Dynatrace Masterclass – The Complete Guide for Beginners

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: The Basics

Lecture 1: Create an account with Dynatrace

Lecture 2: Logging to Dynatrace

Lecture 3: Important: Latest Interface vs Classic View (we will learn both!)

Lecture 4: Deploy Dynatrace OneAgent

Chapter 3: Infrastructure Observability

Lecture 1: Host Performance data

Lecture 2: Host Problems monitoring

Lecture 3: Types of Dynatrace Problems monitoring

Lecture 4: Host availability

Lecture 5: Host Processes monitoring

Lecture 6: Host Events

Lecture 7: Host Logs

Lecture 8: Quick tip on the Timeframe selector

Lecture 9: Full Stack vs Instrastructure Only Monitoring

Lecture 10: Frequent Issues feature

Lecture 11: Renaming your host

Lecture 12: Exclude specific Disks and Network traffic from monitoring

Lecture 13: Network Monitoring

Chapter 4: Cloud Automation

Lecture 1: Cloud Automation intro

Lecture 2: Releases

Lecture 3: Service-level objectives

Lecture 4: Creating a new SLO

Chapter 5: Application Observability

Lecture 1: Web applications – Performance Analysis

Lecture 2: Web applications – User Behaviour Analysis

Lecture 3: Web applications – Waterfall Analysis tool

Lecture 4: Hyperlyzer – Show Top Findings

Lecture 5: Mobile applications – User Experience metrics

Lecture 6: Mobile applications – Web Requests metrics

Lecture 7: Mobile applications -crashes and errors

Lecture 8: Mobile applications – data privacy

Lecture 9: Mobile App Settings – General settings

Lecture 10: Service monitoring

Lecture 11: Database monitoring

Chapter 6: Other useful features

Lecture 1: Dynatrace Hub

Lecture 2: Explore the Manage Menu options – Status, Notifications, Access Tokens and more

Lecture 3: Metrics overview

Lecture 4: Reports

Chapter 7: Dynatrace Latest Interface Platform Overview

Lecture 1: Overview of the Interface

Lecture 2: Explore live demo tenant

Chapter 8: Dynatrace Platform core components

Lecture 1: Overview of the Dynatrace solutions and components

Lecture 2: AutomationEngine

Lecture 3: AppEngine

Lecture 4: Smartscape

Lecture 5: Davis AI

Lecture 6: Grail

Lecture 7: Unified Ingest

Lecture 8: PurePath

Lecture 9: OneAgent

Chapter 9: Application Observability – Part 2

Lecture 1: Intro

Lecture 2: Distributed traces overview

Lecture 3: Multidimensional analysis overview

Lecture 4: Multidimensional analysis – Top web requests

Lecture 5: Multidimensional analysis – Top database statements

Lecture 6: Multidimensional analysis – Exception analysis

Lecture 7: Multidimensional analysis – create analysis from scratch (part 1)

Lecture 8: Multidimensional analysis – create analysis from scratch (part 2)

Lecture 9: Multidimensional analysis – create analysis from scratch (part 3)

Lecture 10: Profiling and optimization overview

Lecture 11: CPU profiling

Lecture 12: Process crashes

Chapter 10: Application Security

Lecture 1: Security Overview

Lecture 2: Third-party vulnerabilities

Lecture 3: Code-level vulnerabilities

Lecture 4: Attacks

Chapter 11: Digital Experience

Lecture 1: Session segmentation

Lecture 2: Session segmentation – filtering for better analysis

Lecture 3: Individual Session deep dive

Lecture 4: Query user sessions

Lecture 5: Session Replay

Lecture 6: Synthetic monitoring overview

Lecture 7: Setup synthetic monitoring – let's practice

Lecture 8: TIP – Quickly create additional similar monitors

Lecture 9: Synthetic monitoring – create a clickpath monitor

Lecture 10: Synthetic monitoring – explore all setting options

Chapter 12: Observe and explore – Notebooks and DQL (Dynatrace Query Language)

Lecture 1: Notebooks intro

Lecture 2: Create our first notebook using DQL (Dynatrace Query Language)

Lecture 3: Create our first notebook part 2 – using DQL to fetch, filter, limit, etc data

Lecture 4: Notebooks – continue learning Dynatrace Query Language (DQL)

Lecture 5: DQL – contains, comments, endswith

Lecture 6: DQL – OR, filtering out, summarize results, timeseries, CountIF

Lecture 7: DQL – Visualizations

Lecture 8: Notebook Markdown

Lecture 9: Editing Notebook sections

Lecture 10: DQL – Sampling data

Lecture 11: DQL – Bin data for better analysis

Lecture 12: DQL – best practice on query structure

Lecture 13: TIP – DQL reference

Chapter 13: Observe and Explore – Data Explorer