Learn pro tips for upgrading the Elastic Stack to get value from new features in each release. Watch video

To try out Elastic Stack on your own machine, we recommend using Docker and running both Elasticsearch and Kibana. For more information, see Local development installation (quickstart).

The Elastic Stack (also known as the ELK Stack) is used across a variety of use cases — from observability to security, from enterprise search to business analytics.

Logstash (part of the Elastic Stack) integrates data from any source, in any format with this flexible, open source collection, parsing, and enrichment pipeline.

To get started with Elastic, you need to choose a deployment method and deploy Elastic Stack components. In this section, you'll learn about how to deploy and manage all aspects of your Elastic …

Welcome to the docs that cover all changes in Elastic Stack 9.0.0 and later, including Elastic Stack 9.2.2 and Elastic Cloud Serverless. For easy reference, changes in 9.1.0 are marked inline.

Learn the fundamentals of Elastic. Discover what Elastic offers, explore core concepts of the Elastic Stack, understand deployment options, and access training resources to get started.

By completing this tutorial, you’ve learned how you can detect anomalous behavior in a simple set of sample data. You created anomaly detection jobs in Kibana, which opens jobs and creates and …

Step 2: Connect to the Elastic Stack Connections to Elasticsearch and Kibana are required to set up Winlogbeat. Set the connection information in winlogbeat.yml. To locate this configuration file, see …

When installing the Elastic Stack, you must use the same version across the entire stack. For example, if you are using Elasticsearch 7.17.29, you install Beats 7.17.29, APM Server 7.17.29, Elasticsearch …