Dapr case study: Legentic
summary
Legentic runs a microservice pipeline on AWS using Python + FastAPI, with Dapr providing pub/sub and observability; local dev uses Redis locally / RabbitMQ prod by flipping one YAML line, and dapr run injects sidecars so breakpoints hit across services. Dapr appends trace headers and exports to Zipkin tracing, revealing retries, timeouts and an unexpected extra handler call; current S3 access uses the SDK but team plans Dapr bindings and unified logs to Elasticsearch. The setup works and already cuts onboarding friction.
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chapters (6)
- 0:00Company overview and flow
- 2:26Architecture and Dapper usage
- 9:31Live code demonstration
- 20:06Observability and diagnostics
- 26:13Configurations and summary
- 30:01Workshop preparation
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