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Dynatrace Professional Certification Course
The Dynatrace Professional course delves into the platform's advanced capabilities: full-stack monitoring, Kubernetes, performance analysis, cloud integrations, advanced dashboards, and automation. It is geared towards technical roles that manage complex environments.
Virtual course / teletraining - 190 hours - 100% creditable
Online course with certification exam included
Dynatrace Professional - Advanced Application Monitoring - IT Observability - Digital Performance Analytics - APM Training - Infrastructure Management - IT Automation - Dynatrace Grail - PurePath
Training objectives
- Design scalable Dynatrace architectures.
- Configure OneAgent and ActiveGate in advanced scenarios.
- Monitor Kubernetes and microservices at a high level.
- Analyze PurePaths and service flows.
- Detecting performance problems in distributed applications.
- Manage advanced alerts, SLOs, and policies.
- Integrate Dynatrace with CI/CD, APIs, and external systems.
- Prepare for Dynatrace Professional certification.
Addressed to
- DevOps or SRE engineers with prior experience in monitoring.
- System administrators or cloud admins who manage complex environments.
- Technical architects who need to design or deploy Dynatrace in large infrastructures.
- Engineering teams working with Kubernetes, containers, or microservices.
- Professionals who want to integrate Dynatrace with CI/CD pipelines, cloud, or automation.
- Consultants specializing in observability, performance, or digital transformation.
This course is for those who have already mastered the basics and need to move on to the advanced operational level and prepare for Professional certification.
Dynatrace Professional Certification Course Content
1. Advanced Dynatrace Architecture Review
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Dynatrace Cluster Distributed Architecture.
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Internal data flow: OneAgent → ActiveGate → Cluster.
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Scalability, high availability, and capacity planning.
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Managing multiple tenants (environments) in large organizations.
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Governing: best practices for corporate environments.
2. Advanced Installation and Configuration of OneAgent
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Advanced installation in:
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Linux and Windows hosts.
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Kubernetes (OneAgent Operator).
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OpenShift, EKS, AKS, GKE.
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In-depth look at OneAgent modules:
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Troubleshooting failed installations.
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OneAgent performance tuning.
3. Advanced ActiveGate
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Types and extended functions:
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Environment ActiveGate
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Cluster ActiveGate
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Synthetic ActiveGate
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ActiveGate balancing, scaling, and HA.
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Configuration for DMZ and hybrid environments.
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Distributed data processing.
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Real-world examples of architectural design.
4. Advanced Application Monitoring (APM)
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Advanced PurePaths analysis.
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Service flow and complex topologies.
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Detecting problems with code, external services, and distributed microservices.
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AI-based and behavioral anomaly detection.
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Database analysis (slow queries, locks, deadlocks).
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Advanced configuration of Service-Level Objectives (SLOs).
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Integration with OpenTelemetry.
5. Observability in Kubernetes and Cloud-Native
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Advanced resource auto-discovery.
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Monitoring of:
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Pods
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Nodes
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Namespaces
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Workloads
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Ingress
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Integration with CRDs and extensions.
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Kubernetes Metrics + Dynatrace Monitoring.
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Observability of microservices and sidecars.
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Cloud integration deep-dive:
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AWS (Lambda, RDS, ALB, ECS…)
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Azure (App Service, AKS, Functions, SQL…)
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GCP (Cloud Run, GKE, SQL…)
6. Advanced Synthetic Monitoring
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Creating complex monitors like Browser Clickpath.
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Synthetic script management and maintenance.
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Setting up private locations with ActiveGate.
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Troubleshooting and debugging synthetic errors.
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Synthetic testing strategies for CI/CD.
7. Davis AI and Advanced Root Cause Analysis
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How the AI-based causal engine works at an advanced level.
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Correlation of events between infrastructure, network, logs, services, and applications.
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Multiple root causes and deep dependencies.
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Predictive analytics and smart KPIs.
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Using Davis Assistant (if applicable to the SaaS version).
8. Complete Management of Alerts, Events, SLOs and Issues
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Advanced definition of thresholds and conditions.
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Priority-based alerting policies.
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Integration with:
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PagerDuty
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ServiceNow
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Opsgenie
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Microsoft Teams / Slack
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Custom Webhooks
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Deployment events and analysis with releases.
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Creation and governance of corporate SLOs.
9. Dashboards, Analytics and Automation
Advanced Dashboards
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Advanced Data Explorer: metrics + dimensions.
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Complex visualization: top lists, multi-dimensional charts, heatmaps.
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Dynatrace Notebooks (if applicable).
AutomationEngine
10. Professional Integrations and Extensions
11. Advanced security in Dynatrace
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Advanced IAM: granular access.
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Multi-team governance: DevOps, SRE, SecOps teams.
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Usage audit and permissions analysis.
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Integration with corporate SSO.
12. Dynatrace Professional Exam Preparation
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Structure of the written exam.
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Structure of the practical exam.
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Exam-type laboratory exercises.
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Typical questions and common pitfalls.
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Final study checklist.
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Final simulation.
Expected results
Upon completion, the student will be able to:
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Design and implement advanced observability architectures.
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Install, configure, and operate Dynatrace in complex environments.
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Monitor high-level applications, Kubernetes, and microservices.
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Run advanced performance and root cause analyses.
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Build enterprise-level dashboards, SLOs, and automations.
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Integrate Dynatrace with DevOps, CI/CD, and native cloud tools.
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Successfully pass the Dynatrace Professional certification.
*Nanfor is not an official Dynatrace center
Prerequisites
- Solid knowledge of Linux/Windows.
- Experience in networks, servers, and distributed applications.
- Recommended experience with Docker/Kubernetes.
- Having completed Dynatrace Associate.
- Understanding observability and APM.
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