Elasticsearch is highly scalable, but some recent additions make it easier to tie everything together. In this talk we discuss:
- Lifecycle Management or how to automate having a multi-tier architecture as well as automated snapshots and how this actually works in the background.
- Frozen Indices for much higher storage density per Elasticsearch node and its tradeoffs.
- Rollups or how to aggregate metrics over time.
The goal of this talk is to make your cluster management less complex and more cost effective.
Demo: The repository with the Docker Compose setup, configurations, and demo script for frozen indices are available on GitHub.