Datadog: Getting started with the Helm Chart
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use the Datadog Helm Chart.
In this lab you will run the Datadog Agent in a Kubernetes cluster as a DaemonSet in order to start collecting your cluster and applications metrics, traces, and logs. You can deploy a Datadog Agent with a Helm chart or directly with a DaemonSet object YAML definition.
In this lab you will be explaining and using those options in a real cluster, checking in real time the features they enable.
Watch on Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Tool Use & Function Calling
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
What if an AI continued thinking even after you closed the chat?
Dev.to · Stell
UI/UX is for humans. DX is for developers. AX is for AI agents – and we just built it.
Dev.to · anhmtk
Agent cost bugs are debugging bugs
Dev.to AI
Agent Boosting: The Missing Workflow for Getting Real Results from AI Coding Agents
Dev.to AI
🎓
Tutor Explanation
DeepCamp AI