Systems | Development | Analytics | API | Testing

In the programming language, Python, binary data and text are often used when working with files, APIs, data encoding and decoding, and networking. In this article, we are going to answer some of the common questions that arise in this process. Some of which include what bytestrings are, how to convert strings to bytes and vice versa, their differences, and many more. This guide will cover all that is required for you to master bytestrings in Python.

Exploratory Testing is one of the most valuable practices in software testing, especially when we want to discover issues that impact user experience. But at the same time, it is also one of the most demanding approaches in terms of time and focus. In a world where product development life cycles are becoming shorter and where QA teams need to ensure faster releases without compromising quality, a question arises: How can we gain time without sacrificing the depth of exploratory tests and their findings?

When Katalon made the decision to run its own quality practice entirely on the Katalon platform, it wasn’t just a symbolic gesture. It was a deliberate business decision to replace fragmented tools, eliminate reporting silos, and sharpen product-market fit—all while holding itself to the same standards expected by our customers.

Test scripts break. It’s one of the most frustrating parts of test automation. You update a button. The UI layout shifts. Suddenly, dozens of test cases fail because the locators no longer work. This is where self-healing test automation enters the scene. Instead of failing outright, these smart tests diagnose the issue, find an alternative path, and continue running.

Regression testing is one of the most important parts of software testing. It’s how you make sure that old features still work when new code is added. But running regression tests isn’t enough. You need to maintain them. Test maintenance means updating, cleaning, and adjusting your regression tests to match the latest changes in your product. Without it, your tests break, false positives increase, and your team loses trust in your test suite.

Enterprises like yours manage terabytes to petabytes of data daily. Collecting and storing this massive volume of information is already complex. But the real challenge lies deeper. It's in delivering data effectively, securely, and in ways that empower your teams to innovate. This blog will deep dive into the current state of enterprise data automation and examine the limitations of legacy solutions. Then, we will explore how top-performing organizations approach automation in their industries.

How financial institutions in the Gulf are embracing digital transformation and why assurance is their strongest ally.

In today’s fast-paced world of software development, the pressure to deliver high-quality releases quickly is stronger than ever. Teams are pushing code changes to production multiple times a day, and expectations around stability, security, and performance haven’t gone down—in fact, they’ve gone up. Manual testing simply can’t keep up with the speed and complexity of modern deployment cycles.

You’ve just wrapped a long sprint. Deadlines are tight, and QA is struggling with flaky test runs. Your team debates the age-old question should we stick with Selenium or finally migrate to Playwright? It’s not just about speed anymore; it’s about control, visibility, and smarter automation. The truth is, both Playwright and Selenium have their strengths but only one fits your product, pace, and team DNA.