Learn MICRONAUT with Real Code Examples

REST API for e-commerce service

Reactive streaming service

Serverless function deployed to AWS Lambda

IoT device backend with low memory footprint

Microservice using service discovery and config server

Check dependency injection issues at compile-time

Ensure Micronaut CLI and JDK versions match

Monitor memory usage for large microservices

Handle reactive streams properly to avoid backpressure

Check configuration environment profiles

Unit test services with JUnit/Spock

Test controllers with Micronaut embedded server

Mock dependencies using `@MockBean`

Test reactive streams with StepVerifier

Automate with CI/CD pipelines

Deploy JVM app to cloud providers

Package as Docker container

Compile to native image with GraalVM

Deploy serverless functions (AWS Lambda, GCP Cloud Functions)

Use Kubernetes or Nomad for orchestration

Micronaut CLI

Gradle / Maven

JUnit / Spock for testing

Docker for containerization

IDE support (IntelliJ, VS Code)

Databases (PostgreSQL, MongoDB, MySQL) via JDBC or reactive drivers

Messaging (Kafka, RabbitMQ)

Cloud-native tools (Kubernetes, AWS, GCP)

Monitoring (Micrometer, Prometheus, Grafana)

Security and authentication libraries

Use compile-time DI for faster startup

Leverage reactive programming for high concurrency

Organize Controllers and Services modularly

Automate tests and deployments

Integrate monitoring early in development

Mastering compile-time dependency injection

Handling reactive streams and backpressure

Optimizing startup time and memory usage

Integrating with cloud-native environments

Configuring security and distributed services