Performance testing virtualized systems v5
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Performance testing virtualized systems v5

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Performance testing virtualized systems v5 Performance testing virtualized systems v5 Presentation Transcript

  • Dan Downing Principal Consultant Dion Johnson
  • Agenda
    • Introduction
      • State of adoption of server virtualization
      • Operational barriers and concerns
      • Virtualization technologies
    • The six critical success factors a performance tester needs to know
      • Anatomy if a virtual system
      • Principles of virtual workload modeling
      • Shortcomings and key bottlenecks of virtual systems
      • System resources: what to measure and how
      • Analyzing and presenting compelling results
    • Case Study
      • How a provider of insurance market intelligence went virtual, and how they proved performance
  • State of Adoption of Server Virtualization
  • Operational Challenges / Barriers
  • Server Virtualization Technologies
    • Five key technologies
    The goals: Enable more VMs on a single chip, minimize cpu overhead for IO, and enable monitoring & management Technology Example 1 Example 2 Differentiators Virtualization Software WMware’s vSphere/ESXi Microsoft’s Hyper-V (W2008 Server)
    • Type 1 Native OS hypervisor vs. Type 2 “guest OS”
    • Broad OS support
    Processor architecture Intel Xeon 7500 8-core AMD Opteron 6000 12-core
    • Core density
    • Threads, DIMMs per socket
    Disk IO Interface iSCSI FCoE
    • Protocol to minimize cpu overhead, making network-attached storage perform like attached storage
    • Standard Ethernet cabling vs. Fibre
    Network Interface Broadcom iSoE Intel I/OAT
    • TCP headers processed on NIC
    • Multiple NICs with “Teaming”
    Management Utilities VMware’s vCenter MS Virtual Machine Manager
    • Model virtual workload
    • Monitor host and VM resources
  • Six Critical Factors for Testers
    • Anatomy of a Virtual System
    • Mapping workloads from dedicated to virtual
    • Key bottlenecks of virtual systems
    • Effective comparative testing techniques
    • System resources to measure
    • Results analysis and presentation
  • 1 - Anatomy of a Virtual System
    • “ The abstraction of computer resources” (Wikipedia)
    • Type 1: Native OS, runs as hypervisor on the host, provides peripheral drivers
    • Type 2: Guest OS that runs under main host OS and relies on host OS drivers
    • VMs with HW resources allocated by VM software
    • VM software running as native OS (“ Hypervisor”)
    • Hardware (multi-cpu, multi-core, multi-threaded, lots of memory, multi-NIC)
    • Network Attached Storage (NAS) or Storage Area Network (NAS) accessed over standard cabling & cpu-optimized protocols
    Type 1 Virtualized Server
  • 2 - Virtual Workload Modeling
    • How quantify the dedicated server workloads?
    • Host of what configuration required to handle the total workload?
    • How many VMs are needed to handle the workload?
    • Which workloads mapped to which VMs?
    4 Key Questions: Web App Files DB Hardware
  • 2a - VMware Capacity Planner
    • Monitor resources on each tier for a week (cpu, memory, disk & network IO)
    • Enter configuration and role of each server
    • Run the modeling tool, analyze the proposed host & VM mapping
    • Build prototype and test
  • 3 - VM Bottlenecks & Vulnerabilities
    • #1 limiting resource: Disk IO
      • Thus high IO servers (DB) not good candidates for virtualization
    • # 1 vulnerability: Redundancy / load balancing
      • Like services should be distributed on more than one VM to ensure that system can continue to operate if a VM fails
    App servers on different hosts
  • 4 - Performance Testing Techniques
    • Test in parallel on dedicated and VM environments
      • Eliminates time-of-day differences due to loads on shared components
    • Test a light workload first
      • Establish a baseline for both systems at low/no contention
    • Test a 50% workload
      • Compare performance scalability under reasonable load, without potentially overwhelming the DB
    • Test fail-over of VMs
      • Validate system recovery / availability /lost transactions if a virtual web / app / file server fails
  • 5 - System Resources to Measure
    • VM resources
      • Cpu, memory, disk IO, network IO (Unix: Load Average)
      • Web server: queued requests
      • JVM: Heap utilization
    • Host resources
      • Cpu, memory, disk IO (% disk busy and IOPS), network IO
      • DB server: lock waits, deadlocks
    • Monitoring utilities
      • Windows: perfmon
      • Unix/Linux: nmon, sar
  • 5a - Monitoring Host Resources VCenter monitoring host resources kry, in addition to monitoring resources on individual VMs, to id IO path bottlenecks
  • 6 – Presenting Comparative Results Business process end-end response over load on same graph Overall response profiles btwn dedicated and virtual platforms similar
  • 6a – Comparative Page Times Differences btwn dedicated and Virtual page response times over load Average difference: Virtual 7% faster on average Max difference: “a wash” (Virtual 1% faster on average)
  • 6 b – Comparative CPU VM utilizations higher than on dedicated servers, but still low
  • 6c – Comparative Bandwidth Bandwidth usage similar in magnitude, profile
  • Case Study: SAMPLE
    • Consolidated 18 dedicated servers into 3 virtual hosts
    • Reduced rack space, power & cooling footprint and maintenance costs
    • Performance-tested and showed improved performance and increased efficiency
    • Preeminent provider of market intelligence to the commercial insurance industry
      • Corporate, legal, financial and regulatory data for hundreds of thousands of public and private companies
      • Competitive information for underwriters, brokers and risk managers
      • Analytic tools for benchmarking and comparative analysis
    • HQ in NYC
    Solution Business Challenge
    • Needed to contain operating costs while assuring their customers 24/7 availability and performance
    • Have 18 dedicated, underutilized servers in a managed hosting Tier 4 data center
  • Environment Migration 18 dedicated, underutilized servers… … migrated to 3 Virtual Hosts… … with proven performance & reliability
  • Customer Benefits
    • Test results enabled him to gain management confidence that the new solution was sound
    • Saved several $K/month in environment facility and hardware maintenance costs
    • Maintained performance and reliability
  • In Conclusion
      • As testers, we need to stay ahead of the technologies curve to continue adding value to our organizations
      • Virtualized systems are becoming the norm
      • While the fundamentals are the same, performance testing them require new understanding and know-how