Systems | Development | Analytics | API | Testing

The latest News and Information on Software Testing and related technologies.

What Is An API Endpoint? (Complete Guide For Developers & Qa Testers)

An API endpoint is a defined URL or path where an API accepts a request from the client, such as a web app, mobile app, automation script, or AI agent, and sends back a response. It serves as the official communication point between the frontend and backend. In other words, if an API is a restaurant, then the endpoint is the exact table where we take your order.

Kafka Service Bundle: Managed Apache Kafka Without Lock-In

Apache Kafka delivers unmatched performance for real-time data streaming — but managing it in-house requires deep expertise. That’s where OpenLogic’s Kafka Service Bundle comes in. This managed Apache Kafka solution helps enterprises simplify operations, control costs, and maintain full ownership of their data — without the vendor lock-in of commercial clouds. Key benefits: With OpenLogic, your business gets the freedom and flexibility of open source Kafka — supported by the expertise and reliability enterprises depend on.

Performance Testing and Artificial Intelligence (2/2)

If you recall part one of this blog post, we were going to use ChatGPT in parallel with how we would work to cover these aspects of performance testing. We left the first part of this blog post at the point at which we had compared Requirements Gathering and Risk Assessment, we will pick this post up by looking at Script Creation before concluding with Results Analysis. Our performance testing tool of choice will be JMeter.

Performance Testing and Artificial Intelligence (1/2)

If you believe many articles online you would believe that automation in testing will soon be defined, managed and executed by Artificial Intelligence (AI). AI is embedded in many organisations technology landscape and to think that this model will change is shortsighted. AI is here to stay undoubtedly in one form or another, but should it be responsible for the automated testing of your applications under test?

Part 2: Building a Production-Grade Traffic Capture, Transform and Replay System

When developers try to build realistic mocks and automated tests from production network traffic, the real challenge isn’t just in the capturing—it’s in the data manipulation. Raw traffic is a chaotic sea of patterns, dynamic tokens, environment-specific secrets, and tangled dependencies that seem impossible to untangle by hand. Over my two decades of building these sytems, I learned that solving this problem requires more than brute-force parsing or ad hoc scripts.

Playwright - Future of Web Automation | Vignesh Srinivasa Raghavan | TTTribeCast Webinar

Selenium has been the trusted name in web automation for years, offering broad compatibility and flexibility. Cypress revolutionized front-end testing with a developer-friendly experience. But as web applications become more complex, is there a better alternative?

What Is Monkey Testing In Software Testing? Types, Tools & More

What happens when an inquisitive, unpredictable user, without manual or training, just begins clicking and typing in your application? Will everything handle the unpredictability gracefully or crash prematurely? This chaotic scene is not hypothetical in the field of Quality Assurance (QA); it is actually an established testing technique called Monkey Testing. While structured testing is important, it often ignores the unstructured actions of actual users.

A CFO's Guide to Test Automation: 5 Metrics That Matter

Test automation has evolved far beyond QA. Today, it plays a direct role in product speed, developer efficiency, and even customer retention. That means one thing: it’s no longer just a technical investment. It’s a financial decision. If you’re a CFO, you’ve likely seen test automation mentioned in strategy decks or budget line items. But what does the return really look like?

Pycharm Vs Vs Code - Which Python Ide Wins In 2025?

For Python developers, the choice of IDE isn’t just a preference — it’s a productivity multiplier. From debugging and linting to virtual environments and CI/CD automation, your IDE defines how smoothly your workflow runs. As Python continues to dominate data science, web development, and AI, PyCharm and VS Code remain the two top contenders. Both are evolving fast — but which one truly deserves the title of Best Python IDE in 2025?