Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Elastic Stack 8.x Cookbook
  • Toc
  • feedback
Elastic Stack 8.x Cookbook

Elastic Stack 8.x Cookbook

By : Huage Chen, Yazid Akadiri
5 (3)
close
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)
close

Investigating data with change point detection

As part of AIOps Labs, change point detection helps identify critical moments of change in time series data, which can indicate shifts in patterns or behaviors. It enables early anomaly detection, allowing organizations to respond swiftly to unexpected events or irregularities. Furthermore, it supports data-driven decision-making by providing insights into when and where changes are occurring. It can be applied in various domains such as finance, cybersecurity, industry, and transport, to enable proactive actions and enhance overall data analysis.

In this recipe, we will use change point detection to further explore our Rennes traffic data.

Getting ready

We’ll keep using our Rennes traffic dataset, so make sure to have some data in your cluster. If you don’t, follow the Exploring your data in Discover recipe in Chapter 6.

How to do it...

  1. Head to Kibana | Analytics| Machine Learning | AIOps Labs and click...
bookmark search playlist download font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete