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ELK stack

The ELK stack is a collection of Elasticsearch, Logstash, and Kibana components for ingesting, processing, searching, analyzing, and visualizing data.

How 2 Manning books explain it

Elasticsearch in Action, Second Edition

The Elastic Stack is a collection of data collection, processing, search, analytics, and visualization products that includes Beats, Logstash, Elasticsearch, and Kibana.

How it is used
Coordinates data ingestion, processing, search, analytics, visualization, observability, and security operations.
How deep it goes
Defines each component and its pipeline role, but stops short of detailed product implementation.
Examples
Uses application logs, machine metrics, real-time events, debugging, dashboards, and large-scale organizational deployments.
What you can do after
Operate a data pipeline that feeds Elasticsearch for searchable analysis and Kibana-based visualization.

Read how Elasticsearch in Action, Second Edition explains ELK stack →

Data-Driven Cybersecurity

The ELK stack is a collection of Elasticsearch, Logstash, and Kibana components for collecting, searching, analyzing, and visualizing data.

How it is used
Supports vulnerability and incident analysis by collecting, querying, correlating, and visualizing security data for risk decisions.
How deep it goes
Explains component roles and operational setup, including ingestion pipelines, Elasticsearch queries, Kibana dashboards, and forecasting, but not configuration details.
Examples
Uses vulnerability reports, historical attacks, threat feeds, system logs, network data, indicators of compromise, and security dashboards.
What you can do after
Operate/configure it to ingest security data, query incident patterns, visualize risk, and support investigative prioritization.

Read how Data-Driven Cybersecurity explains ELK stack →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.