Title: ElasticSearch - Managing your Data - ILM: Manage the Index Lifecycle

Are you aware that your cost and performance of Elastic can have dramatic impacts if you haven't define the appropriate ILM? In this meetup up, we will cover how you can configure index lifecycle management (ILM) policies to automatically manage indices according to your performance, resiliency, and retention requirements. For example, you could use ILM to:

Spin up a new index when an index reaches a certain size or number of documents

Create a new index each day, week, or month and archive previous ones

Delete stale indices to enforce data retention standards

You can create and manage index lifecycle policies through Kibana Management or the ILM APIs. Default index lifecycle management policies are created automatically when you use Elastic Agent, Beats, or the Logstash Elasticsearch output plugin to send data to the Elastic Stack.

Schedule:

6:00pm - Doors Open

6:30pm - Presentation (followed by networking and refreshments)

8:00pm - Event Ends