Blog | Backport

Every developer has been there: your API goes viral, HN front page, or a influencer tweets your link — and within minutes, your backend crumbles under the traffic.

The Problem: Traditional Architecture

Most backends are built for steady, predictable traffic. They assume:

Traffic comes in at a steady rate
Each request is independent
Database can handle the load
No malicious actors trying to abuse the system

In the real world, none of these assumptions hold. One viral tweet can bring 100,000 requests in 60 seconds. A single bot can hammer your API with thousands of requests per minute. And one clever attacker can bring down your entire database with a simple SQL injection.

What Happens Without Protection

Without an API Gateway

🐛 Bots hammer your API with thousands of requests per second
📊 Same database query runs 1000× unnecessarily on hot paths
💉 SQL injection slips right past your bare endpoint
💰 Duplicate payments processed when user retries a payment
📈 Zero visibility into traffic hitting your raw server

The Solution: API Gateway Architecture

An API gateway sits between your clients and your backend, providing a layer of protection and optimization:

With Backport Gateway

🛡️ Rate limiter drops abusers before they touch your code
⚡ LRU cache serves repeated responses in microseconds
🔒 WAF intercepts malicious payloads at the gateway layer
🔁 Idempotency keys ensure each operation runs exactly once
📊 Real-time dashboard shows every request, hit, and block

Understanding Rate Limiting

Rate limiting is the first line of defense against abuse. Backport uses a sliding window algorithm:

# Sliding Window Rate Limiting
# Window: 60 seconds
# Limit: 60 requests per minute

Request 1: timestamp 10:00:00 → ✓ Allowed (1/60)
Request 2: timestamp 10:00:15 → ✓ Allowed (2/60)
...
Request 60: timestamp 10:00:59 → ✓ Allowed (60/60)
Request 61: timestamp 10:01:00 → ✗ Rate Limited (HTTP 429)

# Old requests expire, new ones can be processed
Request 62: timestamp 10:01:01 → ✓ Allowed (2/60)

Caching: The Secret Weapon

Caching is the most effective way to reduce backend load. A simple LRU (Least Recently Used) cache can reduce database queries by 90%:

Without Cache

Every request hits the database:

Request 1: 200ms (DB Query)
Request 2: 200ms (DB Query)
Request 3: 200ms (DB Query)
...
Request 1000: 200ms (DB Query)

With LRU Cache

Repeated requests served from memory:

Request 1: 200ms (DB Query)
Request 2: 0.4ms (Cache HIT)
Request 3: 0.4ms (Cache HIT)
...
Request 1000: 0.4ms (Cache HIT)

Conclusion

Traditional backends are not designed to handle traffic spikes, bot abuse, or malicious attacks. By adding an API gateway like Backport in front of your backend, you get:

Protection against DDoS and bot abuse
Reduced database load through caching
Security against SQL injection and XSS
Reliability through idempotency
Visibility into your API traffic

Best of all, Backport requires zero code changes to your existing backend. Just point your traffic through the gateway and you're protected.

Why Traditional Backends Fail Under Burst Traffic