This course is designed to provide learners with a comprehensive understanding of the Dynatrace platform, equipping them with the skills needed to monitor, analyze, and optimize modern IT environments using intelligent automation and full-stack observability.

By the end of this course, learners will be able to:

• Understand Dynatrace architecture and core components, including OneAgent, Smartscape, and the Davis AI engine.
• Deploy Dynatrace OneAgent across physical, virtual, cloud, and containerized environments for seamless monitoring.
• Monitor applications, infrastructure, and services with deep visibility into processes, network traffic, logs, and user behavior.
• Leverage Real User Monitoring (RUM) and Synthetic Monitoring to analyze performance from the end-user perspective.
• Use distributed tracing and service flow analysis to identify performance bottlenecks and trace transaction paths across systems.
• Automate root cause analysis and incident resolution using AI-powered insights provided by Davis.
• Create custom dashboards, metrics, and alerting rules to visualize and act on critical system data.

These objectives ensure learners gain both technical proficiency and strategic insight to maximize Dynatrace’s capabilities in real-world IT operations.

Dynatrace – Course Syllabus

1. Introduction to Dynatrace

• What is Dynatrace and its core capabilities
• Dynatrace architecture: OneAgent, ActiveGate, and Dynatrace platform
• Comparison with other APM tools (Datadog, New Relic, etc.)
• Use cases: Cloud observability, DevOps, Business analytics, Security
• Account setup and environment configuration

2. Installing and Configuring Dynatrace

• Deploying OneAgent on hosts (Linux, Windows, Kubernetes)
• Network zones and ActiveGate configuration
• Monitoring containers and orchestrators (Docker, Kubernetes, OpenShift)
• Tagging, naming rules, and management zones
• API and CLI basics for configuration automation

3. Application Performance Monitoring (APM)

• Real-time distributed tracing and PurePath analysis
• Services, requests, and backtrace of slow transactions
• Code-level visibility for Java, .NET, Node.js, and other languages
• Detecting service bottlenecks, error hotspots, and latency issues
• Custom service instrumentation and user actions

4. Infrastructure & Cloud Monitoring

• Host and process monitoring
• Monitoring cloud environments: AWS, Azure, GCP
• Infrastructure overview dashboards
• Smartscape topology and dependency mapping
• Container and pod-level visibility in Kubernetes

5. Real User Monitoring (RUM) & Synthetic Monitoring

• Setting up RUM for web and mobile apps
• Analyzing user sessions and user behavior
• Session Replay and performance breakdown
• Synthetic monitors (browser/API checks)
• Multi-location tests and alerting

6. Logs, Metrics, and Events

• Enabling log monitoring and log analytics
• Metrics ingestion: custom, external, Prometheus-based
• Metric expressions and transformations
• Smart Alerts, thresholds, and anomaly detection
• Event correlation and root cause analysis

7. Dashboards, Reports & Business Insights

• Building custom dashboards with tiles and filters
• Business KPI monitoring with user-defined metrics
• Dashboards for infrastructure, applications, and teams
• Custom reports and scheduled exports
• Tag-based and role-based data presentation

8. AI-Powered Problem Detection (Davis AI)

• Davis AI engine fundamentals
• Automatic problem detection and impact analysis
• Anomaly detection for services, infrastructure, and availability
• Causation vs. correlation and AI-assisted resolution
• Davis Assistant and chat-based alerts

9. Integration & Automation

• CI/CD toolchain integration: Jenkins, GitLab, Azure DevOps
• Infrastructure as Code (IaC) with Terraform for Dynatrace resources
• ServiceNow, Slack, Jira, Opsgenie, and PagerDuty integration
• OpenTelemetry and Dynatrace Extensions 2.0
• Custom plugins and API-driven automation

10. Real-World Projects & Certification Preparation

• End-to-end monitoring setup for a cloud-native application
• Performance tuning and anomaly detection hands-on
• Simulated outages and incident response using Dynatrace
• Sample use cases: SLA tracking, release validation, cloud migration monitoring
• Preparing for Dynatrace Associate / Professional Certification
  
  

Upon successfully completing the Dynatrace online course, learners will receive a Certificate of Completion issued by Uplatz, formally recognizing their expertise in using Dynatrace for full-stack observability, performance monitoring, and intelligent automation. This certificate validates your ability to deploy and configure Dynatrace OneAgent, monitor applications and infrastructure, utilize AI-powered root cause analysis with Davis, and integrate Dynatrace with DevOps and cloud-native environments.

The certificate serves as a tangible proof of your proficiency in applying Dynatrace to solve real-world IT and operational challenges, including synthetic and real user monitoring, service-level tracking, and security vulnerability detection. It enhances your professional credibility, boosts your resume, and signals to employers that you have both theoretical knowledge and practical experience with one of the industry’s most advanced observability platforms.

Dynatrace skills are in high demand across industries focused on digital performance and customer experience. Job roles include:

• Site Reliability Engineer (SRE)
• DevOps Engineer
• Cloud Monitoring Specialist
• Performance Engineer
• Application Support Analyst
• Observability Consultant
• Infrastructure Monitoring Engineer
  
  

Organizations using Dynatrace span sectors like finance, e-commerce, telecom, and SaaS—where real-time visibility and intelligent automation are mission-critical.

1. What is Dynatrace?
   Dynatrace is an AI-powered observability platform for monitoring infrastructure, applications, logs, user experience, and cloud environments.

2. How does OneAgent work?
   OneAgent automatically collects metrics, traces, logs, and events from the host and applications, enabling deep observability with minimal manual configuration.

3. What is Smartscape?
   Smartscape is Dynatrace’s real-time topology mapping engine, showing dependencies among hosts, services, processes, and applications.

4. How does Davis AI help?
   Davis is Dynatrace’s AI engine that provides automated anomaly detection, root-cause analysis, and actionable insights.

5. Difference between RUM and Synthetic Monitoring?
   RUM tracks real user interactions in real-time, while Synthetic Monitoring uses scripted transactions to simulate user behavior.

6. What are SLOs in Dynatrace?
   Service Level Objectives define acceptable service levels (like latency or availability) and help track performance against these goals.
   
   

7. Can Dynatrace monitor cloud-native apps?
   Yes, Dynatrace offers deep observability into Kubernetes, containers, serverless, and microservices environments.

8. Which third-party tools integrate with Dynatrace?
   Popular integrations include ServiceNow, Slack, PagerDuty, Prometheus, Ansible, and Jenkins.

9. How is Dynatrace different from other monitoring tools?
   Dynatrace offers automatic full-stack instrumentation, AI-powered insights, and a unified platform for DevOps, business, and security stakeholders.

10. What is the Dynatrace Hub?
    It’s a marketplace of extensions, integrations, and custom monitoring configurations that extend Dynatrace functionality.