14 Apr 2026
DZone Java Zone
Faster Releases With DevOps: Java Microservices and Angular UI in CI/CD
In modern DevOps workflows, automating the build-test-deploy cycle is key to accelerating releases for both Java-based microservices and an Angular front end. Tools like Jenkins can detect changes to source code and run pipelines that compile code, execute tests, build artifacts, and deploy them to environments on AWS. A fully automated CI/CD pipeline drastically cuts down manual steps and errors.
As one practitioner notes, Jenkins is a powerful CI/CD tool that significantly reduces manual effort and enables faster, more reliable deployments. By treating the entire delivery pipeline as code, teams get repeatable, versioned workflows that kick off on every Git commit via webhooks or polling.
14 Apr 2026 1:00pm GMT
13 Apr 2026
DZone Java Zone
How to Test a GET API Request Using REST-Assured Java
Testing GET requests is a fundamental part of API automation, ensuring that endpoints return the expected data and status codes. With REST Assured in Java, sending GET requests with query and path parameters, extracting data, verifying the status code, and validating the response body is quite simple.
This tutorial walks through practical approaches to efficiently test GET APIs and build reliable automated checks, including:
13 Apr 2026 2:30pm GMT
10 Apr 2026
DZone Java Zone
Apache Spark 3 to Apache Spark 4 Migration: What Breaks, What Improves, What's Mandatory
Apache Spark 4.0 represents a major evolutionary leap in the big data processing ecosystem. Released in 2025, this version introduces significant enhancements across SQL capabilities, Python integration, connectivity features, and overall performance. However, with great power comes great responsibility - migrating from Spark 3.x to Spark 4.0 requires careful planning due to several breaking changes that can impact your existing workloads.
This comprehensive guide walks you through everything you need to know about the Spark 3 to Spark 4 migration journey. We'll cover what breaks in your existing code, what improvements you can leverage, and what changes are mandatory for a successful transition. Whether you're a data engineer, platform architect, or data scientist, this article provides practical insights to ensure a smooth migration path.
10 Apr 2026 8:00pm GMT