This course, a prerequisite for all Learning Center courses and workshops, sets you up in the learning environment and helps you get comfortable with its various controls and screens.
What is observability? This question needs to be answered before you start using the Datadog platform. In this introductory course we’ll cover the three pillars of observability and prepare you to move on to our Datadog 101 training.
Datadog’s core suite of tools gives SREs the ability to view their entire infrastructure at a glance as well as zoom in on individual components such as processes. This course teaches you how to use these capabilities effectively.
Learn the Datadog features and capabilities that are most fundamental to the application developer role, such as working with integrations, configuring your services for APM and log collection, synthetic API and browser testing, and RUM.
In the course, you instrument an app for Datadog APM and then explore many APM features, including Traces Search, Live Search, Trace View, Services List, Service Page, Resource Page, and Service Map.
In this course, you learn the basics of Log Management in Datadog, including log collection, log querying and analytics, log-based metrics and monitoring, log processing, and log storage and access control.
Complete the courses in this learning path to build a foundation of basic knowledge about the Datadog platform and its core offerings. Upon completion, you will receive a Credly badge for Datadog Fundamentals I.
Complete the courses in this learning path to build a foundation of basic knowledge about monitoring in a Kubernetes environment with Datadog. Upon completion, you will receive a Credly badge for Kubernetes Fundamentals.
Complete the courses in this learning path to build a foundation of basic knowledge about Datadog Log Management. Upon completion, you will receive a Credly badge for Log Management.
