Stefan Thies

Stefan Thies has 10+ years of work experience as a product manager and pre-sales engineer in the telecommunications industry. He joined Sematext as DevOps Evangelist in 2014 and is passionate about new software technologies and scalable system architectures.

10 Elasticsearch metrics to watch

Track key metrics to keep Elasticsearch running smoothly.

Elasticsearch is booming. Together with Logstash, a tool for collecting and processing logs, and Kibana, a tool for searching and visualizing data in Elasticsearch (aka, the “ELK” stack), adoption of Elasticsearch continues to grow by leaps and bounds. When it comes to actually using Elasticsearch, there are tons of metrics generated. Instead of taking on the formidable task of tackling all-things-metrics in one blog post, I’ll take a look at 10 Elasticsearch metrics to watch. This should be helpful to anyone new to Elasticsearch, and also to experienced users who want a quick start into performance monitoring of Elasticsearch.

Most of the charts in this piece group metrics either by displaying multiple metrics in one chart, or by organizing them into dashboards. This is done to provide context for each of the metrics we’re exploring.

To start, here’s a dashboard view of the 10 Elasticsearch metrics we’re going to discuss:

spm_dashboard

10 Elasticsearch metrics in one compact SPM dashboard. This dashboard image, and all images in this post, are from Sematext’s SPM Performance Monitoring tool.

Now, let’s dig into each of the 10 metrics one by one and see how to interpret them.

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