How to use reverse proxies effectively
· Category: System Design
Short answer
A reverse proxy sits between clients and backend servers, handling cross-cutting concerns like security, performance, and request routing.
Steps
- Terminate TLS at the proxy to offload cryptographic work from applications.
- Compress responses with gzip or brotli to reduce bandwidth.
- Cache static content and common API responses to improve latency.
- Route requests to different backends based on path, host, or headers.
- Apply access controls, rate limiting, and request filtering.
Tips
- Use a reverse proxy to centralize logging and observability.
- Configure keepalive connections to backends to reduce TCP overhead.
- Employ WebSocket support if the proxy needs to handle persistent connections.
- Regularly update the proxy software to patch security vulnerabilities.
Common issues
- Reverse proxy becoming a single point of failure without redundancy.
- Buffering large requests or responses causing memory pressure.
- Incorrect header forwarding breaking client IP detection.
- Complex routing rules becoming difficult to maintain.
Example
# Consistent hashing for service discovery
import hashlib
def get_node(key, nodes):
hash_val = int(hashlib.md5(key.encode()).hexdigest(), 16)
return nodes[hash_val % len(nodes)]
node = get_node('user-123', ['node-a', 'node-b', 'node-c'])
This snippet implements consistent hashing to distribute keys across nodes, a foundational technique in scalable distributed systems.