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Datadog for Beginners: Monitoring Made Simple

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Coursera

Datadog for Beginners: Monitoring Made Simple

Starweaver
Ritesh Vajariya

Instructors: Starweaver

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Configure Datadog agents and integrations to collect metrics, logs, and traces from applications and infrastructure.

  • Design and build actionable dashboards that provide real-time visibility into system health and performance.

  • Implement intelligent alerting strategies with proper thresholds, notification channels, and escalation policies.

Details to know

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Recently updated!

December 2025

Assessments

1 assignment¹

AI Graded see disclaimer
Taught in English

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There are 3 modules in this course

In this module, learners will explore how to install and configure Datadog agents to capture key performance metrics from infrastructure and applications. They will develop foundational monitoring capabilities using Datadog integrations and apply structured testing methods to assess and enhance monitoring effectiveness. The module emphasizes achieving full observability for production systems through well-designed, data-driven monitoring practices.

What's included

4 videos2 readings1 peer review

This module guides learners in mastering effective dashboard design principles that emphasize clarity over complexity. Learners will explore how to build comprehensive visualizations using Datadog’s widget library and advanced query language. The module also covers designing stakeholder-specific dashboards that clearly communicate system health and performance insights to diverse audiences, including executives, engineers, and support teams.

What's included

3 videos1 reading1 peer review

In this module, learners will learn how to create smart and sustainable alerting systems that detect incidents efficiently while avoiding unnecessary noise and fatigue. They will configure intelligent monitors leveraging features like anomaly detection, forecasting, and composite conditions. Learners will also design escalation and notification workflows to deliver timely alerts to the correct stakeholders via optimal channels, ensuring swift and effective incident response.

What's included

4 videos1 reading1 assignment2 peer reviews

Instructors

Starweaver
Coursera
490 Courses920,167 learners

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.