Have you faced performance issues with your Elasticsearch cluster during write-heavy workloads? Have you encountered limitations with your Elasticsearch indexing speed? Have you bumped into latency problems where your searches are taking too long to execute or faced challenges troubleshooting operational issues with your Elasticsearch cluster? Have you struggled to improve the stability of your Elasticsearch cluster during outage situations or ever wondered which metrics to look at from an Elasticsearch monitoring perspective?
If your answer to any of the above questions is “yes,” then this article is for you.
I’ll explain some of my experiences with troubleshooting and resolving Elasticsearch’s performance issues. By the end of this article, you should have a good understanding of the critical metrics to monitor when you bump into performance or operational problems with your Elasticsearch cluster. I’ll be citing examples and monitoring metrics from the Amazon Elasticsearch service, but the same metrics hold true if you’re hosting Elasticsearch on your own or using some other managed providers.
Top 5 Elasticsearch metrics to monitor –
- Cluster Configuration
- Master Node Metrics
- Data Node Metrics
- Indexing Performance
- Search Performance
Read my full article in the IOD Tech Content blog space below —