The latest News and Information on DevOps, CI/CD, Automation and related technologies.
For developers and programmers, Amazon Web Services (AWS) offers many benefits. It gives you access to the computing and DevOps tools you need at the press of a button — which helps you get products out the door fast. However, it can be challenging to control your costs and identify waste. In this comprehensive guide, we will examine some practical steps you can take for AWS cost optimization.
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).
If you’re a veteran in this space, you probably understand the many incident response metrics and concepts, along with the many (at times exasperating) acronyms. For those new to the space, or even those with years of experience, the terminology is often overwhelming. If you’re one of those people who’s struggling to navigate through the world of DevOps metrics, we’ve created this article for you.
In its latest report, research firm Gartner tackles the trending subject of Observability. According to Gartner, "Observability is the evolution of monitoring into a process that offers insight into digital business applications, speeds innovation and enhances customer experience. I&O leaders should use observability to extend current monitoring capabilities, processes, and culture to deliver these benefits." This blog post gives you a sneak-peek of this new analyst report about observability.