Automated Azure Load Testing with GitHub Actions

Performance issues in production can ruin the user experience and damage trust, yet manual load testing is time-consuming and difficult to scale. Automating these tests within your deployment pipeline ensures your application can handle real-world traffic with every single code change. This text-based course guides you through setting up automated performance testing by combining Azure Load Testing with GitHub Actions workflow automation. What you'll learn: - Understand the core concepts of cloud-based load testing, virtual users, and key performance metrics. - Configure Azure Load Testing resources and define test scenarios using declarative configuration files. - Build GitHub Actions workflows to trigger performance tests automatically during the deployment process. - Implement secure, passwordless authentication between GitHub and Azure using modern identity federation. - Define clear pass or fail criteria within your pipeline to establish automated quality gates. - Analyze test run telemetry and performance regressions through structured logs and reports. The course begins with foundational definitions of load testing terminology and Azure resources before moving into pipeline integration. You will read through practical examples of workflow files, security configurations, and test parameters that you can apply immediately to your own projects. This course is designed for beginner DevOps enthusiasts, QA professionals, and developers looking to add automated performance testing to their skill set, with no advanced cloud testing experience required. Start reading to build reliable, automated performance pipelines today.