Presentation Transcript

1. De-Risking und Performance-Optimierung von Tier-1 Applikationen in virtualisierten UmgebungenJan-Ulrich MaueSr. Solutions ConsultantFC Symposium, 08. November 2011 - Wien
2. Agenda Einführung Die Herausforderungen End-to-End Monitoring Unterschiedliche Sichten auf die Infrastruktur
3. Was isteine “Tier-1 Applikation”? ApplikationstypKosten je Ausfall (1 Stunde) Collaboration und Messaging 60.000 € ERP 120.000 € Infrastructure/Productivity Tools 42.000 € Line of Business Applikation 120.000 € Retail / Point of Sale 400.000 € Scientific / Technical 85.000 € Supply Chain Management 120.000 € Trading / Handelssysteme 600.000 €
4. Lack of visibility Need to Leverage Significant Existing Investments in FC The FC SAN has lacked any real I/O systems-level performance Lacks self-health, diagnostics and full path transparency Servers & Virtual Machines I/O SAN Cloud FC Fabric I/O Storage Arrays
5. Deploy and run Further Storage Acquisition Without Optimising Existing Investments or Visibility into New CAPEX Investments The SAN has lacked any real I/O systems-level performance Data growth at an unprecedented rate (average 30-60% CAGR) A 200TB shop in ‘05 growing 50% is now 1PB and will be about 8PB in five years Storage investments at an all-time high as % of overall IT budget circa 60% Servers & Virtual Machines SAN Cloud
6. As you virtualise, visibility is lost Virtualisation is creating further challenges in delivering Quality of Service for IT and the business The SAN has lacked any real I/O systems-level performance Data growth at an unprecedented rate (average 30-60% CAGR) A 200TB shop in ‘05 growing 50% is now 1PB and will be about 8PB in five years Storage investments at an all-time high as % of overall IT budget circa 60% More “abstraction” being added Loss of visibility Performance challenges Slows virtualisation deployments Virtual Server Cloud SAN Cloud Storage Virtualization Cloud
7. From VM, to Host, to SAN, to SP, to LUN Servers & Guests Virtual Server Mgmt Tools look only at server-specific metrics Must See Across Entire Stack Real-time traffic analysis, every transaction Device-independent Non-intrusive, No agents Enterprise Scalability SAN R/W latency Alerts on access times & physical layer errors Device-specific Fabric Managers focus on zoning, provisioning, utilization SRM tools focus on capacity discovery and planning. Device-specific performance tools focus on array metrics. Storage Arrays
8. Why Does Virtual Instruments Exist? Infrastructure De-Risking - Application-to-Infrastructure Stack Application layer Business Applications Systems and DB monitoring, alerting, troubleshooting, analysis, and optimization Systems and Database layer Systems HW, OS, DB SW & management SW – primarily vendor supplied Network monitoring, troubleshooting, alerting, analysis, and optimization Network layer Network hardware and software management – primarily vendor supplied Health monitoring, alerting & optimization Utilization optimization Performance monitoring, alerting, troubleshooting & optimization Data Storage (SAN) layer Storage Hardware (HBA, Switch, Array), & vendor or device level mgmt, SRM and capacity monitoring software – primarily vendor supplied
9. Application Administrator – Performance Scorecard
10. Server Administrator Scorecard
11. SAN Administrator – Infrastructure Scorecard
12. Storage Administrator – Performance Scorecard
13. Storage Administrator – Performance drill down
14. Use Actual I/O Data for Accurate Troubleshooting vCenter server metrics show acceptable R/W latencies in the 14 – 19 MS range But Exchange Completion Time from ProbeFCX shows unacceptable latencies in the 40+ MS range Application looks healthy from vCenter perspective, but ProbeFCX shows that vCenter, using “averages”, doesn’t identify real application latency problems – VirtualWisdom is unique because it allows the virtual infrastructure to be instrumented, monitored and continuously measured to see how it is affecting applications – VirtualWisdom helps reduce the risk of cloud computing
15. CapacityPlanning Dashboard
16. VirtualWisdom architecture Monitoring Performance Across the Virtual Infrastructure Stack in real time Guests Server Cloud ProbeVM APP APP APP APP APP APP APP APP APP APP SAN Availability Probe SAN Cloud OS OS OS OS OS OS OS OS OS OS SANInsight (TAP) SAN Performance Probe Storage Virtualization Cloud
17. Who are Virtual Instruments? Founded in 2008 Pre-IPO San Jose based Technology company, over 120 employees today Strong revenue growth YOY – fiscal 2011 up 250%+ Virtual Instruments’ heritage is FC based I/O Performance Monitoring and Troubleshooting Better visibility of performance across Virtualised Infrastructure (Server, Switch, SAN) in support of Mission Critical Applications Virtualisation with Same Performance Guarantees Strong Business and Financial Value to Customers Strong OPEX and CAPEX benefits derived from proactive optimisation of current infrastructure and investments as well as clearer understanding of future infrastructure investment requirements based upon application performance Fortune 2000 Customer Base Over 100 Tier 1 customers with 40%+ in Financial Services, 33% Retail/Manufacturing (typically SAP related) Heterogeneous Approach to the Infrastructure Global Strategic Relationship with HDS

18. Vielen Dank!

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