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 -> Set up Synthetic Monitoring (HTTP + Browser) for the Full Stack Web App
- Project #10 -> Deploy OpenPipeline to monitor Software Development Lifecycle in GitHub (CI in GitHub Actions)
- Project #11 -> Application Security with Dynatrace: detect runtime CVEs (Log4Shell), configure RAP, triage with Davis Security Score on OWASP Juice Shop
- Project #12 -> AI Observability for LLM Applications. Use OpenLLMetry & Dynatrace to monitor RAG LLM App (OpenAI API Integration)
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Latest Course updates:
- AI Observability for LLM Applications Project: + 1.5 hrs of new content
- Synthetic Monitoring Project: +1.2 hrs of new content
- Application Security Project: +1.6 hrs of new content
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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 Dynatrace.
Some of them are:
1. AWS: LightSail, EC2, RDS, VPC, Amplify, S3
2. VPN: Outline
3. GCP: AppEngine, Kubernetes Environment, Cloud APIs (Cloud Build etc.)
4. Docker + Helm
5. Python
6. Streamlit
7. GitHub Actions (used for CI)
8. OWASP Juice Shop (Node.js) & Log4Shell (Java) vulnerable apps (for AppSec demos)
9. OpenAI API + OpenLLMetry/Traceloop SDK (for AI Observability)
We will see how they work together and combine into amazing tech solutions.
Dive into hands-on projects that will shape your expertise:
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 (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 (Infrastructure & Operations, Distributed Tracing, Agentless RUM) to monitor users' experience (Appdex)
Project #9: Synthetic Monitoring for the FullStack App. Set up Dynatrace HTTP and Browser synthetic monitors against a live AWS-deployed app, script multi-step user journeys with stable selectors, query results in DQL, and catch outages before real users do
Project #10: 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
Project #11: Application Security with Dynatrace. Set up OWASP Juice Shop (Node.js) and a Log4Shell-vulnerable Java app on AWS, enable Runtime Vulnerability Analytics and Runtime Application Protection (RAP), triage CVEs using the Davis Security Score, and exercise live exploit scenarios against the demo apps
Project #12: AI Observability for LLM Applications. Use OpenLLMetry (Traceloop SDK) & Dynatrace to monitor RAG LLM App (OpenAI API 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, Synthetic, Vulnerabilities, Threats & Exploits
* 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, Infrastructure & operations, Distributed Tracing, etc.) to fully monitor its performance & user satisfaction (Appdex)
* Set up Dynatrace Synthetic Monitoring (HTTP + Browser) with multi-step user journeys, stable selectors, and DQL-based analysis
* Deploy OpenPipeline (Ingest Source + Dynamic Routing + 3 pipelines) to monitor Software Development Lifecycle of an Analytical Micro-service in GitHub
* Enable Dynatrace Application Security: detect runtime vulnerabilities (including CVE-2021-44228 Log4Shell), triage findings by Davis Security Score, configure Runtime Application Protection (RAP)
* Set up Observability & Monitoring for LLM-powered applications (+ RAG functionality). Use Distributed Tracing, Notebooks & Dashboards Dynatrace apps to analyze requests, spans and LLM + RAG Apps' performance
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
