Keploy is an automated testing platform that leverages kernel-level traffic interception to generate and maintain regression test suites for microservices. By capturing live network traffic and system calls via eBPF, the platform automatically creates deterministic test cases and mocks external dependencies without requiring manual code instrumentation. This approach allows developers to validate application behavior and API contracts by replaying production-like traffic in isolated environments.
The platform distinguishes itself through its use of machine learning to perform test maintenance, including self-healing for brittle tests and the dynamic masking of volatile data like timestamps. It provides comprehensive service virtualization, automatically generating mocks for databases, message queues, and third-party APIs to ensure that tests remain consistent and reproducible across different development and staging environments.
Beyond core regression testing, the system integrates directly into CI/CD pipelines to enforce quality gates, blocking deployments that exhibit schema drift, performance regressions, or coverage gaps. It also includes observability tools that surface actionable insights, such as API reliability metrics and schema coverage analysis, to help teams identify and prioritize potential issues within their distributed systems.
