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You're reading from Machine Learning with the Elastic Stack Expert techniques to integrate machine learning with distributed search and analytics

Product type Paperback

Published in Jan 2019

Publisher Packt

ISBN-13 9781788477543

Length 304 pages

Edition 1st Edition

Tools

Elasticsearch

Concepts

Machine Learning

Authors (2):

Bahaaldine Azarmi

Rich Collier

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Table of Contents (12) Chapters

Preface

Machine Learning for IT FREE CHAPTER

Installing the Elastic Stack with Machine Learning

Event Change Detection

IT Operational Analytics and Root Cause Analysis

Security Analytics with Elastic Machine Learning

Alerting on ML Analysis

Using Elastic ML Data in Kibana Dashboards

Using Elastic ML with Kibana Canvas

Forecasting

ML Tips and Tricks

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A guided tour of Elastic ML features

Now that we have Elastic ML enabled, we will use the remainder of this chapter to take a cursory overview of ML capabilities by using the data collected by Metricbeat (which collects and ships system performance metrics to Elasticsearch) as a mechanism to help us manifest some use cases. We will create a variety of ML analysis jobs via the Kibana plugin for ML, and will also learn how to interact with ML via its API.

Getting data for analysis

ML is not very exciting without data in Elasticsearch to analyze. So, let's get some using Metricbeat! Metricbeat is easy to install and configure. It serves as a great source of raw telemetry data that is perfect for ML. Follow along—we...

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Authors (2)

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.

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Bahaaldine Azarmi

Bahaaldine Azarmi, or Baha for short, is the head of solutions architecture in the EMEA South region at Elastic. Prior to this position, Baha co-founded ReachFive, a marketing data platform focused on user behavior and social analytics. He has also worked for a number of different software vendors, including Talend and Oracle, where he held positions as a solutions architect and architect. Prior to Machine Learning with the Elastic Stack, Baha authored books including Learning Kibana 5.0, Scalable Big Data Architecture, and Talend for Big Data. He is based in Paris and holds an MSc in computer science from Polytech'Paris.

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