Kubernetes is a powerful platform that comes with many features to help engineers run their applications more efficiently. However, as you gain more experience and deploy more workloads, you’ll inevitably start looking for ways to optimize Kubernetes performance. There are many ways to approach optimization. On one hand, you could work exclusively with the tools and configurations provided by Kubernetes itself; on the other, you could reap the benefits of third-party tools.

While ‘Smoke Testing’, ‘Sanity Testing’, and ‘Regression Testing’ are widely practiced in the world of QA, there still exist some misinterpretations or misconceptions around these concepts. For your team to make the most optimal use of the 3 methods, this article will help you to understand and differentiate them from one another.

More than 70% of automation script failures are false and are caused by poor automation design practices. The False Failure Rate (FFR) is the percentage of tests that falsely fail when a test suite is run. It is calculated by dividing the number of false failures (failed tests that actually passed) by the total number of tests that were executed during a test run. Higher false failure rates increase testing and maintenance costs.

We are excited to announce the release of NeoLoad 9.2. This release delivers several important features, including enhancements to RealBrowser (see the NeoLoad 9.0 release blog for more information on RealBrowser) as well as integrations with opensource performance testing tools like JMeter and Gatling.

DevOps vs CI/CD has been one of the key debates in the recent few years. This is due to the fact that these two software development methodologies have gained popularity in recent years. The goal of DevOps is to improve the speed and quality of software development and deployment. It does so by breaking down silos between different teams and streamlining workflows. On the other hand, CI/CD is a set of practices and tools that enable continuous integration, testing, and deployment of code changes.

Agile methodologies are transforming and speeding up the development lifecycle of businesses, but operations are not being changed or speeded up in the same way. While the operations teams frequently struggle to keep up with this pace, it increases operational challenges in the application landscape. To make the whole IT operation more ‘agile’, it is critical to alter operations to par with how development processes are transformed.

“If you don’t care about quality, you can meet any other requirement” Gerald M. Weinberg Software testing has never been a walk in the park. It demands expertise in software development, users’ behavior, the software under test architecture, stakeholders’ requirements, and programming knowledge. Quality teams know firsthand how challenging it is to ensure software quality when its architecture is becoming more complex and teams are releasing at a pace faster than ever.

Software testing techniques help us ensure that our software meets all the requirements. The goal of testing techniques is to find out missing requirements, gaps, and errors in comparison to the actual requirements. Finding the right testing technique can be a little challenging. These techniques help us to identify test conditions. Note that there are multiple types of testing. One example is the black box testing technique. In this process, developers test their applications through different inputs.