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

Product typeBook
Published inMay 2021
Reading LevelBeginner
PublisherPackt
ISBN-139781801070034
Edition2nd Edition
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Authors (3):
Rich Collier
Rich Collier
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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
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Camilla Montonen

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

Bahaaldine Azarmi
Bahaaldine Azarmi
author image
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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Anomaly detection in the Uptime app

The Uptime app allows simple availability and response time monitoring of services via a variety of network protocols, including HTTP/S, TCP, and ICMP:

  1. Often classified as synthetic monitoring, the Uptime app uses Heartbeat to actively probe network endpoints from one or more locations:

      

    Figure 8.25 – The Uptime app in Kibana

  2. If you would like to enable anomaly detection on a monitor, simply click on the monitor name to see the monitor detail. Within the Monitor duration panel, notice the Enable anomaly detection button:

      

    Figure 8.26 – Enabling anomaly detection for an Uptime monitor

  3. Clicking on the Enable anomaly detection button creates the job in the background and offers the user the option to create an alert for anomalies surfaced by the job:

      

    Figure 8.27 – Creating an alert on the anomaly detection job in the Uptime app

  4. Once the anomaly detection job is available, any anomalies...
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Machine Learning with the Elastic Stack - Second Edition
Published in: May 2021Publisher: PacktISBN-13: 9781801070034

Authors (3)

author image
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

author image
Camilla Montonen

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

author image
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