Abstract

Datadog adds powerful visualization and querying tools on top of existing OTel instrumentation. First, you'll explore metric types, best practices, and important OTel metric concepts. Then, you'll add OTel custom metrics to a Kubernetes application for use in Datadog. After instrumentation, you'll visualize your OTel metrics using Datadog's query and aggregation tools.

Learning Objectives

By the end of this course, you'll be able to do the following:

  • Instrument a service with OTel custom metrics
  • Compare the tradeoffs between custom metric types
  • Describe tagging best practices for OTel metrics
  • Find and visualize custom metrics within Datadog

Primary Audience

This course is for developers and SREs working on OTel-configured applications who are familiar with monitoring basics such as metrics, logs, and traces. You have created metrics previously, and want to use best practices for Datadog compatibility.

Prerequisites

Before taking this course you should know the following:



Technical Requirements

In order to complete the course, you will need:

  • Google Chrome or Firefox
  • Third-party cookies must be enabled to access labs

Course Navigation

At the bottom of each lesson, click MARK LESSON COMPLETE AND CONTINUE button so that you are marked complete for each lesson and can receive the certificate at the end of the course.

Course Enrollment Period

Please note that your enrollment in this course ends after 30 days. You can re-enroll at any time and pick up where you left off.

Course curriculum

    1. Introduction

    1. OTel Custom Metrics

    2. Lab Preview

    3. Lab: Create Custom Metrics

    1. Conclusion

    2. Feedback Survey

Create Custom Metrics with OpenTelemetry

  • 1 hours to complete
  • 3 Lessons
  • Beginner
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