Elastic Observability Engineer

Training

Course Summary

This two-part, instructor-led course provides a strong foundation on using the Elastic Stack to implement system observability. You will learn how to collect logs, metrics, and APM data, and then ship them to a single datastore — Elasticsearch. You will also learn how unified observability data can be made even more actionable through machine learning and alerting, as well as easier to correlate data across different sources. Using Kibana, you will also explore how to visualize your observability data through an intuitive user interface. After completing this two-part course, you will be well on your way to becoming an Elastic Certified Observability Engineer.

Topics Covered (Part 1)

  • Observability fundamentals
  • Elasticsearch for time-series data
  • Shipping metric data
  • Shipping log data
  • Application performance monitoring (APM)
  • Observability apps

Topics Covered (Part 2)

  • Structuring data
  • Processing data
  • Kibana for time series
  • Data ingestion architectures
  • Monitoring the Elastic Stack
  • Machine learning and alerting on observability data

Course Details

Audience

Software Developers, Software Engineers, Data Architects, System Administrators, DevOps

Duration (per part)

Virtual - 4 days | 4 hours per day

Upcoming Classes

Prerequisites

No prior knowledge of the Elastic Stack required

Requirements

  • Mac, Linux, or Windows
  • Stable internet connection (virtual classroom)
  • Latest version of Chrome or Firefox (other browsers not supported)
  • Disable any ad blockers and restart your browser before class

Upcoming Courses - Elastic Observability Engineer (Part 1)

  • Virtual

    Jun 1 - Jun 4, 2020

    9:00 am - 1:00 pm PDT

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  • Virtual

    July 6 - July 9, 2020

    9:00 am - 1:00 pm PDT

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  • Virtual

    May 18 - May 21, 2020

    11:00 am - 3:00 pm CDT

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  • Virtual

    Jun 15 - Jun 18, 2020

    11:00 am - 3:00 pm CDT

    Register Now