programming

26 Mar 2026

DZone Java Zone

Taming the JVM Latency Monster

An Architect's Guide to 100GB+ Heaps in the Era of Agency

In the "Chat Phase" of AI, we could afford a few seconds of lag while a model hallucinated a response. But as we transition into the Integration Renaissance - an era defined by autonomous agents that must Plan -> Execute -> Reflect - latency is no longer just a performance metric; it is a governance failure.

When your autonomous agent mesh is responsible for settling a €5M intercompany invoice or triggering a supply chain move, a multi-second "Stop-the-World" (STW) garbage collection (GC) pause doesn't just slow down the application; it breaks the deterministic orchestration required for enterprise trust. For an integrator operating on modern Java virtual machines (JVMs), the challenge is clear: how do we manage mountains of data without the latency spikes that torpedo agentic workflows? The answer lies in the current triumvirate of advanced OpenJDK garbage collectors: G1, Shenandoah, and ZGC.

26 Mar 2026 8:00pm GMT

Automating Maven Dependency Upgrades Using AI

Enterprise Java applications do not often break due to business logic. The reason they break is that dependency ecosystems evolve all the time. Manual maintenance in most large systems consists of hundreds of third-party libraries, and small upgrades occur regularly as a result of security patches, code corrections, or vendor advice. The problem is not recognizing outdated libraries. Tools such as OWASP Dependency-Check, Snyk, and Black Duck already do it well.

The problem is a wastage of the developer's time in repetitive actions: checking Maven Central for the latest versions, validating whether the upgrade is safe, reading release notes, guessing what test cases should be executed, and raising a pull request with meaningful documentation.

26 Mar 2026 7:00pm GMT

Data Driven API Testing in Java With REST Assured and TestNG: Part 4

APIs are at the heart of almost every application, and even small issues can have a big impact. Data-driven API testing with JSON files using REST Assured and TestNG makes it easier to validate multiple scenarios without rewriting the same tests again and again. By separating test logic from test data, we can build cleaner, flexible, and more scalable automation suites.

In this article, we'll walk through a practical, beginner-friendly approach to writing API automation tests with REST Assured and TestNG using JSON files as the data provider.