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The Simple Infrastructure That Outperformed Cloud-Native Hype
How a boring stack of VMs and PostgreSQL beat our microservices architecture in every metric that mattered
Last quarter, I did something that would make any cloud-native enthusiast cringe: I migrated our core service from a sophisticated Kubernetes cluster with twelve microservices back to three virtual machines running a monolithic application. The results? Response times dropped by 60%, our cloud bill decreased by $8,000 monthly, and my on-call anxiety practically vanished.
This isn’t a contrarian hot take. It’s a confession from someone who spent two years drinking the cloud-native Kool-Aid, only to discover that sometimes the boring solution is the right solution.
The Architecture We Abandoned
Our original setup looked impressive on paper. We had:
- A Kubernetes cluster with 15 nodes
- Twelve microservices communicating via gRPC
- Redis for caching, RabbitMQ for messaging
- Elasticsearch for logging
- Prometheus and Grafana for monitoring
- A service mesh (because why not?)
