Create an agentless RUM application before GoLive
Skip to content

About#

Under Construction

This guide is under construction and is not ready for use!

Support Policy

This is an enablement project created by the Center of Excellence - Enablement Team at Dynatrace.

Support is provided via GitHub issues only. The materials provided in this repository are offered "as-is" without any warranties, express or implied. Use them at your own risk.

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.