Forecasting cloud infrastructure spend is critical for startup runway planning. Model compute instances, managed databases, object storage, and egress bandwidth costs before launching.
Early-stage SaaS startups frequently overpay for cloud infrastructure by over-provisioning enterprise services before validating product-market fit. A typical high-reliability startup MVP architecture requires: 1) Two compute nodes (such as AWS t4g.medium or GCP e2-medium with 2vCPU / 8GB RAM) for high availability web serving (~$70–$90/month), 2) A managed relational database instance (AWS RDS PostgreSQL db.t4g.small or Cloud SQL) with automated daily snapshots (~$65–$80/month), 3) Object storage (Amazon S3 or Google Cloud Storage) for user file uploads ($0.023/GB/month), and 4) Network egress bandwidth (typically $0.08–$0.09/GB for external API responses). In total, a production-grade startup infrastructure budget typically averages $180 to $320 per month during the initial 10,000 user growth phase. Leveraging startup credits (AWS Activate, Google for Startups) can offset these costs entirely for the first 12 to 24 months.
Cloud Cost Estimator for Startups
Estimate and compare monthly cloud infrastructure costs across AWS (EC2), Azure, and GCP including compute instances, block storage, and data egress.
Cloud Architecture Infrastructure Estimator
Updated Pay-As-You-Go RatesFull month continuous uptime = 730 hrs
AWS (EC2 + EBS + Data)
$128.74
Estimated Total Monthly
Microsoft Azure
$119.24
Estimated Total Monthly
Google Cloud Platform
$128.58
Estimated Total Monthly
Want to optimize your cloud architecture and cut bills by 40%+?
Read our technical guide on cost allocation, auto-scaling thresholds, and reserved instances.
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