Training

This session dives into how Dynatrace enables intelligent monitoring and management of AI and LLM systems in production. Participants will explore how Dynatrace’s platform—leveraging Grail, Davis AI, and OpenTelemetry—provides full-stack visibility across infrastructure, model behavior, orchestration, and application layers. The session showcases how to track model performance, detect anomalies, and optimize resource usage, while also addressing governance and ethical AI considerations. Through hands-on examples and real-world use cases, learners will gain practical insights into applying AI observability within Dynatrace to ensure transparency, reliability, and cost-efficiency in AI-driven environments.

Please Note: This training session consists of Part 1 and Part 2. Attendance at both sessions is highly recommended to ensure full understanding and continuity of the material.

In today’s fast-paced digital landscape, efficient Day 2 operations are essential to maintaining system reliability, reducing mean time to resolve (MTTR), and minimizing operational costs. In Part 1 of this session, participants will explore the foundational concepts of AIOps and Site Reliability Engineering (SRE) within the Dynatrace platform. The focus will be on how Davis® AI detects anomalies and triggers automated problem remediation, and how integrating Dynatrace Workflows can elevate incident management for smarter, faster resolution. Through guided examples and platform walkthroughs, learners will begin to understand how automation can streamline operations and reduce manual effort in dynamic cloud-native environments.

Please Note: This training session consists of Part 1 and Part 2. Attendance at both sessions is highly recommended to ensure full understanding and continuity of the material.

Building on the concepts introduced in Part 1, Part 2 dives deeper into advanced automation strategies using Dynatrace to proactively manage Day 2 operations. Participants will learn how to automate recurring operational workflows to boost efficiency and reliability, and how to harness Davis® AI’s predictive analytics to anticipate issues before they arise. The session will also cover root cause analysis, alert management, and the use of actionable insights to address incidents and security tasks with precision. Special attention will be given to managing cloud-native applications at scale, ensuring resilience and operational excellence in modern environments.

Please Note: This training session consists of Part 1 and Part 2. Attendance at both sessions is highly recommended to ensure full understanding and continuity of the material.

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.

Unlock the full potential of Kubernetes observability with Dynatrace. In this first session, you'll learn how Dynatrace brings clarity and answers for your Kubernetes workloads. Discover how to detect reliability issues, optimize resource usage, and visualize your environment using Dashboards and Notebooks. This hands-on session will help you build a strong foundation for efficient and reliable Kubernetes operations.

Please Note: This training session consists of Part 1 and Part 2. Attendance at both sessions is highly recommended to ensure full understanding and continuity of the material.

Advance your Kubernetes observability skills by solving real reliability challenges using Dynatrace automation. In this session, you’ll build a workflow from scratch that detects an issue and creates a GitLab ticket. You’ll then enhance the workflow using Smartscape v2 to bring topology-aware context into your automation. Finally, you’ll integrate EdgeConnect to trigger remediation actions at the edge. Along the way, you’ll use DQL and Kubernetes automation to drive intelligent decisions and build resilient systems.

To wrap up, we’ll cover best practices for configuring the Dynatrace Operator and applying the right annotations to Kubernetes workloads to maximize observability and automation.

Please Note: This training session consists of Part 1 and Part 2. Attendance at both sessions is highly recommended to ensure full understanding and continuity of the material.

This session provides a high-level overview of Dynatrace, including the core reasons behind its creation and the challenges it helps organizations solve. Participants will gain insight into how Dynatrace delivers intelligent observability, automation, and security across modern cloud environments. The session introduces key platform components—such as the Dynatrace OneAgent, Davis AI, Grail data lakehouse, and Smartscape topology—and explains how they work together to provide full-stack visibility and real-time insights. Designed for those new to Dynatrace, this session lays the groundwork for understanding the platform’s architecture, capabilities, and value in driving performance, reliability, and innovation.

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.

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.

In this session we’ll show you how to clear your logjams one bucket at a time. Through real-world scenarios and interactive exercises, you’ll learn how to architect your log environment for performance, security, and cost-efficiency. Whether you're a DevOps engineer or a CloudOps lead, this session will help you build a setup that scales.

This session introduces key concepts and practices for monitoring AI and large language model (LLM) systems in production environments. Participants will explore common challenges such as model drift, token usage, and response quality, and learn how observability can help ensure performance, reliability, and transparency across the AI stack. Using OpenTelemetry as a foundation, the session covers monitoring across infrastructure, model behavior, orchestration layers, and application interfaces. Ethical considerations and responsible AI practices are also addressed, providing a well-rounded perspective on deploying and managing AI systems effectively.

Please Note: This training session consists of Part 1 and Part 2. Attendance at both sessions is highly recommended to ensure full understanding and continuity of the material.

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.

In this session, we’ll follow a real-world debugging challenge – an unexpected behavior of our production application which crashes it randomly – and see how Live Debugger makes tracking down and fixing the issue seamless, with no downtime, no redeployment, and no drama.

With Live Debugger you won’t just debug. You’ll see through your applications knowing exactly what’s happening under the hood.

Welcome to the age of Observability—where we move beyond traditional monitoring and embrace an AIOps driven, proactive, and holistic approach, to drive innovation and maximize productivity.

Is the CPU high? Is my application slow? Are my servers up and running?”
Sound familiar? These were the go-to questions of the early 2010s—back when monitoring meant watching dashboards and hoping for the best. But in today’s world of cloud-native and hybrid architectures, those questions barely scratch the surface.

Sure, we still care if our servers are up. But now we’re asking tougher, more business-critical questions:
What’s the revenue impact of this outage?
How fast can we get to root cause?
Can we stop reacting and start predicting?

In this hands-on, round-table, workshop-style session, we’ll explore what it really means to build a robust Observability practice. You’ll learn how to navigate complexity, connect technical signals to business outcomes, and turn your data into action. Whether you're just starting your observability journey or looking to level up, this session will equip you with the insights and best practices to thrive in the modern IT landscape.

You will walk away from this workshop with plan on how to implement, measure, and scale a successful Observability Strategy. Let’s stop asking 2010’s questions and evolve for the future

This session explores how developers can seamlessly integrate observability into their daily workflows using Dynatrace. Participants will learn how to leverage tools like the Live Debugger and code-level visibility to monitor applications in real time—without the need for redeployments. The session highlights full-stack monitoring capabilities for Java and Node.js applications, enabling deep insights into performance and behavior. With integrations into popular IDEs, developers can access observability data directly within their coding environment, streamlining troubleshooting and accelerating issue resolution. This session is ideal for developers looking to reduce mean time to recovery (MTTR) and enhance productivity through intelligent observability practices.

In Part 1 of this session, participants will learn the foundational principles of building effective dashboards in Dynatrace. The focus will be on designing dashboards that follow industry standards for clarity, usability, and impact. Learners will explore how to create DIY dashboards using tile examples to customize views and surface the most relevant data. This session also introduces strategies for fostering a self-service dashboarding culture, empowering teams to build and manage their own dashboards to support decision-making and operational awareness.

Please Note: This training session consists of Part 1 and Part 2. Attendance at both sessions is highly recommended to ensure full understanding and continuity of the material.

Part 2 builds on the foundational skills from the first session and explores advanced dashboarding techniques within Dynatrace. Participants will learn how to integrate third-party data sources to create a more comprehensive view of their environment and unlock deeper insights. The session also introduces Davis CoPilot, showcasing how natural language can be used to build dashboards quickly and intuitively. By the end of this session, learners will be equipped to fully leverage Dynatrace dashboarding capabilities to enhance visibility, collaboration, and strategic decision-making across their organization.

Please Note: This training session consists of Part 1 and Part 2. Attendance at both sessions is highly recommended to ensure full understanding and continuity of the material.

In this session, participants will learn how to design and implement automated remediation workflows using Dynatrace Workflows in conjunction with AWS Systems Manager Runbooks.

We will develop four targeted workflows to address common operational challenges:

• Remediate CPU Saturation
• Remediate Low Disk Space
• Remediate Public S3 Buckets
• Remediate Public Security Groups
  

Please Note: This training session consists of Part 1 and Part 2. Attendance at both sessions is highly recommended to ensure full understanding and continuity of the material.

In this session, participants will learn how to design and implement automated remediation workflows using Dynatrace Workflows in conjunction with AWS Systems Manager Runbooks.

We will develop four targeted workflows to address common operational challenges:

• Remediate CPU Saturation
• Remediate Low Disk Space
• Remediate Public S3 Buckets
• Remediate Public Security Groups

Please Note: This training session consists of Part 1 and Part 2. Attendance at both sessions is highly recommended to ensure full understanding and continuity of the material.

Business Observability in Dynatrace empowers you to track critical Business KPIs and the health of important Business Processes in real-time - all whilst having the context to drill down and troubleshoot IT issues that impact them negatively.

In this session we will look at how to identify your first use case for implementing Business Observability, including capturing Business Events from sources such as the OneAgent or Logs. We will then look at how to analyze your first captured data points in Notebooks, before visualizing a 3 step Business Process in the Business Flow app. Along the way you will be enabled with examples from existing customers, guidance for real implementation and many more resources!

Please Note: This training session consists of Part 1 and Part 2. Attendance at both sessions is highly recommended to ensure full understanding and continuity of the material.

This session is ideal if you have implemented some initial Business Observability use cases, but want to know how to take things further and make use of AI and Automation.

Data capture will already be configured, and we will instead focus on more advanced use of the Business Flow app (including alerting), as well as using Workflows to automatically run analysis on your Business data and inform key stakeholders when anomalous scenarios occur.

Finally, we will take a look at advanced DQL analysis in Notebooks as well as adding in Business KPIs to your release validation using the Site Reliability Guardian (SRG).

Please Note: This training session consists of Part 1 and Part 2. Attendance at both sessions is highly recommended to ensure full understanding and continuity of the material.

How to set up Dynatrace 3rd-Gen from scratch!. Join this hands-on session to learn how to design your observability strategy in Dynatrace 3rd-Gen. Discover why enriching at source matters, how to control filtering and access with Segments & policies, and when a bucket strategy can boost query performance and cut costs. Start strong, start smart!

Please Note: This training session consists of Part 1 and Part 2. Attendance at both sessions is highly recommended to ensure full understanding and continuity of the material.

Discover how to enrich at source effortlessly for your existing installations, combine Segments with powerful features, and transform your classic dashboards, custom events, and notifications into 3rd Gen experiences. Don’t just migrate, upgrade, and unlock the full potential of your environment!

Please Note: This training session consists of Part 1 and Part 2. Attendance at both sessions is highly recommended to ensure full understanding and continuity of the material.

A hands‑on lab that shows how to implement a full OpenTelemetry monitoring solution while using Dynatrace as your observability platform. You’ll configure a vendor‑neutral pipeline for traces, logs, and metrics using pure Open Telemetry components, then validate and explore the data in Dynatrace.

Please Note: This training session consists of Part 1 and Part 2. Attendance at both sessions is highly recommended to ensure full understanding and continuity of the material.

Take your Dynatrace Query Language (DQL) skills to the next level. In this advanced session, you'll learn how to parse complex telemetry data, generate meaningful statistics from logs, and use OpenPipeline to pre-process data for more efficient querying. You'll also explore how to customize Dynatrace MCP server using DQL. Additionally, you'll learn how to build DQL queries that generate Dynatrace Copilot prompts, enabling intelligent automation and contextual guidance, and how to leverage the Smartscape v2 model in your queries to enhance topology-aware analysis. This hands-on session is designed to empower you with the tools and techniques needed to solve sophisticated observability challenges in dynamic Kubernetes environments.

Please Note: This training session consists of Part 1 and Part 2. Attendance at both sessions is highly recommended to ensure full understanding and continuity of the material.

Step into the future of cloud management with this interactive, hands-on training session. Designed for cloud engineers, SREs, and platform teams, this workshop will guide you through the transformation from reactive monitoring to proactive, automated cloud operations using Dynatrace.

Participants will:

• Explore the latest cloud-native capabilities, including AI-powered observability, root cause analysis, and enterprise-grade connection management.
• Learn how to onboard cloud environments seamlessly, enrich data with tags and metadata, and leverage ready-made dashboards and health alerts.
• Get practical experience with automated remediation, prevention, and optimization workflows—covering real-world scenarios like capacity forecasting, compliance monitoring, resource optimization, and incident response.
• Dive into end-to-end visibility with cloud-native tracing, and see how Dynatrace integrates deeply into your cloud platform for actionable insights and business agility.
• Work through guided labs and use cases, empowering you to implement automation, reduce manual effort, and foster resilient, agile cloud operations.

By the end of the session, you’ll be equipped to drive modern cloud operations—auto-preventing, auto-remediating, and auto-optimizing your cloud environments for maximum efficiency and reliability.

This hands-on technical lab immerses participants in real-world scenarios using Dynatrace Investigator, Security Posture Management and Vulnerabilities. Attendees will explore how misconfigurations and vulnerabilities can compromise cloud-native environments—and how to detect, prioritize, and remediate them using observability-driven security workflows.

What You’ll Learn

• Investigator Fundamentals: Navigate the tool to uncover anomalies, failed logins, and suspicious activity across containers, services, and code layers.
• Misconfiguration Detection: Understand how misconfigurations serve as entry points for attacks and how Dynatrace KSPM (Kubernetes Security Posture Management) continuously monitors and remediates them.
• Vulnerability Prioritization: Use runtime context and Davis® AI to distinguish real threats from noise, focusing on exposures linked to sensitive data or internet-facing assets.
• Resilient Operations: Learn how to integrate security insights into DevSecOps workflows to ensure operational continuity and compliance.

Discover how Dynatrace brings observability into the agentic AI era—empowering developers and SREs to interact with production data using natural language, right from their IDE or automation workflows. In this session, we’ll explore how Dynatrace’s Model Context Protocol (MCP) enables AI agents to troubleshoot, analyze performance, and optimize code without leaving your development or operational environment. You’ll learn how instruction files guide LLMs to work with Dynatrace, and see how this unlocks faster incident resolution, better feedback loops, and smarter automation across the SDLC. Whether you’re building apps or ensuring reliability, Dynatrace makes agentic AI work for you.

Leverage the power of the Dynatrace platform to maximize the value of your OpenTelemetry data. In this lab, you’ll analyze services and traces, query logs and metrics, build focused dashboards, and configure intelligent anomaly detection to drive actionable outcomes.

Please Note: This training session consists of Part 1 and Part 2. Attendance at both sessions is highly recommended to ensure full understanding and continuity of the material.