps. There exists a 10 TB minimum per installation for Business (BZ). Moreover, BZ is limited to 2 instances and a total capacity of 38 TB per installation, but one customer can have multiple BZ installations.
Cost neutral upgrades are available when upgrading from Business/Standard (BZ/ST) to Enterprise (EN).
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Per Node (all-inclusive)
There is no separate software licensing. Each node comes equiped with an all-inclusive feature set. This means that without exception all Scale Computing HC3 software capabilities are available for use.
In june 2018 Scale Computing introduced an Managed Service Providers (MSP) Program that offers these organizations a price-per node, per-month, OpEx subscription license.
HC3 Cloud Unity DRaaS requires a monthly subscription that is in part based on Google Cloud Platform (GCP) resource usage (compute, storage, network). The HC3 Cloud Unity DRaaS subscription includes:
- 6 days of Active Mode testing
- Runbook outlining DR procedures
- 1 Runbook failover test and 1 separate Declaration
- Network egress equal to 12.5% of Storage
- ScaleCare Support
In addition end-users and first-time service providers can purchase a DR Planning Service (one-time fee) for onboarding.
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Per Node
Windows Server 2019 Datacenter edition is required. The Datacenter edition supports up to 16 physical cores. If your server has more than 16 physical cores, you have to buy a license pack for each two additional cores.
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Support Pricing Model
Details
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Capacity based (per TB)
Support is always provided on a premium (24x7) basis, including free updates.
More information about DataCores support policy can be found here:
http://datacore.custhelp.com/app/answers/detail/a_id/1270/~/what-is-datacores-support-policy-for-its-products
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Per Node
Each appliance comes with 1 year ScaleCare Premium Support that consists of:
- 24x7x365 by telephone (US and Europe)
- 2 hour response time for critical issues
- Live chat, email support, and general phone on Mo-Fr 8AM-8PM EDST.
- Next Business Day (NBD) delivery of hardware replacement parts
ScaleCare Premium Support also provides remote installation services on the initial deployment of ScaleComputing HC3 clusters.
In june 2018 Scale Computing introduced an Managed Service Providers (MSP) Program that offers these organizations a price-per node, per-month, OpEx subscription license.
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Per Node
Microsoft S2D is supported by Microsoft Customer Service & Support (CSS), which is truly global and offers Tier 1/2/3 support and onsite support in every region. Mission Critical support, account management, support contracts, and support management are available, with response time SLAs depending on the level of support purchased. Pay per incident support is also available.
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Design & Deploy
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Design |
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Consolidation Scope
Details
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Storage
Data Protection
Management
Automation&Orchestration
DataCore is storage-oriented.
SANsymphony Software-Defined Storage Services are focused on variable deployment models. The range covers classical Storage Virtualization over Converged and Hybrid-Converged to Hyperconverged including a seamless migration between them.
DataCore aims to provide all key components within a storage ecosystem including enhanced data protection and automation & orchestration.
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Hypervisor
Compute
Storage
Networking (optional)
Data Protection
Management
Automation&Orchestration
Scale Computing is stack-oriented.
With the HC3 platform Scale Computing aims to provide all functionality required in a Private Cloud ecosystem.
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Hypervisor
Compute
Storage
Data Protection (limited)
Management
Automation&Orchestration
Microsoft is stack-oriented, whereas the S2D platform itself is heavily storage-focused.
With Storage Spaces Direct (S2D) Microsoft aims to provide all functionality required in a Private Cloud ecosystem.
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1, 10, 25, 40, 100 GbE (iSCSI)
8, 16, 32, 64 Gbps (FC)
The bandwidth required depends entirely on the specifc workload needs.
SANsymphony 10 PSP11 introduced support for Emulex Gen 7 64 Gbps Fibre Channel HBAs.
SANsymphony 10 PSP8 introduced support for Gen6 16/32 Gbps ATTO Fibre Channel HBAs.
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1, 10 GbE
Scale Computing hardware models include redundant ethernet connectivity in an active/passive setup.
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10, 25, 40, 100 GbE
Storage Spaces Direct (S2D) supports ethernet connectivity using SFP+ or Base-T. Microsoft requires 10GbE for intra-cluster communication to avoid the network becoming a performance bottleneck.
S2D supports several network bandwidths: 10, 25, 40 and 100 Gb Ethernet. Although it is not mandatory, a network compliant with RDMA (RoCE or iWARP) brings the best performance.
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Overall Design Complexity
Details
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Medium
DataCore SANsymphony is able to meet many different use-cases because of its flexible technical architecture, however this also means there are a lot of design choices that need to be made. DataCore SANsymphony seeks to provide important capabilities either natively or tightly integrated, and this keeps the design process relatively simple. However, because many features in SANsymphony are optional and thus can be turned on/off, in effect each one needs to be taken into consideration when preparing a detailed design.
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Low
Scale Computing HC3 was developed with simplicity in mind, both from a design and a deployment perspective. The HC3 platform architecture is meant to be applicable to general virtual server infrastructure (VSI) use-cases and seeks to provide important capabilities natively. There are only a few storage building blocks to choose from, and many advanced capabilities like deduplication are always turned on. This minimizes the amount of design choices as well as the number of deployment steps.
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Medium
Microsoft Storage Spaces Direct (S2D) is able to meet many different use-cases because of its flexible technical architecture, however this also means there are multiple design choices that need to be made. Today Microsoft S2D leverages the data protection capabilities available in Microsofts hypervisor platform, Hyper-V, and the Windows Server OS, which keeps the overall design from getting overly complex. Microsoft S2D in Windows Server 2019 also has a core set of native data services that the previous version lacked.
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External Performance Validation
Details
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SPC (Jun 2016)
ESG Lab (Jan 2016)
SPC (Jun 2016)
Title: 'Dual Node, Fibre Channel SAN'
Workloads: SPC-1
Benchmark Tools: SPC-1 Workload Generator
Hardware: All-Flash Lenovo x3650, 2-node cluster, FC-connected, SSY 10.0, 4x All-Flash Dell MD1220 SAS Storage Arrays
SPC (Jun 2016)
Title: 'Dual Node, High Availability, Hyper-converged'
Workloads: SPC-1
Benchmark Tools: SPC-1 Workload Generator
Hardware: All-Flash Lenovo x3650, 2-node cluster, FC-interconnect, SSY 10.0
ESG Lab (Jan 2016)
Title: 'DataCore Application-adaptive Data Infrastructure Software'
Workloads: OLTP
Benchmark Tools: IOmeter
Hardware: Hybrid (Tiered) Dell PowerEdge R720, 2-node cluster, SSY 10.0
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N/A
No Scale Computing HC3 validated test reports have been published in 2016/2017/2018/2019.
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ESG Lab (mar 2017)
ESG Lab (Mar 2017)
Title: 'Performance and Cost Efficiency of Intel and Microsoft Hyperconverged Infrastructure'
Workloads: Generic
Benchmark Tools: Diskspd Utility (generic)
Hardware: Hybrid Intel servers, 4-node cluster, S2D 1.0; All-flash Intel servers, 4-node cluster, S2D 1.0; All-NVMe Intel servers, 4-node cluster, S2D 1.0
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Evaluation Methods
Details
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Free Trial (30-days)
Proof-of-Concept (PoC; up to 12 months)
SANsymphony is freely downloadble after registering online and offers full platform support (complete Enterprise feature set) but is scale (4 nodes), capacity (16TB) and time (30 days) restricted, what all can be expanded upon request. The free trial version of SANsymphony can be installed on all commodity hardware platforms that meet the hardware requirements.
For more information please go here: https://www.datacore.com/try-it-now/
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Public Facing Clusters
Proof-of-Concept (PoC)
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Free Trial (180-days)
Proof-of-Concept (PoC)
A Storage Spaces Direct (S2D) PoC environment can be deployed either by running it physically or by running it virtually as VMs on top of a hypervisor (Hyper-V or VMware).
Windows Server 2019 Datacenter evaluation can be downloaded freely. It is time-restricted (180-days).
For lab purposes, Microsoft Support can enable S2D in current Windows Server 2019 build.
Microsoft recommends deploying Storage Spaces Direct on hardware validated by the Windows Server Software Defined (WSSD) program. For Windows Server 2019, the first wave of WSSD offers will launch in mid-January 2019.
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Deploy |
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Deployment Architecture
Details
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Single-Layer
Dual-Layer
Single-Layer = servers function as compute nodes as well as storage nodes.
Dual-Layer = servers function only as storage nodes; compute runs on different nodes.
Single-Layer:
- SANsymphony is implemented as virtual machine (VM) or in case of Hyper-V as service layer on Hyper-V parent OS, managing internal and/or external storage devices and providing virtual disks back to the hypervisor cluster it is implemented in. DataCore calls this a hyper-converged deployment.
Dual-Layer:
- SANsymphony is implemented as bare metal nodes, managing external storage (SAN/NAS approach) and providing virtual disks to external hosts which can be either bare metal OS systems and/or hypervisors. DataCore calls this a traditional deployment.
- SANsymphony is implemented as bare metal nodes, managing internal storage devices (server-SAN approach) and providing virtual disks to external hosts which can be either bare metal OS systems and/or hypervisors. DataCore calls this a converged deployment.
Mixed:
- SANsymphony is implemented in any combination of the above 3 deployments within a single management entity (Server Group) acting as a unified storage grid. DataCore calls this a hybrid-converged deployment.
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Single-Layer
Single-Layer = servers function as compute nodes as well as storage nodes.
Dual-Layer = servers function only as storage nodes; compute runs on different nodes.
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Single-Layer
Dual-Layer
You can deploy Storage Spaces Direct (S2D) in two ways:
1. By using the S2D servers for hosting compute as well as storage, thus creating a hyper-converged single-layer configuration. Microsoft uses the term Hyper-converged.
2. By using the S2D servers as storage nodes only, thus creating a traditional dual-layer configuration where compute is hosted on other servers that access the storage through SMB3. Microsoft uses the term Disaggregated.
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Deployment Method
Details
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BYOS (some automation)
BYOS = Bring-Your-Own-Server-Hardware
DataCore SANsymphony is made easy by providing a very straightforward implementation approach.
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Turnkey (very fast; highly automated)
Because of the ready-to-go Hyper Converged Infrastructure (HCI) building blocks and the setup wizard provided by Scale Computing, customer deployments can be executed in hours instead of days.
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BYOS (some automation)
NEW
Because of the tight integration with the Microsoft Server platform, Storage Spaces Direct (S2D) is very easy to install and configure. It is also possible to streamline the software deployment of an entire S2D cluster by automating all the steps using PowerShell cmdlets.
With WSSD Certified Ready-Node solutions from well-known server hardware vendors you get a pre-defined configuration for the entire solution. However, this setup is not always optimal, especially with regard to the network parts.
WSSD solutions for S2D in Windows Server 2019 are currently slated for release in January 2019.
BYOS = Bring-Your-Own-Server-Hardware
WSSD = Windows Server Software-defined
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Workload Support
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Virtualization |
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Hypervisor Deployment
Details
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Virtual Storage Controller
Kernel (Optional for Hyper-V)
The SANsymphony Controller is deployed as a pre-configured Virtual Machine on top of each server that acts as a part of the SANsymphony storage solution and commits its internal storage and/or externally connected storage to the shared resource pool. The Virtual Storage Controller (VSC) can be configured direct access to the physical disks, so the hypervisor is not impeding the I/O flow.
In Microsoft Hyper-V environments the SANsymphony software can also be installed in the Windows Server Root Partition. DataCore does not recommend installing SANsymphony in a Hyper-V guest VM as it introduces virtualization layer overhead and obstructs DataCore Software from directly accessing CPU, RAM and storage. This means that installing SANsymphony in the Windows Server Root Partition is the preferred deployment option. More information about the Windows Server Root Partition can be found here: https://docs.microsoft.com/en-us/windows-server/administration/performance-tuning/role/hyper-v-server/architecture
The DataCore software can be installed on Microsoft Windows Server 2019 or lower (all versions down to Microsoft Windows Server 2012/R2).
Kernel Integrated, Virtual Controller and VIB are each distributed architectures, having one active component per virtualization host that work together as a group. All three architectures are capable of delivering a complete set of storage services and good performance. Kernel Integrated solutions reside within the protected lower layer, VIBs reside just above the protected kernel layer, and Virtual Controller solutions reside in the upper user layer. This makes Virtual Controller solutions somewhat more prone to external actions (eg. most VSCs do not like snapshots). On the other hand Kernel Integrated solutions are less flexible because a new version requires the upgrade of the entire hypervisor platform. VIBs have the middle-ground, as they provide more flexibility than kernel integrated solutions and remain relatively shielded from the user level.
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KVM User Space
SCRIBE runs in KVM user space. Scale Computing made a conscious decision not to make SCRIBE kernel integrated in order to avoid the risk that storage problems would cause a system panic meaning that an entire node could go down as a result.
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Kernel Integrated
Storage Spaces Direct (S2D) is embedded into the Windows 2019 Server operating system. This means it does not require any Controller VMs to be deployed on top of the hypervisor platform.
To be more precise, S2D is a feature that is fully integrated into Windows Failover Clustering. When you create a Windows cluster, the S2D feature is disabled by default so you will have to enable it.
Microsoft has also developed the Software Storage Bus so each direct attached disk in each server node can be accessed by others server nodes.
Both Kernel Integrated and Virtual Controller are distributed architectures, having one active component per virtualization host that work together as a group. Both architectures are capable of delivering a complete set of storage services and good performance. Kernel Integrated solutions reside within the protected lower layer and Virtual Controller solutions reside in the upper user layer. This makes Virtual Controller solutions somewhat more prone to external actions (eg. most VSCs do not like snapshots). On the other hand Kernel Integrated solutions are less flexible because a new version requires the upgrade of the entire hypervisor platform.
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Hypervisor Compatibility
Details
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VMware vSphere ESXi 5.5-7.0U1
Microsoft Hyper-V 2012R2/2016/2019
Linux KVM
Citrix Hypervisor 7.1.2/7.6/8.0 (XenServer)
'Not qualified' means there is no generic support qualification due to limited market footprint of the product. However, a customer can always individually qualify the system with a specific SANsymphony version and will get full support after passing the self-qualification process.
Only products explicitly labeled 'Not Supported' have failed qualification or have shown incompatibility.
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Linux KVM-based
NEW
ScaleComputing HC3 uses its own proprietary HyperCore operating system and KVM-based hypervisor.
SCRIBE is an integral part of the Linux KVM platform to enable it to own the full software stack. As VMware and Microsoft dont allow such a tight integration, SCRIBE cannot be used with any other hypervisor platform.
Scale Computing HC3 supports a single hypervisor in contrast to other SDS/HCI products that support multiple hypervisors.
The Scale Computing HC3 hypervisor fully supports the following Guest operating systems:
Windows Server 2019
Windows Server 2016
Windows Server 2012 R2
Windows 10
Windows 8.1
CentOS Enterprise Linux
RHEL Enterprise Linux
Ubuntu Server
FreeBSD
SUSE Linux Enterprise
Fedora
Versions supported are versions currently supported by the operating system manufacturer.
SCRIBE = Scale Computing Reliable Independent Block Engine
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Microsoft Hyper-V 2012R2 (Dual Layer)
Microsoft Hyper-V 2016/2019
Storage Spaces Direct (S2D) is an integral part of the Microsoft Windows Server 2019 platform. As such it cannot be used with any other hypervisor platform than Hyper-V.
S2D supports a single hypervisor in contrast to other SDS/HCI products that support multiple hypervisors.
Both S2D deployment models (single-layer, dual layer) can be used in conjunction with Hyper-V. When setup in a dual-layer configuration, the storage nodes with S2D act as scale-out file servers that present storage to the Hyper-V compute nodes.
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Hypervisor Interconnect
Details
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iSCSI
FC
The SANsymphony software-only solution supports both iSCSI and FC protocols to present storage to hypervisor environments.
DataCore SANsymphony supports:
- iSCSI (Switched and point-to-point)
- Fibre Channel (Switched and point-to-point)
- Fibre Channel over Ethernet (FCoE)
- Switched, where host uses Converged Network Adapter (CNA), and switch outputs Fibre Channel
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Libscribe
In order to read/write from/to Scale Computing HC3 block devices (aka Virtual SCRIBE Devices or VSD for short) the Libscribe component needs to be installed in KVM on each physical host. Libscribe is part of the QEMU process and presents virtual block devices to the VM. Because Libscribe is a QEMU block driver, SCRIBE is a supported device type and qemu-img commands work by default.
Although a virtIO driver doesnt need to be installed perse in each VM, it is highly recommended as I/O performance benefits greatly from it. IO submission takes place via the Linux Native Asynchronous I/O (AIO) that is present in KVM.
Shared storage devices in virtual Windows Clusters are supported.
QEMU = Quick Emulator
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SMB3
Storage Spaces Direct (S2D) is exposed to the Windows OS through the Cluster Shared Volume File System (CSVFS). In a dual-layer deployment model S2D volumes are presented to compute nodes through the SMB3 protocol.
Storage nodes communicate with one another using the SMB3 protocol, including SMB Direct and SMB Multichannel.
Hyper-V is capable of supporting virtual guest clusters by leveraging 'VHD Set' files, a feature that was introduced in Hyper-V 2016.
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Bare Metal |
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Bare Metal Compatibility
Details
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Microsoft Windows Server 2012R2/2016/2019
Red Hat Enterprise Linux (RHEL) 6.5/6.6/7.3
SUSE Linux Enterprise Server 11.0SP3+4/12.0SP1
Ubuntu Linux 16.04 LTS
CentOS 6.5/6.6/7.3
Oracle Solaris 10.0/11.1/11.2/11.3
Any operating system currently not qualified for support can always be individually qualified with a specific SANsymphony version and will get full support after passing the self-qualification process.
SANsymphony provides virtual disks (block storage LUNs) to all of the popular host operating systems that use standard disk drives with 512 byte or 4K byte sectors. These hosts can access the SANsymphony virtual disks via SAN protocols including iSCSI, Fibre Channel (FC) and Fibre Channel over Ethernet (FCoE).
Mainframe operating systems such as IBM z/OS, z/TPF, z/VSE or z/VM are not supported.
SANsymphony itself runs on Microsoft Windows Server 2012/R2 or higher.
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N/A
Scale Computing HC3 does not support any non-hypervisor platforms.
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Microsoft Windows Server (Limited)
Storage Spaces Direct (S2D) is supported for use in MS SQL Server solutions.
When deploying S2D with Scale out File Server on top, file services are supported. This mean you can store data such as Hyper-V VM, RDS Profile (UPD), or more generic data such as Word and PowerPoint, even though this is not recommended by Microsoft. SMB shares are supported but no NFS shares or iSCSI targets.
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Bare Metal Interconnect
Details
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iSCSI
FC
FCoE
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N/A
Scale Computing HC3 does not support any non-hypervisor platforms.
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SMB3
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Containers |
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Container Integration Type
Details
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Built-in (native)
DataCore provides its own Volume Plugin for natively providing Docker container support, available on Docker Hub.
DataCore also has a native CSI integration with Kubernetes, available on Github.
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N/A
Scale Computing HC3 does not officially support any container platforms.
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Built-in (native)
Microsoft provides enhancements in its own OS software for enabling S2D container support.
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Container Platform Compatibility
Details
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Docker CE/EE 18.03+
Docker EE = Docker Enterprise Edition
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N/A
Scale Computing HC3 does not officially support any container platforms.
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Windows (Native)
Linux (Docker in Linux VM or Windows Server 2016 VM)
NEW
Windows Server 2019 offers native support for Windows Server 2016/2019 containers at this time.
Currently Docker EE does not yet officially support Windows Server 2019 (Build 1809). For updates please check https://docs.docker.com/ee/supported-platforms/
Leveraging Docker inside a Linux VM or Windows Server 2016 VM is supported (nested virtualization).
Docker containers running on Windows Server 2019 are based on Windows Server Core or Nano Server. The base images are now hosted on Microsofts container registry, MCR.
Windows Server 2019 introduces support for running both Windows and Linux containers on the same container host, using the same Docker daemon. This enables end-user organizations to have a heterogenous container host environment while providing flexibility to application developers.
Docker EE = Docker Enterprise Edition
Native = Windows Containers
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Container Platform Interconnect
Details
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Docker Volume plugin (certified)
The DataCore SDS Docker Volume plugin (DVP) enables Docker Containers to use storage persistently, in other words enables SANsymphony data volumes to persist beyond the lifetime of both a container or a container host. DataCore leverages SANsymphony iSCSI and FC to provide storage to containers. This effectively means that the hypervisor layer is bypassed.
The Docker SDS Volume plugin (DVP) is officially 'Docker Certified' and can be downloaded from the Docker Hub. The plugin is installed inside the Docker host, which can be either a VM or a Bare Metal Host connect to a SANsymphony storage cluster.
For more information please go to: https://hub.docker.com/plugins/datacore-sds-volume-plugin
The Kubernetes CSI plugin can be downloaded from GitHub. The plugin is automatically deployed as several pods within the Kubernetes system.
For more information please go to: https://github.com/DataCoreSoftware/csi-plugin
Both plugins are supported with SANsymphony 10 PSP7 U2 and later.
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N/A
Scale Computing HC3 does not officially support any container platforms.
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OS-integrated software + CSV/SMB (Native)
VHDX (Docker in Linux VM or Windows Server 2016 VM)
NEW
Native: With Windows Server 2019 (plus latest updates) there is support for mapping container data volumes on top of Cluster Shared Volumes (CSV) backed by S2D shared volumes. This allows a container to access its persistent data regardless of the physical cluster node where the container resides.
With Scaleout File Server, created on top of an S2D cluster, the same CSV data folder can be made accessible via an Server Message Block (SMB) share. This remote SMB share can then be mapped locally on a container host, using the new SMB Global Mapping PowerShell.
Docker: When leveraging Docker inside a Linux or Windows Sever 2016 VM, virtual disks (VHDX) is configured and attached to the VM. Inside the VM one or more virtual disks are mapped to the Linux/Windows container.
Native = Windows Containers
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Container Host Compatibility
Details
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Virtualized container hosts on all supported hypervisors
Bare Metal container hosts
The DataCore native plug-ins are container-host centric and as such can be used across all SANsymphony-supported hypervisor platforms (VMware vSphere, Microsoft Hyper-V, KVM, XenServer, Oracle VM Server) as well as on bare metal platforms.
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N/A
Scale Computing HC3 does not officially support any container platforms.
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Virtualized container hosts on Microsoft Hyper-V hypervisor (Docker in Linux VM, Native in Windows VM)
Bare Metal container hosts (Native)
NEW
Both Windows Server 2019 with the Hyper-V role installed and bare metal Windows Server 2019 are supported for hosting Windows containers.
Windows Server 2019 is not yet officially supported by Docker and Kubernetes.
Leveraging Docker inside a Linux VM to run Linux containers is also a supported configuration.
Native = Windows Containers
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Container Host OS Compatbility
Details
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Linux
All Linux versions supported by Docker CE/EE 18.03+ or higher can be used.
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N/A
Scale Computing HC3 does not officially support any container platforms.
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Windows Server 2019 (Native)
Windows Server 2016 (Docker)
Linux (Docker)
NEW
Windows Server 2019 supports native Windows Server 2016 containers with Hyper-V Isolation and Windows Server 2019 containers with and without Hyper-V Isolation. Windows 10 containers are not (yet) supported for running on Windows Server 2019, with or without Hyper-V Isolation.
Windows Server 2019 is not yet officially supported by Docker and Kubernetes.
Native = Windows Containers
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Container Orch. Compatibility
Details
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Kubernetes 1.13+
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N/A
Scale Computing HC3 does not officially support any container platforms.
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Kubernetes v1.14+
NEW
Windows Server 2019 is officially supported by Kubernetes since version 1.14. The current version is Kubernetes 1.17.
Windows Server 2019 is the only Windows operating system supported, enabling Kubernetes Node on Windows (including kubelet, container runtime, and kube-proxy). Windows Server 2019 is only supported as a worker node in the Kubernetes architecture and component matrix. This means that a Kubernetes cluster must always include Linux master nodes, zero or more Linux worker nodes, and zero or more Windows worker nodes. There are no plans to have a Windows-only Kubernetes cluster.
Kubernetes currently only supports Windows containers with process isolation. Support for Windows containers with Hyper-V isolation is planned for a future release.
Docker EE-basic 18.09 is required on Windows Server 2019 / 1809 nodes for Kubernetes.
v1.17: Windows worker nodes in a Kubernetes cluster now support Windows Server version 1903 in addition to the existing support for Windows Server 2019.
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Container Orch. Interconnect
Details
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Kubernetes CSI plugin
The Kubernetes CSI plugin provides several plugins for integrating storage into Kubernetes for containers to consume.
DataCore SANsymphony provides native industry standard block protocol storage presented over either iSCSI or Fibre Channel. YAML files can be used to configure Kubernetes for use with DataCore SANsymphony.
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N/A
Scale Computing HC3 does not officially support any container platforms.
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Kubernetes FlexVolume Plugin
NEW
FlexVolume is an out-of-tree plugin interface that has existed in Kubernetes since version 1.2 (before CSI). CSI Plugins are still in an alpha feature state.
Windows has a layered filesystem driver to mount container layers and create a copy filesystem based on NTFS. All file paths in the container are resolved only within the context of that container.
The following storage functionality is not supported on Windows nodes:
- Volume subpath mounts. Only the entire volume can be mounted in a Windows container.
- Subpath volume mounting for Secrets
- Host mount projection
- DefaultMode (due to UID/GID dependency)
- Read-only root filesystem. Mapped volumes still support readOnly
- Block device mapping
- Memory as the storage medium
- File system features like uui/guid, per-user Linux filesystem permissions
- NFS based storage/volume support
- Expanding the mounted volume (resizefs)
CSI = Container Storage Interface
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VDI |
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VDI Compatibility
Details
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VMware Horizon
Citrix XenDesktop
There is no validation check being performed by SANsymphony for VMware Horizon or Citrix XenDesktop VDI platforms. This means that all versions supported by these vendors are supported by DataCore.
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Citrix XenDesktop
Parallels RAS
Leostream
Scale Computing HC3 HyperCore is a Citrix Ready platform. XenDesktop 7.6 LTSR, 7.8 and 7.9 are officially supported.
Scale Computing HC3 also actively supports the following desktop virtualization software:
- Parallels Remote Application Server (RAS);
- Leostream (=connection management).
A joint Reference Configuration white paper for Parallels RAS on Scale Computing HC3 was published in June 2019.
A joint Quick Start with Scale Computing HC3 and Leostream white paper was released in March 2019.
Since Scale Computing HC3 does not support the VMware vSphere hypervisor, VMware Horizon is not an option.
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Microsoft RDS on Hyper-V
Citrix Virtual Apps and Desktops 7 1808
Workspot VDI on Hyper-V
NEW
Citrix Virtual Apps and Desktops 7 1808 provides official support for Windows Server 2019.
Microsoft Windows Server 2019 with Remote Desktop Services (RDS) installed and Hyper-V can be used to host multiple virtual desktops. Storage Spaces Direct (S2D) supports all VDI scenarios related to RDS.
Remote Desktop Service (RDS) is a proprietary Microsoft protocol that allows users to connect remotely to a network with a graphic user interface. While the RDS client is installed on the user system, the RDS server software is installed on the server, and a remote connection is established with one or more terminal servers. While users in the RDS network connect to the server using a VM, this VM is shared with other users and operates on the same server OS for all users. A Microsoft RDS farm can provide a desktop session, an application session and a virtual desktop session located in a virtual machine
Virtual desktop infrastructure (VDI) involves running user desktops inside virtual machines that are hosted on datacenter servers. In a VDI environment, each user is allotted a dedicated VM that runs a separate operating system. This provides an isolated environment for each individual user. A connection broker is used to manage the VMs.
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VMware: 110 virtual desktops/node
Citrix: 110 virtual desktops/node
DataCore has not published any recent VDI reference architecture whitepapers. The only VDI related paper that includes a Login VSI benchmark dates back to december 2010. There a 2-node SANsymphony cluster was able to sustain a load of 220 VMs based on the Login VSI 2.0.1 benchmark.
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Workspot: 40 virtual desktops/node
Workspot VDI 2.0: Load bearing number is based on Login VSI tests performed on hybrid HC2150 appliances using 2vCPU Windows 7 desktops and the Knowledge Worker profile.
For detailed information please view the corresponding whitepaper. Please note that this technical whitepaper is dated August 2016 and that Workspot VDI 2.0 no longer exists. Workspots current portfolio only includes cloud solutions that run in Microsoft Azure.
Scale Computing has not published any Reference Architecture whitepapers for the Citrix XenDesktop platform.
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N/A
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Server Support
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Server/Node |
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Hardware Vendor Choice
Details
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Many
SANsymphony runs on all server hardware that supports x86 - 64bit.
DataCore provides minimum requirements for hardware resources.
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Lenovo (native and OEM)
SuperMicro (native)
Scale Computing leverages both Lenovo and SuperMicro server hardware as building blocks for is native HC3 appliances:
HC1200 is Supermicro server hardware
HC1250 is Supermicro server hardware
HC1250D is Lenovo server hardware
HC1250DF is Lenovo server hardware
HC5250D is Lenovo server hardware
Scale Computing has maintained a partnership with MBX Systems since 2012. MBX Systems is a hardware integrator based in the US, with headquarters both in Chicago and San Jose, that is tasked with assembling the native HC3 appliances.
In May 2018 Scale Computing and Lenovo entered in an OEM partnership to provide Scale Computing HC3 software on Lenovo ThinkSystem tower (ST250) or rack servers (SR630, SR650, SR250) with a wide variety of hardware choices (eg. CPU and RAM).
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Many
Microsoft Windows Server 2019 supports many well-known server hardware vendors such as Dell, Lenovo and HPE.
Please review the Hardware Compatibility List (HCL) for more information about the supported hardware. (https://www.windowsservercatalog.com/default.aspx
Microsoft recommends to deploy Microsoft HCI on WSSD hardware: https://www.microsoft.com/en-us/cloud-platform/software-defined-datacenter
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Many
SANsymphony runs on all server hardware that supports x86 - 64bit.
DataCore provides minimum requirements for hardware resources.
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4 Native Models
NEW
There are 4 native model series to choose from:
HE100 Edge Computing/Remote offices, stores, warehouses, labs, classrooms, ships
HE500 Edge Computing/Small remote sites/DR
HC1200 SMB/Midmarket
HC5000 Enterprise/Distributed Enterprise
There are 4 Lenovo model series to choose from:
ST250 Edge, Backup
SR250 Edge
SR630 Mid-market
SR650 Mid-market, High Capacity
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Many
Microsoft Windows Server 2019 supports many well-known server hardware vendors such as Dell, Lenovo and HPE.
Please review the Hardware Compatibility List (HCL) for more information about the supported hardware.
Pre-validated solutions are available through the Windows Server Software Defined program: https://www.microsoft.com/en-us/cloud-platform/software-defined-datacenter
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1, 2 or 4 nodes per chassis
Note: Because SANsymphony is mostly hardware agnostic, customers can opt for multiple server densities.
Note: In most cases 1U or 2U building blocks are used.
Also Super Micro offers 2U chassis that can house 4 compute nodes.
Denser nodes provide a smaller datacenter footprint where space is a concern. However, keep in mind that the footprint for other datacenter resources such as power and heat and cooling is not necessarily reduced in the same way and that the concentration of nodes can potentially pose other challenges.
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1 node per chassis
NEW
Scale Computing HE100 appliances are Intel NUCs.
Scale Computing HE500 appliances are either 1U building blocks or Towers.
Scale Computing HC1200 appliances are 1U building blocks.
Scale Computing HC5000 appliances are 2U building blocks.
Lenovo HC3 Edge ST250 appliances are Towers.
Lenovo HC3 Edge SR250 appliances are 1U building blocks.
Lenovo HC3 Edge SR630 appliances are 1U building blocks.
Lenovo HC3 Edge SR650 appliances are 2U building blocks.
Denser nodes provide a smaller datacenter footprint where space is a concern. However, keep in mind that the footprint for other datacenter resources such as power and heat and cooling is not necessarily reduced in the same way and that the concentration of nodes can potentially pose other challenges.
NUC = Next Unit of Computing
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1, 2 or 4 nodes per chassis
Because Storage Spaces Direct (S2D) is mostly hardware agnostic, customers can opt for multiple server densities.
Denser nodes provide a smaller datacenter footprint where space is a concern. However, keep in mind that the footprint for other datacenter resources such as power and heat and cooling is not necessarily reduced in the same way and that the concentration of nodes can potentially pose other challenges.
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Yes
DataCore does not explicitly recommend using different hardware platforms, but as long as the hardware specs are somehow comparable, there is no reason to insist on one or the other hardware vendor. This is proven in practice, meaning that some customers run their productive DataCore environment on comparable servers of different vendors.
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Yes
Scale Computing allows for mixing different server hardware in a single HC3 cluster, including nodes from different generations.
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Yes
Storage Spaces Direct (S2D) accepts that different server hardware can be added to the cluster.
If the capacity of the storage devices are not the same, the capacity used will be the same as the smallest available.
When deploying S2D in a single-layer model, be careful about live migrating VMs between nodes with dissimilar CPUs (eg. mixing AMD servers with Intel servers within the same cluster).
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Components |
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Flexible
Minimum hardware requirements need to be fulfilled.
For more information please go to: https://www.datacore.com/products/sansymphony/tech/compatibility/
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Flexible: up to 3 options (native); extensive (Lenovo OEM)
Scale Computing HE100-series CPU options:
HE150: 1x Intel i3-10110U (2 cores); 1x Intel i5-10210U (4 cores); 1x i7-10710U (6 cores)
Scale Computing HE500-series CPU options:
HE500: 1x Intel Xeon E-2124 (4 cores); 1x Intel Xeon E-2134 (4 cores); 1x Intel Xeon E-2136 (6 cores)
HE550: 1x Intel Xeon E-2124 (4 cores); 1x Intel Xeon E-2134 (4 cores); 1x Intel Xeon E-2136 (6 cores)
HE550F: 1x Intel Xeon E-2124 (4 cores); 1x Intel Xeon E-2134 (4 cores); 1x Intel Xeon E-2136 (6 cores)
HE500T: 1x Intel Xeon E-2124 (4 cores); 1x Intel Xeon E-2134 (4 cores); 1x Intel Xeon E-2136 (6 cores)
HE550TF: 1x Intel Xeon E-2124 (4 cores); 1x Intel Xeon E-2134 (4 cores); 1x Intel Xeon E-2136 (6 cores)
Scale Computing HC1200-series CPU options:
HC1200: 1x Intel Xeon Bronze 3204 (6 cores); 1x Intel Xeon Silver 4208 (8 cores)
HC1250: 1x Intel Xeon Silver 4208 (8 cores); 2x Intel Xeon Silver 4210 (10 cores); 2x Intel Xeon Gold 6242 (16 cores)
HC1250D: 2x Intel Xeon Silver 4208 (8 cores); 2x Intel Xeon Silver 4210 (10 cores); 2x Intel Xeon Gold 6230 (20 cores); 2x Intel Xeon Gold 6242 (16 cores); 2x Intel Xeon Gold 6244 (8 cores)
HC1250DF: 2x Intel Xeon Silver 4208 (8 cores); 2x Intel Xeon Silver 4210 (10 cores); 2x Intel Xeon Gold 6230 (20 cores); 2x Intel Xeon Gold 6242 (16 cores); 2x Intel Xeon Gold 6244 (8 cores)
Scale Computing HC5000-series CPU options:
HC5200: 1x Intel Xeon Silver 4208 (8 cores); 1x Intel Xeon Silver 4210 (10 cores); 1x Intel Xeon Gold 6230 (20 cores)
HC5250D: 2x Intel Xeon Silver 4208 (8 cores); 2x Intel Xeon Silver 4210 (10 cores); 2x Intel Xeon Gold 6230 (20 cores); 2x Intel Xeon Gold 6242 (16 cores)
Scale Computing HC1200 and HC5000 series nodes ship with 2nd generation Intel Xeon Scalable (Cascade Lake) processors.
Lenovo HC3 Edge CPU options:
ST250: 1x Intel Xeon E-2100
SR250: 1x Intel Xeon E-2100
SR630: 2x 1st or 2nd generation Intel Xeon Scalable (Skylake or Cascade Lake)
SR650: 2x 1st or 2nd generation Intel Xeon Scalable (Skylake or Cascade Lake)
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Flexible
NEW
There is a wide range of Intel Xeon E5, 1st Intel Xeon Scalable (Skylake) and 2nd generation Intel Xeon Scalable processors (Cascade Lake) to choose from (2 processor sockets per node).
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Flexible
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Flexible: up to 8 options
Scale Computing HE100-series memory options:
HE150: 8GB, 16GB, 32GB, 64GB
Scale Computing HE500-series memory options:
HE500: 16GB, 32GB, 64GB
HE550: 16GB, 32GB, 64GB
HE550F: 16GB, 32GB, 64GB
HE500T: 16GB, 32GB, 64GB
HE500TF: 16GB, 32GB, 64GB
Scale Computing HC1200-series memory options:
HC1200: 64GB, 96GB, 128GB, 192GB, 256GB, 384GB
HC1250: 64GB, 96GB, 128GB, 192GB, 256GB, 384GB
HC1250D: 128GB, 192GB, 256GB; 384GB, 512GB, 768GB
HC1250DF: 128GB, 192GB, 256GB; 384GB, 512GB, 768GB
Scale Computing HC5000-series memory options:
HC5200: 64GB, 128GB, 192GB, 256GB; 384GB, 512GB, 768GB
HC5250D: 128GB, 192GB, 256GB; 384GB, 512GB, 768GB, 1TB, 1.5TB
Lenovo HC3 Edge series memory options:
ST250: 16GB - 64GB
SR250: 16GB - 64GB
SR630: 64GB - 768GB
SR650: 64GB - 1.5TB
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Flexible
Up to 24TB of memory in can be installed in each server node (equal to Windows Server 2016 Datacenter limit).
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Flexible
Minimum hardware requirements need to be fulfilled.
For more information please go to: https://www.datacore.com/products/sansymphony/tech/compatibility/
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Capacity: up to 5 options (HDD, SSD)
Fixed: Number of disks
Scale Computing HE100-series storage options:
HE150: 1x 250GB/500GB/1TB/2TB M.2 NVMe
Scale Computing HE500-series storage options:
HE500: 4x 1/2/4/8TB NL-SAS [magnetic-only]
HE550: 1x 480GB/960GB SSD + 3x 1/2/4TB NL-SAS [hybrid]
HE550F: 4x 240GB/480GB/960GB SSD [all-flash]
HE500T: 4x 1/2/4/8TB NL-SAS + 8x 4/8TB NL-SAS [magnetic-only]
HE550TF: 4x 240GB/480GB/960GB SSD [all-flash]
Scale Computing HC1200-series storage options:
HC1200: 4x 1/2/4/8/12TB NL-SAS [magnetic-only]
HC1250: 1x 480GB/960GB/1.92TB/3.84TB/7.68TB SSD + 3x 1/2/4/8/12TB NL-SAS [hybrid]
HC1250D: 1x 960GB/1.92TB/3.84TB/7.68TB SSD + 3x 1/2/4/8TB NL-SAS [hybrid]
HC1250DF: 4x 960GB/1.92TB/3.84TB/7.68TB SSD [all-flash]
Scale Computing HC5000-series storage options:
HC5200: 12x 8/12TB NL-SAS [magnetic-only]
HC5250D: 3x 960GB/1.92TB/3.84TB/7.68TB SSD + 9x 4/8TB NL-SAS [hybrid]
Lenovo HC3 Edge series storage options:
ST250: 8x 1/2/4/8TB NL-SAS [magnetic only]
ST250: 4x 960GB/1.92TB/3.84TB SSD [all-flash]
SR250: 4x 1/2/4/8TB NL-SAS [magnetic only]
SR250: 1x 960GB/1.92TB/3.84TB SSD + 3x 1/2/4/8TB NL-SAS [hybrid]
SR250: 4x 960GB/1.92TB/3.84TB SSD [all-flash]
SR630: 4x 1/2/4/8TB NL-SAS [magnetic only]
SR630: 1x 480GB/960GB/1.92TB/3.84TB/7.68TB SSD + 3x 1/2/4/8TB NL-SAS [hybrid]
SR630: 4x 1.92TB/3.84TB/7.68TB SSD [all-flash]
SR650: 3x 480GB/960GB/1.92TB/3.84TB/7.68TB SSD + 9x 1/2/4/8TB NL-SAS [hybrid]
The SSDs in all mentioned nodes are normal SSDs (non-NMVe).
SATA = NL-SAS = 7.2k RPM = High-capacity low-speed drives
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Flexible
Up to 1PB per storage devices can be part of the same pool. These devices can be NVMe, SSD (SAS or SATA) and/or HDD (SAS or SATA).
The storage devices can be mixed for caching and tiering purposes.
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Flexible
Minimum hardware requirements need to be fulfilled.
For more information please go to: https://www.datacore.com/products/sansymphony/tech/compatibility/
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Fixed: HC1200/5000: 10GbE; HE150/500T: 1GbE
Flexible: HE500: 1/10GbE
Scale Computing HE100-series networking options:
HE150: 1x 1GbE
Scale Computing HE500-series networking options:
HE500: 4x 1GbE or 4x 10GbE SFP+
HE550: 4x 1GbE or 4x 10GbE SFP+
HE550F: 4x 1GbE or 4x 10GbE SFP+
HE500T: 2x 1GbE
HE550TF: 2x 1GbE
Scale Computing HC1200-series networking options:
HC1200: 4x 10GbE Base-T/SFP+ bonded active/passive
HC1250: 4x 10GbE Base-T/SFP+ bonded active/passive
HC1250D: 4x 10GbE Base-T/SFP+ bonded active/passive
HC1250DF: 4x 10GbE Base-T/SFP+ bonded active/passive
Scale Computing HC5000-series networking options:
HC5200: 4x 10GbE Base-T/SFP+ bonded active/passive
HC5250D:4x 10GbE Base-T/SFP+ bonded active/passive
Lenovo HC3 Edge series networking options:
ST250: 2x 1GbE
SR250: 4x 1GbE or 4x 10GbE SFP+
SR630: 4x 10GbE BaseT or 4x 10GbE SFP+
SR650: 4x 10GbE BaseT or 4x 10GbE SFP+
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Flexible
Any network adapters can be installed as long as they are part of the hardware listed in the Windows Server Catalog. For storage purposes, Remote-Direct Memory Access (RDMA) capable adapters are highly recommended (iWARP or RoCE).
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NVIDIA Tesla
AMD FirePro
Intel Iris Pro
DataCore SANsymphony supports the hardware that is on the hypervisor HCL.
VMware vSphere 6.5U1 officially supports several GPUs for VMware Horizon 7 environments:
NVIDIA Tesla M6 / M10 / M60
NVIDIA Tesla P4 / P6 / P40 / P100
AMD FirePro S7100X / S7150 / S7150X2
Intel Iris Pro Graphics P580
More information on GPU support can be found in the online VMware Compatibility Guide.
Windows 2016 supports two graphics virtualization technologies available with Hyper-V to leverage GPU hardware:
- Discrete Device Assignment
- RemoteFX vGPU
More information is provided here: https://docs.microsoft.com/en-us/windows-server/remote/remote-desktop-services/rds-graphics-virtualization
The NVIDIA website contains a listing of GRID certified servers and the maximum number of GPUs supported inside a single server.
Server hardware vendor websites also contain more detailed information on the GPU brands and models supported.
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N/A
Scale Computing HC3 currently does not provide any GPUs options.
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NVIDIA Tesla
AMD FirePro
Intel Iris Pro
Microsoft Windows Server 2019 supports two graphics virtualization technologies available with Hyper-V to leverage GPU hardware:
- Discrete Device Assignment
- RemoteFX vGPU
More information is provided here: https://docs.microsoft.com/en-us/windows-server/remote/remote-desktop-services/rds-graphics-virtualization
The NVIDIA website contains a listing of GRID certified servers and the maximum number of GPUs supported inside a single server.
Server hardware vendor websites also contain more detailed information on the GPU brands and models supported.
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Scaling |
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CPU
Memory
Storage
GPU
The SANsymphony platform allows for expanding of all server hardware resources.
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CPU
Memory
The Scale Computing HC3 platform allows for expanding CPU and Memory hardware resources. Storage resources (the number of disks within a single node) are usually not expanded.
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CPU
Memory
Storage
GPU
Storage: Any node can scale up to a maximum of 400TB of raw storage capacity. There is no set maximum for the number of devices for a node, however the maximum number of storage devices for a cluster is 416.
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Storage+Compute
Compute-only
Storage-only
Storage+Compute: In a single-layer deployment existing SANsymphony clusters can be expanded by adding additional nodes running SANsymphony, which adds additional compute and storage resources to the shared pool. In a dual-layer deployment both the storage-only SANsymphony clusters and the compute clusters can be expanded simultaneously.
Compute-only: Because SANsymphony leverages virtual block volumes (LUNs), storage can be presented to hypervisor hosts not participating in the SANsymphony cluster. This is also beneficial to migrations, since it allows for online storage vMotions between SANsymphony and non-SANsymphony storage platforms.
Storage-only: In a dual-layer or mixed deployment both the storage-only SANsymphony clusters and the compute clusters can be expanded independent from each other.
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Storage+Compute
Storage-only
Storage+Compute: Existing Scale Computing HC3 clusters can be expanded by adding additional nodes, which adds additional compute and storage resources to the shared pool.
Compute-only: N/A; A Scale Computing HC3 node always takes active part in the hypervisor (compute) cluster as well as the storage cluster.
Storage-only: A Scale Computing HC3 node can be configured as a storage-only node by setting a flag and has to be performed by Scale Computing engineering (end-user organizations cannot set the flag themselves).
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Compute+storage
Compute-only/Storage-only
Compute+storage: Existing single-layer Storage Spaces Direct clusters can be expanded by adding additional S2D nodes, which adds additional compute and storage resources to the shared pool.
Compute-only/Storage-only: When Storage Spaces Direct (S2D) is using the dual-layer deployment model, the storage nodes act as scale-out file servers and can be shared to any compute node through SMB3. Therefore the compute layer and the storage layer can scale-out independently.
The storage layer cannot be shared when Storage Spaces Direct (S2D) is using the single layer deployment model.
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1-64 nodes in 1-node increments
There is a maximum of 64 nodes within a single cluster. Multiple clusters can be managed through a single SANsymphony management instance.
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3-8 nodes in 1-node increments
There is a maximum of 8 nodes within a single cluster. Larger clusters do exist, but must be requested and are evaluated on a per use-case basis.
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2-16 nodes in 1-node increments; >1,000 nodes in a federation (cluster set)
NEW
The maximum S2D cluster consists of 16 server nodes. The data is automatically rebalanced across the cluster when a server is wither added to or removed from the cluster.
The maximum raw capacity per S2D cluster is 4PB. The maximum number of drives per S2D cluster os 416.
Microsoft Windows Server 2019 brings Cluster Sets that enables to move VMs across several clusters that are federated in a 'cluster set'.
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Small-scale (ROBO)
Details
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2 Node minimum
DataCore prevents split-brain scenarios by always having an active-active configuration of SANsymphony with a primary and an alternate path.
In the case SANsymphony servers are fully operating but do not see each other, the application host will still be able to read and write data via the primary path (no switch to secondary). The mirroring is interrupted because of the lost connection and the administrator is informed accordingly. All writes are stored on the locally available storage (primary path) and all changes are tracked. As soon as the connection between the SANsymphony servers is restored, the mirror will recover automatically based on these tracked changes.
Dual updates due to misconfiguration are detected automatically and data corruption is prevented by freezing the vDisk and waiting for user input to solve the conflict. Conflict solutions could be to declare one side of the mirror to be the new active data set and discarding all tracked changes at the other side, or splitting the mirror and merge the two data sets into a 3rd vDisk manually.
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1 Node minimum
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2 Node minimum
Storage Spaces Direct (S2D) supports a minimum of 2 server nodes. S2D in Windows Server 2019 introduces support for two simultaneous failures with the new 'nested resiliency' feature.
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Storage Support
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General |
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Block Storage Pool
SANsymphony only serves block devices to the supported OS platforms.
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Block Storage Pool
Scale Computing HC3 only serves block devices to the supported OS guest platforms. VMs running on HC3 have direct, block-level access to virtual SCRIBE devices (VSDs, aka virtual disks) in the clustered storage pool without the complexity or performance overhead introduced by using remote storage protocols.
A critical software component of HyperCore is the Scale Computing Reliable Independent Block Engine, known as
SCRIBE. SCRIBE is an enterprise class, clustered block storage layer, purpose built to be consumed by the HC3 embedded KVM based hypervisor directly.
SCRIBE discovers and aggregates all block storage devices across all nodes of the system into a single managed pool of storage. All data written to this pool is immediately available for read and write by any and every node in the storage system, allowing for sophisticated data redundancy, data deduplication, and load balancing schemes to be used by higher layers of the stack—such as the HyperCore
compute layer.
SCRIBE is a wide-striped storage architecture that combines all disks in the cluster into a single storage pool that is tiered between flash SSD and spinning HDD storage.
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SSB Block Pool
Enabling the S2D feature inside the Windows Failover Cluster settings automatically enables Storage Bus Layer (SBL) as well.SBL provides a virtual Initiator and Target to each node. SBL uses block over SMB3 and SMB Direct as the transport for communication between the servers in the cluster. SBL allows each node to see all disks of all the nodes within the same cluster. The disks are then aggregated within a shared Storage Pool.
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Partial
DataCores core approach is to provide storage resources to the applications without having to worry about data locality. But if data locality is explicitly requested, the solution can partially be designed that way by configuring the first instance of all data to be stored on locally available storage (primary path) and the mirrored instance to be stored on the alternate path (secondary path). Furthermore every hypervisor host can have a local preferred path, indicated by the ALUA path preference.
By default data does not automatically follow the VM when the VM is moved to another node. However, virtual disks can be relocated on the fly to other DataCore node without losing I/O access, but this relocation takes some time due to data copy operations required. This kind of relocation usually is done manually, but we allow automation of such tasks and can integrate with VM orchestration using PowerShell for example.
Whether data locality is a good or a bad thing has turned into a philosophical debate. Its true that data locality can prevent a lot of network traffic between nodes, because the data is physically located at the same node where the VM resides. However, in dynamic environments where VMs move to different hosts on a frequent basis, data locality in most cases requires a lot of data to be copied between nodes in order to maintain the physical VM-data relationship. The SDS/HCI vendors today that choose not to use data locality, advocate that the additional network latency is negligible.
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None
Scale Computing HC3 is based on a shared nothing storage architecture. Scale Computing HC3 enables every drive in every node throughout the cluster to contribute to the storage performance and capacity of every virtual disk (VDS) presented by the SCRIBE storage layer. When a VM is moved to another node, data remains in place and does not follow the VM because data is stored and available across all nodes residing in the cluster.
Whether data locality is a good or a bad thing has turned into a philosophical debate. Its true that data locality can prevent a lot of network traffic between nodes, because the data is physically located at the same node where the VM resides. However, in dynamic environments where VMs move to different hosts on a frequent basis, data locality in most cases requires a lot of data to be copied between nodes in order to maintain the physical VM-data relationship. The SDS/HCI vendors today that choose not to use data locality, advocate that the additional network latency is negligible.
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None
Because Storage Spaces Direct (S2D) uses both SBL and RDMA, active data can be located on other storage nodes without negatively impacting performance. As such RDMA is highly recommened when using S2D in conjunction with Hyper-V VM workloads.
Whether data locality is a good or a bad thing has turned into a philosophical debate. Its true that data locality can prevent a lot of network traffic between nodes, because the data is physically located at the same node where the VM resides. However, in dynamic environments where VMs move to different hosts on a frequent basis, data locality in most cases require a lot of data to be copied between nodes in order to maintain the physical VM-data relationship. The SDS/HCI vendors today that choose not to use data locality, advocate that the additional network latency is negligible.
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Direct-attached (Raw)
Direct-attached (VoV)
SAN or NAS
VoV = Volume-on-Volume; The Virtual Storage Controller uses virtual disks provided by the hypervisor platform.
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Direct-Attached (Raw)
Direct-attached: The software takes ownership of the unformatted physical disks available each host.
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Direct-Attached (Raw)
Direct-attached: The software takes ownership of the unformatted physical disks available each host.
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Magnetic-only
All-Flash
3D XPoint
Hybrid (3D Xpoint and/or Flash and/or Magnetic)
NEW
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Magnetic-only
Hybrid (Flash+Magnetic)
All-Flash
Scale Computing HC3 appliance models storage composition:
HC1200: Magnetic-only
HC1250: Hybrid
HC1250D: Hybrid
HC1250DF: All-flash
HC5250D: Hybrid
A Magnetic-only node is called a Non-tiered node and contains 100% HDD drives and no SSD drives.
A Hybrid node is called a Tiered node and contains 25% SSD drives and 75% HDD drives.
An All-Flash node contains 100% SSD drives and no HDD drives.
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Hybrid (Flash+Magnetic)
All-Flash
(Persistent Memory)
NEW
Storage Spaces Direct (S2D) can be deployed using different compositions:
- Hybrid (Flash + HDD)
- All-Flash (SSD-only / Performance SSD + Capacity SSD / NVMe + SSD)
- Multi-Resilient Volume (Performance SSD + Capacity SSD + HDD / NVMe + Capacity SSD + HDD)
In an all-flash solution, NVMe can be used as a high-performance caching layer whilst large SATA HDDs (eg. 2-4TB) can be used as the persistent storage layer.
Microsoft Server 2019 support Intel Optane DC Persistent Memory. However, the Intel hardware has just entered the beta stage ans as such is not generally available (GA) yet.
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Hypervisor OS Layer
Details
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SD, USB, DOM, SSD/HDD
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HDD or SSD (partition)
By default for each 1TB of data, 8MB is allocated for metadata. The data and metadata is stored on the physical storage devices (RSDs) and both are protected using mirroring (2N). Because metadata is this lightweight, all of the metadata of all of the online VSDs is cached in DRAM.
VSD = Virtual SCRIBE Device
RSD = Real SCRIBE Device
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SSD/HDD
Persistent Memory
NEW
When deploying Windows Server 2019 in a standard configuration (Core or with GUI) the OS has to be installed on physical disks (SSD or HDD).
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Memory |
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DRAM
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DRAM
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DRAM
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Read/Write Cache
DataCore SANsymphony accelerates reads and writes by leveraging the powerful processors and large DRAM memory inside current generation x86-64bit servers on which it runs. Up to 8 Terabytes of cache memory may be configured on each DataCore node, enabling it to perform at solid state disk speeds without the expense. SANsymphony uses a common cache pool to store reads and writes in.
SANsymphony read caching essentially recognizes I/O patterns to anticipate which blocks to read next into RAM from the physical back-end disks. That way the next request can be served from memory.
When hosts write to a virtual disk, the data first goes into DRAM memory and is later destaged to disk, often grouped with other writes to minimize delays when storing the data to the persistent disk layer. Written data stays in cache for re-reads.
The cache is cleaned on a first-in-first-out (FiFo) basis. Segment overwrites are performed on the oldest data first for both read- and write cache segment requests.
SANsymphony prevents the write cache data from flooding the entire cache. In case the write data amount runs above a certain percentage watermark of the entire cache amount, then the write cache will temporarily be switched to write-through mode in order to regain balance. This is performed fully automatically and is self-adjusting, per virtual disk as well as on a global level.
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Read Cache
Metadata structures
By default for each 1TB of data, 8MB is allocated for metadata. The data and metadata is stored on the physical storage devices (RSDs) and both are protected using mirroring (2N). Because metadata is this lightweight, all of the metadata of all of the online VSDs is cached in DRAM.
VSD = Virtual SCRIBE Device
RSD = Real SCRIBE Device
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Read Cache
Metadata structures
Storage Spaces Direct (S2D) leverages the CSV Cache as read cache for storage volumes.
When there are cache devices, for each 1TB of cache, 4GB of memory is used for metadata structures.
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Up to 8 TB
The actual size that can be configured depends on the server hardware that is used.
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4GB+
4GB of RAM is reserved per node for the entire HC3 system to function. No specific RAM is reserved for caching but the system will use any available memory as needed for caching purposes.
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S2D Cache (Hybrid): non-configurable
CSV Cache: configurable
Storage Spaces Direct (S2D) uses 4GB of DRAM per 1TB of configured cache space on each node. This cache is useful only in hybrid storage configurations (SSD + HDD, NVMe + SSD or NVMe + HDD). If you implement an all-flash solution (only SSD or only NVMe) the cache is not enabled.
With regard to Cluster Shared Volumes (CSVs) a Block Cache can be configured. Microsoft recommends configuring 2GBs of CSV Block Cache or more.
When S2D is implemented using the dual-layer (disaggregated) model, almost all of the memory on the storage hosts can be used for caching.
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Flash |
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SSD, PCIe, UltraDIMM, NVMe
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SSD, NVMe
HyperCore-Direct for NVMe can be requested and is evaluated by Scale Computing on a per-customer scenario basis.
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SSD, NVMe, (Persistent memory)
NEW
Storage Spaces Direct (S2D) supports both NVMe devices and SSD drives (SATA and SAS).
Supported flash media: NAND, 3D-NAND/V-NAND, 3D X-Point etc.
Supported Persistent Memory: NVDIMM-N.
NVDIMM-N is a DRAM/Flash hybrid memory module using flash to save the DRAM contents upon power failure.
The Windows Server Catalog does not list any NVDIMMs - including Intel Optane - that are either certified or compatible with Windows Server 2019. Also Azure Stack HCI Catalog does list Persistent Memory as a separate feature, but none of the hardware configurations so far leverage such hardware.
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Persistent Storage
SANsymphony supports new TRIM / UNMAP capabilities for solid-state drives (SSD) in order to reduce wear on those devices and optimize performance.
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Persistent Storage
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Read/Write Cache (hybrid)
Write Cache (all-flash)
Persistent storage (all-flash)
Hybrid solutions based on Flash + HDD):
- Flash is the Read/Write cache;
- HDD is the persistent storage layer.
All-flash solutions based on NVMe + SSD:
- NVMe is Write Cache only;
- SSD is the persistent storage layer.
When using only SSD or only NVMe in an all-flash solution, caching can be disabled.
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No limit, up to 1 PB per device
The definition of a device here is a raw flash device that is presented to SANsymphony as either a SCSI LUN or a SCSI disk.
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Hybrid: 1-3 SSDs per node
All-Flash: 4 SSDs per node
Flash devices are not mandatory in a Scale Computing HC3 solution.
Each HC1200 hybrid node has 1 SSD drive attached.
Each HC1250 all-flash node has 4 SSD drives attached.
Each HC5250 node has 3 SSD drives attached.
An HC1250 all-flash node can have a maximum of 15.36TB of raw SSD storage attached.
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Up to 4PB per cluster
NEW
With S2D in Windows Server 2019 you can install storage devices up to 4PB per cluster. The maximum raw capavity per node is 400TB.
the maximum number of storage devices in a cluster is 416. There is no set limit to the number of storage devices per node.
In hybrid configurations at least two flash devices (NVMe, SATA or SAS) per node are a hard requirement.
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Magnetic |
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SAS or SATA
SAS = 10k or 15k RPM = Medium-capacity medium-speed drives
SATA = NL-SAS = 7.2k RPM = High-capacity low-speed drives
In this case SATA = NL-SAS = MDL SAS
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Hybrid: SATA
SAS = 10k or 15k RPM = Medium-capacity medium-speed drives
SATA = NL-SAS = 7.2k RPM = High-capacity low-speed drives
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Hybrid: SAS or SATA
SAS = 10k or 15k RPM = Medium-capacity medium-speed drives
SATA = NL-SAS = 7.2k RPM = High-capacity low-speed drives
Magnetic disks are used for storing persistent data. There is a choice to use either SAS or SATA. Microsft has no limitation regarding magnetic storage.
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Persistent Storage
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Persistent Storage
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Persistent Storage
HDD is primarily meant as a high-capacity storage tier.
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Magnetic Capacity
Details
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No limit, up to 1 PB (per device)
The definition of a device here is a raw flash device that is presented to SANsymphony as either a SCSI LUN or a SCSI disk.
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Magnetic-only: 4 HDDs per node
Hybrid: 3 or 9 HDDs per node
Magnetic devices are not mandatory in a Scale Computing HC3 solution.
Each HC1200 magnetic-only node has 4 HDD drives attached.
Each HC1250 hybrid node has 3 HDD drives attached.
Each HC5250 hybrid node has 9 HDD drives attached.
An HC1200 magnetic-only node can have a maximum of 32TB of raw HDD storage attached.
An HC1250 hybrid node can have a maximum of 24TB of raw HDD storage attached.
An HC5250 hybrid node can have a maximum of 72TB of raw HDD storage attached.
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Up to 4PB per cluster
NEW
With S2D in Windows Server 2019 you can install storage devices up to 4PB per cluster. The maximum raw capavity per node is 400TB.
The maximum number of storage devices in a cluster is 416. There is no set limit to the number of storage devices per node.
In hybrid configurations at least two flash devices (NVMe, SATA or SAS) per node are a hard requirement.
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Data Availability
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Reads/Writes |
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Persistent Write Buffer
Details
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DRAM (mirrored)
If caching is turned on (default=on), any write will only be acknowledged back to the host after it has been succesfully stored in DRAM memory of two separate physical SANsymphony nodes. Based on de-staging algorithms each of the nodes eventually copies the written data that is kept in DRAM to the persistent disk layer. Because DRAM outperforms both flash and spinning disks the applications experience much faster write behavior.
Per default, the limit of dirty-write-data allowed per Virtual Disk is 128MB. This limit could be adjusted, but there has never been a reason to do so in the real world. Individual Virtual Disks can be configured to act in write-through mode, which means that the dirty-write-data limit is set to 0MB so effectively the data is directly written to the persistent disk layer.
DataCore recommends that all servers running SANsymphony software are UPS protected to avoid data loss through unplanned power outages. Whenever a power loss is detected, the UPS automatically signals this to the SANsymphony node and write behavior is switched from write-back to write-through mode for all Virtual Disks. As soon as the UPS signals that power has been restored, the write behavior is switched to write-back again.
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Flash/HDD
The persisent write buffer depends on the type of the block storage pool (Flash or HDD).
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Flash Layer (PMEM/NVMe/SSD)
NEW
The flash devices are used for Read and Write caching. When enabling Storage Spaces Direct (S2D), the SSDs are bound to the HDDs in round robin fashion. If an SSD fails, the HDDs are bound to another SSD within the same node. The same applies to the combinations NVMe/SSD, PMEM/SSD and PMEM/NVMe.
The cache information is replicated accross the node in cache storage devices. If a node fails and is up again, the cache information are recovered from others nodes in the cluster.
The cache information stored in a flash device is replicated accross the nodes within the storage cluster to be able to sustain the loss of a flash device or an entire node. If a failed node is up again, the cache information is automatically recovered from the others nodes in the cluster.
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Disk Failure Protection
Details
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2-way and 3-way Mirroring (RAID-1) + opt. Hardware RAID
DataCore SANsymphony software primarily uses mirroring techniques (RAID-1) to protect data within the cluster. This effectively means the SANsymphony storage platform can withstand a failure of any two disks or any two nodes within the storage cluster. Optionally, hardware RAID can be implemented to enhance the robustness of individual nodes.
SANsymphony supports Dynamic Data Resilience. Data redundancy (none, 2-way or 3-way) can be added or removed on-the-fly at the vdisk level.
A 2-way mirror acts as active-active, where both copies are accessible to the host and written to. Updating of the mirror is synchronous and bi-directional.
A 3-way mirror acts as active-active-backup, where the active copies are accessible to the host and written to, and the backup copy is inaccessible to the host (paths not presented) and written to. Updating of the mirrors active copies is synchronous and bi-directional. Updating of the mirrors backup copy is synchronous and unidirectional (receive only).
In a 3-way mirror the backup copy should be independent of existing storage resources that are used for the active copies. Because of the synchronous updating all mirror copies should be equal in storage performance.
When in a 3-way mirror an active copy fails, the backup copy is promoted to active state. When the failed mirror copy is repaired, it automatically assumes a backup state. Roles can be changed manually on-the-fly by the end-user.
DataCore SANsymphony 10.0 PSP9 U1 introduced System Managed Mirroring (SMM). A multi-copy virtual disk is created from a storage source (disk pool or pass-through disk) from two or three DataCore Servers in the same server group. Data is synchronously mirrored between the servers to maintain redundancy and high availability of the data. System Managed Mirroring (SMM) addresses the complexity of managing multiple mirror paths for numerous virtual disks. This feature also addresses the 256 LUN limitation by allowing thousands of LUNs to be handled per network adapter. The software transports data in a round robin mode through available mirror ports to maximize throughput and can dynamically reroute mirror traffic in the event of lost ports or lost connections. Mirror paths are automatically and silently managed by the software.
The System Managed Mirroring (SMM) feature is disabled by default. This feature may be enabled or disabled for the server group.
With SANsymphony 10.0 PSP10 adds seamless transition when converting Mirrored Virtual Disks (MVD) to System Managed Mirroring (SMM). Seamless transition converts and replaces mirror paths on virtual disks in a manner in which there are no momentary breaks in mirror paths.
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2-way Mirroring (Network RAID-10)
Within a Scale Computing HC cluster all data is written twice to the block storage pool for redundancy (2N). It is equivalent to Network RAID-10, as the two data chunks are placed on separate physical disks of separate physical nodes within the cluster. This protects against 1 disk failure and 1 node failure at the same time, and aggregates the I/O and throughput capabilities of all the individual disks in the cluster (= wide striping).
Once an RSD fails, the system re-mirrors the data using the free space in the HC3 cluster as a hot spare. Because all physical disks contain data, rebuilds are very fast. Scale Computing HC3 is often to detect the deteriorated state of a physical storage device in advance and pro-actively copy data to other devices ahead of an actual failure.
Currently only 1 Replica (2N) can be maintained, as the setting is not configurable for end-users.
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2-way and 3-way Mirroring (RAID-1) (primary)
Erasure Coding (N+1/N+2) (secondary)
Nested Resiliency (4N; RAID 5+1) (primary; 2-node only)
NEW
On volume creation the resiliency choices are:
- 2 or 3 way mirroring (= 2 or 3 replicas)
- single or dual parity (= erasure coding)
- Mirror-Accelerated Parity (= mirroring + erasure coding)
- Nested Resiliency (2-node only)
Replicas:
When choosing mirroring, each replica is placed on a separate physical node within the storage cluster. This means that 2-way mirroring requires a minimum of 2 nodes and 3-way mirroring requires a minimum of 3 nodes. 2-way mirroring most closely resembles RAID-1.
Mirroring provides the fastest possible reads and writes, with the least complexity, meaning the least latency and compute overhead.
Erasure Coding:
Single parity keeps only one bitwise parity symbol, which provides protection against one failure at the same time. It most closely resembles RAID-5.
Dual parity implements Reed-Solomon error-correcting codes to keep two bitwise parity symbols, thereby providing protection against up to two failures at the same time. It most closely resembles RAID-6.
Parity encoding provides better storage efficiency than mirroring without compromising fault tolerance.
Mixed Resiliency:
A volume can be part mirror and part parity. Based on the read/write activity, the new Resilient File System (ReFS) intelligently moves data between the two resiliency types in real-time to keep the most active data in the mirror part and the least active data in the parity part.
Mixed resiliency can be considered when most of the data on the volume is 'cold' data, but some sustained write activity for some data is still expected.
Nested Resiliency (2-node only):
This resiliency enables to support two simultaneous failures. When using Nested two-way mirror, the data is copied 3 times across the cluster with 2 data instances per node as a result (equal to 4-copy mirror). Can be also used in Multi Tier with one tier using two-way mirroring and the other tier using RAID5 parity.
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Node Failure Protection
Details
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2-way and 3-way Mirroring (RAID-1)
DataCore SANsymphony software primarily uses mirroring techniques (RAID-1) to protect data within the cluster. This effectively means the SANsymphony storage platform can withstand a failure of any two disks or any two nodes within the storage cluster. Optionally, hardware RAID can be implemented to enhance the robustness of individual nodes.
SANsymphony supports Dynamic Data Resilience. Data redundancy (none, 2-way or 3-way) can be added or removed on-the-fly at the vdisk level.
A 2-way mirror acts as active-active, where both copies are accessible to the host and written to. Updating of the mirror is synchronous and bi-directional.
A 3-way mirror acts as active-active-backup, where the active copies are accessible to the host and written to, and the backup copy is inaccessible to the host (paths not presented) and written to. Updating of the mirrors active copies is synchronous and bi-directional. Updating of the mirrors backup copy is synchronous and unidirectional (receive only).
In a 3-way mirror the backup copy should be independent of existing storage resources that are used for the active copies. Because of the synchronous updating all mirror copies should be equal in storage performance.
When in a 3-way mirror an active copy fails, the backup copy is promoted to active state. When the failed mirror copy is repaired, it automatically assumes a backup state. Roles can be changed manually on-the-fly by the end-user.
DataCore SANsymphony 10.0 PSP9 U1 introduced System Managed Mirroring (SMM). A multi-copy virtual disk is created from a storage source (disk pool or pass-through disk) from two or three DataCore Servers in the same server group. Data is synchronously mirrored between the servers to maintain redundancy and high availability of the data. System Managed Mirroring (SMM) addresses the complexity of managing multiple mirror paths for numerous virtual disks. This feature also addresses the 256 LUN limitation by allowing thousands of LUNs to be handled per network adapter. The software transports data in a round robin mode through available mirror ports to maximize throughput and can dynamically reroute mirror traffic in the event of lost ports or lost connections. Mirror paths are automatically and silently managed by the software.
The System Managed Mirroring (SMM) feature is disabled by default. This feature may be enabled or disabled for the server group.
With SANsymphony 10.0 PSP10 adds seamless transition when converting Mirrored Virtual Disks (MVD) to System Managed Mirroring (SMM). Seamless transition converts and replaces mirror paths on virtual disks in a manner in which there are no momentary breaks in mirror paths.
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2-way Mirroring (Network RAID-10)
Within a Scale Computing HC cluster all data is written twice to the block storage pool for redundancy (2N). It is equivalent to Network RAID-10, as the two data chunks are placed on separate physical disks of separate physical nodes within the cluster. This protects against 1 disk failure and 1 node failure at the same time, and aggregates the I/O and throughput capabilities of all the individual disks in the cluster (= wide striping).
Once an RSD fails, the system re-mirrors the data using the free space in the HC3 cluster as a hot spare. Because all physical disks contain data, rebuilds are very fast. Scale Computing HC3 is often to detect the deteriorated state of a physical storage device in advance and pro-actively copy data to other devices ahead of an actual failure.
Currently only 1 Replica (2N) can be maintained, as the setting is not configurable for end-users.
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1-2 Replicas (2N-3N)
Erasure Coding
Nested Resiliency (4N; RAID5+1) (primary; 2-node only)
NEW
Windows Server 2016 introduced a new feature called 'Fault Domain Awareness'. With Fault Domain Awareness the physical placement of devices on the node-, chassis- and rack level, can be properly defined. In the configuration a node can be assigned to a chassis and the chassis can be assigned to a rack. When Fault Domain Awareness is configured, S2D will spread the data intelligently across individual Fault Domains.
Effectively, when a node fails the data is already located on one or two other cluster nodes depending on the chosen protection level.
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Block Failure Protection
Details
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Not relevant (usually 1-node appliances)
Manual configuration (optional)
Manual designation per Virtual Disk is required to accomplish this. The end-user is able to define which node is paired to which node for that particular Virtual Disk. However, block failure protection is in most cases irrelevant as 1-node appliances are used as building blocks.
SANsymphony works on an N+1 redundancy design allowing any node to acquire any other node as a redundancy peer per virtual device. Peers are replacable/interchangable on a per Virtual Disk level.
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Not relevant (1U/2U appliances)
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Fault Domain Awareness
Windows Server 2016 introduced a new feature called 'Fault Domain Awareness'. With Fault Domain Awareness the physical placement of devices on the node-, chassis- and rack level, can be properly defined. In the configuration a node can be assigned to a chassis and the chassis can be assigned to a rack. When Fault Domain Awareness is configured, S2D will spread the data intelligently across individual Fault Domains.
Effectively, when a node fails the data is already located on one or two other cluster nodes depending on the chosen protection level.
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Rack Failure Protection
Details
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Manual configuration
Manual designation per Virtual Disk is required to accomplish this. The end-user is able to define which node is paired to which node for that particular Virtual Disk.
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N/A
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Fault Domain Awareness
Windows Server 2016 introduces a new feature called 'Fault Domain Awareness'. With Fault Domain Awareness the physical placement of devices on the node-, chassis- and rack level, can be properly defined. In the configuration a node can be assigned to a chassis and the chassis can be assigned to a rack. When Fault Domain Awareness is configured, S2D will spread the data intelligently across individual Fault Domains.
Effectively, when a rack fails the data is already located on one or two cluster nodes located in other racks depending the chosen protection level and physical deployment.
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Protection Capacity Overhead
Details
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Mirroring (2N) (primary): 100%
Mirroring (3N) (primary): 200%
+ Hardware RAID5/6 overhead (optional)
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Mirroring (2N) (primary): 100%
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Mirroring (2N) (primary): 100%
Mirroring (3N) (primary): 200%
EC (N+2) (secondary): 50%-80%
Nested Resiliency (4N) (primary): 300%
Nested Resiliency (RAID5+1) (primary): 150%
NEW
Erasure Coding: Microsoft discourages using single parity because it can only safely tolerate one hardware failure at a time. If one server is being rebooted when suddenly another drive or server fails, there will be downtime. If there are only 3 S2D servers, Micosoft recommends using three-way mirroring.
The EC configuration depends on the storage setup (hybrid vs. all-flash) as well as the number of nodes in the S2D cluster.
EC in Hybrid configurations (SSD+HDD):
4-6 Nodes use RS 2+2
7-11 Nodes use RS 4+2
12-16 Nodes use LRC 8+2,1
EC in All-Flash configurations (All SSD):
4-6 Nodes use RS 2+2
7-9 Nodes use RS 4+2
9-15 Nodes use RS 6+2
16 Nodes uses LRC 12+2,1
EC = Erasure Coding
RS = Reed-Solomon
LRC = Local Reconstruction Codes
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Data Corruption Detection
Details
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N/A (hardware dependent)
SANsymphony fully relies on the hardware layer to protect data integrity. This means that the SANsymphony software itself does not perform Read integrity checks and/or Disk scrubbing to verify and maintain data integrity.
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Read integrity checks (software)
Disk scrubbing (software)
The HC3 system performs continuous read integrity checks on data blocks to detect corruption errors. As blocks are written to disk, replica blocks are written to other disks within the storage pool for redundancy. Disk are continuously scrubbed in the background for errors and any corruption found is repaired from the replica data blocks.
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Read integrity checks
Proactive file integrity scrubber (requires ReFS integrity streams; optional)
Automatic in-line corruption correction (requires ReFS integrity streams; optional)
NEW
During writing of the data checksums are created and stored. When read again, a new checksum is created and compared to the initial checksum. If incorrect, a checksum is created from another replica of the same data. After succesful comparison this replica is used to repair the corrupted replica in order to stay compliant with the configured protection level.
ReFS uses a background scrubber, which enables ReFS to validate infrequently accessed data. This scrubber periodically scans the volume, identifies latent corruptions, and proactively triggers a repair of any corrupt data. The data integrity scrubber can only validate file data for files where integrity streams is enabled. By default, the scrubber runs every four weeks, though this interval can be configured within Task Scheduler.
Integrity streams is an optional feature in ReFS that validates and maintains data integrity using checksums. Integrity streams can be enabled for individual files, directories, or the entire volume, and integrity stream settings can be toggled at any time. Additionally, integrity stream settings for files and directories are inherited from their parent directories. Once integrity streams is enabled, ReFS will create and maintain a checksum for the specified file(s) in that files metadata.
Though integrity streams provides greater data integrity for the system, it also incurs a performance cost.
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Points-in-Time |
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Built-in (native)
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Built-in (native)
HyperCore snapshots use a space efficient allocate-on-write methodology where no additional storage is used at the time the snapshot is taken, but as blocks are changed the original content blocks are preserved, and new content written to freshly allocated space on the cluster.
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N/A
Storage Spaces Direct (S2D) does not provide any snapshot capabilities of its own.
No specific integration exists between S2D and Microsoft VSS and/or Hyper-V Checkpoints.
However, when using ReFSv2 volumes (instead of NTFS volumes) in S2D configurations, ReFSv2 allows Hyper-V checkpointing to be both fast and very efficient.
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Local + Remote
SANsymphony snapshots are always created on one side only. However, SANsymphony allows you to create a snapshot for the data on each side by configuring two snapshot schedules, one for the local volume and one for the remote volume. Both snapshot entities are independent and can be deleted independently allowing different retention times if needed.
There is also the capability to pair the snapshot feature along with asynchronous replication which provides you with the ability to have a third site long distance remote copy in place with its own retention time.
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Local (+ Remote)
Manual snapshots are always created on the source HC3 cluster only and are never deleted by the system.
Without remote replication active on a VM, snapshots created using snapshot schedules are also created on the source HC3 cluster only.
With remote replication active, a snapshot schedule repeatedly creates a VM snapshot on the source cluster and then copies that snapshot to the target cluster, where it is retained for a specified number of minutes/hours/days/weeks/months. The default remote replication frequency of 5 minutes, combined with the default retention of 25 minutes, means that by default 5 snapshots are maintained on the target HC3 cluster at any given time.
A VM can only have one snapshot schedule assigned at a time. However, a schedule can contain multiple recurrence rules. Each recurrence rule consists of a replication snapshot frequency (x minutes/hours/days/weeks/months), an execution time (eg. 12:00AM), and a retention (y minutes/hours/days/weeks).
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N/A
Storage Spaces Direct (S2D) does not provide any snapshot capabilities of its own.
No specific integration exists between S2D and Microsoft VSS and/or Hyper-V Checkpoints.
However, when using ReFSv2 volumes (instead of NTFS volumes) in S2D configurations, ReFSv2 allows Hyper-V checkpointing to be both fast and very efficient.
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Snapshot Frequency
Details
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1 Minute
The snapshot lifecycle can be automatically configured using the integrated Automation Scheduler.
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5 minutes
A snapshot schedule allows a minimum frequency of 5 minutes. However, ScaleCare Support recommends no less than every 15 minutes as a general best practice.
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N/A
Storage Spaces Direct (S2D) does not provide any snapshot capabilities of its own.
No specific integration exists between S2D and Microsoft VSS and/or Hyper-V Checkpoints.
However, when using ReFSv2 volumes (instead of NTFS volumes) in S2D configurations, ReFSv2 allows Hyper-V checkpointing to be both fast and very efficient.
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Snapshot Granularity
Details
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Per VM (Vvols) or Volume
With SANsymphony the rough hierarchy is: physical disk(s) or LUNs -> Disk Pool -> Virtual Disk (=logical volume).
Although DataCore SANsymphony uses block-storage, the platform is capable of attaining per VM-granularity if desired.
In Microsoft Hyper-V environments, when a VM with vdisks is created through SCVMM, DataCore can be instructed to automatically carve out a Virtual Disk (=storage volume) for every individual vdisk. This way there is a 1-to-1 alignment from end-to-end and snapshots can be created on the VM-level. The per-VM functionality is realized by installing the DataCore Storage Management Provider in SCVMM.
Because of the per-host storage limitations in VMware vSphere environments, VVols is leveraged to provide per VM-granularity. DataCore SANsymphony Provider v2.01 is certified for VMware ESXi 6.5 U2/U3, ESXi 6.7 GA/U1/U2/U3 and ESXi 7.0 GA/U1.
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Per VM
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N/A
Storage Spaces Direct (S2D) does not provide any snapshot capabilities of its own.
No specific integration exists between S2D and Microsoft VSS and/or Hyper-V Checkpoints.
However, when using ReFSv2 volumes (instead of NTFS volumes) in S2D configurations, ReFSv2 allows Hyper-V checkpointing to be both fast and very efficient.
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Built-in (native)
DataCore SANsymphony incorporates Continuous Data Protection (CDP) and leverages this as an advanced backup mechanism. As the term implies, CDP continuously logs and timestamps I/Os to designated virtual disks, allowing end-users to restore the environment to an arbitrary point-in-time within that log.
Similar to snapshot requests, one can generate a CDP Rollback Marker by scripting a call to a PowerShell cmdlet when an application has been quiesced and the caches have been flushed to storage. Several of these markers may be present throughout the 14-day rolling log. When rolling back a virtual disk image, one simply selects an application-consistent or crash-consistent restore point from just before the incident occurred.
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Built-in (native)
By combining Scale Computing HC3s native snapshot feature with its native remote replication mechanism, backup copies can be created on remote HC3 clusters.
A snapshot is not a backup:
1. For a data copy to be considered a backup, it must at the very least reside on a different physical platform (=controller+disks) to avoid dependencies. If the source fails or gets corrupted, a backup copy should still be accessible for recovery purposes.
2. To avoid further dependencies, a backup copy should reside in a different physical datacenter - away from the source. If the primary datacenter becomes unavailable for whatever reason, a backup copy should still be accessible for recovery purposes.
When considering the above prerequisites, a backup copy can be created by combining snapshot functionality with remote replication functionality to create independent point-in-time data copies on other SDS/HCI clusters or within the public cloud. In ideal situations, the retention policies can be set independently for local and remote point-in-time data copies, so an organization can differentiate between how long the separate backup copies need to be retained.
Apart from the native features, Scale Computing HC3 supports any in-guest 3rd party backup agents that are designed to run on Intel-based virtual machines on our supported OS platforms.
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External
Storage Spaces Direct (S2D) does not provide any backup capabilities of its own.
Therefore it relies on existing data protection solutions like Microsofts free-of-charge Windows Server Backup (WSB) software, Microsoft Data Protection Manager (DPM) which is part of the System Center suite, or any Hyper-V compatible 3rd party backup application like Veeam, CommVault or NetBackup. Windows Server Backup is part of the Windows Server license.
No specific integration exists between Storage Spaces Direct (S2D) and Microsoft WSB.
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Local or Remote
All available storage within the SANsymphony group can be configured as targets for back-up jobs.
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Locally
To remote sites
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WSB:
Locally
To remote sites
NEW
Windows Server Backup (WSB) can store backups locally or send them to a remote location.
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Continuously
As Continuous Data Protection (CDP) is being leveraged, I/Os are logged and timestamped in a continous fashion, so end-users can restore to virtually any-point-in-time.
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5 minutes (Asynchronous)
VM snapshots are created automatically by the replication process as quickly as every 5 minutes (as long as the previous snapshot’s change blocks have been fully replicated to the target HC3 cluster). The remote replication default schedule will take a snapshot every 5 minutes and keep snapshots for 25 minutes.
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WSB GUI: 30 minutes
Task Scheduler: 1 minute
The Windows Server Backup (WSB) GUI allows for backups to happen once a day or at multiple times a day that you select. Selectable times are at 30 minute increments.
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Backup Consistency
Details
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Crash Consistent
File System Consistent (Windows)
Application Consistent (MS Apps on Windows)
By default CDP creates crash consistent restore points. Similar to snapshot requests, one can generate a CDP Rollback Marker by scripting a call to a PowerShell cmdlet when an application has been quiesced and the caches have been flushed to storage.
Several CDP Rollback Markers may be present throughout the 14-day rolling log. When rolling back a virtual disk image, one simply selects an application-consistent, filesystem-consistent or crash-consistent restore point from (just) before the incident occurred.
In a VMware vSphere environment, the DataCore VMware vCenter plug-in can be used to create snapshot schedules for datastores and select the VMs that you want to enable VSS filesystem/application consistency for.
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Crash Consistent
File System Consistent (Windows)
Application Consistent (MS Apps on Windows)
For Windows VMs that require it, VSS snapshot integration is provided in the VIRTIO driver package.
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WSB: File System Consistent (Windows)
WSB: Application Consistent (MS Apps on Windows)
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Restore Granularity
Details
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Entire VM or Volume
With SANsymphony the rough hierarchy is: physical disk(s) or LUNs -> Disk Pool -> Virtual Disk (=logical volume).
Although DataCore SANsymphony uses block-storage, the platform is capable of attaining per VM-granularity if desired.
In Microsoft Hyper-V environments, when a VM with vdisks is created through SCVMM, DataCore can be instructed to automatically carve out a Virtual Disk (=storage volume) for every individual vdisk. This way there is a 1-to-1 alignment from end-to-end and snapshots can be created on the VM-level. The per-VM functionality is realized by installing the DataCore Storage Management Provider in SCVMM.
Because of the per-host storage limitations in VMware vSphere environments, VVols is leveraged to provide per VM-granularity. DataCore SANsymphony Provider v2.01 is VMware certified for ESXi 6.5 U2/U3, ESXi 6.7 GA/U1/U2/U3 and ESXi 7.0 GA/U1.
When configuring the virtual environment as described above, effectively VM-restores are possible.
For file-level restores a Virtual Disk snapshot needs to be mounted so the file can be read from the mount. Many simultaneous rollback points for the same Virtual Disk can coexist at the same time, allowing end-users to compare data states. Mounting and changing rollback points does not alter the original Virtual Disk.
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Entire VM
Although Scale Computing HC3 uses block-storage, the platform is capable of attaining per VM-granularity.
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WSB: Entire VM
Windows Server Backup (WSB) is capable of protecting and restoring a Hyper-V environment at the VM level.
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Restore Ease-of-use
Details
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Entire VM or Volume: GUI
Single File: Multi-step
Restoring VMs or single files from volume-based storage snapshots requires a multi-step approach.
For file-level restores a Virtual Disk snapshot needs to be mounted so the file can be read from the mount. Many simultaneous rollback points for the same Virtual Disk can coexist at the same time, allowing end-users to compare data states. Mounting and changing rollback points does not alter the original Virtual Disk.
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Entire VM: Multi-step
Single File: Multi-step
Restoring VMs or single files from HC3 storage snapshots requires a multi-step approach.
For file-level restores a VM snapshot needs to be cloned and mounted so the file can be read from the mount. Cloning and mounting does not alter the original VM snapshot.
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WSB: Entire VM (GUI)
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Disaster Recovery |
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Remote Replication Type
Details
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Built-in (native)
DataCore SANsymphonys remote replication function, Asynchronous Replication, is called upon when secondary copies will be housed beyond the reach of Synchronous Mirroring, as in distant Disaster Recovery (DR) sites. It relies on a basic IP connection between locations and works in both directions. That is, each site can act as the disaster recovery facility for the other. The software operates near-synchronously, meaning that it does not hold up the application waiting on confirmation from the remote end that the update has been stored remotely.
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Built-in (native)
All HC3 source and target clusters that will be participating in remote replication must run the same HCOS version. It is possible to replicate between a tiered and non-tiered HC3 cluster.
HC3 remote replication uses network compression by default.
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Built-in (native)
Storage Replica (SR): Windows Server 2016 introduced a new feature called 'Storage Replica'. This feature enables block-level replication of an active source volume to a passive destination volume located on another physical server. Source and destination volumes can reside within the same cluster or within separate clusters.
Because Storage Replica operates on the Operating System (OS) layer, it is storage-agnostic. This means that on one site you can have Hyper-V 2019 on SAN, whereas on the other site you can have Hyper-V 2019 on S2D.
Hyper-V Replica (HR): Hyper-V Replica is an integral part of the Hyper-V role. This feature enables block-level log-based replication of an active source VM to a passive destination VM located on another Hyper-V server or to Microsoft Azure (requires Azure Site Recovery, which is a paid external service, i.e. not part of Windows Server 2019).
Because Hyper-V Replica operates on the hypervisor layer, it is storage agnostic. This means that on one site you can have Hyper-V 2019 on SAN, whereas on the other site you can have Hyper-V 2019 on S2D.
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Remote Replication Scope
Details
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To remote sites
To MS Azure Cloud
On-premises deployments of DataCore SANsymphony can use Microsoft Azure cloud as an added replication location to safeguard highly available systems. For example, on-premises stretched clusters can replicate a third copy of the data to MS Azure to protect against data loss in the event of a major regional disaster. Critical data is continuously replicated asynchronously within the hybrid cloud configuration.
To allow quick and easy deployment a ready-to-go DataCore Cloud Replication instance can be acquired through the Azure Marketplace.
MS Azure can serve only as a data repository. This means that VMs cannot be restored and run in an Azure environment in case of a disaster recovery scenario.
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To remote sites
To Google Cloud Platform (GCP)
Network latency between the source and HC3 target clusters should be below 2,000ms (2 seconds).
Scale Computing HC3 Cloud Unity DRaaS: This disaster recovery as a service offering provides an HC3 DR target running securely in Google Cloud Platform (GCP). Workloads can be replicated to the Google cloud for failover or recovery on a per VM basis. HC3 Cloud Unity DRaaS uses L2 networking to provide seamless connectivity between on-prem and remote hosted VMs in the event of failover. HC3 Cloud Unity DRaaS includes ScaleCare support at every stage to assist in setup, testing, failover, and recovery. The service also comes with a runbook to assist with both planning and execution. When needed, all protected VMs can be failed over and running in the cloud and then failed back once the on-prem resources are restored. The Recovery Point Objective (RPO) is 4 hours for recovery of the first VM on GCP.
HC3 Cloud Unity DRaaS requires a monthly subscription that is in part based on GCP resource usage (compute, storage, network).
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SR: To remote sites, to public clouds
HR: To remote sites, to Microsoft Azure (not part of Windows Server 2019)
Storage Replica (SR): Windows Server 2016 introduced a new feature called 'Storage Replica'. This feature enables block-level replication of an active source volume to a passive destination volume located on another physical server. Source and destination volumes can reside within the same cluster or within separate clusters.
Because Storage Replica operates on the Operating System (OS) layer, it is both location-agnostic and storage-agnostic:
- Location agnostic: this means that volume replication can go to any location where a Windows Server is running, be it another datacenter or IaaS (eg. VM on Azure, AWS, Google Cloud, IBM Cloud, etc).
- Storage agnostic: this means that on one site you can have Hyper-V 2019 on SAN, whereas on the other site you can have Hyper-V 2019 on S2D.
Hyper-V Replica (HR): Hyper-V Replica is an integral part of the Hyper-V role. This feature enables block-level log-based replication of an active source VM to a passive destination VM located on another Hyper-V server or to Microsoft Azure (requires Azure Site Recovery, which is a paid external service, i.e. not part of Windows Server 2019).
Because Hyper-V Replica operates on the hypervisor layer, it is storage agnostic. This means that on one site you can have Hyper-V 2019 on SAN, whereas on the other site you can have Hyper-V 2019 on S2D.
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Remote Replication Cloud Function
Details
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Data repository
All public clouds can only serve as data repository when hosting a DataCore instance. This means that VMs cannot be restored and run in the public cloud environment in case of a disaster recovery scenario.
In the Microsoft Azure Marketplace there is a pre-installed DataCore instance (BYOL) available named DataCore Cloude Replication.
BYOL = Bring Your Own License
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DR-site (GCP)
All protected VMs can be failed over and running in the cloud and then failed back once the on-prem resources are restored.
Scale Computing HC3 Cloud Unity DRaaS leverages Google Cloud Platform (GCP) as a DR-site. All traffic between the on-premises HC3 environment and GCP utilizes an encrypted connection, authenticated via pre-shared key. Only changed blocks are transmitted. Replicated data remains solely in the zone chosen to run the HC3 Cloud instance in.
Current HC3 Cloud Unity/Google Datacenter Locations:
- United States: Iowa, South Carolina, Oregon
- Canada: Montreal
- Europe: Belgium, London, Frankfurt
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SR: Data repository (Azure)
HR: DR-site (Azure)
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Remote Replication Topologies
Details
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Single-site and multi-site
Single Site DR = 1-to-1
Multiple Site DR = 1-to many, many-to 1
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Single-site and multi-site
Single Site DR = 1-to-1
Multiple Site DR = 1-to many, many-to 1
Scale Computing HC3 supports 1-to-1 replication as well as many-to-1 replication. 1-to-1 replication includes support for cross-replication between two systems, meaning source-to-target and target-to-source. 1-to-many replication means that different VMs from one system can be replicated to different remote systems; with HC3 the same VM cannot be replicated to different remote systems. Many-to-1 means that multiple source systems can replicate VMs to the same target system. A maximum of 25 HC3 source systems can replicate to a single HC3 target system.
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SR: Single site
HR: Single-site and chained
Single Site DR = 1-to-1
Multiple Site DR = 1-to many, many-to 1
Storage Replica (SR): At this time Storage Replica only supports 1-to-1 replications. Between two sites remote replication can be setup bi-directionally, meaning that volume A in site A could be replicated to site B whereas volume B in site B could be replicated to site A at the same time.
Hyper-V Replica (HR): Besides 1-to-1 replications Hyper-V Replica allows for extended (chained) replication. A VM can be replicated from a primary host to a secondary host, and then be replicated from the secondary host to a third host. Please note that it is not possible to replicate from the primary host directly to the second and the third (1-to-many).
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Remote Replication Frequency
Details
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Continuous (near-synchronous)
SANsymphony Asynchronous Replication is not checkpoint-based but instead replicates continuously. This way data loss is kept to a minimum (seconds to minutes). End-users can inject custom consistency checkpoints based on CDP technology which has no minimum time slot/frequency.
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5 minutes
VM snapshots are created automatically by the replication process as quickly as every 5 minutes (as long as the previous snapshot’s change blocks have been fully replicated to the target HC3 cluster). The remote replication default schedule will take a snapshot every 5 minutes and keep snapshots for 25 minutes.
ScaleCare Support recommends a snapshot frequency of 15 minutes as a general best practice.
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SR: seconds (Near-sync), continous (Synchronous)
HR: 30 seconds (Asynchronous)
Storage Replica (SR): If the latency between volumes < 5ms, Storage Replica supports synchronous replication (no data loss).
Storage Replica supports asynchronous replication for longer ranges and higher latency networks. Storage Replica asynchronous replication is not checkpoint-based but instead replicates continuously. This way data loss is kept to a minimum (seconds to minutes).
Hyper-V Replica (HR): With Hyper-V Replica replication frequency can be set to 30 seconds, 5 minutes, or 15 minutes on a per-VM basis.
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Remote Replication Granularity
Details
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VM or Volume
With SANsymphony the rough hierarchy is: physical disk(s) or LUNs -> Disk Pool -> Virtual Disk (=logical volume).
Although DataCore SANsymphony uses block-storage, the platform is capable of attaining per VM-granularity if desired.
In Microsoft Hyper-V environments, when a VM with vdisks is created through SCVMM, DataCore can be instructed to automatically carve out a Virtual Disk (=storage volume) for every individual vdisk. This way there is a 1-to-1 alignment from end-to-end and snapshots can be created on the VM-level. The per-VM functionality is realized by installing the DataCore Storage Management Provider in SCVMM.
Because of the per-host storage limitations in VMware vSphere environments, VVols is leveraged to provide per VM-granularity. DataCore SANsymphony Provider v2.01 is VMware certified for ESXi 6.5 U2/U3, ESXi 6.7 GA/U1/U2/U3 and ESXi 7.0 GA/U1.
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VM
Excluding virtual disks from VM is a feature that is still in testing and must currently be done by engaging Support and discussing the options and considerations required.
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SR: Volume
HR: VM
Storage Replica (SR): Storage Replica replicates an entire source volume to a destination volume. You cannot specify a particular data set located inside a source volume when configuring a replication plan.
Hyper-V Replica (HR): Hyper-V Replica operates on the VM level.
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Consistency Groups
Details
|
Yes
SANsymphony provides the option to use Virtual Disk Grouping to enable end-users to restore multiple Virtual Disks to the exact same point-in-time.
With SANsymphony the rough hierarchy is: physical disk(s) or LUNs -> Disk Pool -> Virtual Disk (=logical volume).
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No
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No
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VMware SRM (certified)
DataCore provides a certified Storage Replication Adapter (SRA) for VMware Site Recovery Manager (SRM). DataCore SRA 2.0 (SANsymphony 10.0 FC/iSCSI) shows official support for SRM 6.5 only. It does not support SRM 8.2 or 8.1.
There is no integration with Microsoft Azure Site Recovery (ASR). However, SANsymphony can be used with the control and automation options provided by Microsoft System Center (e.g. Operations Manager combined with Virtual Machine Manager and Orchestrator) to build a DR orchestration solution.
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HC3 Cloud Unity (native)
HC3 Cloud Unity DRaaS is a complete cloud service that provides a Disaster Recovery (DR) runbook outlining DR procedures.
DR testing involves cloning a replicated VM snapshot on a remote cluster and booting the clone.
Cloud Unity DRaaS is available in the following Google Regions:
United States: Iowa, South Carolina, Oregon
Canada: Montreal
Europe: Brussels, London, Frankfurt
HyperCore 8.5.1 introduced a bulk action allowing the cloning of Replication Target VMs.
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Azure Site Recovery
Azure Site Recovery (ASR) can be leveraged for DR orchestration of physical and virtual workloads.
ASR support on-premises to on-premises scenarios as well as on-premises to public cloud scenarios.
ASR is licensed separately from Windows Server 2019 Datacenter edition.
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Stretched Cluster (SC)
Details
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VMware vSphere: Yes (certified)
DataCore SANsymphony is certified by VMware as a VMware Metro Storage Cluster (vMSC) solution. For more information, please view https://kb.vmware.com/kb/2149740.
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N/A
At this time Scale Computing does not support HC3 clusters that are stretched across data centers.
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N/A
At this time Microsoft does not support S2D clusters that are stretched across data centers.
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2+sites = two or more active sites, 0/1 or more tie-breakers
Theoretically up to 64 sites are supported.
SANsymphony does not require a quorum or tie-breaker in stretched cluster configurations, but can be used as an optional component. The Virtual Disk Witness can provide a tie-breaker role if for instance redundant inter site paths are not implemented. The tie-breaker node (server or device) must be other than the two nodes presenting a virtual disk. Access to the Virtual Disk Witness is leading for storage node behavior.
There are 3 ways to configure the stretched cluster without any tie-breakers:
1. Default: in a split-brain scenario both sides stay active allowing upper infrastructure layers (OS/database/application) to make a decision (eg. clustering principles). In any case SANsymphony prevents a merge when there is a risk to data integrity, and the end-user has to make the choice on how to proceed next (which side is true)
2. Select one side to go inaccessible
3. Select both sides to go inaccessible.
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N/A
At this time Scale Computing does not support HC3 clusters that are stretched across data centers.
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N/A
At this time Microsoft does not support S2D clusters that are stretched across data centers.
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<=5ms RTT (targeted, not required)
RTT = Round Trip Time
In truth the user/app with the least tolerated write latency defines the acceptable RTT or distance. In practice
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N/A
At this time Scale Computing does not support HC3 clusters that are stretched across data centers.
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N/A
At this time Microsoft does not support S2D clusters that are stretched across data centers.
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<=32 hosts at each active site (per cluster)
The maximum is per cluster. The SANsymphony solution can consist of multiple stretched clusters with a maximum of 64 nodes each.
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N/A
At this time Scale Computing does not support HC3 clusters that are stretched across data centers.
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N/A
At this time Microsoft does not support S2D clusters that are stretched across data centers.
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SC Data Redundancy
Details
|
Replicas: 1N-2N at each active site
DataCore SANsymphony provides enhanced stretched cluster availability by offering local fault protection with In Pool Mirroring. With In Pool Mirroring you can choose to mirror the data inside the local Disk Pool as well as mirror the data across sites to a remote Disk Pool. In the remote Disk Pool data is then also mirrored. All mirroring happens synchronously.
1N-2N: With SANsymphony Stretched Clustering, there can be either 1 instance of the data at each site (no In Pool Mirroring) or 2 instances of the data a each site (In Pool RAID-1 Mirroring).
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N/A
At this time Scale Computing does not support HC3 clusters that are stretched across data centers.
|
N/A
At this time Microsoft does not support S2D clusters that are stretched across data centers.
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Data Services
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Efficiency |
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Dedup/Compr. Engine
Details
|
Software (integration)
NEW
SANsymphony provides integrated and individually selectable inline deduplication and compression. In addition, SANsymphony is able to leverage post-processing deduplication and compression options available in Windows 2016/2019 as an alternative approach.
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Software
Scale Computing HC3 is able to leverage native background data deduplication to reduce the physical space occupied by virtual disks.
The storage details available in the HC3 Web interface provide information on efficiency gains resulting from deduplication.
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Software
NEW
Windows Server 2019 introduces support for data deduplication on Resilient File System (ReFS) volumes.
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Dedup/Compr. Function
Details
|
Efficiency (space savings)
Deduplication and compression can provide two main advantages:
1. Efficiency (space savings)
2. Performance (speed)
Most of the time deduplication/compression is primarily focussed on efficiency.
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Efficiency (space savings)
Deduplication and compression can provide two main advantages:
1. Efficiency (space savings)
2. Performance (speed)
Most of the time deduplication/compression is primarily focussed on efficiency.
|
Efficiency (space savings)
NEW
Deduplication and compression can provide two main advantages:
1. Efficiency (space savings)
2. Performance (speed)
Most storage solutions place emphasis on efficiency.
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Dedup/Compr. Process
Details
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Deduplication: Inline (post-ack)
Compression: Inline (post-ack)
Deduplication/Compression: Post-Processing (post process)
NEW
Deduplication can be performed in 4 ways:
1. Immediately when the write is processed (inline) and before the write is ackowledged back to the originator of the write (pre-ack).
2. Immediately when the write is processed (inline) and in parallel to the write being acknowledged back to the originator of the write (on-ack).
3. A short time after the write is processed (inline) so after the write is acknowleged back to the originator of the write - eg. when flushing the write buffer to persistent storage (post-ack)
4. After the write has been committed to the persistent storage layer (post-process).
The first and second methods, when properly integrated into the solution, are most likely to offer both performance and capacity benefits. The third and fourth methods are primarily used for capacity benefits only.
DataCore SANSymphony 10 PSP12 and above leverage both inline deduplication and compression, as well as post process deduplication and compression techniques.
With inline deduplication incoming writes first hit the memory cache of the primary host and are replicated to the cache of a secondary host in an un-deduplicated state. After the blocks have been written to both memory caches, the primary host acknowledges the writes back to the originator. Each host then destages the written blocks to the persistent storage layer. During destaging, written blocks are deduplicates and/or compressed.
Windows Server 2019 deduplication is performed outside of IO path (post-processing) and is multi-threaded to speed up processing and keep performance impact minimal.
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Post-Processing
Deduplication can be performed in 4 ways:
1. Immediately when the write is processed (inline) and before the write is ackowledged back to the originator of the write (pre-ack).
2. Immediately when the write is processed (inline) and in parallel to the write being acknowledged back to the originator of the write (on-ack).
3. A short time after the write is processed (inline) so after the write is acknowleged back to the originator of the write - eg. when flushing the write buffer to persistent storage (post-ack)
4. After the write has been committed to the persistent storage layer (post-process).
The first and second methods, when properly integrated into the solution, are most likely to offer both performance and capacity benefits. The third and fourth methods are primarily used for capacity benefits only.
The Scale Computing HC3 data deduplication feature is considered a post-process implementation that works with existing background processes to identify duplicate 1 MiB blocks of data on a given physical disk. The process leverages the SCRIBE metadata reference count mechanism by finding independently written blocks that are the same. This duplicate review is for each physical disk on a given node to ensure as little a footprint as possible while providing all of the benefits of full deduplication.
The deduplication process is broken into two steps. The first step reviews VM data blocks by creating a hash index of each block and storing the hash in the nodes RAM. The hashing algorithm will be able to scan the system data for deduplication candidates at roughly 1 MiB/s of data on HDDs and 4 MiB/s of data on SSDs, both of these estimates per node. The second process occurs during low system utilization. The system will work through the queue of hashed blocks in RAM. It will search for matching hashes until the background disk scan regenerates them. When the process finds two blocks with a matching hash it will verify the underlying blocks are in fact duplicates before incrementing the reference count in metadata on the block it is planning to free. Updating the metadata count for the block essentially releases the space of the duplicate block. The block then returns to the system’s free storage pool. This secondary process can progress much faster than 1 MiB/s; the speed is dependent on the current system load.
The SCRIBE metadata reference count mechanism is the same architecture utilized by snapshots and clones in SCRIBE to allow quick, efficient, low-impact thin-provisioning on the HC3 system. Shared blocks are referenced and a count to the block stored in the metadata.
SCRIBE = Scale Computing Reliable Independent Block Engine
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Post-Process
NEW
Deduplication can be performed in 4 ways:
1. Immediately when the write is processed (inline) and before the write is ackowledged back to the originator of the write (pre-ack).
2. Immediately when the write is processed (inline) and in parallel to the write being acknowledged back to the originator of the write (on-ack).
3. A short time after the write is processed (inline) so after the write is acknowleged back to the originator of the write - eg. when flushing the write buffer to persistent storage (post-ack)
4. After the write has been committed to the persistent storage layer (post-process).
The first and second methods, when properly integrated into the solution, are most likely to offer both performance and capacity benefits. The third and fourth methods are primarily used for capacity benefits only.
Windows Server 2019 deduplication is performed outside of IO path (post-processing) and is multi-threaded to speed up processing and keep performance impact minimal.
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Dedup/Compr. Type
Details
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Optional
NEW
By default, deduplication and compression are turned off. For both inline and post-process, deduplication and compression can be enabled.
For inline deduplication and compression the feature can be turned on per node. The entire node represents a global deduplication domain. Deduplication and compression work across pools and across vDisks. Individual pools can be selected to participate in capacity optimization. Either deduplication or compression or both can be selected per individual vDisk. Pools can host both capacity optimized and non-capacity optimized vDisks at the same time. The optional capacity optimization settings can be added/changed/removed during operation for each vDisk.
For post-processing the feature can be enabled per pool. All vDisks in that pool would be deduplicated and compressed. Each pool is an independent deduplication domain. This means only data in the pool is capacity optimized, but not across pools. Additionally, for post-processing capacity optimization can be scheduled so admins can decide when deduplication should run.
With SANsymphony the rough hierarchy is: physical disk(s) or LUNs -> Disk Pool -> Virtual Disk (=logical volume).
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Always-on
By default Scale Computing HC3 data deduplication is turned on. The platform has been designed to prioritize running workloads over the deduplication tasks to prevent any negative performance impact. As such, the process piggybacks on pre-existing background structures - such as the background disk scrubber - for the hashing process.
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Optional
NEW
By default deduplication and compression are turned off. Deduplication and compression can be enabled for selected volumes.
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Dedup/Compr. Scope
Details
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Persistent data layer
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Persistent data layer
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Persistent data layer
NEW
Windows Server 2019 Deduplication only happens in the persistent data layer and not in the cache. The cache is not accessible from the file system and so deduplication cannot be applied to it.
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Dedup/Compr. Radius
Details
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Pool (post-processing deduplication domain)
Node (inline deduplication domain)
NEW
With SANsymphony the rough hierarchy is: physical disk(s) or LUNs -> Disk Pool -> Virtual Disk (=logical volume).
For inline deduplication and compression raw physical disks are added to a capacity optimization pool. The entire node represents a global deduplication domain. Deduplication and compression work across pools and across vDisks. Individual pools can be selected to participate in capacity optimization.
The post-processing capability provided through Windows Server 2016/2019 is highly scalable and can be used with volumes up to 64 TB and files up to 1 TB in size. Data deduplication identifies repeated patterns across files on that volume.
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Per Node
Scale Computing HC3 data deduplication works on a per node basis. All blocks that are directly written or replicated from another node are deduplicated by the indiviual node independent from other nodes within the same cluster. This way data integrity is ensured for every single node.
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Volume
NEW
Windows Server 2019 deduplication is highly scalable and can be used with volumes up to 64TB and files up to 4TB in size. Data deduplication identifies repeated patterns across files on that volume.
In Windows Server 2019 Datacenter there is a maximum of 64 volumes per S2D cluster.
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Dedup/Compr. Granularity
Details
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4-128 KB variable block size (inline)
32-128 KB variable block size (post-processing)
NEW
With inline deduplication and compression, the data is organized in 128 KB segments. Depending on the optimization setting, a write into such a segment first gets compressed (when compression is selected) and then a hash is generated. If the hash is unique, the 128 KB segment is written back and the hash is added to the deduplication hash-table. If the hash is not unique, the segment is referenced in the deduplication hash table and discarded. The smallest chunk in the segment can be 4 KB.
For post-processing the system leverages deduplication in Windows Server 2016/2019, files within a deduplication-enabled volume are segmented into small variable-sized chunks (32–128 KB), duplicate chunks are identified, and only a single copy of each chunk is physically stored.
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1 MiB
Scale Computing HC3 post-process data deduplication uses 1 MiB fixed block segments.
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32-128 KB variable block size
NEW
By leveraging deduplication in Windows Server 2019, files within a deduplication-enabled volume are segmented into small variable-sized chunks (32–128 KB), duplicate chunks are identified, and only a single copy of each chunk is physically stored.
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Dedup/Compr. Guarantee
Details
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N/A
Microsoft provides the Deduplication Evaluation Tool (DDPEVAL) to assess the data in a particular volume and predict the dedup ratio.
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N/A
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N/A
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Full (optional)
Data rebalancing needs to be initiated manually by the end-user. It depends on the specific use case and end-user environment if this makes sense. When end-users want to isolate new workloads and corresponding data on new nodes, data rebalancing is not used.
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Full (optional)
Data rebalancing needs to be initiated manually by the end-user. It depends on the specific use case and end-user environment if this makes sense.
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Full
Storage Spaces Direct (S2D) automatically rebalances data across nodes when a node is either added or removed. There is no user-intervention required for these redistribution activities.
Also you can execute a rebalance operation manually with the PowerShell 'Optimize-StoragePool' cmdlet.
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Yes
DataCore SANsymphonys Auto-Tiering is a real-time intelligent mechanism that continuously positions data on the appropriate class of storage based on how frequently the data is accessed. Auto-Tiering leverages any combination of Flash and traditional disk technologies, whether it is internal or array based, with up to 15 different storage tiers that can be defined.
As more advanced storage technologies become available, existing tiers can be modified as necessary and additional tiers can be added to further diversify the tiering architecture.
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Yes
Scale Computing HC3s HyperCore Enhanced Automated Tiering (HEAT) is an extension of the SCRIBE storage layer that is available to HC3 hybrid clusters with 3 nodes or more.
HEAT allows virtual disk level, priority data placement for allocated data (actual consumed capacity on a VM virtual disk). This is accomplished through a real-time heat map of virtual disk I/O in order to “tier” the data. Data blocks that are “hot” (=accessed regularly by the virtual disk) are stored at the SSD level while “colder” data blocks are stored at the HDD level.
There are 4 basic HEAT principles:
1. All VMs have access to SSDs, no matter what node the VM may actually be running on.
2. SSDs are additional capacity for VM disks (subvirtual tiering), not a cache for system data.
3. Administrators have granular control of SSD access at the VM virtual disk level.
4. Administrators are able to mix and match Tiered HC3 nodes with standard HC3 nodes and Storage Only nodes without any extra work or requirements.
The HC3 web interface provides an easy-to-use slide bar on the property page of an individual virtual disk in order to set the flash priority level of a VM’s virtual disk data:
0 Off
1 Minimum
2 Very Low
3 Low
4 Normal (default)
5 High
6 Very High
7 Extreme
8 Absurd
9 Hyperspeed
10 Ludicrous Speed
11 These go to 11
When the flash priority level is set to 0, no data on the virtual disk ever gets promoted to the SSD layer. When the flash priority level is set to 11, all data on the virtual disk is promoted to the SSD layer.
Altering HEAT priority will effect all VM virtual disks within the HC3 cluster. Each increase in flash priority access will dedicate roughly twice as much flash capacity for the VM virtual disk, and consequently reduce the flash capacity available for other VM virtual disks on the system.
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Yes
Microsoft S2D is able to leverage data tiering in a configuration where 3 distinct storage types are being used (NVMe + SSD + HDD). In this configuration the fastest storage devices, NVMe, become part of the caching tier, whilst SSD devices and HDD devices automatically become part of the persistent storage tier. Within the persistent storage tier, the SSD devices are part of the performance sub-tier and the HDD devices are part of the capacity sub-tier. The performance sub-tier is optimized for I/O (hot data) while the capacity sub-tier is optimized for Storage Efficiency (cold data).
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Performance |
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vSphere: VMware VAAI-Block (full)
Hyper-V: Microsoft ODX; Space Reclamation (T10 SCSI UNMAP)
DataCore SANsymphony iSCSI and FC are fully qualified for all VMware vSphere VAAI-Block capabilities that include: Thin Provisioning, HW Assisted Locking, Full Copy, Block Zero
Note: DataCore SANsymphony does not support Thick LUNs.
DataCore SANsymphony is also fully qualified for Microsoft Hyper-V 2012 R2 and 2016/2019 ODX and UNMAP/TRIM.
Note: ODX is not used for files smaller than 256KB.
VAAI = VMware vSphere APIs for Array Integration
ODX = Offloaded Data Transfers
UNMAP/TRIM support allows the Windows operating system to communicate the inactive block IDs to the storage system. The storage system can wipe these unused blocks internally.
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KVM: IOVirt
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RDMA
ReFSv2
Two mechanisms enable offloading storage processes from the server CPU:
- RDMA (network protocol);
- ReFSv2 (accelerated VHDX operations).
RDMA (Read Direct Memory Access) is strongly recommended when implementing S2D solution. It enables reading the hosts memory thus bypassing the OS. The result is a reduction of CPU usage, a decrease of network latency and an increase in throughput.
ReFSv2 in Windows Server 2019 allows for accelerated VHDX operations. ReFSv2 works with metadata to maintain integrity. ReFSv2 also works with metadata when creating or extending virtual disks. Due to accelerated VHDX operations, ReFSv2 writes metadata instead of writing zeros as new blocks on disk. This results in an accelerated creation of a fixed VHDX and accelerated merging of checkpoints during data protection maintenance.
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IOPs and/or MBps Limits
QoS is a means to ensure specific performance levels for applications and workloads. There are two ways to accomplish this:
1. Ability to set limitations to avoid unwanted behavior from non-critical clients/hosts.
2. Ability to set guarantees to ensure service levels for mission-critical clients/hosts.
SANsymphony currently supports only the first method. Although SANsymphony does not provide support for the second method, the platform does offer some options for optimizing performance for selected workloads.
For streaming applications which burst data, it’s best to regulate the data transfer rate (MBps) to minimize their impact. For transaction-oriented applications (OLTP), limiting the IOPs makes most sense. Both parameters may be used simultaneously.
DataCore SANsymphony ensures that high-priority workloads competing for access to storage can meet their service level agreements (SLAs) with predictable I/O performance. QoS Controls regulate the resources consumed by workloads of lower priority. Without QoS Controls, I/O traffic generated by less important applications could monopolize I/O ports and bandwidth, adversely affecting the response and throughput experienced by more critical applications. To minimize contention in multi-tenant environments, the data transfer rate (MBps) and IOPs for less important applications are capped to limits set by the system administrator. QoS Controls enable IT organizations to efficiently manage their shared storage infrastructure using a private cloud model.
More information can be found here: https://docs.datacore.com/SSV-WebHelp/quality_of_service.htm
In order to achieve consistent performance for a workload, a separate Pool can be created where selected vDisks are placed. Alternatively 'Performance Classes' can be assigned to differentiate between data placement of multiple workloads.
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N/A
Quality-of-Service (QoS) is a means to ensure specific performance levels for applications and workloads. There are two ways to accomplish this:
1. Ability to set limitations to avoid unwanted behavior from non-critical VMs.
2. Ability to set guarantees to ensure service levels for mission-critical VMs.
Scale Computing HC3 currently does not offer any QoS mechanisms.
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IOPs/MBps Limits (maximums)
IOPs Guarantees (minimums)
QoS is a means to ensure specific performance levels for applications and workloads. There are two ways to accomplish this:
1. Ability to set limitations to avoid unwanted behavior from non-critical VMs.
2. Ability to set guarantees to ensure service levels for mission-critical VMs.
Windows 2019 Failover Clustering includes Storage QoS for use in scenarios where S2D is used in conjunction with Hyper-V. Storage QoS supports both methods (maximums as well as minimums) and mostly focusses on IOPs. A Storage QoS policy can be tied to an individual virtual disk.
Two kind of QoS policies can be used:
1. Aggregated policies apply maximums and minimum for the combined set of VHD/VHDX files and virtual machines where they apply.
2. Dedicated policies apply the minimum and maximum values for each VHD/VHDx, separately.
A single policy can be tied to one or more virtual disks.
Storage QoS can only be used when all servers (storage clients and storage servers) are running Windows Server 2019.
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Virtual Disk Groups and/or Host Groups
SANsymphony QoS parameters can be set for individual hosts or groups of hosts as well as for groups of Virtual Disks for fine grained control.
In a VMware VVols (=Virtual Volumes) environment a vDisk corresponds 1-to-1 to a virtual disk (.vmdk). Thus virtual disks can be placed in a Disk Group and a QoS Limit can then be assigned it. DataCore SANsymphony Provider v2.01 has VVols certification for VMware ESXi 6.5 U2/U3, ESXi 6.7 GA/U1/U2/U3 and ESXi 7.0 GA/U1.
In Microsoft Hyper-V environments, when a VM with vdisks is created through SCVMM, DataCore can be instructed to automatically carve out a Virtual Disk (=storage volume) for every individual vdisk. This way there is a 1-to-1 alignment from end-to-end and QoS Limits can be applied on the virtual disk level. The 1-to-1 allignment is realized by installing the DataCore Storage Management Provider in SCVMM.
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N/A
Quality-of-Service (QoS) is a means to ensure specific performance levels for applications and workloads. There are two ways to accomplish this:
1. Ability to set limitations to avoid unwanted behavior from non-critical VMs.
2. Ability to set guarantees to ensure service levels for mission-critical VMs.
Scale Computing HC3 currently does not offer any QoS mechanisms.
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Per Virtual Disk
Quality of service (QoS) for S2D is normalized to an 8KB block size, and treats reads the same as writes. Normalization is configurable and can be set between 8KB and 4GB.
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Per VM/Virtual Disk/Volume
With SANsymphony the rough hierarchy is: physical disk(s) or LUNs -> Disk Pool -> Virtual Disk (=logical volume).
In SANsymphony 'Flash Pinning' can be achieved using one of the following methods:
Method #1: Create a flash-only pool and migrate the individual vDisks that require flash pinning to the flash-only pool. When using a VVOL configuration in a VMware environment, each vDisk represents a virtual disk (.vmdk). This method guarantees all application data will be stored in flash.
Method #2: Create auto-tiering pools with at least 1 flash tier. Assign the Performance Class “Critical” to the vDisks that require flash pinning and place them in the auto-tiering pool. This will effectively and intelligently put as much of the data that resides in the vDisk in the flash tier as long that the flash tier has enough space available. Therefore this method is on a best-effort basis and dependent on correct sizing of the flash tier(s).
Methods #1 and #2 can be uses side-by-side in the same DataCore environment.
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Per virtual disk
Scale Computing HC3s native HEAT feature allows for data of an individual virtual disk to reside completely in flash storage. This can be administered on-the-fly by setting the Flash priority in the virtual disks properties to 11. The new HEAT priority setting will be immediately activated on the VMs virtual disk.
For more information on HEAT please view the information provided with the 'Data Tiering' capability.
HEAT = HyperCore Enhanced Automated Tiering
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Not relevant (Cache architecture)
When deploying an S2D solution, a ratio can be configured between the number of cache devices and the number of capacity devices (1:2, 1:3, 1:4, 1:5, etc). This enables bonding a specific number of capacity devices to a cache device to ensure performance for the working set (=the data that is actively being used).
When designing a S2D cluster it must be ensured that the capacity of cache is at least 10% of raw data storage. This ensures that there is enough cache capacity to avoid read misses.
Because the cache data are replicated across nodes, even if a cache fails, the cache is not lost. Microsoft leverages RDMA to improve throughput between nodes. In case a cache device does fail, the related capacity devices are bound to another cache device in the same host. This is why Microsoft recommends at least two cache devices per node.
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Security |
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Data Encryption Type
Details
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Built-in (native)
SANsymphony 10.0 PSP9 introduced native encryption when running on Windows Server 2016/2019.
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N/A
Although the design of the SCRIBE storage management layer provides some general protection for data stored on a
single hard drive, it is not the same as data encryption. If data encryption is required it is recommended to use in-guest encryption tools to ensure data protection.
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Built-in (native)
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Data Encryption Options
Details
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Hardware: Self-encrypting drives (SEDs)
Software: SANsymphony Encryption
Hardware: In SANsymphony deployments the encryption data service capabilities can be offloaded to hardware-based SED offerings available in server- and storage solutions.
Software: SANsymphony provides software-based data-at-rest encryption that is XTS-AES 256bit compliant.
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Hardware: N/A
Software: HyTrust KeyControl + Client (validated); WinMagic SecureDoc CloudVM (validated)
Hardware: N/A
Software: Scale Computing partners with HyTrust to encrypt the drives of Windows and Linux VMs running on a HC3 system. The HyTrust client software that is installed on all VMs that require encryption, can encrypt both boot drives and data drives. Scale Computing has also validated the interoperability of WinMagic SecureDoc CloudVM for encryption of drives of Windows VMs with its HC3 platform.
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Hardware: N/A
Software: Microsoft BitLocker Drive Encryption; SMB encryption
Hardware: N/A
Software: Microsoft Bitlocker provides software encryption on standalone and cluster based NTFS or ReFS(v2) volumes. Cluster volumes (CSV) encryption support was added in Windows 2012 Server.
Microsoft BitLocker uses the Advanced Encryption Standard (AES) encryption algorithm with either 128-bit or 256-bit keys. It is generally recommended to use 256-bit keys because of their superior strength.
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Data Encryption Scope
Details
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Hardware: Data-at-rest
Software: Data-at-rest
Hardware: SEDs provide encryption for data-at-rest; SEDs do not provide encryption for data-in-transit.
Software: SANsymphony provides encryption for data-at-rest; it does not provide encryption for data-in-transit. Encryption can be enabled per individual virtual disk.
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Hardware: N/A
Software: Data-at-rest
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Hardware: N/A
Software: Data-at-rest (BitLocker); Data-in-transit (SMB Encryption)
Hardware: N/A
Software: Microsoft BitLocker provides encryption for data-at-rest as well as data-in-transit during live migration of a VM; Microsof SMB encyrption provides encryption for data-in-transit.
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Data Encryption Compliance
Details
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Hardware: FIPS 140-2 Level 2 (SEDs)
Software: FIPS 140-2 Level 1 (SANsymphony)
FIPS = Federal Information Processing Standard
FIPS 140-2 defines four levels of security:
Level 1 > Basic security requirements are specified for a cryptographic module (eg. at least one Approved algorithm or Approved security function shall be used).
Level 2 > Also has features that show evidence of tampering.
Level 3 > Also prevents the intruder from gaining access to critical security parameters (CSPs) held within the cryptographic module.
Level 4 > Provides a complete envelope of protection around the cryptographic module with the intent of detecting and responding to all unauthorized attempts at physical access.
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Hardware: N/A
Software: FIPS 140-2 Level 1 (HyTrust; WinMagic)
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Hardware: N/A
Software: FIPS 140-2 Level 1 (Bitlocker)
Microsoft BitLocker has been validated for Federal Information Processing Standard (FIPS) 140-2 in March 2018.
FIPS 140-2 defines four levels of security:
Level 1 > Basic security requirements are specified for a cryptographic module (eg. at least one Approved algorithm or Approved security function shall be used).
Level 2 > Also has features that show evidence of tampering.
Level 3 > Also prevents the intruder from gaining access to critical security parameters (CSPs) held within the cryptographic module.
Level 4 > Provides a complete envelope of protection around the cryptographic module with the intent of detecting and responding to all unauthorized attempts at physical access.
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Data Encryption Efficiency Impact
Details
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Hardware: No
Software: No
Hardware: Because data encryption is performed at the end of the write path, storage efficiency mechanisms are not impaired.
Software: Because data encryption is performed at the end of the write path, storage efficiency mechanisms are not impaired.
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Hardware: N/A
Software: Yes (HyTrust; WinMagic)
FIPS = Federal Information Processing Standard
FIPS 140-2 defines four levels of security:
Level 1 > Basic security requirements are specified for a cryptographic module (eg. at least one Approved algorithm or Approved security function shall be used).
Level 2 > Also has features that show evidence of tampering.
Level 3 > Also prevents the intruder from gaining access to critical security parameters (CSPs) held within the cryptographic module.
Level 4 > Provides a complete envelope of protection around the cryptographic module with the intent of detecting and responding to all unauthorized attempts at physical access.
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Hardware: N/A
Software: No
Hardware: N/A
Software: Microsoft BitLocker can be used to provide whole-disk encryption on a deduplicated disk since BitLocker sits beneath the deduplication software ie. at the end of the write path.
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Test/Dev |
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Yes
Support for fast VM cloning via VMware VAAI and Microsoft ODX.
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Yes
Scale Computing HC3 leverages block reference counting to avoid having to copy blocks of data when creating a clone of a virtual machine. Because block reference counting is integrated in both the storage protocol as well as the RSDs, it is very fast and eliminates a round-trip when performing copy-on-write actions.
The clone feature on a HC3 cluster will create an identical VM to the parent, but with its own unique name and description. The clone VM will be completely independent from the parent VM once it is created.
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No
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Portability |
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Hypervisor Migration
Details
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Hyper-V to ESXi (external)
ESXi to Hyper-V (external)
VMware Converter 6.2 supports the following Guest Operating Systems for VM conversion from Hyper-V to vSphere:
- Windows 7, 8, 8.1, 10
- Windows 2008/R2, 2012/R2 and 2016
- RHEL 4.x, 5.x, 6.x, 7.x
- SUSE 10.x, 11.x
- Ubuntu 12.04 LTS, 14.04 LTS, 16.04 LTS
- CentOS 6.x, 7.0
The VMs have to be in a powered-off state in order to be migrated across hypervisor platforms.
Microsoft Virtual Machine Converter (MVMC) supports conversion of VMware VMs and vdisks to Hyper-V VMs and vdisks. It is also possible to convert physical machines and disks to Hyper-V VMs and vdisks.
MVMC has been offcially retired and can only be used for converting VMs up to version 6.0.
Microsoft System Center Virtual Machine Manager (SCVMM) 2016 also supports conversion of VMs up to version 6.0 only.
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HC3 Move
HC3 Move is powered by Carbonite (formerly Double-Take) and allows the migration of physical or virtual Windows and Linux-based server workloads with real-time replication and zero-downtime.
HC3 Move requires the purchase of a one-time-use license per server that needs to be migrated to the Scale Computing HC3 platform.
HC3 Move does not support desktop operating systems.
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ESXi to Hyper-V/Azure (external)
Microsoft provides tools to convert VMs from one hypervisor (mostly VMware vSphere) to another. Microsoft recommends Azure Site Recovery when performing a large-scale conversions.
Microsoft Virtual Machine Converter (MVMC) is a stand-alone tool that can be used to:
- convert virtual machines and disks from VMware hosts to Hyper-V hosts and Microsoft Azure;
- convert physical machines and disks to Hyper-V hosts.
MVMC has been offcially retired and can only be used for converting VMs up to version 6.0.
Microsoft System Center Virtual Machine Manager (SCVMM) 2016 also supports conversion of VMs up to version 6.0 only.
Azure Site Recovery is a DR orchestration solution for Hyper-V or VMware (as well as physical servers). When a physical server or a VMware vSphere VM is replicated to Azure, the disks are also converted in VHD format. Next you can download the VHD to run the VM in your on premises datacenter.
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File Services |
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Built-in (native)
SANsymphony delivers out-of-box (OOB) file services by leveraging Windows native SMB/NFS and Scale-out File Services capabilities. SANsymphony is capable of simultaneously handling highly-available block and file level services.
Raw storage is provisioned from within the SANsymphony GUI to the Microsoft file services layer, similar to provisioning Storage Spaces Volumes to the file services layer. This means any file services configuration is performed from within the respective Windows service consoles e.g. quotas.
More information can be found under: https://www.datacore.com/products/features/high-availability-nas-cluster-file-sharing.aspx
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N/A
Scale Computing HC3 does not provide any file serving capabilities of its own.
Inside a Guest VM all native file service features of the Microsoft Windows and/or Linux operating system can be leveraged to host network shares.
Linux requires Samba Server components to provide SMB file shares.
Depending on the OS of the Guest VM providing file services, quotas can been set on the share or the filesystem level.
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Built-in (native;limited)
Although Storage Spaces Direct (S2D) supports Scale-out File Server, it is primarily meant to be used in Hyper-V and MS SQL use cases. In cases where standard file services (eg. home folders or shared departmental folders) are needed, Microsoft recommends to virtualize a Windows file server in Hyper-V.
Storing generic data on Scale-Out File Server is possible but not recommended by Microsoft. It is not recommended because Scale-out file Server does not provide some of the common file services features such as quotas and DFS.
For these use cases Microsoft recommends to rely on Windows guest VMs (SMB) and/or Linux guest VMs (NFS) to provide file services on top of S2D. These file services can be made highly available by using clustering techniques.
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Fileserver Compatibility
Details
|
Windows clients
Linux clients
Because SANsymphony leverages Windows Server native CIFS/NFS and Scale-out File services, most Windows and Linux clients are able to connect.
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N/A
Scale Computing HC3 does not provide any file serving capabilities of its own.
Inside a Guest VM all native file service features of the Microsoft Windows and/or Linux operating system can be leveraged to host network shares.
Linux requires Samba Server components to provide SMB file shares.
Depending on the OS of the Guest VM providing file services, quotas can been set on the share or the filesystem level.
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Windows clients
Although Storage Spaces Direct (S2D) supports Scale-out File Server, it is primarily meant to be used in Hyper-V and MS SQL use cases. In cases where standard file services (eg. home folders or shared departmental folders) are needed, Microsoft recommends to virtualize a Windows file server in Hyper-V.
Storing generic data on Scale-Out File Server is possible but not recommended by Microsoft. It is not recommended because Scale-out file Server does not provide some of the common file services features such as quotas and DFS.
For these use cases Microsoft recommends to rely on Windows guest VMs (SMB) and/or Linux guest VMs (NFS) to provide file services on top of S2D. These file services can be made highly available by using clustering techniques.
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Fileserver Interconnect
Details
|
SMB
NFS
Because SANsymphony leverages Windows Server native CIFS/NFS and Scale-out File services, Windows Server platform compatibility applies:
SMB versions1,2 and 3 are supported, as are NFS versions 2, 3 and 4.1.
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N/A
Scale Computing HC3 does not provide any file serving capabilities of its own.
Inside a Guest VM all native file service features of the Microsoft Windows and/or Linux operating system can be leveraged to host network shares.
Linux requires Samba Server components to provide SMB file shares.
Depending on the OS of the Guest VM providing file services, quotas can been set on the share or the filesystem level.
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SMB
NFS is not supported for file services deployed on S2D.
Although Storage Spaces Direct (S2D) supports Scale-out File Server, it is primarily meant to be used in Hyper-V and MS SQL use cases. In cases where standard file services (eg. home folders or shared departmental folders) are needed, Microsoft recommends to virtualize a Windows file server in Hyper-V.
Storing generic data on Scale-Out File Server is possible but not recommended by Microsoft. It is not recommended because Scale-out file Server does not provide some of the common file services features such as quotas and DFS.
For these use cases Microsoft recommends to rely on Windows guest VMs (SMB) and/or Linux guest VMs (NFS) to provide file services on top of S2D. These file services can be made highly available by using clustering techniques.
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Fileserver Quotas
Details
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Share Quotas, User Quotas
Because SANsymphony leverages Windows Server native CIFS/NFS and Scale-out File services, all Quota features available in Windows Server can be used.
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N/A
Scale Computing HC3 does not provide any file serving capabilities of its own.
Inside a Guest VM all native file service features of the Microsoft Windows and/or Linux operating system can be leveraged to host network shares.
Linux requires Samba Server components to provide SMB file shares.
Depending on the OS of the Guest VM providing file services, quotas can been set on the share or the filesystem level.
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N/A
Microsoft S2D Scale-out File Server does not provide any quota capabilities.
Inside a Guest VM all native file service features of the Microsoft Windows and/or Linux operating system can be leveraged to host network shares.
Linux requires Samba Server components to provide SMB file shares.
Depending on the OS of the Guest VM providing file services, quotas can been set on the share or the filesystem level.
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Fileserver Analytics
Details
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Partial
Because SANsymphony leverages Windows Server native CIFS/NFS, Windows Server built-in auditing capabilities can be used.
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N/A
Scale Computing HC3 does not provide any file serving capabilities of its own.
Inside a Guest VM all native file service features of the Microsoft Windows and/or Linux operating system can be leveraged to host network shares.
Linux requires Samba Server components to provide SMB file shares.
Depending on the OS of the Guest VM providing file services, quotas can been set on the share or the filesystem level.
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N/A
Microsoft S2D Scale-out File Server currently does not have advanced file analytics capabilities.
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Object Services |
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Object Storage Type
Details
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N/A
DataCore SANsymphony does not provide any object storage serving capabilities of its own.
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N/A
Scale Computing HC3 does not provide any object storage serving capabilities of its own.
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N/A
Microsoft S2D does not provide any object storage serving capabilities of its own.
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Object Storage Protection
Details
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N/A
DataCore SANsymphony does not provide any object storage serving capabilities of its own.
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N/A
Scale Computing HC3 does not provide any object storage serving capabilities of its own.
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N/A
Microsoft S2D does not provide any object storage serving capabilities of its own.
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Object Storage LT Retention
Details
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N/A
DataCore SANsymphony does not provide any object storage serving capabilities of its own.
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N/A
Scale Computing HC3 does not provide any object storage serving capabilities of its own.
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N/A
Microsoft S2D does not provide any object storage serving capabilities of its own.
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Management
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Interfaces |
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GUI Functionality
Details
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Centralized
SANsymphonys graphical user interface (GUI) is highly configurable to accommodate individual preferences and includes guided wizards and workflows to simplify administration. All actions available from the GUI may also be scripted with PowerShell Commandlets to orchestrate workflows with other tools and applications.
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Centralized
Scale Computing HC3 management, capacity monitoring, performance monitoring and efficiency reporting is performed through the HC3 HTML5 web-based user interface.
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Centralized
The Failover Clustering Manager has been enhanced in Windows Server 2016 to incorporate Storage Spaces Direct (S2D). However, not all features are accessible by GUI. For some actions you rely quite heavily on PowerShell.
System Center Virtual Machine Manager (SCVMM) also provides a GUI to manage the storage besides the VM. SCVMM enables managing Storage QoS, the automation of deployment , VM placement and Storage Spaces Direct (S2D) deployment.
Windows Admin Center provides centralized management for S2D clusters including provisioning as well as real-time monitoring and alerting.
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Single-site and Multi-site
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Single-site and Multi-site
Up to 25 clusters can be manage centrally using the Scale Computing HC3 web-based user interface.
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Single-site and Multi-site
From a single Failover Clustering console, you can connect to several clusters by typing the name of each cluster in the connection window.
From SCVMM you can connect to several Failover Clusters. You can manage every cluster resource (compute, network, storage) from a single-pane-of-glass.
Windows Admin Center provides centralized management for S2D clusters including provisioning as well as real-time monitoring and alerting.
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GUI Perf. Monitoring
Details
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Advanced
SANsymphony has visibility into the performance of all connected devices including front-end channels, back-end channels, cache, physical disks, and virtual disks. Metrics include Read/write IOPs, Read/write MBps and Read/Write Latency at all levels. These metrics can be exported to the Windows Performance Monitoring (Perfmon) utility where other server parameters are being tracked.
The frequency at which performance metrics can be captured and reported on is configurable, real-time down to 1 second intervals and long term recording at 2 minutes granularity.
When a trend analysis is required, an end-user can simply enable a recording session to capture metrics over a longer period of time.
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Basic
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Advanced
NEW
Both the Failover Clustering GUI as well as the SCVMM GUI show capacity, usage, volume state (degraded, recovering or OK), and which physical disks are used for what volume.
The GUI is limited in displaying performance related information and you need to use PowerShell for detailed information (eg. on IOPS).
Windows Admin Center provides centralized management for S2D clusters including provisioning as well as real-time monitoring and alerting.
Admin Center shows current performance statistics and introduces historical data capture for S2D clusters in Windows Server 2019. Performance history is collected automatically and stored on the cluster for up to one year.
Cluster storage performance metrics that can be viewed are: IOPS, Throughput (MBps) and Latency (ms). The metrics do not differentiate between Reads and Writes.
Volume storage performance metrics that can be viewed are: Read/Write IOPS IOPS, Read/Write Throughput (MBps) and Read/Write Latency (ms).
Physical Drive storage performance metrics that can be viewed are: Read/Write IOPS, Read/Write Throughput (MBps) and Average Latency (ms).
Virtual Drive storage performance metrics that can be viewed are: Read/Write IOPS, Read/Write Throughput (MBps) and Read/Write Latency (ms).
Virtual Machine storage performance metrics that can be viewed are: IOPS and Throughput (MBps). There is no differentation for Reads/Writes (yet).
Server (Physical Host) storage performance metrics are not available as of yet.
Read Cache storage performance metrics that can be viewed are: Read hits, Read misses, Hit rate.
Write Cache storage performance metrics that can be viewed are: New writes, Cache size, % Full.
Windows Admin Center is complementary to Windows Server 2019 and Windows 10 and as such does not require separate licenses.
Windows Server 2019 introduces drive built-in outlier detection for Storage Spaces Direct, inspired by Microsoft Azure. Drives with abnormal behavior, whether it’s their average or 99th percentile latency that stands out, are automatically detected and marked in PowerShell and Windows Admin Center with an “Abnormal Latency” status.
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VMware vSphere Web Client (plugin)
VMware vCenter plug-in for SANsymphony
SCVMM DataCore Storage Management Provider
Microsoft System Center Monitoring Pack
DataCore offers deep integration with VMware vSphere and Microsoft Hyper-V, as well as their respective systems management tools, vCenter and System Center.
SCVMM = Microsoft System Center Virtual Machine Manager
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Not relevant (Unified interface)
Because Scale Computing HC3 controls the entire Hyperconvergence stack (hypervisor, compute, storage), the HC3 web-based user interface provides all the required management functionality.
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SCVMM 2016
Windows Admin Center (HCI only)
SCVMM 2016 provides wizards that allows you to configure and deploy both single-layer and dual-layer S2D clusters for use with Hyper-V.
The Create Hyper-V wizard allows deployment of S2D on hosts that already have Windows Server 2016 Datacenter installed as well as hosts that do not have an OS installed yet.
Also, from SCVMM S2D Storage QoS Policies can be configured.
Windows Admin Center provides centralized management for S2D clusters including provisioning as well as real-time monitoring and alerting.
Windows Admin Center is complementary to Windows Server and Windows 10 and as such does not require separate licenses.
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Programmability |
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Full
Using DataCores native management console, Virtual Disk Templates can be leveraged to populate storage policies. Available configuration items: Storage profile, Virtual disk size, Sector size, Reserved space, Write-trough enabled/disabled, Storage sources, Preferred snapshot pool, Accelerator enabled/disabled, CDP enabled/disabled.
Virtual Disk Templates integrate with System Center Virtual Machine Manager (SCVMM), VMware Virtual Volumes (VVol) and OpenStack. Virtual Disk Templates are also fully supported by the REST-API allowing any third-party integration.
Using Virtual Volumes (VVols) defined through DataCore’s VASA provider, VMware administrators can self-provision datastores for virtual machines (VMs) directly from their familiar hypervisor interface. This is possible even for devices in the DataCore pool that don’t natively support VVols and never will, as SANsymphony can be used as a storage-virtualization layer for these devices/solutions. DataCore SANsymphony Provider v2.01 has VVols certification for VMware ESXi 6.5 U2/U3, ESXi 6.7 GA/U1/U2/U3 and ESXi 7.0 GA/U1.
Using Classifications and StoragePools defined through DataCore’s Storage Management Provider, Hyper-V administrators can self-provision virtual disks and pass-through LUNS for virtual machines (VMs) directly from their familiar SCVMM interface.
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Full
Scale Computing HC3 leverages Storage Policy-Based Management (SPBM) that allows administrators to build a profile for each VM with regard to protection and for each virtual disk with regard to data tiering.
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Partial (Storage QoS)
From SCVMM S2D Storage QoS Policies can be configured.
Also you can either define or skip Storage Spaces configuration when creating the Storage Pool. If no configuration is specified during the Storage Spaces creation, it will take the default configuration that has been defined at the Storage Pool layer.
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REST-APIs
PowerShell
The SANsymphony REST-APIs library includes more than 200 new representational state transfer (REST) operations, so automation can be leveraged more extensively. RESTful interfaces are used by products such as Lenovo XClarity, Cisco Embedded Resource Manager and Dell OpenManage to manage infrastructure in the enterprise.
SANsymphony provides its own Powershell cmdlets.
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REST-APIs
Apache Thrift
Python executables
Both Scale Computing end-users and ecosystem partners can programmatically manage the HC3 platform by using either REST-APIs, Apache Thrift and/or Python executables.
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PowerShell
WMI
Public SDK (WAC)
Several PowerShell cmdlets has been developped to manage Storage Spaces Direct (S2D). These PowerShell cmdlets are extensive and provide you with a powerful tool to automate and troubleshoot an S2D solution.
WAC = Windows Admin Center
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OpenStack
OpenStack: The SANsymphony storage solution includes a Cinder driver, which interfaces between SANsymphony and OpenStack, and presents volumes to OpenStack as block devices which are available for block storage.
Datacore SANsymphony programmability in VMware vRealize Automation and Microsoft System Center can be achieved by leveraging PowerShell and the SANsymphony specific cmdlets.
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N/A
Scale Computing HC3 does not provide tight integration with either OpenStack or any automation/orchestration platforms.
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Azure Automation
System Center Orchestrator
System Center Orchestrator allows the orchestration of S2D management automation tasks. However, note that this product is to be deprecated in the near future. As an alternative, Azure Automation can be used to create S2D management workflows and automate tasks.
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Full
The DataCore SANsymphony GUI offers delegated administration to secondary users through fine-grained Role-based Access Control (RBAC). The administrator is able to define Virtual Disk ownership as well as privileges associated with that particular ownership. Owners must have Virtual Disk privileges in an assigned role in order to perform operations on the virtual disk. Access can be very refined. For example, one owner may have the privilege to create a snapshot of a virtual disk, but not have the ability to serve or unserve the same virtual disk. Privilege sets define the operations that can be performed. For instance, in order for an owner to perform snapshot, rollback, or replication operations, they would require those privilege sets in an assigned role.
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Partial
The Scale Computing HC3 GUI offers delegated administration to secondary users through Role-based Access Control (RBAC). The user access level can be changed to “Admin” with full administrator access or customized with a variety of role options that fall in between Read-only and Admin.
The following optional functional roles that represent groupings of funtional tasks, can be assigned:
- Backup - Clone, Export, Import, Add/Pause Replication to a VM, Create/Delete snapshots, and Create/Delete/Modify snapshot schedules.
- Cluster Settings - Create/Modify all settings within Control Center, except for User Management and Control (system/cluster shutdown).
- Cluster Shutdown - Shutdown the system/cluster and any running VMs.
- VM Create/Edit - Import VMs and Create, Modify, Clone, and Add/Modify VM block (virtual disk) and network devices.
- VM Delete - Delete VMs and their associated snapshots and devices.
- VM Power Controls - Start, Shutdown/Power Off, and Live Migrate VMs.
A user can be assigned any number of these optional roles.
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N/A (not part of S2D license)
A self service portal enables end-users to access a portal where they can provision and manage VMs from templates, eliminating administrator requests or activity.
Microsoft Storage Spaces Direct (S2D) does not provide any end-user self service capabilities of its own.
Self-Service functionality however can be enabled by leveraging Windows Azure Pack (WAP) and Microsoft Azure Stack. These solutions require separate licenses.
If you are using Windows Azure Pack (WAP) and SCVMM, you can deploy the solution on top of an S2D cluster. WAP and SCVMM are based on storage classification that can be defined from SCVMM.
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Maintenance |
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Unified
All storage related features and functionality are built into the DataCore SANsymphony platform. The consolidation means, that only one product needs to be installed and upgraded and minimal dependencies exist with other software.
Integration with 3rd party systems (e.g. OpenStack, vSphere, System Center) are delivered seperately but are free-of-charge.
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Unified
All storage related features and functionality are built into the Scale Computing HC3 platform. The consolidation means, that only one product needs to be installed and upgraded and minimal dependencies exist with other software.
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Partially Distributed
For a number of features and functions Storage Spaces Direct (S2D) relies on other components that need to be installed and upgraded next to the core Windows platform. Examples are backup/restore and advanced management software. As a result some dependencies exist with other software.
Windows Admin Center is starting to close the gap where day-to-day administration is concerned.
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SW Upgrade Execution
Details
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Rolling Upgrade (1-by-1)
Each SANsymphony update is packaged in an installation Wizard which contains a fully guided upgrade process. The upgrade process checks all system requirements and performs a system health before starting the upgrade process and before moving from one node to the next.
The user can also decide to upgrade a SANsymphony cluster manually and follow all steps that are outlined in the Release Notes.
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Rolling Upgrade (1-by-1)
Scale Computing provides one-click software and firmware upgrades of HC3 nodes that typically takes minutes to complete, while all VMs remain online during the entire upgrade procedure.
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Rolling Upgrade (1-by-1)
The recommended way to upgrade a Storage Spaces Direct (S2D) cluster is Cluster Aware Updating (CAU). CAU orchestrates the restart of nodes and cares about the volume state (degraded or not) before upgrading a node. For the operating system upgrade, Microsoft has developped Rolling Cluster Upgrade (RCU) that enables adding nodes with a different OS version inside the same cluster.
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FW Upgrade Execution
Details
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Hardware dependent
Some server hardware vendors offer rolling upgrade options with their base software or with a premium software suite. With some other server vendors, BIOS and Baseboard Management Controller (BMC) updated have to be performed manually and 1-by-1.
DataCore provides integrated firmware-control for FC-cards. This means the driver automatically loads the required firmware on demand.
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1-Click
Scale Computing provides one-click software and firmware upgrades of HC3 nodes that typically takes minutes to complete, while all VMs remain online during the entire upgrade procedure.
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Hardware dependent
Some server hardware vendors offer rolling upgrade options with their base software or with a premium software suite. With some other server vendors, BIOS and Baseboard Management Controller (BMC) updated have to be performed manually and 1-by-1.
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Support |
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Single HW/SW Support
Details
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No
With regard to DataCore SANsymphony as a software-only offering (SDS), DataCore does not offer unified support for the entire solution. This means storage software support (SANsymphony) and server hardware support are separate.
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Yes
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No (Yes for some Tier-1 server hardware vendors)
With regard to Microsoft Storage Spaces Direct (S2D) as a software-only offering, Microsoft does not offer unified support for the entire solution. This means storage software support (Microsoft Storage Spaces Direct) and server hardware support are separate.
Some Tier-1 server hardware vendors like Dell EMC or DataOn do offer hardware+software support in case of S2D Ready-Nodes.
S2D in Windows Server 2019 will be fully supported in mid-January 2019 when hardware will be validated and officially added to the Windows Server Software-Defined (WSSD) Solution list.
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Call-Home Function
Details
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Partial (HW dependent)
With regard to DataCore SANsymphony as a software-only offering (SDS), DataCore does not offer call-home for the entire solution. This means storage software support (SANsymphony) and server hardware support are separate.
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Full
When the Scale Computing HC3 state machines detect failure modes or significant issues, they notify the Scale Computing support group (by default settings) via SNMP. Also, the state machines themselves automatically remediate the issue if possible.
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Partial (HW dependent)
With regard to Storage Spaces Direct (S2D) as a software-only offering (SDS), Microsoft does not offer call-home for the entire solution. This means storage software support (Microsoft Storage Spaces Direct) and server hardware support are separate.
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Predictive Analytics
Details
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Partial
Capacity Management: DataCore SANsymphony Analysis and Reporting supports depletion monitoring of the capacity, complements pool space threshold warnings by regularly evaluating the rate of capacity consumption and estimating when space will be depleted. The regularly updated projections give you a chance to add more storage to the pool before you run out of storage. It also helps you do a better job of capacity planning with fewer surprises. To help allocate costs, especially in private cloud and hosted cloud services, SANsymphony generates reports quantifying the storage resources consumed by specific hosts or groups of hosts. The reports tally several parameters.
Health Monitoring: A combination of system health checks and access to device S.M.A.R.T. (Self-Monitoring, Analysis and Reporting Technology) alerts help to isolate performance and disk problems before they become serious.
DataCore Insight Services (DIS) offers additional capabilites including log-analytics for predictive failure analysis and actionable insights - including hardware.
DIS also provides predictive capacity trend analysis in order to pro-actively warn about licensing limitations being reached within x days and/or disk pools running out of capacity.
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N/A
Scale Computing HC3 does not natively have predictive analytics capabilities.
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Full
NEW
System Insights is a new predictive analytics feature in Windows Server 2019.
System Insights introduces four default capabilities focussed on capacity forecasting:
- CPU capacity forecasting: Forecasts CPU usage.
- Networking capacity forecasting: Forecasts network usage for each network adapter.
- Total storage consumption forecasting: Forecasts total storage consumption across all local drives.
- Volume consumption forecasting: Forecasts storage consumption for each volume.
Each capability analyzes past historical data to predict future usage, and all of the forecasting capabilities are designed to forecast long-term trends rather than short-term behavior.
Other templates will be available over the time.
Windows Server version 1903 introduced the capability 'disk anomaly detection'. Disk anomaly detection highlights when disks are behaving differently than usual. While different isnt necessarily a bad thing, seeing these anomalous moments can be helpful when troubleshooting issues on your systems.
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