Reducing latency in distributed systems is crucial for performance optimization. Here are the 12 golden rules to achieve low latency:
- Minimize Network Hops – Reduce the number of intermediaries between client and server.
- Use Caching Strategically – Implement in-memory caches like Redis or Memcached.
- Optimize Serialization Formats – Prefer Protocol Buffers (Protobuf) over JSON for faster serialization.
- Leverage Asynchronous Processing – Use message queues (Kafka, RabbitMQ) to decouple services.
- Batch Requests – Combine multiple operations into a single network call.
- Enable Compression – Use gzip or Brotli for HTTP responses.
- Choose Efficient Data Structures – Optimize data access patterns (e.g., hash maps for O(1) lookups).
- Prioritize Data Locality – Keep data close to compute (e.g., edge computing).
- Use Connection Pooling – Reuse database/API connections to avoid handshake overhead.
- Implement Load Balancing – Distribute traffic evenly across servers.
- Monitor & Optimize Database Queries – Use indexing, query optimization, and NoSQL where applicable.
- Adopt HTTP/2 or HTTP/3 – Reduce latency with multiplexed connections.
You Should Know:
Practical Commands & Code Examples
1. Measuring Latency with `ping` & `curl`
ping example.com Check network latency
curl -o /dev/null -s -w "%{time_total}\n" https://example.com Measure HTTP request time
2. Redis Caching (Python Example)
import redis
r = redis.Redis(host='localhost', port=6379)
r.set('key', 'value', ex=3600) Cache for 1 hour
print(r.get('key'))
3. gRPC for Low-Latency Communication (Protobuf Example)
syntax = "proto3";
service Greeter {
rpc SayHello (HelloRequest) returns (HelloReply);
}
message HelloRequest { string name = 1; }
message HelloReply { string message = 2; }
4. HTTP/2 Server Push (Nginx Config)
server {
listen 443 ssl http2;
ssl_certificate /path/to/cert.pem;
ssl_certificate_key /path/to/key.pem;
http2_push /static/style.css;
}
5. Load Balancing with HAProxy
frontend http-in bind :80 default_backend servers backend servers server server1 192.168.1.1:80 check server server2 192.168.1.2:80 check
What Undercode Say
Achieving low latency requires a mix of architectural decisions and fine-tuning. Key takeaways:
– Network Optimization: Reduce hops, use UDP for real-time systems (e.g., Aeron).
– Database Tuning: `EXPLAIN ANALYZE` in PostgreSQL, indexing in MongoDB.
– Protocol Choices: gRPC > REST, HTTP/3 > HTTP/1.1.
– OS-Level Tweaks: Adjust TCP stack settings (sysctl -w net.ipv4.tcp_tw_reuse=1).
Prediction
Future systems will increasingly rely on quantum networking and edge AI to push latency below 1ms.
Expected Output:
A high-performance distributed system with sub-50ms response times, leveraging caching, efficient protocols, and optimized queries.
Relevant URL: System Design Template
References:
Reported By: Nk Systemdesign – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
