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Server Virtualization: Planning And Rollout

Server Virtualization: Planning And Rollout. George Crump, Founder Storage Switzerland. Agenda. What is Virtualization Understanding Complete Virtualization Analyze the Business Environment Inventory the Physical Environment Analyze the Physical Environment Infrastructure Workload.

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Server Virtualization: Planning And Rollout

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  1. Server Virtualization: Planning And Rollout George Crump, Founder Storage Switzerland

  2. Agenda What is Virtualization Understanding Complete Virtualization Analyze the Business Environment Inventory the Physical Environment Analyze the Physical Environment Infrastructure Workload

  3. Planning Flowchart Continued Aggregate into combined environmental Analysis Develop a Virtual Host Infrastructure Moving from Physical to Virtual Develop a Guest to Host Mapping Develop a Virtual Motion Mapping Design the Virtualized Environment Make the move Develop Ongoing Analysis and Mapping Strategies

  4. What is Virtualization? Why Total Virtualization What is Total Virtualization Servers Network Storage Infrastructure

  5. Virtualization Rollout Challenges Most relate to lack of exposure and fast rollout initiatives Leads to these problems Slow Applications Memory over subscription errors IP address challenges Incompatible Hardware Over Virtualization on a box

  6. Business Assessment Process and Application Analysis Multi-Tier application Multi-Site application Ownership Business Unit Location IT Availability Zero Downtime? Virtual Machine Motion Virtualization HA Maintenance Windows Viewed from application angle or host angle

  7. Business Assessment Continued Budget Knowing the Budget in Advance Building the Budget based on assessment Skills What new skills need to be developed Software Supplier Relationships Licensing Support of virtual environment

  8. Motivation Assessment Why are you virtualizing? Server Consolidation Hardware flexibility “Green” Improved Efficiencies High Availability Disaster Recovery

  9. Environment Assessment

  10. Workload Assessment Basic One App per server Single Network Connection Low I/O Local or Single Storage point Advanced Clustered Systems Multi-Homed High I/O

  11. File Services -- A Unique Case Better Served by a NAS Virtual NAS Heads Global File Systems

  12. Workload Analysis • What plays well together • Trend over the course of time • Processor Requirements • Memory Requirements • Cache • Addressable Ram • Security Requirements • Storage Requirements • IO Requirements

  13. Developing A Workload Analysis Map • Defines regions of compatibility and incompatibility • Weighting is based on • Application Stability • Availability Requirements • Network IO • Storage IO • Processor Requirements

  14. Develop A Virtual Host Infrastructure • Determine the Host Population • Budget • Number of Virtual Candidates • Number of remaining Physical

  15. Storage Infrastructure Virtualization • Access Protocol • Fibre • ISCSI • NFS • Storage Hardware • Local Attached • SAN • NAS

  16. Network Interface Selection • Challenge with 1 GBE Cards • 10 GBE • 10 GBE cards with IOV

  17. Infrastructure Virtualization • Brings Virtualization capabilities to Bare Metal Hardware • Manages Network and Storage Connections

  18. Server Virtualization Software Selection • VMware • ZEN • Hyper-V • Others

  19. Server Host Hardware Understanding • Components • Memory • Cache • Compute • I/O Capabilities • Host Types • Blades • Dense U Servers • High Compute Servers

  20. Moving From Physical To Virtual • Allocating compute capacity • Day to Day operations • VMotion activity • Developing a Virtual Guest to Host Mapping • Develop a Virtual Movement Mapping • Design the Virtual Environment • Define the Timeline • Preparing the Virtual Environment • Preparing the Physical Environment • Migrating your Physical Move

  21. Providing Virtualization Benefits To The Remaining Physical Servers • Leveraging Storage Virtualization • Leveraging Infrastructure Virtualization

  22. Thinking Virtual • Understanding moveable workloads • Compute Optimization • Moving Workloads based on compute needs • Moving from Physical to Virtual to Physical • Storage Optimization • High Availability

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