The latest News and Information on DevOps, CI/CD, Automation and related technologies.
Kubernetes integrations are now available for AutoSys, dSeries, and Automic Automation. It wasn’t that long ago that teams in many organizations started dipping their toes into the world of containers and microservices. It didn’t take long for this approach to application development and orchestration to take hold, and for Kubernetes to emerge as a dominant, broadly used technology.
As software engineers, we all know that troubleshooting often involves sifting through heaps of data points — scanning metrics, reading logs, checking resource status and analyzing events. We manually connect the dots, and if we're experienced enough, we might spot an issue that's about to become a problem. At StackState, we've faced these same challenges.
Kubernetes has been around for nearly 10 years now. In the past five years, we’ve seen a drastic increase in adoption by engineering teams of all sizes. The promise of standardization of deployments and scaling across different types of applications, from static websites to full-blown microservice solutions, has fueled this sharp increase.
In this article, we are going to discuss how to set up Kafka monitoring using Prometheus. Kafka is one of the most widely used streaming platforms, and Prometheus is a popular way to monitor Kafka. We will use Prometheus to pull metrics from Kafka and then visualize the important metrics on a Grafana dashboard. We will also look at some of the challenges of running a self-hosted Prometheus and Grafana instance versus the Hosted Grafana offered by MetricFire.
