Search 6,000+ CA Community College Courses

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

LinkedIn Learning

Monitoring and Observability with Datadog

via LinkedIn Learning

Go to class Write review

Overview

Learn how to maximize monitoring using Datadog and build services and infrastructure that are observable—a key criteria for building reliable systems.

Syllabus

Introduction
  • Datadog and observability
  • What you need to know
1. Introduction to Observability
  • What is observability?
  • What is Datadog?
2. Infrastructure Monitoring
  • What is infrastructure monitoring?
  • Understanding Datadog infrastructure metrics
3. Application Performance Monitoring
  • What is APM?
  • Understanding Datadog APM metrics and error tracking
  • Defining SLIs, SLOs, and error budgets with Datadog
  • Customizing APM metrics and traces on Datadog
4. Logging without Limits
  • Enabling Datadog logs
  • Analyzing logs with Datadog
  • Defining a robust logging pipeline on Datadog
  • Creating custom metrics with logs
  • Correlating logs and APM metrics on Datadog
5. Utilizing Datadog Metrics
  • Building Datadog dashboards
  • Setting up Datadog monitors
  • Datadog Synthetics tests
  • Datadog incidents
Conclusion
  • Leveraging Datadog integrations
  • Anomaly detection with Datadog
  • Next steps

Taught by

Ibukun Itimi

Reviews

4.6 rating at LinkedIn Learning based on 281 ratings

Start your review of Monitoring and Observability with Datadog

Go to class

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.