The latest News and Information on Continuous Integration and Development, and related technologies.
Now that we know the advantages of leveraging Ketch over other tools such as Helm to ease the deployment of our applications (BLOG: Helm vs. Ketch when Deploying Applications), a good next step is for us to understand how we can tie Ketch to our CI pipeline and have an automated deployment process. For this example, we will leverage Ketch, GitHub Actions, and a Kubernetes cluster on Google Kubernetes Engine (GKE).
Data from monitoring tools like Datadog are useful for developers to help them understand whether the code they've deployed is healthy or needs to be fixed or rolled back, or when there is an incident to investigate. As a deployment mission control, Sleuth helps developers see metrics data from a developer-centric point of view - by deployment - and interpret such data for them.
A typical modern DevOps pipeline includes eight major stages, and unfortunately, a release bottleneck can appear at any point: These may slow down productivity and limit a company’s ability to progress. This could damage their reputation, especially if a bug fix needs to be immediately deployed into production. This article will cover three key ways using data gathered from your DevOps pipeline can help you find and alleviate bottlenecks in your DevOps pipeline.
