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Dynatrace - Zero to SuperHero in Production performance
1,901 students
Dynatrace - Zero to SuperHero in Production performance
Dynatrace Masterclass 2026: Troubleshoot Faster, Optimize Performance & Boost Reliability
Created bySumanth K
Last updated 11/2025
English
What you'll learn
- Learn how to diagnose and resolve common production issues like high CPU usage, memory leaks, network latency, and disk bottlenecks using Dynatrace tool
- Understand how to use Dynatrace's Davis AI to automatically detect root causes, streamline troubleshooting, and reduce MTTD and MTTR
- Create unified dashboards for a single-pane-of-glass performance view and set up Service Level Objectives (SLOs) to maintain system reliability
- Learn to set up automated workflows, integrate Dynatrace with Jira, and enable self-healing to improve efficiency and reduce manual effort.
- Learn Grail data storage, OpenPipeline log processing, and Segmentation for better data access control.
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Course content
24 sections • 87 lectures • 10h 21m total length
Requirements
- Basic Knowledge of Dynatrace
- Experience in Monitoring or DevOps (Optional): Exposure to tools like New Relic, Datadog, or any monitoring system can be helpful but is not mandatory.
Description
Are you ready to take your performance monitoring and troubleshooting skills to the next level in 2026? In this course, I’ll guide you step-by-step to master Dynatrace using real-world troubleshooting scenarios. Whether you’re an IT professional, developer, or SRE, this course provides practical, hands-on skills you can apply immediately in production environments.
Here’s what you’ll learn:
Detect and fix CPU, memory, database, network, and service performance issues efficiently
Create dashboards, alerts, and anomaly detection rules to prevent incidents before they escalate
Simulate user journeys, analyze real-user behavior, and perform deep end-to-end response time diagnostics
Leverage Davis AI for accurate root-cause analysis, problem correlation, and proactive risk detection
Automate Incident & Problem Management with Jira Integration to accelerate workflows
Build automated remediation pipelines to eliminate repetitive L1 support effort
Implement SLOs, SLIs & SLAs to improve system reliability and business outcomes
Manage cloud observability data using Grail Data Lake, buckets, and secure access control
Parse and enrich logs, and extract metrics through OpenPipeline for advanced analytics
Apply Segmentation vs Management Zones to control visibility and enable team-specific access
Monitor Kubernetes, cloud workloads (AWS, Azure, GCP), databases, and microservices with full-stack insights
I’ll share real-world examples, guided labs, and actionable insights to help you troubleshoot, optimize, and automate applications and infrastructure with confidence. Whether you're managing Kubernetes clusters, mission-critical transactions, or user experience improvements — you’ll gain the expertise that modern SRE teams demand.
Join me on this journey to become a Dynatrace Observability and SRE expert.
Let’s get started today!
Who this course is for:
- DevOps Engineers and SREs: Professionals responsible for maintaining system reliability and performance, looking to master Dynatrace for real-time troubleshooting.
- Performance Engineers: Experts seeking to enhance their skills in diagnosing and resolving complex performance issues using Dynatrace’s advanced features
- IT Operations and Support Professionals: Teams managing production environments who want to reduce troubleshooting time and improve operational efficiency.
- Beginner to Intermediate Dynatrace Users: Anyone familiar with basic APM concepts who wants to level up their expertise and become a go-to Dynatrace specialist in their organization