Java and Kubernetes (K8) Training in Bangkok, Thailand

This hands-on training is designed to help developers and DevOps teams build, containerize, and deploy Java applications to Kubernetes. It covers modern Java application development techniques alongside practical Kubernetes deployment strategies, resource management, configuration handling, and observability.

Java Application Development and Containerization

Java Application Design and Build Process

  Structuring a modern Java project

  Working with Maven or Gradle

  Creating a simple RESTful API with Spring Boot

  Building runnable jar files for deployment

Introduction to Containerization with Docker

  Why containerize Java applications

  Writing Dockerfiles for Java apps

  Optimizing image size and startup time

  Building and running Java containers locally

Managing Application Configuration

  Using environment variables and application properties

  Profiles and externalized configuration in Spring Boot

  Secure secrets handling

Deploying Java Applications on Kubernetes

Kubernetes Fundamentals for Java Developers

  Overview of Kubernetes architecture

  Pods, Deployments, Services, and Namespaces

  kubectl commands and YAML resources

  Understanding cluster behavior

Deploying Java Containers to Kubernetes

  Writing Kubernetes manifests for Java apps

  Exposing apps via Services and Ingress

  Configuring environment variables, ports, and resource requests

Configuration and Secrets Management

  Creating and mounting ConfigMaps

  Managing secrets in Spring Boot via Kubernetes

  Environment variable injection and volume mounts

Health Checks and Lifecycle Hooks

  Readiness and liveness probes for Java containers

  Graceful shutdown and preStop hooks

  Handling failed pods and restarts

Scaling, Monitoring, and Updating Java Apps on Kubernetes

Scaling and Resource Management

  Horizontal Pod Autoscaler for Java workloads

  Setting CPU/memory limits and requests

  Resource tuning for JVM inside containers

Observability and Logging

  Accessing logs from Java pods

  Exporting metrics with Prometheus and Micrometer

  Integrating with Grafana dashboards

Performing Rolling Updates and Rollbacks

  Strategy configuration in deployments

  Updating application version with zero downtime

  Rollback handling and version control

Troubleshooting and Debugging in Kubernetes

  Debugging failed pods and crash loops

  kubectl exec and log inspection

  Common JVM and memory issues in containers

Hands-on Exercises

Summary and Conclusion