Running Java in Docker and Kubernetes: Containerizing JVM Applications

Running Java applications inside containers requires more than just wrapping your code in a default Dockerfile. To prevent unexpected out-of-memory crashes and CPU throttling, you need to understand how the Java Virtual Machine interacts with container boundaries. This text-based course guides you from the fundamental concepts of containerization to practical JVM tuning strategies, helping you transition from writing standard code to deploying highly optimized, production-ready Java applications on Kubernetes. What you'll learn: - Understand how Docker and Kubernetes manage resources using Linux namespaces and cgroups - Configure JVM ergonomics, memory limits, and CPU allocations to prevent container crashes - Build highly optimized, minimal container images using multi-stage builds and distroless base images - Optimize startup times and memory footprints using Class Data Sharing (CDS) and GraalVM native compilation - Analyze and debug containerized JVM performance within Kubernetes environments The course begins with foundational concepts of containerization and JVM architecture before moving into practical configuration techniques for resource allocation and image optimization. You will read through detailed explanations and structured written exercises designed to build real-world deployment skills. This course is designed for Java developers and system administrators who are new to containerizing Java workloads, starting with the absolute basics and requiring no prior Docker or Kubernetes experience. Start reading today to master the art of running Java applications in modern containerized environments.