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Lighter AWS Lambda Power Tools For Java
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Manage episode 517687139 series 2469611
Discussion about refactoring AWS Lambda Power Tools to remove AspectJ dependency and introduce functional interfaces, comparison between AspectJ and lombok for code generation, benefits of offloading work to build time for AWS Lambda performance, using quarkus build-time optimizations with Jandex and gizmo utilities, replacing slf4j with Java System Logger to reduce dependencies, implementing log buffering feature that flushes debug logs only on errors for proactive debugging, thread safety considerations in multi-threaded AWS Lambda executions, using Embedded Metrics Format (EMF) for CloudWatch metrics without prometheus, caching Parameter Store values to avoid throttling limits, structured logging benefits for nested JSON queries in CloudWatch Insights, detecting cold starts without reflection using class initialization tricks, future support for Java 25 and modern Java features like Scoped Values, Maven and Gradle plugin development for annotation processing, custom serializers for Kafka and Avro messages, potential java.util.json support for lightweight JSON parsing, middleware chain pattern implementation for Power Tools utilities, differences between reactive and proactive debugging approaches, cost optimization through EMF metrics instead of Prometheus scraping, BCE (Boundary Control Entity) architecture pattern for business metrics, performance benefits of removing reflection from metrics utility, CDK integration considerations for generated classes, request stream handlers as reflection-free alternatives
Philipp Page on twitter: @PagePhilipp
375 episodes
Fetch error
Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on November 28, 2025 16:48 ()
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 517687139 series 2469611
Discussion about refactoring AWS Lambda Power Tools to remove AspectJ dependency and introduce functional interfaces, comparison between AspectJ and lombok for code generation, benefits of offloading work to build time for AWS Lambda performance, using quarkus build-time optimizations with Jandex and gizmo utilities, replacing slf4j with Java System Logger to reduce dependencies, implementing log buffering feature that flushes debug logs only on errors for proactive debugging, thread safety considerations in multi-threaded AWS Lambda executions, using Embedded Metrics Format (EMF) for CloudWatch metrics without prometheus, caching Parameter Store values to avoid throttling limits, structured logging benefits for nested JSON queries in CloudWatch Insights, detecting cold starts without reflection using class initialization tricks, future support for Java 25 and modern Java features like Scoped Values, Maven and Gradle plugin development for annotation processing, custom serializers for Kafka and Avro messages, potential java.util.json support for lightweight JSON parsing, middleware chain pattern implementation for Power Tools utilities, differences between reactive and proactive debugging approaches, cost optimization through EMF metrics instead of Prometheus scraping, BCE (Boundary Control Entity) architecture pattern for business metrics, performance benefits of removing reflection from metrics utility, CDK integration considerations for generated classes, request stream handlers as reflection-free alternatives
Philipp Page on twitter: @PagePhilipp
375 episodes
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