Title

Datadog Observability (Monitoring, Logging, Alerting) in K8s

Learn how to use Datadog for Kubernetes observability (AWS EKS)

4.09 (11 reviews)
Udemy
platform
English
language
Other
category
Datadog Observability (Monitoring, Logging, Alerting) in K8s
122
students
5 hours
content
Jan 2023
last update
$19.99
regular price

What you will learn

Datadog dashboard

Infrastructure dashboard

Datadog Logging

Datadog Events

Datadog APM

Datadog Synthetics test

Datadog Alerting

Why take this course?

πŸŽ‰ Master Kubernetes Observability with Datadog on AWS EKS! πŸ› οΈ


Course Title:

Datadog Observability (Monitoring, Logging, Alerting) in Kubernetes

Course Headline:

Unlock the Power of Kubernetes Observability with Datadog - Your Path to AWS EKS Mastery Awaits!


Course Description:

This intermediate+ level course is meticulously designed for DevOps software engineers who aim to elevate their understanding and application of observability within Kubernetes environments using Datadog. πŸš€

If you're pondering over these questions, this course is your answer:

  • "What is Datadog and how does the Datadog agent work?"
  • "How can I aggregate and analyze K8s logs?"
  • "What is APM (App Performance Monitoring)? How does it differ from traditional monitoring tools?"
  • "What are the key features and services offered by Datadog?"

With just 30 minutes, you'll grasp the fundamentals of Datadog and set a strong foundation for your journey into observability! πŸ“šβœ¨


Who Should Take This Course:

This course is ideal for professionals who:

  • Have an intermediate level or higher expertise in DevOps, Kubernetes, and Docker.
  • Are adept at using Helm charts.
  • Have experience setting up a K8s cluster in AWS EKS (or GKE, etc.).

Why You Should Take This Course:

  1. Expert Instructors: Taught by a seasoned cloud DevOps engineer with over 7 years of industry experience across North America and Europe. The instructor holds both the CKA (Certified Kubernetes Administrator) and certified AWS DevOps professional certifications.

  2. Hands-On Experience: Learn from someone who has been hands-on with Terraform, AWS, and AWS EKS. Our instructor's background spans a multitude of technologies including Java, C#, C++, Bash, Python, JavaScript, Terraform, and IaC (Infrastructure as Code).

  3. Comprehensive Background: The course is delivered by an individual with a Bachelor of Science in Computing Science, a professional who deeply understands the intersection of cloud computing, DevOps, and Kubernetes.


Course Instructor Background & Education:

  • Cloud DevOps Software Engineer with 7+ years of experience.
  • Holder of both CKA (Certified Kubernetes Administrator) and AWS DevOps Pro certifications.
  • Bachelor of Science in Computing Science from a Canadian university.
  • Proficient in multiple programming languages and cloud technologies, including AWS and Kubernetes.

Join Now & Unlock Expertise! 🌟

This course is a free sample of the full "Datadog in Kubernetes" curriculum, designed to give you a taste of what's to come. Dive into the world of observability and gain invaluable insights into monitoring, logging, and alerting within Kubernetes environments using Datadog on AWS EKS.

Note: This free introductory course is a perfect starting point for those interested in learning more about how Datadog can revolutionize your approach to managing and understanding complex Kubernetes clusters. πŸ’‘πŸ”§


Enroll Now & Begin Your Observability Journey with Datadog & Kubernetes!

Don't miss out on this opportunity to master observability in Kubernetes with the leading tool in the space - Datadog. Sign up for our free sample course and take the first step towards becoming a Kubernetes observability expert today! πŸš€πŸ“ˆ

Reviews

Rahul
June 12, 2023
I dont want to discourage the effort put but the instructor, but I was unable to understand the accent. And some topics were not given complete explanation If that is overcome, then this course is worth ~$70 but not ~$120 (it is expensive and no coupons or not put on sale)
Bhavya
January 29, 2023
APM part is confusing, that main thing I brought the course, this course need more content around APM

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Enrollment distribution

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5032740
udemy ID
20/12/2022
course created date
25/01/2023
course indexed date
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