Dynatrace - Hero To Superhero In Production Performance

Master Dynatrace Monitoring: Troubleshoot Performance Issues, Optimize Systems, and Elevate Reliability

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.

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 this course, I’ll guide you step-by-step to master Dynatrace in troubleshooting the real-world scenarios. Whether you’re an IT professional, developer, or SRE, this course is designed to give you practical, hands-on skills you can use right away.Here’s what you’ll learn:How to detect and fix CPU, memory, database, and network performance issues efficiently.Setting up dashboards, alerts, and anomaly detection to prevent problems before they escalate.Simulating user journeys, tracking real-user activity, and performing deep end-to-end response time analysis.Leveraging Davis AI to find root causes, predict future issues, and analyze seasonal trends.Automate the Problem Management using JIRA integrationAutomating repetitive L1 support workflows to save time and cut costs.Understanding and implementing SLOs, SLIs, and SLAs to boost service reliability and improve user satisfaction.I’ll share real-world examples and actionable insights to help you troubleshoot and optimize applications and infrastructure like a pro. Whether it’s managing Kubernetes environments, fine-tuning databases, or improving user experiences, you’ll walk away with the confidence and skills to handle it all.Join me in this journey to become a Dynatrace and SRE expert. Let’s get started today!

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Solving CPU Problems the Smart Way

Lecture 2 High CPU? Let’s Find What’s Wrong!

Lecture 3 Root Cause analysis of CPU Spikes - Smart approach

Lecture 4 Root Cause analysis of CPU Spikes - Quick approach

Lecture 5 Is Disk I/O Eating Your CPU?

Lecture 6 Threads Stuck? Here's How to Fix It!

Section 3: Mastering in Memory Management problems in just 5 Minutes

Lecture 7 Understanding the Java Memory Management Made Easy!

Lecture 8 How to Monitor JVM Memory with Dynatrace.

Lecture 9 Memory Issues? Here's What to Do!

Lecture 10 OutOfMemory Errors? No Worries!

Section 4: Disk and Network Performance Analysis

Lecture 11 Easily Track and Fix Disk Problems with Dynatrace

Lecture 12 Monitor and Improve Network Performance with Dynatrace

Section 5: Mastering Response Time Troubleshooting with Dynatrace

Lecture 13 Uncover the Hidden Patterns Behind Response Time Slowness

Lecture 14 Analyze response Time Issues with Dynatrace ServiceFlow

Lecture 15 End-to-End Response Time Analysis: From Cause to Fix

Lecture 16 Find and Fix Low-Hanging Fruits for Faster Response Times

Lecture 17 How to Tackle Response Time Issues in Complex Architectures

Section 6: Mastering Database Performance Troubleshooting

Lecture 18 Common Database Performance Problems

Lecture 19 Backtrack Slow SQL Queries to Pinpoint Application Requests

Lecture 20 Essential Database Metrics for Effective Monitoring

Lecture 21 Deep Dive into Database Monitoring with Extensions

Section 7: Effortless Kubernetes Monitoring with Dynatrace

Lecture 22 Solve Microservices Problems in Kubernetes with Ease

Section 8: Automatic Tagging in Dynatrace: Enhancing Resource Management and Diagnostics

Lecture 23 How Tagging Helps Organize Resources

Lecture 24 How to Apply Automatic Tagging to Align Resources for Quick Diagnostics

Section 9: Creating Powerful Dashboards for Application Monitoring

Lecture 25 Creating Effective Graphs for Monitoring Applications

Lecture 26 Style Your Dashboards Like a Pro!

Lecture 27 Organize Dashboards with Tags for Better Clarity

Lecture 28 Design a Single Pane of Glass Dashboard for Multiple Customers

Section 10: Management Zones Made Simple

Lecture 29 How to Create and Use Management Zones.

Section 11: Setting Up Alert Profiles That Work for Your Organization

Lecture 30 Set Up Alert Profiles for Precise Monitoring

Lecture 31 Fine-Tune Your Alerts to Meet Business Needs

Lecture 32 Reduce Alert Noise with Fine-Grained Alerting

Lecture 33 Customize Problem Notifications for Your Organization

Section 12: Mastering Anomaly Detection for Performance Monitoring

Lecture 34 How Anomaly Detection Works: A Deep Dive

Lecture 35 How to Overwrite Common Thresholds at the Host Level

Lecture 36 Create Key Business Metrics as Performance Anomalies

Section 13: Simplifying Synthetic and RUM Monitoring

Lecture 37 Track Real User Activity from Browser to Backend and Spot Performance Issues

Lecture 38 Simulate User Journeys with Synthetic Monitoring to Detect Performance Slowness

Section 14: Taking Ownership with Dynatrace

Lecture 39 Who’s in Charge? Managing Ownership in Dynatrace.

Section 15: Mastering Site Reliability Engineering (SRE)

Lecture 40 Why Site Reliability Engineering (SRE) Matters for Your Organization

Lecture 41 SLO, SLI, SLA: What They Are and Why You Need Them

Lecture 42 Set Up Service Level Objectives to Monitor Service Availability

Lecture 43 Measure User Experience with Service Level Objectives

Section 16: What’s New in Dynatrace?

Lecture 44 The Latest in Dynatrace Infrastructure & Operations

Lecture 45 New Dashboards, New Possibilities!

Section 17: Harnessing the Power of Davis AI

Lecture 46 Davis AI: Automatic Root Cause Analysis for Fast Troubleshooting

Lecture 47 Davis AI: Explore Matching Signals with Explorative Analytics

Lecture 48 Davis AI: Predict Future Problems with Predictive Analytics

Lecture 49 Davis AI: Unlock Seasonal Analytics for Trends and Patterns

Lecture 50 Davis AI: Adaptive Thresholds for Smarter Monitoring

Section 18: Grail and Notebook Insights

Lecture 51 Advanced Uses of Grail in Dynatrace.

Section 19: Automating Problem Management

Lecture 52 Integrate Dynatrace with JIRA for seamless problem management.

Section 20: Automating Support Workflows to Save Time and Money

Lecture 53 Automate L1 Support Workflows to Cut Costs and Boost Efficiency

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