Kubernetes has become the leading container orchestration technology, integral to the cloud-native movement, offering speed and agility but also increased complexity with numerous microservices and containers. Monitoring such environments is crucial, and Elastic simplifies this task by providing comprehensive observability through a unified platform that combines logs, metrics, and application performance monitoring (APM). This tutorial outlines how to use Elastic's tools to monitor applications in Kubernetes, emphasizing the use of Filebeat for log collection and the Elastic Stack for data analysis and visualization. Filebeat can be deployed as a DaemonSet to collect pod logs, which are enriched with Kubernetes metadata, enabling seamless log ingestion and processing. The tutorial also covers using Kibana for log analysis, leveraging pre-built visualizations, and employing machine learning features to detect anomalies and new log entries. Elastic's approach allows for efficient troubleshooting and monitoring of Kubernetes environments, facilitating a fully observable system.