Machine Learning with the Elastic Stack

Leverage Elastic Stack’s machine learning features to gain valuable insight from your data

Machine Learning with the Elastic Stack

Rich Collier, Bahaaldine Azarmi

1 customer reviews
Leverage Elastic Stack’s machine learning features to gain valuable insight from your data
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Book Details

ISBN 139781788477543
Paperback304 pages

Book Description

Machine Learning with the Elastic Stack is a comprehensive overview of the embedded commercial features of anomaly detection and forecasting. The book starts with installing and setting up Elastic Stack. You will perform time series analysis on varied kinds of data, such as log files, network flows, application metrics, and financial data.

As you progress through the chapters, you will deploy machine learning within the Elastic Stack for logging, security, and metrics. In the concluding chapters, you will see how machine learning jobs can be automatically distributed and managed across the Elasticsearch cluster and made resilient to failure.

By the end of this book, you will understand the performance aspects of incorporating machine learning within the Elastic ecosystem and create anomaly detection jobs and view results from Kibana directly.

Table of Contents

What You Will Learn

  • Install the Elastic Stack to use machine learning features
  • Understand how Elastic machine learning is used to detect a variety of anomaly types
  • Apply effective anomaly detection to IT operations and security analytics
  • Leverage the output of Elastic machine learning in custom views, dashboards, and proactive alerting
  • Combine your created jobs to correlate anomalies of different layers of infrastructure
  • Learn various tips and tricks to get the most out of Elastic machine learning

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Table of Contents

Book Details

ISBN 139781788477543
Paperback304 pages
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