Top Elasticsearch Metrics You've Got to Monitor | Troubleshooting Common Errors in Elasticsearch

👉 How to monitor Elasticsearch with Sematext: https://sematext.com/blog/monitoring-...
👉 Elasticsearch monitoring docs: https://sematext.com/docs/integration...
👉 Elasticsearch consulting, production support and training: https://sematext.com/elasticsearch/?u...
👉 Free cheatsheet for Elasticsearch: https://sematext.com/resources/cheat-...

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.

#elasticsearch #elasticsearchtutorial
#correlation #corewebvitals #statuspage #userexperience #uptime #alerting #alert #metrics #monitoring #monitoringtools #observability #performance #logs #logging #sre #devops #Sematext #SematextCloud

❤️ Subscribe: https://www.youtube.com/c/SematextGro...
🤓 Check out our blog: https://sematext.com/blog/

Follow Sematext:
👍 Facebook:   / sematext  
👍 Twitter:   / sematext  
👍 LinkedIn:   / sematext-international-llc  

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 Queries 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