Dynatrace Training Day

In this session, we'll learn how Dynatrace helps us detect and resolve issues in our environment. We'll learn how anomalies are identified by both static and auto-adaptive thresholds, and how those signals are grouped into problems for easier investigation. We'll explore how Davis AI analyzes data behind the scenes to surface root causes and reduce alert noise. By the end, we'll know how to navigate problems with clarity, use Dynatrace tools to investigate efficiently, and fine-tune settings to better support our environment.

Learn how Dynatrace’s Model Context Protocol (MCP) integrates AI into your development and operations workflows. In this hands-on session, you’ll use MCP to troubleshoot issues, analyze performance, and optimize code - directly from your IDE or automation pipelines. We’ll show how instruction files guide LLMs to interact with Dynatrace data, enabling faster incident resolution, smarter automation, and better feedback loops across the SDLC. If you’re looking to make AI practical for reliability and performance, this session is for you.

In this session, we'll explore how Dynatrace gives you the power to dig deep into your environment's data and gain meaningful insights. We'll walk through dashboards, Dashboard Apps, Notebooks, and how we can use DQL to dig deeper. We'll also check out the Logs and Traces Apps and how USQL helps us analyze user sessions in classic environments.

Digital Experience Monitoring (DEM) within Dynatrace, especially when integrated with Grail, offers a powerful way to understand and optimize user journeys across applications. This session explores how DEM enhances observability by surfacing performance insights through integrated workflows and data-driven analysis. Participants will learn how to configure and manage DEM effectively, set up accurate data capture, and leverage built-in dashboards, notebooks, and DQL queries to analyze user experience. As the session progresses, it introduces advanced use cases, including writing custom DQL queries and building tailored dashboards, while also providing guidance on supporting customer implementations, navigating platform features, and accessing key resources to drive success.

In this session, you will learn how to use Dynatrace Grail and DQL (Dynatrace Query Language) to analyze logs, metrics, and traces, troubleshoot issues, and gain deep insights into telemetry data. Through hands-on labs, real-world use cases, quizzes, and interactive exercises, you will become proficient in data analysis, anomaly detection, and troubleshooting with DQL.