There are several key trade-offs to consider while using Docker and Kubernetes with Java/Jakarta EE applications. Examples include:
- Whether to use thin WARs, fat JARs, or hollow uber-JARs to effectively work with Docker repositories, layering, and caching.
- Whether to deploy applications within images, through exposed admin ports or as autodeployed mounted external volumes.
- How Docker networking and Kubernetes cluster deployments align with application server administration, clustering, auto-discovery, and load-balancing.
- How the CI/CD pipeline of your application can be adapted to Docker and Kubernetes.
This hands-on lab walks through each of these considerations in detail.