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Testing

7 Automated Software Testing Tools for Fast & Reliable QA

Automated software testing tools are used to automate interactions with software so tests can be run without a human having to perform each action. This lets one person run multiple tests at once and eliminates most of the human error associated with manual testing. Although there are many types of software testing, functional testing is the most common and the one most teams start with. That’s why we’ll be focusing on functional testing in this article.

How to Avoid Getting Your Pod OOMKilled

In this blog, understand why your pod has OOMKilled errors when provisioning Kubernetes resources and how Speedscale can aid with automated testing. When creating production-level applications, enterprises want to ensure the high availability of services. This often results in a lengthy development process that requires extensive testing for the applications or a new release.

Fireside Chat - Accelerating the Banking Transformation with Digital Assurance

Banking has undergone a significant digital transition, which goes far beyond simply switching from a traditional to a digital environment. To evaluate, connect with, and serve their clients, banks and other financial organizations must use a comprehensive digital transformation plan. Understanding client behavior, preferences, and needs is the first step in the fundamental approach to digitalization in banking and fintech.

A Brief History of Disastrous Game Launches - and How to Keep Your Title Off This List

This summer marks the 40th anniversary of one of the most beloved American films of all time, E.T.: The Extra Terrestrial. E.T. was by all accounts a smashing success to the tune of $800 Million at the box office and cemented Stephen Spielberg as one of the most talented young filmmakers in the world.

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Using Open Source for API Observability

API Observability isn't exactly new, however it's popularity has seen rapid growth in the past few years in terms of popularity. API Observability using open source is different from regular API monitoring, as it allows you to get deeper and extract more valuable insights. Although it takes a bit more effort to set up, once you've got an observability infrastructure running it can be immensely helpful not only in catching errors and making debugging easier, but also in finding areas that can be optimized.