Kubernetes, an open-source container orchestration system, has become the standard for automating application deployment, scaling, and management, but its transition to microservices has complicated monitoring. The Elastic Stack, comprising Elasticsearch, Logstash, and Kibana, offers robust solutions for monitoring infrastructure and applications, including those in Kubernetes environments. Many users prefer integrating existing open-source tools such as Prometheus, a widely-used metric toolkit, and Fluentd, a popular log collection tool, with the Elastic Stack for enhanced observability. The blog discusses deploying Fluentd as a DaemonSet and Prometheus using Helm Charts to collect and store logs and metrics in Elasticsearch, visualized through Kibana. It details using Metricbeat as a Prometheus remote storage adapter and emphasizes the potential of Kibana for advanced alerting, including leveraging machine learning. The approach is demonstrated using a simple multi-container application, Cloud-Voting-App, with examples available in the author's GitHub repository, suggesting that users can begin monitoring Kubernetes by utilizing Elastic Cloud or self-hosting the Elastic Stack.