STAREAST Virtual+ 2020 - Performance Testing
Thursday, May 7
Load Testing High-Traffic Services: Strategy to Execution
PreviewSolving scaling issues with an application that has high traffic can be hard if load testing was not done (or was done without adequate planning). To ensure proper load testing of an application, it needs to be broken down into stages: 1) Analysis: Document how your system is currently behaving in production, including its system metrics such as average load, CPU, latency, and traffic, in order to pre-define the application's service-level agreement. 2) Test strategy: Test scripts to match production use case patterns, and choose a load testing framework. 3) Testing and...
Reducing the Scope of Load Test Analysis
PreviewLoad testing execution produces a huge amount of data. Investigation and analysis are time-consuming, and numbers tend to hide important information about issues and trends. using machine learning is a good way to solve data issues by giving meaningful insights about what happened during test execution. Julio Cesar de Lima Costa will show you how to use K-means clustering, a machine learning algorithm, to reduce almost 300,000 records to fewer than 1,000 and still get good insights into load testing results. He will explain K-means clustering, detail what use cases and applications...
End to End Performance Testing - Automated!
PreviewEnd to end tests used to be the de facto standard in the performance testing world. However, with the advent of microservices that evolve rapidly, it has become more and more difficult to maintain end to end performance test suites. As a result, teams have gravitated towards having isolated micro-service level performance tests that are easier to maintain. This, however, leaves a gap in achieving the transaction mix and overall system load that E2E performance tests are best suited to provide. So when faced with this dilemma, Kaushal and his team took on an ambitious goal to...