The blog post discusses how to ship Kubernetes logs to Elasticsearch using Filebeat, highlighting the importance of enriching logs with metadata for effective filtering and correlation. With the release of Filebeat 6.0, users can leverage Kubernetes metadata to enhance logs, enabling better troubleshooting by correlating logs and metrics. The add_kubernetes_metadata processor enriches logs with details such as pod name, container name, and Kubernetes labels by maintaining a local cache of running containers. Filebeat is deployed as a DaemonSet on Kubernetes, ensuring an agent runs on each node, and it accesses Docker logs to enrich them before sending them to Elasticsearch. The post provides a step-by-step guide to deploying this setup, emphasizing the role of metadata in improving log monitoring and analysis.