Moogsoft AIOps Implementer Training

Moogsoft AIOps Implementer Training


The AIOps Implementer Training provides an in-depth exploration of the AIOps implementation process, and shows students how to configure and run the AIOps components, including thorough use of LAMBots, MooBots, and other product components. The student will learn the entire AIOps data workflow, from event ingestion through Situation management, and will learn which components perform each task, how each component is implemented, how to configure each component, and what the main integration and extension points are throughout the workflow. Note that the Implementer role generally covers topics requiring direct access to the AIOps machine via SSH. Most UI-based administration and configuration topics are not covered in the Implementer role. These topics are covered in the Administrator training.

After completing this course, students will have the knowledge they need to begin implementing AIOps functionality or to work on an existing AIOps implementation at the code and configuration level.

*The labs in the implementer class involve console access to the lab systems via ssh. To take full advantage of all the Implementor labs you will need to have a ssh client (like putty) and be able to access the standard ssh port (port 22) on our training systems from your location. If you can not access port 22 from your location due to company firewalls you will be assigned a limited version of the labs.

The Moogsoft Instructor will not be in a position to assist in the installation of a ssh client nor will they be able to troubleshoot port 22 connectivity issues for individuals.

Need training right away? The session recording is available here.


This course is intended for students who will be responsible for understanding and changing the AIOps server-side configuration, or who will be implementing an AIOps deployment. It makes extensive use of Linux command line operations and scripts. Students will perform a number of hands-on labs via the Linux command line, and familiarity with basic Linux commands and editors is highly recommended.

Topics Covered

  • Component Architecture
  • Data Ingestion - Components and configuration
  • Alert Processing - Components and configuration
  • Situation Creation - Components and configuration
  • In-depth exploration of moogfarmd processes
  • Alert and Situation Enrichment strategies and implementation
  • SAML 2.0 Integration
  • Working with client and server tools in AIOps
  • Grafana Integration for Dashboards and Reports
  • Duration

    3 Days

    Additional Notes

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    Upcoming Classes


    Instructor-led online training

    Location Nov 2019 Dec 2019 Jan 2020 Feb 2020 Mar 2020
    Online US Nov 20 – Nov 22
    Dec 18 – Dec 20
    Online EMEA Dec 18 – Dec 20

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