Key Challenges In Today’S Dynamic Data Center

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The deck from my session at Datacenter world earlier today.

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Key Challenges In Today’S Dynamic Data Center

  1. 1. Key challenges in today’s dynamic data center – overcoming them and delivering agility, efficiency, and innovation <br />Birendra Gosai<br />Date: September 13, 2011<br />
  2. 2. Agenda<br /><ul><li>Virtualization maturity lifecycle
  3. 3. Server consolidation
  4. 4. Migrate with confidence
  5. 5. Infrastructure optimization
  6. 6. Gain visibility and control
  7. 7. Automation and orchestration
  8. 8. Control VM sprawl
  9. 9. Dynamic datacenter
  10. 10. Agility made possible
  11. 11. Summary
  12. 12. Questions</li></ul>2<br />Key challenges in today’s dynamic data center – overcoming them and delivering agility, efficiency, and innovation <br />
  13. 13. Virtualization maturity lifecycle<br />3<br />Key challenges in today’s dynamic data center – overcoming them and delivering agility, efficiency, and innovation <br />
  14. 14. Server consolidation – definition and challenges<br />An approach that makes efficient use of available compute resources<br />Reduces the total # of physical servers<br />Significant savings in hardware, facilities, operations and energy costs<br />Key challenges:<br />Gaining insight into application configuration, dependency, and capacity requirements <br />Quick and accurate workload migrations in a multi-hypervisor environment <br />Ensuring application performance after the workload migration <br />The lack of virtualization expertise <br />4<br />Key challenges in today’s dynamic data center – overcoming them and delivering agility, efficiency, and innovation <br />
  15. 15. Server consolidation – sample project plan<br />Project description<br />Implementation plan<br />Tier 2/tier 3 departmental server consolidation project.<br />Convert ~250 production and test physical servers onto about 40 hosts.<br />~2-3 person implementation team<br /> ~8 week timeframe<br />5<br />Key challenges in today’s dynamic data center – overcoming them and delivering agility, efficiency, and innovation <br />Note: The tasks and timelines will vary with the size and scope of the project, available resources, number and complexity of candidate applications, and other parameters.<br />
  16. 16. Infrastructure optimization – definition and challenges<br />Gain visibility and control<br />Reduce costs and do more with fewer resources (thus reducing CapEx)<br />Virtualize tier1 applications<br />Increase % capacity utilization of virtual hosts<br />Key Challenges:<br />providing performance and SLA assurance to the business<br />deploying and maintaining capacity on an automated basis<br />securing access to the virtual environment<br />ensuring business continuity in the event of a failure<br />6<br />Key challenges in today’s dynamic data center – overcoming them and delivering agility, efficiency, and innovation <br />
  17. 17. Infrastructure optimization - sample project plan<br />Project description<br />Implementation plan<br />Tier 1 infrastructure optimization project.<br />Add ~10 critical production workloads onto about 40 hosts with existing workloads, resulting in 80-90% capacity utilization on the hosts<br />~3-4 person implementation team<br /> ~8 week timeframe<br />7<br />Key challenges in today’s dynamic data center – overcoming them and delivering agility, efficiency, and innovation <br />Note: The tasks and timelines will vary with the size and scope of the project, available resources, number and complexity of candidate applications, and other parameters.<br />
  18. 18. Automation and orchestration – definition and challenges<br />Arrest ‘VM sprawl’<br />Gain OpEx savings<br />Help IT staff focus on strategic initiatives<br />Key challenges<br />Faster provisioning of standardized servers / applications that reduce customizations<br />Process integration across heterogeneous platforms, applications and IT groups<br />Reduce the MTTR for application problems<br />Standardize configuration and ensure compliance<br />8<br />Key challenges in today’s dynamic data center – overcoming them and delivering agility, efficiency, and innovation <br />
  19. 19. Automation & orchestration - sample project plan<br />Project description<br />Implementation plan<br />Lab management system enables IT organizations to provide a web-based self-service reservation system so users can reserve and deploy customized server and virtual machine instances without administrator intervention.<br />Other sample projects -production / staging environment mgmt, demos on demand capability, etc <br />~3-4 person implementation team<br /> ~6 week timeframe<br />9<br />Key challenges in today’s dynamic data center – overcoming them and delivering agility, efficiency, and innovation <br />Note: The tasks and timelines will vary with the size and scope of the project, available resources, number and complexity of candidate applications, and other parameters.<br />
  20. 20. Dynamic datacenter – definition and challenges<br />An agile IT infrastructure, based on an optimized and automated virtual infrastructure, that is:<br />service oriented - delivering on-demand, standardized services to the business<br />scalable - with the ability to span physical, virtual and cloud environments, and<br />secure – providing security as a service to internal / external customers.<br />Key challenges with successful server consolidation<br />providing a comprehensive service interface that serves as a visual communication tool between IT and the business<br />delivering a standard set of tiered-services (with well defined SLAs) that are consumable by business users<br />service oriented automation and orchestration to span across heterogeneous physical, virtual and cloud environments, and<br />ensuring security, compliance and QoS across hybrid environments.<br />10<br />Key challenges in today’s dynamic data center – overcoming them and delivering agility, efficiency, and innovation <br />
  21. 21. Dynamic datacenter - sample project plan<br />Project description<br />Implementation plan<br />Support expanding business initiatives with agility. <br />Deliver existing internal business services to partners. (e.g. billing, shipping, EMR, etc)<br />~4-6 person implementation team<br /> ~6 month timeframe<br />Note: The tasks and timelines will vary with the size and scope of the project, available resources, number and complexity of candidate applications, and other parameters.<br />11<br />Key challenges in today’s dynamic data center – overcoming them and delivering agility, efficiency, and innovation <br />
  22. 22. Summary - Journey from virtualization to the cloud<br />Management “Tipping Points”<br />Dynamic Datacenter<br />Automation and Orchestration<br />Infrastructure <br />Optimization<br /><ul><li>Service provisioning
  23. 23. Security and BCDR
  24. 24. Service assurance
  25. 25. Service contract mgmt and chargeback
  26. 26. Service catalog</li></ul>Server Consolidation<br /><ul><li>Resource pool deployment
  27. 27. Lifecycle mgmt
  28. 28. Workflow orchestration
  29. 29. Showback
  30. 30. Private cloud (dev/test, LOD, etc)
  31. 31. Performance mgmt
  32. 32. Continuous capacity mgmt
  33. 33. Privileged user mgmt
  34. 34. BCDR
  35. 35. Application discovery
  36. 36. Capacity planning
  37. 37. Workload migration</li></ul>12<br />Key challenges in today’s dynamic data center – overcoming them and delivering agility, efficiency, and innovation <br />
  38. 38. Thank You<br />Birendra Gosai<br />Email: Birendra.Gosai@ca.com<br />

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