Training

Learn the core workflows used to monitor, troubleshoot, and investigate issues in Dynatrace. Through guided exercises and hands-on scenarios, you'll practice navigating the platform, analyzing problems, exploring services and dependencies, and using logs, traces, and topology data to understand system behavior. You'll work through common troubleshooting patterns to assess impact, identify root cause, and determine next steps for resolution. Along the way, you'll learn how Dynatrace Intelligence can help accelerate investigations by connecting telemetry, context, and dependencies, giving you a practical foundation for day-to-day monitoring and incident response.

Build a practical understanding of the concepts and data that power modern observability. Through guided exercises and interactive examples, you'll explore how metrics, logs, traces, events, and topology work together to provide visibility across applications, infrastructure, and cloud environments. You'll gain hands-on experience working with Grail, OpenPipeline, and Dynatrace Intelligence while learning how to connect and interpret observability data to answer operational questions and investigate issues. By the end of the session, you'll understand how observability data flows through the platform, how contextual insights support troubleshooting, and how AI-powered capabilities can help teams move from detection to resolution more efficiently.

Learn how to turn observability data into meaningful insights through hands-on dashboard and notebook development. In this interactive session, you'll work with Grail and DQL to build dashboards that support monitoring, reporting, and operational decision-making. You'll practice creating visualizations for health, reliability, risk, and cost use cases, while using Notebooks to explore data, investigate trends, and answer business and operational questions. The session also covers common dashboard migration challenges and practical techniques for designing dashboards and analytical workflows that help teams efficiently consume information and take action.

Learn how to establish the governance foundations needed to successfully manage and operate Dynatrace across teams and business units. In this hands-on session, you'll design tagging strategies, apply security context, and configure access controls using Segments, Spaces, and permissions. Through guided exercises and practical scenarios, you'll explore how governance decisions impact ownership, visibility, cost allocation, and operational workflows. You'll also work through common tagging, scoping, and access management challenges to develop an approach that supports secure operations, consistent administration, and the trusted data foundation required for AI-powered observability.

Learn how to assess, plan, and execute a successful transition to the latest Dynatrace platform capabilities. In this hands-on session, you'll use readiness tools and practical workflows to identify Classic dependencies, evaluate migration readiness, and prioritize modernization efforts. Through guided exercises and real-world scenarios, you'll build a phased migration plan, map potential blockers to available solutions and roadmap items, and develop strategies for minimizing risk during adoption. You'll also explore how modern platform capabilities, including AI-powered analysis and automation, can help shape migration priorities and deliver value throughout the modernization process.

Learn how to implement and manage observability across modern environments that span Kubernetes, public cloud platforms, on-premises infrastructure, and hybrid architectures. In this hands-on session, you'll work through deployment and configuration scenarios using OneAgent and cloud-native integrations while exploring observability patterns for AWS, Azure, GCP, Kubernetes, and hybrid environments. Through guided exercises, you'll learn how to collect and enrich telemetry, establish consistent visibility across distributed systems, and monitor the applications and infrastructure that power today's digital and AI-enabled services. By the end of the session, you'll have practical experience designing observability approaches that support effective operations across complex environments.

Gain hands-on experience implementing OpenTelemetry and Bindplane to collect, manage, and optimize observability data across your organization. In this interactive workshop, you'll work through common onboarding and telemetry management scenarios, learning how to collect data from diverse sources, enrich and transform telemetry, and route it to the right destinations. You'll explore best practices for governance, data quality, and pipeline management while integrating OpenTelemetry data with Dynatrace, Grail, and OpenPipeline. Through practical exercises, you'll build and validate telemetry pipelines that support cloud, hybrid, and AI-enabled environments, helping ensure teams have access to the reliable, contextual data needed for effective observability and analysis.

Learn how to connect observability data with the business processes, customer experiences, and outcomes it supports. In this hands-on session, you'll work with business events, business flows, dashboards, and analytics to create a clearer view of how technical performance impacts key business metrics. Through guided exercises and practical use cases, you'll learn how to monitor critical journeys, correlate operational data with business KPIs, and identify issues that affect customers, revenue, and service delivery. You'll also explore how Dynatrace Intelligence can help surface business impact, prioritize investigations, and provide actionable insights that help technical and business teams make better decisions using a shared view of performance.

Learn how to monitor, analyze, and troubleshoot digital experiences using Real User Monitoring (RUM) and Synthetic Monitoring. In this hands-on session, you'll configure monitoring for web applications, capture user actions and session data, and explore how to measure performance from both real-user and simulated perspectives. Through guided exercises and investigation scenarios, you'll learn how to identify user experience issues, analyze frontend performance, and connect user behavior to the underlying services and infrastructure that support the application. By the end of the session, you'll have practical experience using RUM and Synthetic data to understand how users interact with your applications and to diagnose issues that impact the digital experience.

Learn how AI-powered capabilities can help you work more effectively with observability data and operational workflows. In this hands-on session, you'll explore Dynatrace Intelligence, MCP, DTCTL, and Skills through practical exercises and real-world scenarios. You'll learn how to accelerate investigations, automate common tasks, interact with observability data using natural language and AI-assisted workflows, and provide the context needed to support emerging AI agents and automation use cases. By the end of the session, you'll understand how these capabilities work together and how they can be applied to improve efficiency, reduce manual effort, and enhance day-to-day operations.

Dynatrace Assist and Workflows are more capable than most teams realize - and together, they're the foundation for out-of-the-box but also your own domain-specific observability agents. You can analyze your observability data using your own domain terminology or ask to create dashboards following your corporate policy. You can also build and run your own domain specific AI agent directly in Dynatrace to automate tasks or remediate problems based on your internal knowledge base. Whether you are an SRE, Developer or an observability newcomer, this hands-on session will teach you how to make Dynatrace a force-multiplier for your teams.

Getting started with OpenTelemetry is the easy part. Scaling it across a large enterprise — without exploding costs, drowning in cardinality, or losing signal fidelity — is where most teams hit a wall. This hands-on session walks through best practices across the full OTel signal lifecycle: instrumentation, enrichment, trace sampling, metric cardinality, log-to-trace correlation, and storage cost control — all the way through to dashboarding and alerting that holds up in production.
Walk away with an opinionated, battle-tested OTel blueprint you can apply immediately, wherever you are on your observability maturity journey.