Log Querying & Analytics Learning Path
Follow this curated learning path to effectively query, analyze, and investigate logs using Datadog Log Management.
In this hands-on series of courses, you’ll learn how to search logs from all sources, visualize data with dynamic aggregations, and set up proactive alerts when anomalies occur. You’ll explore advanced features—like reference tables, subqueries, and calculated fields—to streamline your log analysis workflow.
This path is designed for any Datadog users responsible for accessing, analyzing, and investigating logs, regardless of role.
You’ll learn how to do the following:
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.
Dive Deeper into Log Queries and Aggregations
NEW! Create visualizations for counts and statistics of log attributes. Build multiple queries and formulas. Use functions to transform data in visualizations. Aggregate logs based on patterns and transactions (related sequences of events).
Enhance Log Querying and Analytics with Reference Tables, Subqueries, and Calculated Fields
NEW! Combine metadata with your logs using Reference Tables. Filter one set of logs against another set of logs using Subqueries. Create new fields using existing tags and attributes at query time using Calculated Fields.
Track Logs for Alerting and Investigations
Set up alerts for logs using Log Monitors. Investigate error logs using Error Tracking. Create metrics from logs using Generate Metrics. Visualize log data in Dashboards alongside related data and insights.
