Operations | Monitoring | ITSM | DevOps | Cloud

If you’re new to Kubernetes or looking to modernize your cluster management workflows, Cluster API and SUSE Rancher Prime make it easier than ever to provision and manage clusters declaratively. This guide walks you through enabling Cluster API in SUSE Rancher Prime, deploying your first cluster and exploring advanced features like GitOps. Some helpful documentation can be found here and a few pre-requisites for this hands-on walkthrough.

Monitoring is the backbone of any reliable DevOps setup. And if you’re working with monitoring, you’ve likely used Prometheus. This open-source powerhouse has redefined how we track system performance, but are you making the most of its API? Prometheus is the go-to solution for monitoring container-based environments, particularly in Kubernetes. Its pull-based model and flexible query language provide deep visibility into your systems.

Developing APIs can often be a complex web of dependencies, external dependencies, and murky network traffic. In order to build better, developers need a certain amount of stability to test a query or feature against, and when this stability is lacking, development can get more complicated and difficult. Enter API mocking. API mocking is an approach to generating a mock service that provides dependable data for a variety of testing purposes.

When running tests in a CI/CD pipeline, relying on external APIs can introduce instability, slow down execution, and even lead to failed builds due to rate limits or API downtime. Fortunately proxymock provides a solution by capturing API interactions and running a local mock server, enabling fully isolated and repeatable tests. In this blog, we’ll demonstrate how to integrate proxymock into a GitHub Actions CI pipeline using a demo app called outerspace-go.