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ybezsonov merged 1 commit into from
Nov 11, 2026
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docs: Add the Java Performance Optimization on Amazon EKS workshop to… #965

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Expand Up @@ -37,6 +37,18 @@ The workshop includes an AI-driven performance analysis module that uses Amazon
- **Observability** — CloudWatch Application Signals, OpenTelemetry instrumentation, service maps, logs, metrics, and traces
- **Graviton/ARM64** — build multi-architecture images and deploy to AWS Graviton for up to 40% better price-performance

## Java Performance Optimization on Amazon EKS

**[catalog.workshops.aws/java-performance](https://catalog.workshops.aws/java-performance)**

A one-hour, expert-level (L400) builders' session. You take a Spring Boot service on Amazon EKS from default sizes and JVM settings to one that passes a checklist of cloud-native practices. Claude Code on Amazon Bedrock uses skills and a performance sensor over MCP to read profiles, metrics and thread dumps, and proposes each change for you to review and roll out.

- **Measure the baseline**: profile the running service and score it against the checklist
- **Improve the manifest**: size memory and CPU from measurements, and start faster without changing the image
- **Improve the image**: shorten startup with an AOT cache, then a CRaC snapshot
- **Improve the code**: find what adds latency to requests under load, and size again
- **Enforce the practices**: turn checklist rules into a Kyverno admission policy

## Building Java AI Agents with Spring AI

**[catalog.workshops.aws/java-spring-ai-agents](https://catalog.workshops.aws/java-spring-ai-agents)**
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