Log Management Fundamentals Certification Learning Path

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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The Agent on a Host

Introduction to running the Datadog Agent on a host. Hands-on activities walk you through running and configuring the Agent to collect events, metrics and logs from other services.

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Configure Log Collection for a Containerized Application

Learn how to set up logging and log ingestion for an app that is built with Ruby and Python services in a Docker environment. The concepts are applicable to other languages, frameworks, and environments.

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Process Logs Out of the Box with Integration Pipelines

Structure and enrich ingested logs from common sources using out-of-the-box and modified Integration Pipelines.

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Build and Manage Log Pipelines

Build a log pipeline from scratch. Use the Pipeline Scanner to check if the pipeline is processing the logs as expected. Add a Standard Attribute for a common attribute in logs.

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Advanced Log Configuration

NEW! Configure your logs to filter out sensitive data, gain support for multi-line logging, and apply global processing rules to get the most out of your logs. Solve common problems in configuring logs for a production application.

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Manage and Monitor Indexed Log Volumes

Control and track retention and volumes of indexed logs to maintain costs using Indexes with Exclusion Filters, Logs Monitors, and the Log Management - Estimated Usage dashboard. Learn about Flex Logs vs Standard Indexing.

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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).

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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.

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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.

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Customize Alert Monitor Notifications

Craft dynamic and descriptive notification messages for alert monitors using conditional, tag, and template variables. In the hands-on lab, you’ll gain practical experience by drafting and testing notification messages.

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Introduction to Cloud SIEM

In this course, you learn the fundamentals about how to use Cloud SIEM in Datadog to detect different types of security threats and attacks.

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