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

Deploying third-party NLP models and testing via the UI

In the previous recipe, we learned how to use a trained ML model for inference. With the Elastic Stack, we can extend the application of trained models to Natural Language Processing (NLP) use cases. In this recipe, we will learn how to deploy a third-party NLP model and test it.

Getting ready

Ensure you have Python 3.11 or later installed on your system and an Elastic 8.x deployment running. We recommend installing pip for easy package management, which you can do by following the instructions at https://pip.pypa.io.

For this recipe, you will need the Cloud ID as well as the username and password for basic authentication to your Elastic Cloud deployment. Recall that we saved the password for our default user, elastic, in the Deploying the Elastic Stack on Elastic Cloud recipe in Chapter 1. You can find instructions for locating your Cloud ID in the management console in that same recipe.

The snippets of this recipe...

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