The complexity of modern applications and shared infrastructure creates challenges for developers, particularly when it comes to troubleshooting production outages quickly and consistently. Knowing what to look for—and where—can be difficult when you don’t have the right visibility, especially when you’re up against the clock.

Logs capture a ton of details, from the frontend systems to the application server and middleware to other backend services, all the way to the database. When there’s an issue (outage, bug, or performance problem), logs are vital to discover not just the source of the problem but the details surrounding it—what caused the error, when it happened, what processes were running at the time, were there any related errors, etc. Datadog Log Management allows you to collect, store, and analyze logs over a period of time from one or more data sources. You’re able to surface relevant details from logs and correlate them with other observability data for faster root cause detection and issue resolution.

In this hands-on workshop, you will gain an overview of Datadog Log Management and learn how to use a variety of features to gain insights using logs correlated with metrics and traces to improve developer productivity.

Learning Objectives

After attending this workshop, you’ll be able to:

• Learn the best practices for log collection, processing, and retention
• Learn how to analyze data from multiple sources