On this page, you'll find all the resources — docker commands, links to product release notes, documentation and source code — for installing and using our Docker images.
docker
Running on Kubernetes? Try Elastic Cloud on Kubernetes.
Elasticsearch is a distributed, RESTful search and analytics engine capable of solving a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data so you can discover the expected and uncover the unexpected.
Kibana lets you visualize your Elasticsearch data and navigate the Elastic Stack, so you can do anything from learning why you're getting paged at 2:00 a.m. to understanding the impact rain might have on your quarterly numbers.
Beats is the platform for single-purpose data shippers. They send data from hundreds or thousands of machines and systems to Logstash or Elasticsearch.
Logstash is an open source, server-side data processing pipeline that ingests data from a multitude of sources simultaneously, transforms it, and then sends it to your favorite “stash.” (Ours is Elasticsearch, naturally.)
Already housing logs and system metrics in Elasticsearch? Expand to application metrics with Elastic APM. Four lines of code lets you see a bigger picture to quickly fix issues and feel good about the code you push.
The curated experience of Elastic App Search brings the focused power of Elasticsearch to a refined set of APIs and intuitive dashboards. Leverage the seamless scalability, tunable relevance controls, thorough documentation, well-maintained clients, and robust analytics to build a leading search experience with ease.
Easily implement powerful, modern search experiences for your busy team. Quickly add pre-tuned search to your website, app, or ecommerce store. Search it all, simply.
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch