DZone

Introduction

Elasticsearch clusters have been around for a while, scaling petabytes of data & billions of requests. The majority of the industrial use cases have leveraged Elasticsearch for observability of the high volume user traffic or server-side interactions.

Added with the full package of the beats to collate data and visualize using Kibana dashboards, it’s quick to integrate and start collecting metrics or events or logs into this powerhouse. However, it’s only when the scale increases with higher retention windows—things go topsy turvy. Now you need to start looking in deeper to understand how the system works and what it takes to scale the cluster. 

Source: DZone