speaks with
summary
Micronaut uses AOT annotation processors to move DI, AOP and query parsing into compile time, eliminating reflection so apps start faster and use far less memory. Typical runnable jars drop to about 10MB uber-jar instead of 50MB, and integrations include AWS Lambda (custom runtime) plus GraalVM native-image support for even faster cold starts. IDEs work via standard annotation-processing tooling, debugging stack traces shrink, and Micronaut Data compiles repository methods into SQL at build time.
AI-written summary · about
chapters (12)
- 0:00Introduction
- 1:41What is Mike Renaud
- 3:20Smaller footprint
- 5:38Lambda integration
- 7:51Annotations
- 9:52MicroProfile
- 10:44Java Extra Validation
- 12:44Tooling Experience
- 13:57Debugging Experience
- 15:41Smaller Runtime
- 18:31Future Plans
- 20:24Help Wanted
related talks
48mMicronaut Deep Dive
57mIntroduction to Micronaut 2.0
32mUnleash the power of your applications with Micronaut and GraalVM
47mIntroduction to Micronaut Lightweight Microservices with Ahead of Time Compilation
45mIntruduction to Micronaut 2.0
46mUnleash the power of your applications with Micronaut and GraalVM
50mMicronaut State of the Union
55mUnleash the power of your applications with Micronaut and GraalVM
