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.
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.
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
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.
18 June 2018 Engineering
How to Search Chinese, Japanese, and Korean Text with Elasticsear...
This document introduces custom plugins (language analyzers) for Korean, Japanese, and Chinese and suggests an approach to use multi-fields to index and search
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.
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.
30 May 2018 Engineering
Understanding your team’s usage with Elastic Cloud Enterprise
Elastic Cloud Enterprise allows companies to deliver Elasticsearch as a service to their internal teams. This blog looks at how to understand your team's usage
29 May 2018 Engineering
Seven Tips for Better Elasticsearch Benchmarks
We evaluate performance and guide development in Elasticsearch with benchmarks. It is hard to get right but with these seven tips you avoid common problems.