Modern microservices create scattered log data, making debugging painful. This hands-on guide builds a centralized logging pipeline using Kafka (KRaft mode), Filebeat, Logstash, Elasticsearch, and Kibana.

The setup decouples log shipping from indexing, ensuring resilience. Kafka buffers logs safely, even if Elasticsearch goes down. A Node.js simulator generates realistic JSON logs for testing.

Administrators can visualize errors, latency, and service health in Kibana dashboards. This architecture scales for production, supporting replayable, structured observability without legacy Zookeeper dependencies.

Engineers gain a repeatable blueprint for taming log chaos. The stack integrates widely-used open-source tools, standardizing how teams monitor distributed applications across any cloud environment.