Dynatrace — quick tutorial notes

Dynatrace — quick tutorial notes (your outline, cleaned + expanded)

1) What is Dynatrace?

Dynatrace is an Observability (Obs) platform that unifies:

• APM (traces + service performance)
• Infrastructure monitoring (hosts, processes, containers, K8s, cloud)
• Logs (ingest, search, correlate)
• Digital Experience / RUM (real user monitoring)
• AI-assisted problem detection (Davis) and alerting/problem workflow (Dynatrace Documentation)

2) Monitoring vs Observability (the “future vs past” idea)

Your statement is a useful mental model:

• Monitoring: Events → Past → Alert → Human takes action
• Observability: Events + context → Predict/Detect earlier → Alert → (Often) auto / guided action

Dynatrace leans toward observability by automatically correlating signals (metrics/logs/traces + topology) into Problems with root-cause guidance.

3) The universal pipeline

Collect → Store → Analyze → Alert → Dashboard

Dynatrace mapping (typical):

• Collect: OneAgent (+ extensions, OpenTelemetry, log ingest)
• Store: Dynatrace backend (SaaS/Managed)
• Analyze: Davis AI + distributed tracing + entity model/topology
• Alert: Problems + alerting profiles + integrations
• Dashboard: Dashboards / Notebooks / Explorer views

4) High-level architecture

[Servers / VMs / K8s Nodes / Cloud] 
        |
     ONEAGENT
        |
   Dynatrace backend
        |
        UI (Apps, Dashboards, Notebooks)
        |
   PROBLEMS (Davis)

OneAgent is the “single agent” that auto-instruments many stacks out-of-the-box (Dynatrace Documentation)

5) MELT model in Dynatrace

MELT = Metrics, Events, Logs, Traces

In Dynatrace, these combine into a single “story”:

• Metrics → counters/gauges/timers (infra + app)
• Logs → text records (app/system)
• Traces → spans/transactions across services

Dynatrace correlates these into entities (host, process, service, pod, namespace, database, etc.) and then into Problems.

6) “What gets monitored?” (your list)

Dynatrace commonly covers:

• Servers/OS, Docker, Kubernetes, Cloud
• Apache, Tomcat
• MySQL
• Network / synthetic checks / RUM (depending on setup)

OneAgent supports broad technology coverage and modules by platform (Dynatrace Documentation)

Hands-on labs (based on your links)

Lab A — Deploy OneAgent as a Docker container (container platforms)

Use this when you want OneAgent running as a container on a Docker host / container platform.

Official guide: Set up Dynatrace OneAgent as a Docker container (Dynatrace Documentation)
(You’ll copy the installer URL/token from Dynatrace UI as shown in that doc.)

Key outcome:

• OneAgent container runs on the host and can provide full-stack/container monitoring (depending on mode and platform).

Related Docker setup hub page (overview/entry point) (Dynatrace Documentation)

Lab B — Deploy OneAgent at scale (orchestration)

If you have many hosts, don’t do it manually.

Dynatrace provides deployment orchestration scripts, including an Ansible collection path (Dynatrace Documentation)

Use-cases:

• Standardize agent rollout
• Controlled upgrades
• Consistent tokens / endpoints / tags

Lab C — Install a demo app: easyTravel on Docker (great for demos)

This is the quickest way to generate real telemetry (services, traces, DB calls, errors, response time, etc.).

Repo: Dynatrace easyTravel-Docker (GitHub)

Typical flow:

1. Clone the repo
2. Configure Dynatrace endpoint/tenant vars (as README describes)
3. Start the stack (often via docker-compose / scripts in the repo)
4. Generate traffic
5. Watch Dynatrace auto-discover services → see traces → see Problems

(Your DevOpsSchool post also references the same “sample app for demo/lab” idea.) (DevOps School)

Lab D — OneAgent CLI basics (host-level operations)

Dynatrace has an official CLI reference for oneagentctl used for post-install configuration on a host (Dynatrace Documentation)

Common things teams do with oneagentctl:

• Set monitoring mode
• Networking/proxy settings
• Host tagging (depending on environment)
• Troubleshooting agent status

Your DevOpsSchool CLI reference can be used as a quick “cheat sheet” too (DevOps School)

“Problems” view (your Dynatrace UI link)

You shared a Problems URL from your tenant, but it requires Dynatrace login so I can’t read its contents directly from here. What you’ll typically validate on that page:

• Problem title + impact (services/users)
• Root-cause entity (host/service/pod/process)
• Contributing events (deployments, resource saturation, errors)
• Related traces/logs/metrics in one timeline

If you want, paste a screenshot or the text from that Problem page and I’ll turn it into a clean incident-style note (symptoms → impact → root cause → fix → prevention).