Lessons in Porting PiggyMetrics Spring Boot to MicroProfile
summary
A Spring Boot PiggyMetrics app is ported to MicroProfile using Config, Metrics, Health, Fault Tolerance, OpenTracing and JWT propagation with Jakarta CDI, JAX-RS and JSON‑B, producing a running proof‑of‑concept on AKS in one sprint POC. Runtime is Open Liberty with containerized images, Prometheus scraping and Prometheus & Grafana dashboards, and distributed traces shown in Zipkin tracing. Resulting build is smaller, uses fewer lines of glue code, starts faster with OpenJ9, and demonstrates full logging, metrics and tracing interoperable in a Kubernetes deployment.
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chapters (16)
- 0:00Introduction to PiggyMetrics
- 3:12Demo of Spring Boot version
- 6:23Key differences Spring Boot vs MicroProfile
- 16:23Migration path for account service
- 23:25Configuration and security in MicroProfile
- 24:32Data access with JNoSQL
- 27:19Metrics and health checks
- 29:23Resilience with MicroProfile Fault Tolerance
- 32:16API documentation with OpenAPI
- 33:00Distributed tracing with OpenTracing
- 35:10Proof of concept results
- 36:56Demo on Azure Kubernetes Service
- 41:40Technology stack comparison
- 44:11Takeaways and feedback
- 47:06References and resources
- 51:21Q&A session
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