Resources and Training

The Elastic Stack

Begin here

New to the Elastic Stack? There’s more than just ELK. Here are a few steps to download the full product stack and gear up to ingest, search, analyze, and visualize your data.

Documentation

Documentation

  • Elasticsearch, Kibana, Beats, and Logstash
  • Security, alerting, monitoring, reporting, graph analytics, and machine learning features
  • Elasticsearch for Apache Hadoop
  • Clients and Integrations
Training

Training

Get trained by the engineers who built the products. Get a full overview of our offerings. Have a question? Read frequently asked questions.

Videos

Introduction to logging with the ELK Stack: A primer for beginners

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. Join us as we go over the basics and show you how to get started using the Elastic Stack.

Building Effective Dashboards with Kibana and Elasticsearch

You have probably built graphs, charts, and dashboards in everything from spreadsheets to BI tools to the Elastic Stack. Still, it can be a challenge to build just the right visualization so that it is available when you want it, where you want it, and in the way you want it.

Leveraging Elasticsearch as a time series database - lessons from a DevOps engineer

The DevOps team at NS1 realized that they were spending more time managing their telemetry system, rather than the services being monitored. A reevaluation of the alternatives led them to replace their time series database with Elasticsearch.

Observable Kubernetes with the Elastic Stacks

While Kubernetes can dramatically simplify the task of application deployment in containers, its dynamic nature adds new complexity to monitoring the services and applications running in it, as well as, the health of the containers and orchestration infrastructure itself. Elasticsearch and Beats can help, along with Kibana, of course.