Cloud for Startups: Choosing the Right Cloud Stack to Scale from MVP to $10M ARR
The Startup Cloud Decision
Startups choosing a cloud provider face a different set of trade-offs than enterprises. Developer productivity, startup credits, managed service breadth, and ecosystem fit matter more than multi-year cost optimisation.
Startup Credits Available
| Program | Credits | Duration | Eligibility |
|---|---|---|---|
| AWS Activate (Founders) | $1,000 | 2 years | Seed stage |
| AWS Activate (Portfolio) | $5,000-100,000 | 2 years | VC-backed, via partner |
| Azure for Startups | $5,000-150,000 | 1-2 years | Via partner network |
| GCP for Startups | $2,000-200,000 | 2 years | Via VC/accelerator |
| OCI for Startups | $100,000+ | 2 years | Via Oracle startup program |
Always-Free Tier Comparison
| Resource | AWS | Azure | GCP | OCI |
|---|---|---|---|---|
| Compute | t3.micro (750hr/mo, 1yr) | B1s VM (1yr) | e2-micro (1 instance, US only) | A1.Flex (4 OCPU, 24GB RAM, forever) |
| Object Storage | 5 GB S3 | 5 GB Blob | 5 GB Cloud Storage | 20 GB, forever |
| Database | RDS t3.micro (750hr/mo, 1yr) | SQL Database (32MB, 1yr) | Cloud SQL (not free) | ATP/ADWC (1 OCPU, 20GB, forever) |
| Lambda/Functions | 1M req/mo, 400k GB-sec | 1M req/mo | 2M req/mo | 2M req/mo |
By Tech Stack
Node.js / Python API Backend
All clouds work well. GCP Cloud Run (serverless containers) with automatic scale-to-zero is ideal for early-stage with unpredictable traffic. AWS App Runner is similar. OCI provides the best value for sustained workloads.
Java / Spring Boot Enterprise
AWS and Azure have the most enterprise Java tooling. AWS Corretto is free Amazon JDK. Azure Spring Apps is a managed Spring Cloud platform.
.NET Applications
Azure is the natural home — deepest .NET integration, Visual Studio tooling, and Azure DevOps. Azure App Service runs .NET apps with minimal configuration.
Machine Learning / AI
GCP Vertex AI has the best ML tooling and cheapest GPU spot pricing. AWS SageMaker is most mature. Azure offers best enterprise AI governance.
Scaling Economics by Stage
| Stage | Monthly Spend | Priority | Recommended |
|---|---|---|---|
| Pre-revenue | $0-200 | Free tier, managed services | GCP or OCI (best free tier) |
| Early traction | $200-2,000 | Developer speed, reliability | AWS (broadest services) |
| Series A | $2k-20k | Performance, compliance | AWS or GCP |
| Series B+ | $20k-200k | Cost optimisation, RI purchasing | Evaluate all including OCI |
| Scale | $200k+ | Enterprise agreements, multi-cloud | Primary + OCI for cost |
For most startups: start on GCP or OCI for the best free tier, or AWS for the broadest service selection. Migrate to whichever platform best fits your cost and technical requirements once you have real usage data. Don't over-engineer cloud strategy at MVP stage.
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