What you'll learn:
- Platform Architecture & Key Components
- Dynatrace API: Automating Interactions with the platform (THEORY)
- Dynatrace Latest UI & Functionalities (THEORY + PRACTICE)
- Host Monitoring: Metrics, Dashboards, Infrastructure performance
- Project #1 -> Manage end-user Digital Experience || Improve UX for website's visitors
- Project #2 -> Monitoring a VPN server in AWS || Make sure your cloud VPN infrastructure runs robustly
- Project #3 -> Exploring Logs & Metrics Interactively in Notebooks. Fetch infra logs, connect to external data & analyse insights interactively
- Project #4 -> Database Monitoring: Dynatrace + PostgreSQL in AWS
- Project #5 -> Monitoring a GCP-based Web App with Dynatrace. Use Dynatrace to monitor & observe a GCP-based ML-powered App hosted with Google AppEngine
- Project #6 -> Automating IT processes with Workflows. Use Dynatrace Workflows to save time spent on DevOps work. Automate IT landscape management
- Project #7 -> Monitoring a Micro-services based Application deployed to AWS EKS
- Project #8 -> FullStack Web App deployment to AWS & Dynatrace integration (Agentless RUM, Distributed Tracing, Backend performance monitoring)
- Project #9 -> Deploy OpenPipeline to monitor Software Development Lifecycle in GitHub (CI in GitHub Actions)
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[2025/26 Course Updates Log]:
1) OpenPipeline Practice case (+ 1h 40mins of content)
Deploy OpenPipeline (Ingest Source + Dynamic Routing + 3 pipelines) to monitor Software Development Lifecycle of an Analytical Micro-service in GitHub. Dynatrace OpenPipeline, Dashboards, Notebooks & GitHub Actions (CI) Integration
2) FullStack Web App: AWS Deployment & Dynatrace Integration (+2hrs 20mins of content)
Backend (NodeJS) monitoring (Deep Monitoring with OneAgent), Agentless Real User Monitoring (front-end), Session Segmentation, Distributed Tracing, Appdex
It's available under {Project #8}
3) Revamped:
- Section #7 (Monitoring a VPN Server) - new UI coverage, new Dynatrace Apps used
- Section #8 (Host Monitoring -> UI &Working with Insights) - updated Dynatrace Apps experience
- Section #9 (Notebooks) - additional features reviewed, Settings New App
- Section #10 (Database Monitoring: PSQL) - new psql Dynatrace Hub Extension used
- Section #11 (Competitors) - updated content for Q4 2025 relevance
- Section #12 (SaaS vs Managed) - updated content for Q4 2025 relevance
- Section #14 (GCP-based Web App) - updated GCP experience & Dynatrace Apps used
- Section #5 (API) +Metrics Ingest functionality covered
- Section #4 (Digital Experience & UX Improvement) - new apps & Interfaces
- Section #15 (Workflows) - New Workflows App experience + HTTP request functionality + new types of Nodes overview
- Section #20 (Learning more of Dynatrace) - Added new strategies & External resources
Course's duration lengthened by 1h 20 mins
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Learn Observability, Monitoring & Automations with Dynatrace through Practice Cases!
Dynatrace is a 1-stop Analytics & Automation Platform for Industry-leading Unified Observability & Security
In this course we'll create a strong theoretical foundation of the Platform's principles and get hands dirty by applying newly learnt concepts in practice straight away!
There are many different technologies that we will use throughout this course alongside with Dynatrace.
Some of them are:
AWS: LightSail, EC2, RDS, VPC, Amplify, S3
VPN: Outline
GCP: AppEngine, Kubernetes Environment, Cloud APIs (Cloud Build etc.)
Docker
Python
Streamlit
GutHub Actions (used for CI)
We will see how they work together and combine into amazing Tech solutions
2 of the Practice cases are about Application Performance Management.
Dive into hands-on projects that will shape your expertise, including:
Project #1: Manage end-user Digital Experience || Improve UX for website's visitors
Project #2: Monitoring a VPN server in AWS || Make sure your cloud VPN infrastructure runs robustly
Project #3: Exploring Logs & Metrics Interactively in Notebooks. Fetch infra logs, connect to external data & analyse insights interactively
Project #3: Database Monitoring: Dynatrace + PostgreSQL in AWS
Project #5: Monitoring a GCP-based Web App with Dynatrace. Use Dynatrace to monitor & observe a GCP-based ML-powered App hosted with Google AppEngine
Project #6: Automating IT processes with Workflows. Use Dynatrace Workflows to save time spent on DevOps work. Automate IT landscape management
Project #7: Monitoring a Micro-services based Application deployed to AWS EKS (k8s in AWS Cloud). Backend + 2 Data Bases (PostgreSQL & MongoDB). Learn to track multi-pod workloads in your k8s cluster with Dynatrace
Project #8: FullStack Web App: AWS Deployment & Dynatrace Integration. Learn to deploy a fully functioning FullStack Web Application (NodeJS + Typescript, Postgresql + Prisma, Redux + NextJS) to AWS Cloud (EC2, S3, RDS, Amplify, VPC & Subnets) and connect Dynatrace SaaS platform (Hosts, Distributed Tracing, Agentless RUM) to monitor users' experience (Appdex)
Project #9: OpenPipeline: Deploy OpenPipeline (Ingest Source + Dynamic Routing + 3 pipelines) to monitor Software Development Lifecycle of an Analytical Micro-service in GitHub. Dynatrace OpenPipeline, Dashboards, Notebooks & GitHub Actions (CI) Integration
By the end of this course you will be able to:
Use Dynatrace UI to Monitor Cloud(s) environment(s)
Use different Dynatrace Apps: Hosts, Logs, Dashboards, Notebooks, GCP, Settings, OneAgent, Problems, SmartScape Topology, FrontEnd, Distributed Tracing
Connect Dynatrace to AWS Environment to Monitor a VPN Server
Connect Dynatrace to Kubernetes in GCP & Monitor ML-based App
Explore & Analyse Logs/Metrics data in Dynatrace Notebooks
Use DQL to query Grail DataBase
Use Davis AI (Dynatrace proprietary AI) to predict future metrics values
Deploy OneAgent to monitor any type of Host
Connect Dynatrace to AWS EKS using ActiveGate & monitor micro-services based Applications
Deploy a FullStack Web Application to AWS Cloud & connect Dynatrace (Agentless RUM, Hosts, Distributed Tracing, etc.) to fully monitor it's performance & user satisfaction (Appdex)
Deploy OpenPipeline (Ingest Source + Dynamic Routing + 3 pipelines) to monitor Software Development Lifecycle of an Analytical Micro-service in GitHub
The course isn't static! I collect students' feedback and work on improving it
Digital assets used:
-Image from cookie_studio with free licence from freepik dot com
