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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.

Lab Info
Table of Contents
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Challenge
Create the audit_policy ILM Policy
- Create the new
audit_policy
index lifecycle management (ILM) policy. - Configure the
cold
phase with a minimum age of 7 days and thefreeze
andreadonly
actions. - Configure the
delete
phase with a minimum age of 365 days and thedelete
action.
- Create the new
-
Challenge
Create the audit_template Index Template
- Create the new
audit_template
index template. - Configure the index pattern to match any index that starts with
audit-
. - Configure the index template to create indices with
1
primary and0
replica shards. - Configure the index template to create indices that use the
audit_policy
ILM policy.
- Create the new
-
Challenge
Create and Verify the First audit-DD-MM-YYYY Index
- Create the first
audit-DD-MM-YYYY
index using the current date. - Verify that the index was created under the
audit_template
template and has theaudit_policy
ILM policy.
- Create the first
About the author
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