Learning Path

Frontend Engineer Learning Path

Follow this curated learning path to effectively build, troubleshoot, and optimize user experiences as a Frontend Engineer.

These four courses guide you through Datadog products tailored to meet the daily needs of frontend teams. Engage in hands-on practice within live demo environments to gain experience analyzing real-time data and investigating live frontend issues using a free Datadog trial account.

This path is designed specifically for Frontend Engineers and other roles responsible for building, maintaining, and optimizing user interfaces and experiences on web and mobile.

You’ll learn how to do the following:

Analyze user data to track UX, performance, deployments, and errors
Recreate real users’ sessions to to understand interactions and identify pain points
Simulate sessions to proactively test apps across different locations, environments, browsers, and devices
Explore traces to diagnose request latency, call failures, and code inefficiencies as well as understand complex relationships between services
Track key metrics to understand trends that impact system behavior and user experience
Analyze logs to uncover user behavior patterns, monitor performance trends, and detect issues before they impact users

Introduction to Real User Monitoring (RUM)

How does your user experience impact operational success? Use data from real end-users to track UX, performance, deployments, and errors—all while gaining visibility into precisely how users interact with your apps.

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Getting Started with Synthetic Monitoring and Browser Testing

Simulate user sessions to proactively test and monitor applications from different locations, browsers, and devices.

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Getting Started with APM Metrics & Traces

Monitor service health and performance with Application Performance Management. Explore traces to understand requests and interactions between services. Track key metrics to understand trends that impact system behavior and user experience.

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Getting Started with Log Explorer

Query logs from all of your log sources. Investigate log details. Build visualizations with Fields Aggregations. Create Saved Views. Add facets and measures.

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