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Case Study: Saving Over 99% by Migrating from Public Cloud to Private Cloud

Background
Our client initially hosted their SaaS MVP on a public cloud provider. While this setup offered convenience, it quickly became unsustainable—despite having fewer than 100 daily users, the hosting costs were unreasonably high for the size and usage of the project.

Challenge
The main challenge was to find a more cost-effective infrastructure that could handle up to 10,000 daily users without incurring substantial overage fees.

I evaluated several options. Public cloud providers like Vercel offered a great developer experience but came with a high price tag. Private cloud providers like Hostinger were significantly more affordable but required manual setup and DevOps effort.

Solution
We migrated the application to a private cloud provider for $6.99/month, which included:

2 virtual CPU cores
8 GB of RAM
100 GB of NVMe SSD storage
8 TB of bandwidth
A similar configuration with a public cloud provider like Vercel would have cost approximately $1,220/month.

To retain the same ease of use that platforms like Vercel and Fly.io provide, I set up a modern CI/CD pipeline using:

GitHub Actions for automated deployments
Docker for containerization
Watchtower for automatic container updates
This setup delivered the same developer velocity—at less than 1% of the cost.

Results
Cost per user/month (public cloud): $0.122
Cost per user/month (private cloud): $0.0007
Savings: Over 99% reduction in per-user hosting costs
This made the infrastructure sustainable for early-stage scaling and dramatically reduced burn rate.

Strategic Insight
Private cloud hosting is ideal for bootstrapped startups validating a business idea. With Docker-based deployments, you can scale to 100k daily users on a fixed monthly cost.

When you hit the performance ceiling of your private cloud provider, your app is already Dockerized—making it easy to migrate to scalable public cloud platforms like:

  • Fly.io
  • AWS Fargate
  • Google Cloud Run
  • Azure Container Apps

Recommendation
Use private cloud providers in the early stages of building your SaaS. Once a cost-benefit analysis favors moving, transition to an Open Cloud Stack-compliant public provider.

Conclusion
Migrating to a private cloud saved over 99% in hosting costs while preserving performance and scalability. This case study shows how a strategic shift in infrastructure can create massive efficiency gains for early-stage startups.

If you’re building a SaaS and want to avoid burning money on cloud hosting, I help founders cut costs by over 99% without sacrificing scalability. Book an appointment baileyburnsed.dev

posted to Icon for group Productized Services
Productized Services
on September 6, 2025
  1. 1

    I don't understand how private clouds can be cheaper when you are exclusive use compared to public cloud shared.

  2. 1

    Really interesting case study — cost isn’t just a number on a bill, it’s a validation constraint that impacts runway and decision bandwidth.

    Curious — as you were planning the migration, what was the behavioral signal that told you the infrastructure savings were worth the engineering effort?

    For example:

    • predictable month-to-month cost vs surprise spikes
    • performance stability under real traffic
    • fewer “was it the infra or code?” debugging sessions

    That kind of signal usually makes the cost trade-off idea actionable for early founders.

    1. 1

      I prefer predictable month to mont costs, when you are prototyping you need to keep uncessary risk undercontrol

      1. 1

        That framing is the key insight.

        Predictable costs aren’t just cheaper — they reduce decision noise while you’re still prototyping. When infra spend is stable, you can reason about product and usage without constantly second-guessing whether a spike is real demand or just billing behavior.

        In that phase, lowering variance is often more valuable than optimizing for absolute cost. It protects focus and keeps risk where it belongs: in the product, not the platform.

        This is a great example of why the “right” infrastructure choice depends on the stage, not just the tech.

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