Elasticsearch is highly scalable, but some recent additions make it easier to tie everything together. In this talk we discuss:
- Index Lifecycle Management or how to automate having a multi-tier architecture 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.
The repository with the Docker Compose setup, configurations, and demo script for frozen indices are available on GitHub.