Monitor Your Kubernetes Cluster with Datadog
In this workshop, you will use the Datadog Operator to deploy the Datadog Agent and Cluster Agent in a Kubernetes environment.
The video for this workshop was originally recorded for a live workshop that took place at Dash. If you want to see this topic as a fully-supported self-paced course, please fill out the feedback survey following the lab to submit your vote.
Every day, new companies are adopting Kubernetes as the base for their internal development platforms and increasing the number of workloads that they are running on top of the orchestrator. For their platform teams, learning how to successfully monitor Kubernetes and identify potential issues becomes critical.
In this hands-on workshop, you will use the Datadog Operator to deploy the Datadog Agent and Cluster Agent in a Kubernetes environment. You will learn how to use the Live Containers view, Live Process view, and Kubernetes view to understand the state of your cluster. We will also walk through some of the key metrics to pay attention to when operating Kubernetes and show you how to enable monitors for them. Using simulated outages, you will identify potential issues in a cluster, find the root causes, fix the issues, and get the cluster back to a working state.
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 workshop.
Introduction
Known bugs
Video Lesson
Lab: Monitor Your Kubernetes Cluster with Datadog
Feedback
Further Reading
Slides