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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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Creating anomaly detection jobs from a Lens visualization

In the previous recipe, we explored the manual creation of anomaly detection jobs. You may often begin your analysis with insights gathered from dashboards and visualizations to comprehend your data’s seasonality. A natural progression from this analysis might be to create an anomaly detection job to monitor the aggregations you’ve identified in your Lens visualization. In this recipe, we’ll demonstrate how to initiate an anomaly detection job directly from within a Lens visualization.

Getting ready

To follow along with this recipe, make sure to have completed the following:

  • The Exploring your data in Discover recipe in Chapter 6
  • The previous Detecting anomalies in your data with unsupervised machine learning jobs recipe in this chapter

How to do it...

  1. Go to Kibana | Analytics | Dashboard and open the dashboard we created in Chapter 6, titled [Rennes Traffic] Overview Dashboard...
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