ngosangns Knowledge Base

#rate-limiting

  • 1M CCU System Optimization
    Summary and best practices for optimizing a system serving 1M+ concurrent users, covering custom trace IDs, async rate limiting with Kafka and Flink, minimal Go architecture, and community Q&A.
  • Scaling A File Storage Backend
    A six-step evolution from a single file-storage server to a scalable backend: shared metadata, load balancing and autoscaling, service boundaries and gateway auth, direct upload with presigned URLs, asynchronous events, and caching, CDN, and rate limiting.