Monitoring Kubernetes the Elastic way using Filebeat and Metricbeat

Yukiya Shimizu explores how to monitor Kubernetes environments using Elastic's Filebeat and Metricbeat, offering a comprehensive alternative to Prometheus and Fluentd for those new to Kubernetes monitoring or looking to leverage Elastic Observability. Filebeat and Metricbeat, part of the free and open Beats platform, serve as lightweight shippers for logs and metrics, respectively, and are well-suited for containerized environments like Kubernetes due to their Autodiscover feature. This feature allows them to dynamically track changes in Kubernetes nodes, pods, and services, automatically correlating metadata with corresponding events and applying settings based on pod annotations. The blog details deploying these tools as DaemonSets on Kubernetes, ingesting data directly into Elasticsearch, and using Kibana for monitoring, with additional insights into collecting Prometheus custom metrics through Elastic APM. The ability to visualize logs and metrics through predefined dashboards and integrate with Elastic's machine learning and alerting features enhances the observability capabilities, offering users an efficient and effective monitoring solution for their Kubernetes environments.

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