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Elastic Stack 8.x Cookbook

Elastic Stack 8.x Cookbook

By : Huage Chen, Yazid Akadiri
5 (3)
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Elastic Stack 8.x Cookbook

Elastic Stack 8.x Cookbook

5 (3)
By: Huage Chen, Yazid Akadiri

Overview of this book

Learn how to make the most of the Elastic Stack (ELK Stack) products—including Elasticsearch, Kibana, Elastic Agent, and Logstash—to take data reliably and securely from any source, in any format, and then search, analyze, and visualize it in real-time. This cookbook takes a practical approach to unlocking the full potential of Elastic Stack through detailed recipes step by step. Starting with installing and ingesting data using Elastic Agent and Beats, this book guides you through data transformation and enrichment with various Elastic components and explores the latest advancements in search applications, including semantic search and Generative AI. You'll then visualize and explore your data and create dashboards using Kibana. As you progress, you'll advance your skills with machine learning for data science, get to grips with natural language processing, and discover the power of vector search. The book covers Elastic Observability use cases for log, infrastructure, and synthetics monitoring, along with essential strategies for securing the Elastic Stack. Finally, you'll gain expertise in Elastic Stack operations to effectively monitor and manage your system.
Table of Contents (16 chapters)
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Downsampling your time series data

Downsampling, introduced in Elastic 8.7, reduces the granularity of your data by utilizing less detailed time series data. This feature offers flexibility in managing historical metrics within your budget and improves visualization performance in Lens, Timelion, or Time Series Visual Builder (TSVB) when dealing with large datasets.

In this recipe, we will configure downsampling for our Rennes traffic TSDS.

Getting ready

To perform downsampling on your time series data, you need to do the following:

  • Complete the previous recipe of this chapter, Creating a Logstash pipeline
  • Make sure the Rennes traffic data is correctly ingested to the metrics-rennes_traffic-default TSDS

How to do it...

We need to configure an index lifecycle policy to control how our data ages and when it transitions between different phases. Let’s locate and adjust the lifecycle policy for the metrics-rennes_traffic-default data stream.

    ...
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