The Competition and Markets Authority (CMA) is investigating the state of the UK cloud market, and for good reason. While the submissions and commentary already submitted to the CMA point to various concerning practices, one issue stands out as the single biggest threat to a healthy, competitive landscape: excessive free cloud credits. This tactic, employed by the dominant hyperscalers (AWS, Microsoft Azure, and Google Cloud Platform), is akin to a drug dealer offering free samples.

The emergence of Ephemeral Environments poses a compelling question: What can organizations expect from adopting this transformative approach? What are the hurdles they may face along the way? And what results can they anticipate? These are the questions I will address in this article as we explore why Ephemeral Environments are garnering attention and what makes them so pivotal for engineering teams today. Let's go!

There’s more pressure than ever to deliver high-availability Kubernetes systems, but there’s a combination of organizational and technological hurdles that make this ‌easier said than done. Technologically, Kubernetes is complex and ephemeral, with deployments that span infrastructure, cluster, node, and pod layers. And like with any complex and ephemeral system, the large amount of constantly-changing parts opens the possibility for sudden, unexpected failures.

In the dynamic world of container orchestration, Kubernetes stands out as the undisputed champion, empowering organizations to scale and deploy applications seamlessly. Yet, as the deployment scope increases, so do the associated Kubernetes workload costs, and the need for effective resource capacity planning becomes more critical than ever. When dealing with containers and Kubernetes you can find yourself facing multiple challenges that can affect your cluster stability and your business performance.

In the software development landscape, mastering test automation has become crucial for ensuring efficient quality assurance (QA) processes. Test automation not only accelerates testing cycles but also enhances test coverage and accuracy, leading to higher-quality software releases. This blog explores key strategies for mastering test automation and achieving efficient QA outcomes.