Serverless vs VPS: The Performance Myth
We've been told Serverless is the future of scaling. But in 2026, modern VPS hardware often outperforms serverless functions for typical workloads.
The "Serverless" narrative (Lambdas, Edge Functions) won the marketing war of the last decade. The premise: "Don't pay for idle, infinite scale."
But the hardware reality has changed. Modern VPS Servers (especially those with AMD EPYC cores and NVMe drives) are incredibly powerful and cheap.
The Cold Start Problem
Serverless functions "sleep" when not used. When a user arrives:
- Cloud provider provisions a micro-container.
- Runtime (Node/Python) boots.
- Your code loads.
- Database connection opens.
This chain takes 500ms to 3 seconds. This is the "Cold Start". It kills conversion rates.
The "Always Hot" VPS
A Teploy VPS is always running (Hot).
- RAM: Your app is loaded in memory.
- DB Connection: Pool is established and ready.
- JIT: Code is compiled and optimized.
Response time? 10ms - 50ms. consistently.
Throughput
Serverless functions often have low CPU limits (e.g., half a vCPU). Complex calculations (image resizing, PDF generation, data transformation) are slow.
A $6/mo "High Frequency" Vultr server gives you a 3GHz+ core. It crushes data processing tasks that would time out on Lambda.
Cost at Scale
Serverless is cheaper if you have 1 request per hour. VPS is cheaper if you have 1 request per minute.
Once you have any consistent traffic, the "Pay per execution" model becomes a tax. You are paying a premium for the flexibility of scaling to zero. If you don't need to scale to zero (because you have a business), you are overpaying.
Conclusion
Serverless has its place (event triggers, erratic workloads). But for the core API of a user-facing application, the predictable performance and cost of a modern VPS is superior. Don't be afraid of the server. embrace it.