Serverless Architecture: AWS Lambda at Scale

How we handle 10M requests/day with AWS Lambda while keeping costs under $500/month. Optimization strategies for serverless computing.

AJ Patatanian
AJ Patatanian
5 min read
Serverless Architecture: AWS Lambda at Scale

Traditional servers idle 80% of the time. You're paying for capacity you don't use.

AWS Lambda: Pay only for compute time. $0.20 per 1M requests.

Our CloudSync Pro handles 10 million requests/day for $420/month.

Why Serverless?

Traditional server (EC2 t3.large):

  • Cost: $60/month
  • Capacity: ~1,000 requests/second
  • Idle cost: $60/month even at 0 traffic

Lambda:

  • Cost: $0 at 0 traffic
  • Scales instantly to 10,000 concurrent executions
  • Pay per request

Architecture

API Gateway 
  → Lambda (authentication)
  → Lambda (business logic)
  → RDS Proxy (connection pooling)
  → PostgreSQL

Cost Optimization Strategies

1. Right-Size Memory

More memory = faster execution = cheaper total cost.

Test:

  • 128 MB: 800ms execution, $0.000000208/request
  • 512 MB: 200ms execution, $0.000000104/request

Cheaper with more memory!

2. Reuse Connections

// BAD: New DB connection every request
exports.handler = async (event) => {
  const db = await connectDB();
  // ...
};

// GOOD: Reuse connection
let db;
exports.handler = async (event) => {
  if (!db) db = await connectDB();
  // ...
};

3. Batch Processing

Process 100 records at once instead of 100 individual invocations.

Real Metrics

  • 10M requests/day
  • Average execution: 180ms
  • Memory: 512 MB
  • Cost: $420/month

Conclusion: Serverless works at scale when optimized correctly.

Learn More About CloudSync Pro

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AJ Patatanian

Written by AJ Patatanian

Senior full-stack engineer with expertise in React Native, AI/ML, and cloud architecture. Building production apps at SERA Industries.

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