<ul data-eligibleForWebStory="true"><li>The article discusses optimization strategies for cold and warm starts in Quarkus 3 applications on AWS Lambda.</li><li>Previous articles in the series covered running and optimizing Quarkus 3 applications on AWS Lambda with managed Java 21 runtime and GraalVM Native Image.</li><li>Performance measurements included Lambda functions using 1024 MB memory, specific Java compilation options, x86_64 architecture, and default Apache HTTP Client.</li><li>Optimization techniques for additional Lambda performance improvements are introduced in this article.</li><li>Suggestions include trying different memory settings, using Lambda arm64 architecture, and exploring various synchronous and asynchronous HTTP clients.</li><li>Different Java compilation options and excluding unused dependencies can also impact cold and warm start times.</li><li>The article emphasizes the importance of measuring performance improvements and potential optimization strategies for Quarkus 3 applications on AWS Lambda.</li></ul>

Quarkus 3 application on AWS Lambda- Part 6 Optimization strategies for the cold and warm starts

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