Modern cloud-native applications generate vast amounts of telemetry data through logging, tracing, and monitoring. What if we could leverage this data to automate and optimize testing? This session introduces an observability-driven testing approach using Grafana (Tempo, Loki, Prometheus), OpenTelemetry, and Keploy, where tracing and logging data are utilized to auto-generate test cases and mocks for APIs and microservices.

We will demonstrate how developers can extract API interactions from Grafana Tempo’s distributed traces and Loki’s logs to reconstruct real-world API calls. By integrating this telemetry with Keploy, we can auto-generate test cases, reducing manual effort while improving test coverage. Additionally, we will explore how Prometheus metrics can be used to validate performance trends and detect regressions over time.