One of the biggest shifts in my DevOps journey has been moving from simple container deployments to full microservices environments.
Recently, I deployed the Spring PetClinic Microservices application using Docker Compose.
What surprised me most?
The entire environment started with:
docker compose up -d
That's it.
Behind that single command were:
✅ Config Server
✅ Eureka Discovery Server
✅ API Gateway
✅ Customers Service
✅ Visits Service
✅ Vets Service
✅ GenAI Service
✅ Admin Server
Plus a complete observability stack:
✅ Prometheus
✅ Grafana
✅ Zipkin
What I Learned
Service Startup Order Matters
Config Server and Eureka must be available before the other services can start correctly.
Without them:
- Services fail registration
- Configuration isn't loaded
- Communication breaks
This helped me understand why dependency management is so important in distributed systems.
Monitoring Changes Everything
Using Prometheus and Grafana, I could see application metrics in real time.
Instead of guessing what was happening, I had actual visibility into:
- Requests
- Health checks
- Service activity
Debugging Is Part of the Process
One interesting challenge was that some backend APIs were working correctly while certain frontend pages didn't always render data.
API tests returned valid responses, but browser requests occasionally produced 405 and 503 errors.
This reinforced a valuable lesson:
Infrastructure success and application success aren't always the same thing.
Favourite Part
Honestly?
Seeing an entire microservices ecosystem running on my machine was incredibly satisfying.
Watching services register themselves in Eureka, viewing metrics in Grafana, and querying Prometheus made everything feel much closer to a real production environment.
Commands Used
git clone https://github.com/spring-petclinic/spring-petclinic-microservices.git
cd spring-petclinic-microservices
docker compose up -d
docker compose ps
docker compose down
Final Thoughts
This project gave me hands-on exposure to:
- Docker
- Microservices
- Service Discovery
- Monitoring
- Distributed Systems
- Observability
Every project like this makes me more confident in my goal of becoming a Cloud and DevOps Engineer.
What's the most complex application you've ever deployed locally?



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