Scaling Node.js Backends: How to Handle 10,000 Concurrent Requests

As your application grows, backend bottlenecks can lead to slow response times or server downtime. Node.js is single-threaded, requiring special patterns to scale horizontally.

Maximizing Node.js Performance

Optimizing for concurrent traffic requires utilizing all available CPU cores and minimizing heavy database queries.

Key Strategies for High Scale

• Cluster Module: Spawn worker processes to utilize multiple CPU cores.
• Redis Caching: Keep frequently accessed data in memory to avoid slow queries.
• Efficient Database Indexes: Speed up search operations on database tables.

Implementing these caching and clustering patterns enables applications to handle spikes during sales and launches.