Monitoring an Apache Kafka cluster can be efficiently managed using Filebeat and Metricbeat modules, which simplify the collection of logs and metrics by automating configuration and integrating seamlessly with Elasticsearch and Kibana. By setting up these modules, users benefit from standardization through the Elastic Common Schema, sensible index templates, and optimized shard sizes via the Rollover API. The example environment consists of a three-node Kafka cluster with each node running Kafka 2.1.1, along with Filebeat and Metricbeat configured via Cloud ID to send data to an Elasticsearch Service cluster. This setup enables detailed visualizations in Kibana, such as log throughput, consumer lag, and partition states, offering insights into the Kafka cluster's performance and consumer activity. The article encourages users to try this monitoring solution by offering a free trial of the Elasticsearch Service, highlighting the ease of setup and the comprehensive dashboards available for monitoring Kafka clusters.