Workshop Dynatrace Log Analytics at Scale

Workshop Overview

This workshop is designed to help participants understand how to scale log analytics using Dynatrace, particularly leveraging its Grail-powered Log Management and Analytics capabilities. It’s hands-on and intended for technical users who want to explore log ingestion, querying, and visualization at enterprise scale.

Lab tasks:

1. About

   • Understand the purpose of this workshop and what will be accomplished

2. Getting Started

   • Complete prerequisites before starting the workshop

3. Codespaces

   • Deploy Kubernetes cluster with demo applications used during the workshop
   • Deploy Dynatrace configurations (such as workshop notebooks) using Monaco

4. Deploy Dynatrace

   • Deploy Dynatrace on Kubernetes for full-stack observability with logs in context
   • Validate observability signals, including logs

5. Scaling Log Analytics

   • Learn the best practices of scaling log analytics with Dynatrace
   • Reference presentation companion asset

6. Configure Dynatrace

   • Configure Dynatrace using the best practices covered in scaling log analytics

7. DQL Exercises

   • Learn how to use Dynatrace Query Language (DQL) to perform fast and powerful analytics on your observability data, including logs

8. Anomaly Detection

   • Leverage Dynatrace's Davis AI to detect anomalies from log data to identify issues and resolve them faster

9. Dashboards

   • Learn how to visualize observability signals, including logs, using the powerful and easy to use dashboards in Dynatrace

10. Resources

    • Additional resources available to continue your log analytics journey with Dynatrace, after completing the workshop

11. Cleanup

    • Tear down and clean up the workshop assets after its completion

Ready to scale log analytics and understand your business like never before?

View the Lab Guide