Operations | Monitoring | ITSM | DevOps | Cloud

When we discuss observability for applications running in Kubernetes, most people immediately default to Metrics, Logs, and Traces – commonly referred to as the “three pillars.” These pillars are just different types of telemetry – signals that can be fed into observability platforms to help understand how an application behaves. But did you know that Kubernetes offers another valuable signal? When combined with the other signals, you get MELT.

One of the inherent challenges you'll face when working with Kubernetes is that a typical cluster includes many resources that produce telemetry data. Because producing and moving telemetry data consumes resources, you can end up in situations where different workloads are competing for the resources necessary to manage telemetry data.

Kubernetes, often abbreviated as K8s, is a powerful container orchestration platform that has revolutionized the way modern applications are developed, deployed, and managed. At its core, Kubernetes relies on several conceptual pillars that form the foundation of its design and functionality. Let’s delve into these fundamental principles that underpin Kubernetes.

Absolutely, diving into the stages of a Continuous Integration/Continuous Deployment (CI/CD) pipeline can shed light on the software development process’s efficiency. Let’s break it down into stages.