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DataDog for Monitoring Docker and Kubernetes [Beginner]

Master DataDog Monitoring fundamentals while practicing on Docker and Kubernetes clusters

DataDog for Monitoring Docker and Kubernetes [Beginner]

Udemy Offer Course Description

Would you drive a car without a speedometer and a seatbelt? No. Similarly you cannot go about creating and managing software applications and infrastructure without a monitoring tool. DataDog is the top choice for monitoring tools out there, and it gives you complete visibility into your tech stack. DataDog has plenty of features. Most importantly it integrates well with Kubernetes giving you information about individual pods, deployments along with their logs and events.

This course will guide you through why we need monitoring and how to setup DataDog on docker and kubernetes for this purpose. Much of this course is from the instructor's experience as a DevOps engineer. Having used DataDog to monitor Kubernetes clusters for many years, it will include many tips and tricks of the trade :) .

In this course we will cover:

  • Why do we care about monitoring

  • The DataDog Architecture

  • The DataDog UI

  • Deploy DataDog agents on your machines, docker containers and Kubernetes clusters

  • How to setup DataDog in real life situations

  • Setup Docker and Minikube on your machine

  • The Integration between DataDog and Kubernetes

  • The Difference types of metrics reported by DataDog

  • Three pillars of observability

  • Use DataDog for tagging metrics

  • Alerting via Slack and Email

  • Configuring Logs and Events from Kubernetes and Docker in DataDog


Everything is well documented and separated, so you can find what you need. Assignments and Quizzes will make sure you stay on track and test your knowledge. The course will have a combination of theory and practical examples.

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