Soa Performance Is A Critical Success Factor From AppLabs

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    Soa Performance Is A Critical Success Factor From AppLabs - Presentation Transcript

    1.  
    2. PDQ, SOA, SLA SOA Performance is a Critical Success Factor Ralph Decker Head of Performance Serviceline 7 th May 2008
    3. Agenda
      • What is SOA
      • Service Level Agreements (SLA’s) for SOA
      • Key to SOA Performance Testing
      • SOA Performance Testing Challenges
      • Overcoming Challenges
      • Methodology and Approach
        • Discovery
        • Test Planning
        • Automation and Tools
        • Test Execution
        • Monitoring
        • Measurement and Analysis
      • Summary
    4. What is SOA
      • Service Oriented Architecture
        • Architectural paradigm (pattern/model)
        • Variety of heterogeneous systems (dissimilar)
        • Different locations and owners
        • Web Services?
      • SOA provides benefits in four basic categories:
        • Reduces expensive integration
        • Allows for more asset reuse
        • Increased business agility
        • Reduces business risk
    5. SLAs for SOA
      • A service-level agreement (SLA) is a formal contract between a service provider and a consumer
        • Service availability
        • Performance
        • Traffic levels
        • Messages / queries per hour / minute / second
        • Response time
        • Rejected transactions
        • Errors
      Poor Response Time Missed SLA Noncompliance with industry and government regulations
    6. Key to SOA Performance Testing
      • The key to successful performance testing in general require:
        • Understanding the application and the infrastructure
        • Understanding the user/stakeholders of the application
        • Generate accurate anticipated volumes of traffic
        • Investigate the impact of the traffic on the application and systems under test
      • SOA Adds Complexity to Performance Testing
        • Wide range of technologies
        • Many different applications and usages
        • Different hardware / infrastructure
        • Knowledge of the application and the technologies
        • Replicating traffic patterns
    7. SOA Performance Testing Challenges
      • SOA being a distributed environment, finding right skill sets who possess in-depth knowledge of involved platforms, applications, databases and any middleware.
      • Assign appropriately skilled team of performance engineers to the test effort with knowledge of the systems to monitor and analyze the impact of testing
      • An in-depth understanding of the service is required for adequate testing and evaluation
      • A significant increase in testing activities and test assets (performance testing suites that include sophisticated harnesses and stubs) will be required at a service level
      • Predicting the future usage of services to assist with performance, load, stress, scalability
      • Test strategy differs from traditional testing and generally has to encompass many internal political factors e.g. ownership and responsibility
    8. Overcoming Challenges
      • To simplify performance testing for SOA applications break them down into the smallest components possible:
        • Individual Service
        • Systems
        • Databases
        • Technology
        • Protocols
        • Messaging
        • Functionality
      • Evaluate and analyze the performance of individual services based on components
    9. Methodology and Approach
      • Discovery: Narrow the testing event to the smallest element/service and understand the transaction, application service and the environment/systems
      • Test Plan: Document the testing approach and the expected deliverables
      • Automation: Develop automation to replicate transactions
      • Test Execution: Conduct testing generating traffic increasing the traffic to pre-defined levels
      • Monitoring: Monitor the response time for the requests sent under varying traffic levels and the impact of the traffic on the application and infrastructure under varying traffic levels
      • Measurement and Analysis: Analyze the traffic patters to with the traffic/load
    10. Discovery
      • Identify the services and components to be included as part of the testing efforts
      • Identify lower level and/or external services called by the services under test
      • Identify the infrastructure hosting the services to be tested
      • Identify the messages sent to and received from the service that will be automated for generating load
      • Narrow the “functionality” to a subset that will be used for the testing
      • Define data that will be used and how it will be validated
      • Define pass/fail criteria (usually response time or transactions per second)
      • Identify skills required for the testing effort
      • Determine SLA or load/transactions for the testing
      • Prioritize testing
    11. Test Planning
      • Test Plan - Document the Following:
        • Services and sub services
        • Infrastructure
        • Transaction
        • Automation
        • Data
        • SLA requirements (load/transactions)
        • Pass / fail criteria
    12. Automation and Tools
      • Automation
        • Subset of the functionality of the service
        • Prepare data and mechanism to validate
        • Tools to generate the transaction
      • Proprietary SOA
        • Custom Test Harness
      • Enterprise Tools
        • Loadrunner 9.1
        • Parasoft SOAtest
        • Green Hat GH Tester
        • Borland SilkPerformer SOA
      • OpenSource Tools
    13. Test Execution
      • Load Testing (up to defined SLA transactions per second or other)
      • Stress Testing (up to service failure)
      • Volume Testing (introducing large amounts of data into system)
      • Reliability Testing (high levels of load over long periods of time)
    14. Monitoring
      • Load Size (transactions per second/other)
      • Throughput
      • Response Time
      • Hardware
      • OS
      • Disk
      • Web (for Web Services)
      • Application specific counters
      • Database
    15. Measurement and Analysis
      • Size of message
      • Response time
      • Throughput under load
      • CPU memory disk
      • Application specific counters
    16. Summary
      • NEED 6 BULLET SUMMARY HERE
    17. Questions
      • Thank You
    18.  

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