How to Do Microservice Observability with OpenSearch
summary
Live demo of an e‑commerce microservice pipeline shows instrumentation with the OpenTelemetry collector, log forwarding via FluentBit and Data Prepper, and storage/visualization in OpenSearch. Real‑time trace groups and a service map let operators click a trace ID, jump to correlated logs, and find a checkout/payment failing with a 503 error. App availability is tunable (examples use 100–300 ms thresholds), and built notebooks assemble dashboards and traces into reports exportable to PDF. Workshop code and hands‑on sessions are provided.
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chapters (12)
- 0:00Microservice observability intro
- 7:55Why microservices need observability
- 10:03Observability tooling landscape
- 13:14OpenTelemetry data flow
- 15:46OpenSearch observability features
- 18:31Demo architecture & trace flow
- 19:35Trace analytics in OpenSearch
- 21:19Event analytics & log correlation
- 24:52App availability monitoring
- 27:01Performance insights panels
- 28:46Root cause analysis notebooks
- 31:58Next steps & resources
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