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A Cloud Guru

Streaming Data in Elasticsearch 7.13

In previous versions of Elasticsearch, you had to use a series of APIs to continuously stream data to a “hot” index alias and roll that alias over to new indices as they filled up. Now, in recent versions of Elasticsearch, we can leverage data streams to handle this operation for us. In this hands-on lab, you will create data streams for time-series data in Elasticsearch so that we can continuously write data to indices that automatically rollover when they reach a specified size or age.

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Path Info

Level

Advanced

Duration

1h 0m

Published

Jan 28, 2022

Challenge

Create the apache_policy ILM Policy
1. Create the new apache_policy index lifecycle management (ILM) policy.
2. Configure the rollover action for the hot phase to trigger at a max primary shard size of 5gb.
3. Configure the hot phase to forcemerge rolled over indices into a single segment.
4. Configure the hot phase to set rolled over indices to readonly.
5. Configure the delete phase to delete all indices with a minimum age of 90 days.
Challenge

Create the apache_template Index Template
1. Create the new apache_template index template.
2. Configure the index template to use the apache_stream data stream.
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 apache_policy ILM policy.
Challenge

Start and Verify the apache_stream Data Stream
1. Start the apache_stream data stream.
2. Verify that the apache_stream data stream was created with the apache_template template and has the apache_policy ILM policy.

Author

A Cloud Guru

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

What's a lab?

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.