Data Tiers

Data tiers in Elasticsearch refer to the strategy of categorizing and storing data based on its access frequency and importance. This approach involves segregating data into different storage types (like hot, warm, cold, and frozen) to optimize performance, cost, and resource utilization. By aligning data storage with its usage patterns, organizations can efficiently manage large volumes of data while maintaining acceptable query speeds and minimizing infrastructure expenses.

Visit the following resources to learn more:

• @official@Data tiers
• @official@Elastic data tiering strategy: Optimizing for a resilient and efficient implementation
• @official@What’s the difference? Elastic and Splunk data tiers
• @article@Elasticsearch Multi-Tier Architecture – How to Set Up a Hot/Warm/Cold/Frozen Elasticsearch Architecture
• @article@Managing Elasticsearch Storage Tiers: Hot, Warm, Cold, and Frozen
• @video@Setting Up Data Tiers (Snippet)