Dynatrace – Hero To Superhero In Production Performance

Free Download Dynatrace – Hero To Superhero In Production Performance
Published 11/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.83 GB | Duration: 6h 0m
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

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