Monitoring Elasticsearch metrics is absolutely essential! Monitoring gives you information about the functionality, overall condition, and performance of your Elasticsearch cluster.

Without monitoring, you risk missing important “red-flags” that could make your cluster inaccessible or crash. Which could result in data loss and downtime; both of which would be expensive for your company.

Monitoring indicators like the node count, cluster status, indexing rate, and query latency can help you spot problems early on and take preventative action to fix them. Monitoring metrics can also assist you in optimizing your cluster for increased speed and scalability, which will enhance user experience and boost productivity.

You can make sure that your cluster is operating efficiently, stop problems from getting worse, and maintain availability by keeping an eye on Elasticsearch metrics with Sematext.

Professional Consulting and Production Support: https://sematext.com/consulting/

Free Sematext Trial: https://sematext.com/integrations/elasticsearch/

Free Cheatsheet for ES: https://sematext.com/resources/cheat-sheets/

Additional Reading:
How to monitor ES Metrics with Sematext: https://sematext.com/blog/monitoring-elasticsearch-with-sematext/

Chapters

0:00 Intro

0:56 Basics

1:28 Manually Fetching Data

2:55 Monitoring tool

4:05 Elasticsearch Metrics to Monitor

4:13 Cluster Health Metrics

4:43 Indexing Performance Metrics

5:54 Search latency

6:37 Node Memory

8:10 OS and Logging

8:53 Large Querries on Old ES

9:13 Nesting Data

9:52 Cache Size

10:05 Disk Usage

10:45 CPU Usage

11:15 Network Latency

11:50 Segment Merges

12:15 Cache Evictions

12:55 Outro