In the swiftly evolving tech world, the need for agile and efficient development processes is paramount. This was the essence of our enlightening event, "Creating Ephemeral Environments for CI/CD Pipelines with Kubernetes," which garnered an impressive turnout of over 650 attendees. The event, now available on Youtube, focused on the transformative potential of ephemeral environments in modern CI/CD pipelines.

Kubernetes, often abbreviated as K8s, has revolutionised the way we manage containerized applications. It provides a robust platform for orchestrating and managing containers at scale. One of the key features that sets Kubernetes apart is its powerful metadata system, which includes labels and annotations. In this blog post, we’ll take a comprehensive look at how labels and annotations work in Kubernetes and how you can leverage them to enhance the management of your applications.

Greetings! My name is Matt Krauser and I’m a Strategic Sales Executive here at Cycle. After participating in nearly a hundred demos of the platform, I wanted to step back from my day to day grind and share a little about my experience thus far. My goal in writing this is to compare Cycle and Kubernetes, discuss the primary pain points I hear from prospects and K8s users on a daily basis, and explain how Cycle can alleviate these challenges.

When things go wrong, we’d all love the ability to go back in time, return things to the way they were, and fix whatever issues pop up at the start so they never happen in the first place. This is no different when maintaining complex microservices-based architectures. With any complex system, things are bound to go wrong from time to time.

At Grafana Labs we meet our users where they are. We run our services in every major cloud provider, so they can have what they need, where they need it. But of course, different providers offer different services — and different challenges. When we first landed on AWS in 2022 and began using Amazon Elastic Kubernetes Service (Amazon EKS), we went with Cluster Autoscaler (CA) as our autoscaling tool of choice.

In the fast-paced world of software development, the ability to deliver and iterate quickly on APIs and microservices is essential. Traditional testing methods can be time-consuming and often slow down development cycles. That is where API and service mocking tools like Microcks can come to the rescue. Microcks shipped as a new community add-on for the recent MicroK8s 1.28 release. Microcks is a Cloud Native Computing Sandbox project dedicated to API mocking and testing tools on Kubernetes.