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About#

Support Policy - experiment, share feedback, and help shape the future

This repository is part of an enablement project created by the Center of Excellence at Dynatrace. Our mission is to empower you to explore and adopt these resources to accelerate innovation. Support is community-driven and provided exclusively via GitHub Issues.

We will make every effort to assist and address reported problems, but please note:

  • The materials are provided “as-is”, without any warranties or guarantees.
  • Use of this technology is at your own discretion and risk.

We encourage you to experiment, share feedback, and help shape the future. Start building today!

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

Technical Specification#

Technologies Used#

Reference Architecture#

Continue#

In the next section, we'll review the prerequisites for this lab needed before launching our Codespaces instance.