The deploy script finishes, the logs scroll to a stop, and you wait. Will the system hold under real conditions? Integration testing after a self-hosted deployment is the only way to know.
Self-hosted environments bring full control—and full responsibility. Code that passes unit tests can still fail when services talk to each other in production-like conditions. Integration testing verifies that APIs, databases, queues, and background jobs work together, with the same configuration, security, and scaling patterns that run in your actual deployment.
Start by matching your integration test environment to your self-hosted stack. Use the same container images, runtime versions, and network settings. Spin up dependencies—databases, caches, and external services—locally or in ephemeral staging. Avoid mocking external systems unless they are impossible to run; real communication reveals latency, serialization, and authentication issues.
Automate deployment in the testing workflow. Every change should trigger a pipeline that builds, deploys, seeds data, runs integration tests, and tears down the environment. This ensures that passing results mean your application can survive a real self-hosted rollout.