At CircleCI, we’ve worked hard to build on-demand training to help our users get the most out of our platform and its capabilities. Historically, we created CircleCI Academy courses to ensure that all our customers know how to effectively use the features on our platform. Today, we’re taking a proactive approach to enhance your DevOps skills.

In our big series of Kubernetes anti-patterns, we briefly explained that static test environments are no longer needed if you are using Kubernetes. They are expensive, hard to maintain, and hard to clean up. Instead, we suggested the adoption of temporary environments that are created on demand when a pull request is opened. In this article, we will see the practical explanations on how to achieve unlimited temporary environments using Kubernetes namespaces.

The past week has been a turbulent time for Bitbucket Cloud's engineering and support teams as well as our customers. Some of you have expressed concern regarding our services’ performance and reliability in recent days. Fortunately, for the majority of Bitbucket users, our services have continued to perform smoothly. But given the number of developers who use Bitbucket daily, even a small percentage of our active users represents a lot of people.

Slack experienced meteoric growth between 2017 and 2020—but that level of growth came with growing pains. In his talk at the 2021 o11ycon+hnycon, Frank Chen (LinkedIn), a Slack Senior Staff Engineer, detailed one of Slack’s biggest pain points in that period: flaky tests. A flaky test returns both a passing and failing result despite no changes in the code. At one point, between 2017 and 2020, Slack’s flaky test rate reached as high as 50%.