fidzu : programming

The dashboard turned red at weekday. Our order processing API latency jumped from fifty milliseconds to five seconds. Customer support tickets flooded in. Users reported timeouts during checkout. The infrastructure team scaled up the Kubernetes pods, but the issue persisted. CPU usage sat at 100 percent across all nodes. We were throwing hardware at a software problem. This approach failed miserably.

In this article, I will share how we diagnosed the bottleneck. I will explain the profiling tools we used. I will detail the code changes that restored performance. This is not a theoretical guide. It is a record of a real production incident and the steps we took to resolve it.

16 Apr 2026 12:00pm GMT

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

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