
Most modern startups begin with a dream: iterate fast, ship often, and delight users. For the first deployments, many teams reach for Vercel — the “deploy in seconds” platform that made Git-connected deployments and preview URLs a standard. But as real traffic arrives and products scale, a new truth emerges:
Ease of use isn’t enough — ownership, cost transparency, and enterprise-grade control eventually matter more.
Enter the new wave of startups migrating from Vercel to AWS, and tools like Obelis AI that make this transition not just possible — but simple.
Vercel’s meteoric rise was built on two pillars:
Zero-config deployments — push code, and it builds and deploys automatically.
Edge network and preview URLs — every branch gets a live preview in seconds.
For early-stage projects, especially frontend JAMstack or Next.js sites, Vercel feels magical. Developer productivity goes up, time to market shrinks, and teams can ship features weekly instead of monthly.
But here’s where startups start to hit ceilings:
Teams sometimes find their bills balloon unpredictably — even as revenue grows. One founder reported his bill jumping from ~$50/month to ~$1,200/month as usage grew, eating into runway. After migrating to AWS, his hosting costs stabilized at ~$200/month.
Vercel isn’t just a host — it’s an ecosystem. Features like ISR, middleware, or preview environments use proprietary methods tightly woven with Next.js. That integration makes migrating not trivial once your app depends on those features.
Vercel is exceptional for frontend and simple serverless functions — but heavy backend logic, long-running processes, custom networking, and compliance requirements often push teams to look elsewhere.
AWS has been the backbone of cloud infrastructure for over a decade. Its strengths are undeniable:
Huge service catalog — compute, database, AI/ML, networking, analytics, you name it.
Global infrastructure — 30+ regions, 100+ availability zones.
Enterprise-grade security, compliance, and governance.
Pay only for what you use — with savings plans and reserved instances for optimization.
Many large startups (and legacy enterprises) choose AWS because it scales with them — from MVP to global user base — without changing providers.
But AWS isn’t perfect for every startup:
Navigating IAM policies, networking, and security configs can take months, not minutes.
Without DevOps automation, AWS can require engineers to craft pipelines, configs, and monitoring — something small teams often don’t have bandwidth for.
That’s the fundamental tension: Vercel delivers ease but limited power, AWS delivers power but complexity.
This is exactly the problem Obelis AI aims to solve.
Obelis AI is an AI-powered DevOps platform that lets you:
Deploy your app to your own AWS account in minutes, no DevOps experience required.
Connect your GitHub repo and AWS credentials — Obelis handles the rest.
Let AI analyze your code and generate optimized AWS infrastructure automatically.
And these aren’t just marketing claims — they’re core design principles.
As traffic scales, startups want transparency – not surprise bills. AWS, with Obelis managing the deployment, helps keep this predictable.
Need custom backends, enterprise features, or compliance? AWS has it — and Obelis AI makes it accessible.
With Vercel, deeply coupled features can be hard to untangle. With AWS + Obelis, your infrastructure belongs to YOU.
Deploy in minutes like Vercel — but grow without rearchitecting later.
There’s no single “right” choice for every startup. For early prototyping, Vercel is still fantastic. But as startups grow — especially beyond 50k+ unique users — the calculus changes. Cost, control, flexibility — these become strategic advantages.
Obelis AI stands at this intersection: simplicity for builders + AWS power for scale. It’s not just a hosting platform — it’s the next generation of DevOps automation.
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