The index lifecycle management (ILM) APIs enable you to automate how you want to manage your indices over time. In addition to performing management actions on a set schedule, you can modify indices on other factors such as shard size or performance requirements.
In this webinar, we will explore the benefits of ILM by leveraging concepts from the Elasticsearch Engineer II course. We will teach you about the rollover index API and how to use it within Kibana to retire an index that is too large or dated.
- What is the rollover index API?
- Defining an ILM policy in Kibana
- Managing index rollover