DataCore Technology Overview
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DataCore Software's document provides a technical overview of its products, particularly DataCore SANsymphony and DataCore Virtual SAN, highlighting over 10,000 customers and 30,000 deployments. It discusses the advantages of parallel I/O processing over traditional storage approaches, showing significant performance improvements and reduced costs. The document emphasizes the ability to handle increased I/O demands efficiently while maintaining a small physical footprint.
DataCore Technology Overview
- 1. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. Technical Overview Jeff Slapp Director, Systems Engineering Products: • DataCore SANsymphony™-V • DataCore Virtual SAN
- 2. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. HIGH-LEVEL OVERVIEW
- 3. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. Widely deployed: Over 10,000 customers & Over 30,000 deployments Mature: 10th Generation & 18 years of development 3 Any physical host DataCore + x86 = Enterprise Storage Controller Any connection Any hypervisor Any application Any storage
- 4. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. 44 Storage Controller Architectures Compared Expansion Slots* CPUs** and Memory*** Controller 1 Expansion Slots CPUs and Memory Controller 1 Controller 2 Controller 2 Self- Contained Shared Storage Controllers Expansion Slots* CPUs** and Memory*** Expansion Slots CPUs and Memory Tightly- Coupled Operating System (Software) Loosely- Coupled Operating System (Software)Controller Separation (> 100KM) Discrete Non- Shared Storage Controllers No Controller Separation Typical Storage Controllers DataCore Storage Controllers Storage Services Only (FC, iSCSI, CIFS) Storage (FC, iSCSI, CIFS) and Application Services (Object, DB) * Expansion slots only support specific devices ** CPU type is locked in and on vendor timetable *** Memory is at a premium cost Disk Is Single Point of Failure No Single Point of Failure
- 5. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. Traditional Converged Hyperconverged Integrate, manage, and enhance existing storage Leverage internal storage, reduce complexity and maintain compute segregation Consolidate all functions for smallest footprint and highest performance Same software, with an integrated management console across all three! Deployment Model Independent 5
- 6. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. Co-Existence of All Deployment Models 6
- 7. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. BREAKING WITH TRADITION
- 8. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. Attacking The I/O Problem • The traditional approach of dealing with the I/O problem is to push the I/O down to the disk. • This means the only way to deal with increasing I/O demand is to add more disks and/or more expensive disks (i.e. flash) to the architecture (Hardware Parallelization). • The result of this is increased cost, size, and complexity, while not significantly impacting response times. • A better approach is handling the I/O as soon as it arrives at the system (I/O Parallelization). Cost(Engines,Disks,Real Estate,Environmentals,etc.) Application I/O Demand 8
- 9. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. Understanding DataCore Parallel I/O 9 Parallel Application I/O (Databases, Hypervisors) Storage Admin: Performance is terrible, we need to add more disks. Serial Storage I/O (Typical Storage) Parallel Application I/O (Databases, Hypervisors) I/O Parallelization Approach Storage Admin: Performance is unbelievable, takes up little space, and is very affordable. Parallel Application I/O (Databases, Hypervisors) Hardware Parallelization Approach Storage Admin: Latency is still very high, takes up a lot of space, and this is getting expensive.
- 10. Where Would You Rather Deal With Your I/O? Latest Intel E5v4 Processors 194 GHz Parallel I/O Processing Power across 88 Logical Processors with DDR4 RAM Latest Intel E7v3 Processors 360 GHz Parallel I/O Processing Power across 144 Logical Processors with DDR4 RAM Closest To The Application With The Fastest Components? LatencySeenByApplicationsandUsers
- 11. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. 11 Results of Parallel I/O: Performance and Cost
- 12. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. 12 Results of Parallel I/O : Real Estate Hitachi VSP G1000 DataCore Parallel Server
- 13. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. 13 Results of Parallel I/O : Latency 0.22 0.35 0.58 0.64 0.72 0.96 0.07141 0.06595 0.07612 0.08431 0.08749 0.09995 0 0.2 0.4 0.6 0.8 1 1.2 10% Load 50% Load 80% Load 90% Load 95% Load 100% Load AverageResponseTime(ms) SPC-1 Workload Generator Ramp Phase Response Time / Throughput Curve Hitachi VSP G1000 DataCore/Lenovo (SSD/HDD)
- 14. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. THE POSSIBILITIES
- 15. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. 15 Enterprise Hybrid Services with Hyper-V
- 16. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. 16 Enterprise Hybrid Services with VMware
- 17. THE BIG DATA EQUATION HAS BEEN SOLVED Physical Capacity 368 TB Processing Capacity 194 GHz = + Lenovo® x3650 M5 with Intel® Xeon® E5v4 Processors Storage Performance >1.5 Million IOps Physical Capacity 7.73 PB >31.5 Million Combined SPC-1 IOps Native FC and iSCSI Block Services 1,848 Logical Processors 31.5 TBs of RAM and High-Speed Cache Unified Compute AND Storage HDFS, Ceph, Lustre, GlusterFS, xDFS, NFS, CIFS Big Data Application Agnostic StorageCapabilitiesComputeCapabilitiesPlatformCapabilities 4,074 GHz of Compute and Storage I/O Power 1Rack(42U)
- 18. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. www.datacore.com ©2015 DataCore Software Corporation All rights reserved. DataCore, the DataCore logo and SANsymphony are trademarks or registered trademarks of DataCore Software Corporation. All other products, services and company names mentioned herein may be trademarks of their respective owners. THANK YOU