Automated Performance Testing Architecture Using Alibaba Cloud PTS

This article discusses the necessity of performance testing and the evolution from manual to automated testing processes. It highlights the challenges of early testing methods, including inaccurate capacity testing, time-consuming coordination, and resource waste. The solution involves integrating Alibaba Cloud PTS (Performance Testing Service) to address limitations in testing environments, using internal VPC K8s clusters for dynamic pod scaling, combining CI/CD pipelines with GitLab for code deployment, and leveraging cloud API for cost optimization.

The article provides a comprehensive overview of Alibaba Cloud PTS, explaining it as a performance testing tool that supports on-demand testing with millions of concurrent users and tens of millions of TPS capabilities. It details the four-step process for using PTS: configuring test scenarios, setting up pressure environments, starting tests, and viewing reports. The tool offers features like scenario orchestration, API debugging, traffic customization, and recording, helping businesses improve system performance and stability.

Practical guidance is provided on creating test scenarios with APIs and serial links, configuring pressure sources (public internet or VPC intranet), and monitoring real-time test metrics. The article emphasizes the importance of verifying API connectivity before testing and provides insights into interpreting test reports for performance analysis.