Integrating Hyper-converged Systems with Existing SANs
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Hyper-converged systems offer a great deal of promise and yet come with a set of limitations. While they allow enterprises to re-integrate system components into a single enclosure and reduce the physical complexity, floor space and cost of supporting a workload in the data center, they also often will not support existing storage in local SANs or offered by cloud service providers. There are solutions available to address these challenges and allow hyper-converged systems to realize their promise. During this session you will learn: - What are hyper-converged systems? - What challenges do they pose? - What should the ideal solution to those challenges look like? - About a solution that helps integrate hyper-converged systems with existing SANs
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Integrating Hyper-converged Systems with Existing SANs
- 1. Integrating Hyper-converged Systems with Existing SANs Dan Kusnetzky Distinguished Analyst and Founder Kusnetzky Group, LLC © 2016
- 2. • How did we get here? • What are hyper-converged systems? • The promise of hyper-converged systems • What's holding us back? • It is a new world, consider the opportunities • Recommendations Kusnetzky Group, LLC © 2016 Agenda
- 3. How did we get here? Kusnetzky Group, LLC © 2016
- 4. How did we get here? Kusnetzky Group, LLC © 2016
- 5. How did we get here? Kusnetzky Group, LLC © 2016
- 6. Enter Functional Servers UI Apps Storage Networking A Function Per Box Kusnetzky Group, LLC © 2016
- 7. What are Hyper-converged Systems? Functions re-integrated Kusnetzky Group, LLC © 2016
- 8. • An attractive way to share internal storage among clusters of servers in a compact, cost effective configuration • Reduces data center footprint • Can reduce power consumption and heat production • They're presented as integrated packages including – Monitoring tools – Management tools – Integration with 3rd party software – Professional Services • The promise isn't always realized Benefits of Hyper-converged systems Kusnetzky Group, LLC © 2016
- 9. Sounds Good, What's Holding Us Back? Often Limited to Internal Storage Kusnetzky Group, LLC © 2016
- 10. • Consider the big picture first and don't be led down a path to more restrictions – Don't limit your view to a vendor or hardware-centric focus! – Don't allow hyper-converged systems to become islands of computing – Consider integration and migration of data • Remember virtual environments should go beyond hardware boundaries It's a New World, Consider the Possibilities Kusnetzky Group, LLC © 2016
- 11. • Hyper-converged systems should be software defined • Pick the virtualized environment first • The proper choice of virtualization technology will – Enfold all of the hardware you've selected – Allow established and cloud storage to complement storage inside hyper-converged systems – Avoid recreating costly islands of storage. – Integrate these systems with established workloads and cloud resources KG Recommendations Kusnetzky Group, LLC © 2016
- 12. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. 12 PRAGMATIC APPROACH TO HYPER-CONVERGENCE Augie Gonzalez, Director, Product Marketing @AugieGonzalez
- 13. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. 13 Centralized vs. Distributed Servers External storage Hyper-converged Servers with Internal storage - Storage software APP APP APP APPAPP APP APP APP “Virtual Storage Pool a.k.a Virtual SAN”
- 14. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. 14 Scale Differently Servers External storage Hyper-converged Servers with Internal storage APP APP APP APPAPP APP APP APP
- 15. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. 15 Central SAN Offload servers Network access Concentrate resources Hyper-converged Leverage server DAS Avoid the network Distribute resources Contrasting Objectives
- 16. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. 16 Central SAN Central Storage Pool Cache ComputeStorage S/W Network Access [ iSCSI / Fibre Channel SAN ]
- 17. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. 17 Hyper-converged Cluster Network Access [ iSCSI SAN ] Storage + Compute Internal Access [ Virtual iSCSI ]
- 18. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. Central Storage Pool Cache Storage S/W 18 Combine Both? Network Access [ iSCSI / Fibre Channel SAN ] Hyper-converged Cluster
- 19. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. 19 Central SAN Storage-centric Special Ops Control all capacity Services-minded Hyper-converged Server-orientation Generalist Manage from host Self-provision Social / Political Factors Different vendor-affinity Image source: MarketingProfs
- 20. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. Existing SAN Storage Join Islands of Storage Cloud Cloud Project # A Hyper-converged System Project # B Hyper-converged System Cloud
- 21. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. DataCore™ SANsymphony™ Software-defined Storage Platform HDDHybridFlash Legacy DataCore™ Hyper-converged Virtual SAN iSCSI / Fibre Channel Data Center Leverage All Available Capacity 21 Cloud Existing SAN Storage
- 22. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. HDDHybridFlash Legacy iSCSI / Fibre Channel Data Center Integrated Data Infrastructure 22 Cloud Existing SAN Storage DataCore™ SANsymphony™ Software-defined Storage Platform DataCore™ Hyper-converged Virtual SAN Remote Office / Branch Office (ROBO) DataCore™ Hyper-converged Virtual SAN Disaster Recovery Site DataCore™ Hyper-converged Virtual SAN Cloud
- 23. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. Best Price-Performance in peer-reviewed SPC-1 benchmark $0.08 / SPC-1 IOPS™ Highest Performance per node w/ DataCore™ Parallel I/O 459,290 SPC-1 IOPS™ Fastest Response ever measured for SPC-1 OLTP workloads 0.32 Millisec @ full load Only 2 nodes needed for Stretch Cluster Scale out storage capacity independent of compute One management platform across entire storage infrastructure Support for Multi-hypervisor & Non-virtual environments Hardware independent (wide choice of server platforms) Same set of services across all storage devices (Internal / external DAS, SAN, Cloud) 23 Hyper-converged Advantages from DataCore See DataCore SPC-1 Full Disclosure Report: www.storageperformance.org/benchmark_results_files/SPC-1/DataCore/A00164_DataCore_SANsymphony-V_10-0/a00164_DataCore_SANsymphony-V_10.0_SPC-1_full-disclosure-report.pdf
- 24. Copyright © 2016 DataCore Software Corp. – All Rights Reserved. Schedule a 15-minute live demo with one our technical consultants at http://info.datacore.com/LiveDemo 24 Request a Live Demo www.datacore.com dan@kusnetzky.net augie.gonzalez@datacore.com Questions?
Editor's Notes
- At first all processing was done by a single system. We're going to gallop through what came next quickly and are not going to try to offer a complete, exhaustive discussion of all of the steps.
- To reduce costs and improve agility, some workloads were moved to minicomputers in the divisional or branch office. While system hardware costs were reduced, the environment became more complex. Complexity increases administrative costs.
- As industry standard systems become more powerful, some workloads were moved from minicomputers to PC servers. In some cases organizations replaced their mainframe systems or used them only as database servers and servers for critical functions. Quite often this meant that there were more systems to manage and the level of complexity only increased.
- To improve performance and agility, system functions were decomposed into separate functions and those functions were hosted in individual rackmount servers. While this improved performance, reliability and agility, the level of complexity increased dramatically. Each component and each function had to be managed separately Separate servers for UI, security, app logic, database, storage, networking and many other components
- Hyper-converged systems reduce complexity Processing, memory, storage and networking are re-integrated into a single enclosure High speed fabric connects the components to improve performance The systems can be very compact Management tools make it possible to see these components as part of a single system They can also reduce costs of administration, floor space, power consumed and heat produced. Address growing workloads through multi-function, scale-out configurations
- An attractive way to share internal storage among clusters of servers in a compact, cost effective configuration. Reduces data center footprint Can reduce power consumption and heat production Vendor supplies Monitoring tools Management tools Integration with 3rd party software Professional Services
- Vender often insists that it supply all components inside of the enclosure May not integrate well with enterprises' selection of monitoring, management and other tools May not integrate well with cloud resources It isn't always clear how these systems integrate with established data center resources This limitation creates data silos Enterprises might face over provisioned storage and wasted space
- Dark forces in the IT industry like to polarize popular opinion; most recently they argue for keeping all the storage in the servers using virtual SANs, leaving nothing external. These sudden mood swings, while attracting a young cult following, lose sight of lessons learned over the past 20 years. Truth is, a blend of internal storage close to the apps with good old fashioned external secondary storage out on the network makes a heck of a lot of sense. In this webinar, Senior Analyst Jim Bagley from SSG-NOW, discusses the not so black-and-white considerations driving customers to tap into the internal storage resources of clustered servers. Then Augie Gonzalez, Storage Virtualization expert from DataCore will provide some practical guidance on how to incorporate existing storage arrays and even public cloud capacity into your virtual SAN rollout.
- Key Differentiation. DataCore uses Paralllel I/O and high-speed RAM caching for I/O acceleration so you get great I/O performance as well as avoiding the expense of flash in the server You only need 2 nodes for a highly available clusters, even stretch clusters, saving money on additional nodes (both hardware and software licenses) and reducing complexity You can scale out storage capacity independent of compute so you can add capacity as needed while ensuring the data sits on the storage media and tier that matches its performance characteristic The same set of services applies to all your storage devices including internal, external DAS, SAN and Cloud, ensuring consistency and reducing operational complexity DataCore provides a single management platform for all your storage, making it easy to add DataCore to your environment while making it easy to manage DataCore supports both multiple hypervisors and non-virtual workloads, running on bare metal Windows Servers in Failover Clusters as well. Lastly, you can choose your preferred hardware vendor. No one has this extraordinary combination of capabilities.