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LinkedIn Learning

Monitoring and Observability with Datadog

via LinkedIn Learning

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Overview

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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

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