Kubernetes is a popular container orchestration and container management platform for automating deployment, scheduling, and update of your containerized workloads in distributed compute environments. It goes without saying that managing multiple nodes and applications in Kubernetes requires an efficient monitoring system. You need to have a real-time picture of events happening in your cluster to get actionable insights for optimization and improving performance.
Kubernetes ships with some default monitoring and metrics solutions like Heapster and Kubernetes Metrics Server. However, in order to apply analytics, do data discovery, and visualize metrics data flowing from your cluster, you’ll be better off using solutions designed specifically for such type of tasks. One popular option for log and metrics monitoring and analysis is the ELK stack (Elasticsearch, Logstash, Kibana) used in pair with Elastic Beats log shippers.
In this article, we introduce you to monitoring Kubernetes with ELK and Elastic Beats. In particular, we’ll show how to send Kubernetes metrics to Elasticsearch indexes using Metricbeat and access them in your Kibana dashboard for subsequent processing. Let’s get started!