Network and Cluster Communication Bottlenecks
Cause: High network traffic or inefficient cluster communication can lead to performance degradation and instability.
Solutions
- When building or fine-tuning an application, one must bear in mind that many properties, such as the TCP retransmission settings or the size of thread pools, can be fine-tuned to different prescriptive values depending on the environment into which the application is deployed.
- Place the nodes of Elasticsearch in the same rack, within the same data center, or at least within the same availability zone to avoid unnecessary network overhead.
- Implement query patterns that minimize data transfer between nodes (e.g., cross-cluster search, remote clusters).
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.
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