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Let’s jump into index lifecycle management (ILM) by working through a hands-on scenario. This section will leverage many new concepts unique to ILM that you may not be familiar with. The following sections will explore these in more details.
The goal of this example is to set up a set of indices that will encapsulate the data from a time series data source. We can imagine there is a system like Filebeat that continuously indexes documents into our writing index. We wish to roll over the index after it reaches a size of 50 gigabytes, or has been created 30 days ago, and then delete the index after 90 days.
Intro to Kibana
ELK for Logs & Metrics