Tag: DevOps

Testing is no longer confined to the QA department—it’s now an integral part of every stage of the software development lifecycle. The “Shift Left” and “Shift Right” testing philosophies have emerged as essential strategies for delivering high-quality software faster, with fewer bugs and greater user satisfaction. But implementing both effectively—catching defects early while also validating

DevOps has driven remarkable improvements in software delivery, fostering collaboration between development and operations teams and enabling continuous integration and continuous delivery (CI/CD). However, QA often becomes a bottleneck in this streamlined pipeline. Manual scripting, fragile automation frameworks, and human-intensive validation processes slow things down at the worst possible moment—right before release. When testing lags

DevOps practices have emerged as a solution to streamline and accelerate the development lifecycle, bridging the gap between development and operations. At the heart of successful DevOps implementation is continuous testing, a practice that ensures every code change is automatically tested to maintain quality throughout the development process. Let’s delve into how continuous testing fits

DevOps practices have revolutionized the industry by fostering collaboration between development and operations teams, streamlining processes, and enhancing deployment frequency. However, as technology advances, new tools emerge to further augment and refine these practices. Gen AI is one such innovation, offering a synergistic approach to software quality within the DevOps framework. Gen AI represents a

Testing and the CI/CD Process In the post, Continuous Testing: Required But Not Enough, our CTO Kevin Surace explored the necessity of Continuous Testing, but also its shortcomings. As he covered there, continuous testing requires a range of automated testing approaches, covering unit tests, API and integration tests, as well as more complete end-to-end tests.

This is the second #BestPractices blog post of a series, by Kevin Parker. Introduction Developers and quality assurance teams must collaborate to succeed in today’s fast-paced software development industry. By working together from the beginning, Dev and QA can incorporate best practices that make test automation easy and efficient, thereby accelerating release cycles and improving

The High Bar Set for Load Testing Today What are the criteria for a capable load testing tool that meets the needs of an app today, living in the Cloud, built with a microservices architecture, linking to external resource?  What should it include to ensure your dev team delivers a reliable, high-performance app that meets

My first programming job after college was for a garment maker in Slough, in the United Kingdom. We were a small team, and everyone had to do everything. My programming by day tasks were complemented by being “on call” one night per week and one weekend day per month. Arriving at the data center in

As business becomes increasingly digitized, it’s critical for teams to produce better quality, even as the complexity of applications to run your business on increases. And now do so in an hour or less. And in fact, you are going to have to be 800 times more productive (from a QA standpoint) if you want