Datadog Full-stack Observability
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 39m | 335 MB
Instructor: Karun Subramanian
Datadog is a leading observability platform for modern systems. This course will teach you techniques for implementing full-stack observability with Datadog, including ingesting logs, configuring APM, and correlating logs and traces.
What you'll learn
Today's distributed systems require real-time, full-stack observability to maintain service reliability. In this course, Datadog Full-stack Observability, you'll gain the ability to monitor applications end-to-end and resolve issues quickly.
First, you'll explore how to ingest and analyze logs using the Datadog Agent, integrations, and Log Explorer. Next, you'll discover how to implement APM, instrument services, and interpret traces and service maps as well as, how to use the APM interface for root-cause analysis. Finally, you'll learn to correlate logs, traces, and metrics for faster troubleshooting.
By the end of this course, you'll have the Datadog skills needed to troubleshoot distributed systems confidently.
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