How We Built ServeP2E: Our Infrastructure Deep Dive

Building for Scale from Day One

When we set out to build ServeP2E, we knew we needed infrastructure that could:

• Handle unpredictable traffic patterns (APIs can go viral)
• Provide low latency globally
• Scale to zero when not in use
• Remain simple enough for a small team to maintain

Here's how we approached each challenge.

The Architecture

At a high level, ServeP2E consists of:

• API Gateway: Routes requests to the right endpoint
• Execution Layer: Runs the generated API logic
• Edge Cache: Stores responses for faster subsequent requests
• Control Plane: Manages endpoint configuration and deployment

Request Flow

User Request
    ↓
Edge Location (nearest to user)
    ↓
API Gateway (authentication, rate limiting)
    ↓
Cache Check (return if hit)
    ↓
Execution Layer (run the API logic)
    ↓
Response + Cache Update
    ↓
User

Edge-First Design

Every ServeP2E request is handled at the edge location nearest to the user. This means:

• Lower latency: Requests travel shorter distances
• Better reliability: No single point of failure
• Global scale: We can serve users anywhere

We use a combination of edge computing platforms to achieve this, with automatic failover between providers.

The Execution Model

When you create an API, ServeP2E generates executable logic that runs in isolated environments. Each request:

• Starts a fresh execution context (no state leakage between requests)
• Has resource limits (CPU time, memory, network)
• Times out after 30 seconds (configurable on paid plans)

This model ensures that one user's API can't affect another's performance.

Handling Traffic Spikes

APIs can go from 0 to 10,000 requests per second without warning. We handle this with:

• Automatic scaling: New execution environments spin up as needed
• Request queuing: Brief queues prevent overload during spikes
• Graceful degradation: We prioritize cached responses during extreme load

What We Learned

Building ServeP2E taught us several lessons:

1. Simplicity Wins

Every additional component is a potential failure point. We constantly ask: "Can we remove this?"

2. Observability is Critical

When something goes wrong at scale, you need to find it fast. We instrument everything and alert on anomalies.

3. Users Don't Care About Infrastructure

They care about their API working. Our job is to make the infrastructure invisible.

What's Next

We're continuously improving:

• Faster cold starts: Reducing the time to first response
• Smarter caching: Automatically caching based on usage patterns
• Better observability: More detailed logs and metrics for users

Want to learn more about how ServeP2E works? Check out our documentation or reach out on Twitter.