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Utility Computing: Managing the Challenges

Utility Computing: Managing the Challenges. Patrick Lin VERITAS Software. Agenda. Customer challenges Utility computing defined Sample use cases Lessons learned. Increasing Complexity and Expectations Heterogeneous, Interdependent, Complex, Always Changing. Client/Server.

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Utility Computing: Managing the Challenges

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  1. Utility Computing:Managing the Challenges Patrick Lin VERITAS Software

  2. Agenda • Customer challenges • Utility computing defined • Sample use cases • Lessons learned

  3. Increasing Complexity and Expectations Heterogeneous, Interdependent, Complex, Always Changing Client/Server n-tier, SAN, J2EE, .Net, Web Services Business Business Acceleration Differentiation

  4. The IT DilemmaLower IT Budgets, Increasing Operational Costs “Differentiation” Inability For IT ToCreate “Differentiation” Due To Lower IT Budgets & Increased Operational Costs Operational Costs

  5. Applications Servers Storage IT Operational Processes Administrators Fragmented Inconsistent Too many tools Labor-intensive Not enough visibility Component APIs / Element Managers / Administrative Consoles

  6. What is Utility Computing?

  7. What Defines a Utility? • Delivers services over a network • Available to anyone in the service area • Services are standardized • Consumption is measured • Consumers are billed for usage and availability • Taken for granted by its consumers • An approach to running a business that maximizes adaptability to change, cost control, quality of service

  8. Utility ComputingA Major Shift In The Way IT Delivers Apps/Infrastructure • Accountable and chargeable • Alignment with business needs • Detailed usage • Detailed cost reporting and chargeback • Shared resources • Optimized utilization • Reduced operational costs • Pooling, virtualization and provisioning • Managed service levels • Reliable, just-in-time provisioning • Adapts to business needs • Automated (not automatic!)

  9. Hype Future Which Utility Computing?

  10. What the Analysts Say… Gartner Group, 2004

  11. VirtualCommodityInfrastructure Labor IntensiveManagement AutomatedManagement PredictableService Levels Cost Center Value Center Utility Computing: Evolution of IT DistributedProprietaryInfrastructure ArbitraryService Levels

  12. How Do I Get There?

  13. Utility ComputingMore Than Technology - Reference Model • Service Layer • Well defined classes of service • Charge based on usage • Organization Layer • Centralized centers of excellence • Service management disciplines • Process Layer • Support for service lifecycle • Automation where possible • Standardized workflow • Software Layer • Full abstraction of hardware • Centralized I.T. management • I.T. process automation • Hardware Layer • Commoditized, modular design • Hierarchical infrastructures

  14. Utility Computing Maturity ModelMajor Milestones SharedInfrastructure AssistedManagement ServiceManagement UtilityComputing DedicatedSystems

  15. Cost Control Real-time mgmt viewsStandardized technology Fully optimized I.T.Automated chargeback Rigorous service. mgmtResource optimization Centralized mgmtBasic cost awareness Low asset utilizationHigh TCO Adaptability To Change Dynamic ITresources Dynamic provisioningReusable workflows Virtualized I.T. I.T. dedicated tofunction Actionable infrastructuresJIT provisioning Quality Of Service “Silo Control” Basic accountabilityBasic Class of Service End to end QOS Self-service portals Improved data sharing Utility Computing Maturity ModelMajor Milestones SharedInfrastructure AssistedManagement ServiceManagement UtilityComputing DedicatedSystems

  16. Utility Use Case: Dartmouth College

  17. Dartmouth IT EnvironmentDecentralized, Heterogeneous Infrastructure Dartmouth Machine Room • Heterogeneous IT environment – Windows, Solaris, AIX, HP-UX, Mac OS, etc. • Storage & Server Growth > 40% annually

  18. ServiceDefinition ServiceCostAllocation ServiceRequest ServiceLevelReporting Service Delivery Management Service Level Management ServiceApprovals ServiceLevelMonitoring ServiceProvisioning Dartmouth Data Protection Utility Approach: IT Service Lifecycle ServicePlanning

  19. Utility Model RationaleImproved Records Management & Processes • Centralize IT • Standardize on backup policies and data recovery procedures (data protection service) • Provide expert assistance to departments • Improve efficiency • Enable process efficiencies for service requests • Improve data management, availability and performance • Transform IT from a cost center to a value center • Align IT with college needs and demonstrate value • Charge departments based on usage

  20. Service DefinitionCreating the initial offering • How defined? • How to obtain buy-in? • How supported?

  21. Utility Model ImplementationReporting & Cost Recuperation Model • Short-term: Offer service as a pilot & learn… • 500 users in select departments • Creative financing strategy to minimize CapEx • Usage-based cost allocation with monthly billing cycle automatically deducted • Accurate & timely usage reporting by department • Feedback drives increased deployment • Long-term: Create campus-wide offerings • All faculty, staff, students • Specific service levels / offerings • Flat-rate pricing tiers • Monthly billing automatic • Accurate & timely reporting • Expansion beyond data protection (storage, servers, etc.)

  22. Utility Model BenefitsCost Reduction, Service Improvement • Headcount savings & focus on core competencies • Physical resource savings • (Showcase) IT aligned with college goals/objectives • Service improvement for data recovery • Detailed ROI is underway

  23. Utility Use Case: Global Financial Services Firm

  24. Background • Consolidation project • Staged deployment over 12 month period • Blueprint for all other global storage utilities • Business case built over 2 years • Emphasis on utilization • Waited for stabilization in SAN marketplace: • Carrier-class switches • Modular arrays with high-end functionality at right price/performance • Differentiated storage services offered to internal customers

  25. Technical Details • 2 Petabyte platform • Approximately 2500 servers attached by end of 2005 • Core-edge topology using Cisco MDS • Dual path fabrics • Solaris8 with Emulex HBAs (migration to Solaris10 in 2005) • VxVM 4.0 on every host • EMC Clariion CX700, configured with regular and metaLUNs • Remote replication using Mirrorview or VVR, depending on class of service • Netbackup 5.0

  26. Provisioning Requirements • Integration with existing trouble-ticketing system • Service definitions • Premium • Standard • Economy • Additional service definitions for next version • Premium+, Standard+, Economy+, Archive • Both automation and manual operation • Delivers LUNs and/or mount points (volumes) to customers • Rules-based

  27. Provisioning Requirements • Three primary use cases • Create storage for new or existing host • Grow storage (volumes and/or LUNs) for existing host • Free (remove) storage • Rollback to assure SAN integrity • Approval routing and escalation • Scheduling • Create custom charge-back XML to submit to accounting system • Scale to 100 concurrent requests

  28. Storage Services Offered

  29. Rationale for Approach • Leverage solution and tight integration across operations (storage and backup) • Accurate information for the business: Reporting and mapping of resources by Project / Owner • Forward step to delivering true charge-back model to customers: bill-back & tiered price offerings • Improved quality and consistency of service levels (delivery time, accuracy, information) • Controlled acquisition & deployment model: Bite-size vs all-or-nothing

  30. Service Automate Virtual CommodityInfrastructure Predictable Service Levels AutomatedManagement Standardize Consolidate Discover How You Get There…Five Steps To Utility Computing Utility Computing

  31. Business Interface Basic Class Of ServiceBusiness Level Reporting No SLA’s Arbitrary SLA’s End-End Service Mgmt Utility Services I.T. Organization Distributed FunctionsDistributed Competence Simple Service MgmtDiscipline Comprehensive Svc MgmtDiscipline Centers Of Excellence IT Value Center I.T. Processes Bespoke processes Basic Mgmt Workflows Routine Task Automation Comprehensive Automation Fully Automated IT Software Capability Non-StandardizedNo Hardware Abstraction Basic Storage AbstractionCentralized Mgmt Tools Std Software ToolsBasic Auto Provisioning Service Lifecycle MgmtActionable Infrastructure End-End Utility Mgmt Hardware Capability Hierarchical ModularArchitecture Distributed, Proprietary Shared Storage Shared Server Pools Commodity Hardware Utility ComputingTransformation Methodology DedicatedSystems SharedInfrastructure AssistedManagement ServiceManagement UtilityComputing

  32. Takeaways (What Customers Say) • Integration, centralization, virtualization • Deal with the heterogeneity and complexity • Visibility into utilization and cost is key • Show me what I have, who’s using what • Standardized templates, rules, catalogs • Help me develop best practices • Configuration / lifecycle of assets is key • It’s not just about provisioning • Starting at just one layer of infrastructure • All apps and infrastructure…over time

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