21 June 2018 Engineering
Improving Kibana’s Query Language
Find out how Kibana's new query language is simplifying search and unlocking powerful new features -- like autocomplete.
20 June 2018 Engineering
Interactive Inputs on Kibana Dashboards
Kibana 6.3 introduces interactive inputs — controls that give you the ability to add interactive filters to Kibana Dashboards.
19 June 2018 Engineering
Elastic APM Go Agent Beta Released
We are pleased to announce the Elastic APM Go agent’s first beta release, version 0.4.0.
Elastic Stack Updates
Releases
- 13 June 2018 Elastic Stack 6.3.0 Released
- 13 June 2018 Elasticsearch for Apache Hadoop 6.3.0 Released
- 13 June 2018 Elasticsearch 6.3.0 Released
- 13 June 2018 Beats 6.3.0 Released
- 13 June 2018 Logstash 6.3.0 Released
- View all releases
19 June 2018 Engineering
Docker and Kubernetes Hints-Based Autodiscover with Beats
Beats 6.3 brings new features to do Kubernetes and Docker autodiscovery. You can now define logging & monitoring settings using labels or annotations.
18 June 2018 News
Upgrading Your Hosted Cluster With Our Elasticsearch Service
Working on old versions of the Elastic Stack on AWS ES? Learn how easy it is to upgrade your clusters using our hosted Elasticsearch Service.
18 June 2018 Engineering
Getting Started with Vega Visualizations in Kibana
Learn to build rich visualizations within Kibana using Vega -- an open source JSON-based, declarative language.
13 June 2018 Engineering
Meet the New Logstash Java Execution Engine
The new Java execution engine in Logstash features faster performance, reduced memory usage, and lower config startup and reload times. And you can use it now.
05 June 2018 Engineering
Filtering Input Data to Refine Machine Learning Jobs
Optimize your results of your Machine Learning jobs by taking control of which data gets analyzed. Customize the datafeed with filters to get focused results.
30 May 2018 Engineering
Monitoring an application running in Docker containers and Kubern...
Containerized apps are dynamic, so is the Elastic Stack. Beats autodiscover and collect logs & metrics from the app, Docker, & Kubernetes and adjust to changes.