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Will performance be consistent over time Are there slowly growing problems that have not yet been detected Is there external interference that was not accounted for Which way is performance trending over time To what should I compare future tests How many users can the application handle before undesirable behavior occurs when the application is subjected to a particular workload How much data can my database/file server handle Are the network components adequate Is this build/configuration ready for additional performance testing What type of performance testing should I conduct next Does this build exhibit better or worse performance than the last one What happens if the production load exceeds the anticipated peak load What kinds of failures should we plan for What indicators should we look for What happens if the production load exceeds the anticipated load What kinds of failures should we plan for What indicators should we look for in order to intervene prior to failure Is this segment of code reasonably efficient Did I stay within my performance budgets Is this code performing as anticipated under load Does the application meet the goals and requirements Is this version faster or slower than the last one Will I be in violation of my contract/Service Level Agreement (SLA) if I release
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Risks
Capacity
Performance test types
Component EnduRance Investigation Load Smoke Spike Stress Unit Validation
Speed-related risks
User satisfaction Synchronicity Service Level Agreement (SLA) violation Response time trend Configuration Consistency
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X X X X X X X X X X X X X X X
X X X X X X X X X X X X
X X X
X X X X X X X X X X X
Scalability-related risks Capacity X Volume X
SLA violation Optimization Efficiency Future growth Resource consumption Hardware / environment Service Level Agreement (SLA) violation Reliability Robustness Hardware / environment Failure mode Slow leak Service Level Agreement (SLA) violation Recovery Data accuracy and security Interfaces
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X X X X X X X X X X
X X X X
Stability-related risks X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X
X X X
X X X X
X X X X
Speed-Related Risks
Speed-related risks are not confined to end-user satisfaction, although that is what most people think of first. Speed is also a factor in certain business- and data-related risks. Some of the most common speed-related risks that performance testing can address include: Is the application fast enough to satisfy end users Is the business able to process and utilize data collected by the application before that data becomes outdated (For example, end-of-month reports are due within 24 hours
of the close of business on the last day of the month, but it takes the application 48 hours to process the data.) Is the application capable of presenting the most current information (e.g., stock quotes) to its users Is a Web Service responding within the maximum expected response time before an error is thrown
Speed-Related Risk-Mitigation Strategies
The following strategies are valuable in mitigating speed-related risks: Ensure that your performance requirements and goals represent the needs and desires of your users, not someone else s. Compare your speed measurements against previous versions and competing applications. Design load tests that replicate actual workload at both normal and anticipated peak times. Conduct performance testing with data types, distributions, and volumes similar to those used in business operations during actual production (e.g., number of products, orders in pending status, size of user base). You can allow data to accumulate in databases and file servers, or additionally create the data volume, before load test execution. Use performance test results to help stakeholders make informed architecture and business decisions. Solicit representative feedback about users satisfaction with the system while it is under peak expected load. Include time-critical transactions in your performance tests. Ensure that at least some of your performance tests are conducted while periodic system processes are executing (e.g., downloading virus-definition updates, or during weekly backups). Measure speed under various conditions, load levels, and scenario mixes. (Users value consistent speed.) Validate that all of the correct data was displayed and saved during your performance test. (For example, a user updates information, but the confirmation screen still displays the old information because the transaction has not completed writing to the database.)
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