High Disk Usage and Storage Considerations
Cause: Elasticsearch stores data and indexing structures on disk, leading to potential disk space issues as data volumes grow.
Solutions
- Implement index lifecycle management policies to manage index retention and deletion.
- Leverage Elasticsearch’s built-in compression and compaction mechanisms.
- Consider using cloud storage solutions or remote repositories for backup and archiving.
- Implement data tiering strategies by moving cold data to lower-cost storage tiers.
How to Solve Elasticsearch Performance and Scaling Problems?
There is a software platform called Elasticsearch oriented on search and analytics of the large flows of the data which is an open-source and has recently gained widespread.
Yet, as data volumes and consumers increase and technologies are adopted, enterprises encounter performance and scalability issues with Elasticsearch implementations. In this article, they will discuss some of the familiar performance and scalable issues and offer recommendations on how to deal with them.
Contact Us