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Cloud Architecture
Apr 11, 20268 min readAI App Deployment Architecture: Simple vs Overengineered
A founder-focused framework for choosing cloud architecture that supports AI deployment without paying an enterprise tax too early.
cloud architecture
AI deployment
Terraform Kubernetes
DevOps consulting
The startup architecture trap
Teams regularly adopt Kubernetes, complex Terraform stacks, or multi-cloud patterns before their product has a stable workload profile.
That usually increases operational drag without improving reliability for the current stage of the business.
What simple architecture gets right
Simple architecture is not about cutting corners. It is about matching the operating model to the actual product risk.
- Use the smallest deployable platform that supports rollback and observability.
- Adopt Terraform Kubernetes only when the workload or governance needs justify it.
- Design for portability before scale complexity, not after.
When to evolve the stack
The right time to add platform complexity is when the team can name the bottleneck clearly: compliance, tenancy, throughput, environment sprawl, or deployment safety.
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