This course is for intermediate+ DevOps software engineer to learn observability in Kubernetes using Datadog (monitoring, logging, alerting).
If you are one of the below:
- what is Datadog and datadog agentg?
- how can I aggregate and analyze K8s logs?
- what is APM (App Performance Monitoring)?
- what are Datadog features/services?
Then, you will understand the basics of Datadog in 30 minutes!
Who should take this course
at least intermediate level in DevOps, Kubernetes, and Docker
you know how to use Helm chart
you have setup K8s cluster in AWS EKS (or GKE etc)
Why you should take this course:
1. Instructed by a cloud DevOps engineer (with CKA and certified AWS DevOps pro) working at US company in SF
I have been pretty handson with Terraform, AWS, AWS EKS with 7+ industry experience in both North America and Europe.
My background & Education & Career experience
Cloud DevOps Software Engineer with 7+ years experience
Bachelor of Science in Computing Science from a Canadian university
Knows Java, C#, C++, Bash, Python, JavaScript, Terraform, IaC
Expert in AWS (holds AWS DevOps Professional certification) and Kubernetes (holds Certified Kubernetes Administrator, CKA)
I will see you inside!
Please note this is a free sample course for "Datadog in Kubernetes"
NOTE: This is a free intro course for "Datadog in Kubernetes".
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