Optimize Performance Engineering with an Integrated Docker Framework

When an e-commerce platform is going through a digital and cloud transformation, the DevOps and performance engineering team has various responsibilities: prepare the workload, execute tests, measure and analyze performance KPIs, baseline, and store performance-related data. Current tools and process often impact the speed and quality of delivery, as most of the steps require manual intervention. Join Safi Mohamed and Aftab Alam as they walk through how they built a Docker-based integrated performance engineering framework using AWS, JMeter, Docker, Jenkins, Python, and Splunk to automate the performance engineering process. They will show how this framework automates test execution, data collection, analysis, and communicating the results with the team through HipChat as part of the build pipeline. Finally, Safi will cover special considerations and best practices adopted while building the performance engineering framework and wrap up the session with future enhancements they have planned. You'll learn how this framework can help you reduce performance engineering effort and time drastically in the release pipeline.