You're reading from Machine Learning with the Elastic Stack - Second Edition

Product typeBook

Published inMay 2021

Reading LevelBeginner

PublisherPackt

ISBN-139781801070034

Edition2nd Edition

Languages

Python

Tools

Elasticsearch

Concepts

Machine Learning

Authors (3):

Rich Collier

Camilla Montonen

Bahaaldine Azarmi

View More author details

Enabling Elastic ML features

The process for enabling Elastic ML features inside the Elastic Stack is slightly different if you are doing so within a self-managed cluster versus using the Elasticsearch Service (ESS) of Elastic Cloud. In short, on a self-managed cluster, the features of ML are enabled via a license key (either a commercial key or a trial key). In ESS, a dedicated ML node needs to be provisioned within the cluster in order to utilize Elastic ML. In the following sections, we will explain the details of how this is accomplished in both scenarios.

Enabling ML on a self-managed cluster

If you have a self-managed cluster that was created from the downloading of Elastic's default distributions of Elasticsearch and Kibana (available at elastic.co/downloads/), enabling Elastic ML features via a license key is very simple. Be sure to not use the Apache 2.0 licensed open source distributions that do not contain the X-Pack code base.

Elastic ML, unlike the bulk...

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Machine Learning with the Elastic Stack - Second Edition

Published in: May 2021Publisher: PacktISBN-13: 9781801070034

Authors (3)

Rich Collier

Rich Collier is a solutions architect at Elastic. Joining the Elastic team from the Prelert acquisition, Rich has over 20 years' experience as a solutions architect and pre-sales systems engineer for software, hardware, and service-based solutions. Rich's technical specialties include big data analytics, machine learning, anomaly detection, threat detection, security operations, application performance management, web applications, and contact center technologies. Rich is based in Boston, Massachusetts.
Read more about Rich Collier

Camilla Montonen

Camilla Montonen is a Senior Machine Learning Engineer at Elastic.
Read more about Camilla Montonen

Bahaaldine Azarmi

Bahaaldine Azarmi, Global VP Customer Engineering at Elastic, guides companies as they leverage data architecture, distributed systems, machine learning, and generative AI. He leads the customer engineering team, focusing on cloud consumption, and is passionate about sharing knowledge to build and inspire a community skilled in AI.
Read more about Bahaaldine Azarmi

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You're reading from Machine Learning with the Elastic Stack - Second Edition

Enabling Elastic ML features

Enabling ML on a self-managed cluster

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Authors (3)

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