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FREE Datadog Observability (Monitoring/Logging/Alerting)
Rating: 4.0 out of 5(173 ratings)
4,368 students

FREE Datadog Observability (Monitoring/Logging/Alerting)

Free intro overview course for "Datadog for Kubernetes"
Created byDevOps大学 | CKA & CKS & AWS DevOps Pro (元GAFAM現シリバレエンジニア)
Last updated 3/2022
English

What you'll learn

  • Datadog dashboard
  • Infrastructure dashboard
  • Datadog Logging
  • Datadog Events
  • Datadog APM

Course content

3 sections • 11 lectures • 34m total length

  • 1.0 Datadog overview4:17
  • 1.1 Integration0:47
  • 1.2 Dashboard4:05
  • 1.3 Infra4:31
  • 1.4 Logs2:48

    Explore log management with Datadog's aggregate search and visualizations, filtering by service and namespace, and time series graphs to identify patterns, redundant records, and opportunities to adjust log levels.

  • 1.5 Events4:36
  • 1.6 APM2:38

    Explore application performance monitoring (APM) and how the killer dashboard reveals HTTP request latency, traces, and service topology with Prometheus and Gravano dashboards.

  • 1.7 Synthetic tests2:36
  • 1.8 Network1:30

Requirements

  • intermediate DevOps
  • intermediate in K8s and AWS EKS

Description

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".

Who this course is for:

  • intermediate DevOps
  • DevOps who want to improve K8s monitoring and loggings

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