28 Apr 2026
DZone Java Zone
Java Backend Development in the Era of Kubernetes and Docker
We moved our monolithic Java application to Kubernetes last year. The promise was scalability and resilience. The reality was a series of silent failures during deployments. Users reported dropped connections every time we pushed a new version. Our monitoring showed zero downtime, but the customer experience told a different story. Requests vanished into the void during rolling updates. We spent weeks chasing network ghosts before finding the root cause. The issue was not the network. It was how our Java application handled termination signals.
In this article, I will share how we adapted our Java backend for container orchestration. I will explain the specific lifecycle issues we encountered. I will detail the configuration changes that solved the dropout problem. This is not a guide on writing Dockerfiles. It is a record of the operational friction we faced when Java met Kubernetes. Building cloud-native Java apps requires more than just packaging a JAR. It requires understanding how the orchestration layer interacts with the JVM.
28 Apr 2026 4:00pm GMT
Java in a Container: Efficient Development and Deployment With Docker
There is a specific kind of frustration reserved for Java developers who have just containerized their application. You spend hours optimizing your Spring Boot microservice, ensuring your logic is sound and that your tests pass. You wrap it in a Docker container, push it to the registry, and deploy. Then the reality sets in. Your image is 800MB, your startup time is 40 seconds, and during load testing, the container is killed silently by the OS.
In my recent work, migrating a monolithic Java application to a microservices architecture, we faced this exact triad of issues. We were treating Docker containers like lightweight virtual machines and ignoring the nuances of how the JVM interacts with container boundaries. The result was bloated infrastructure costs, slow CI/CD pipelines, and unstable production pods.
28 Apr 2026 2:00pm GMT
24 Apr 2026
DZone Java Zone
Preventing Prompt Injection by Design: A Structural Approach in Java
The Problem With How We're Sending Data to AI Models
Most Java applications that integrate with AI models do something like this:
String userInput = request.getParameter("topic");
String prompt = "Summarize the following topic for a financial analyst: " + userInput;24 Apr 2026 8:00pm GMT