Managing Indices with Index Lifecycle Management (ILM) in Elasticsearch 7.13

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Managing Indices with Index Lifecycle Management (ILM) in Elasticsearch 7.13

Efficiently ingesting continuously generated data 24/7 is one of the many things Elasticsearch is very good at. But eventually, you're going to run out of space. This is why it is important to leverage the index lifecycle management (ILM) feature in Elasticsearch. In this hands-on lab, you will create ILM policies in Elasticsearch to optimize and move cold data to slower nodes and to retire old data to free up space.

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Lab Info

Level

Advanced

Last updated

Nov 05, 2025

Duration

1h 0m

Challenge

Create the audit_policy ILM Policy
1. Create the new audit_policy index lifecycle management (ILM) policy.
2. Configure the cold phase with a minimum age of 7 days and the freeze and readonly actions.
3. Configure the delete phase with a minimum age of 365 days and the delete action.
Challenge

Create the audit_template Index Template
1. Create the new audit_template index template.
2. Configure the index pattern to match any index that starts with audit-.
3. Configure the index template to create indices with 1 primary and 0 replica shards.
4. Configure the index template to create indices that use the audit_policy ILM policy.
Challenge

Create and Verify the First audit-DD-MM-YYYY Index
1. Create the first audit-DD-MM-YYYY index using the current date.
2. Verify that the index was created under the audit_template template and has the audit_policy ILM policy.

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