Go-RUSH High-Performance Server

High-Performance Web Server

Go Fiber Redis Docker

Performance Benchmarks

10k+
Concurrent Connections
<3ms p95
Average Response Time

Optimized for high-throughput scenarios with minimal resource usage on modest server hardware.

  • Caching layer: Redis client with pool tuning (idle=4, size=40), pipelined writes, TTLs (items=10m, item=1h), DB fallback on miss.
  • Data store: PostgreSQL via GORM; UUIDs enabled with uuid-ossp; automigrations for Item/User/Token; pool (maxOpen=100, maxIdle=10).
  • Auth: JWT (HS256, 72h expiry) + bcrypt; tokens persisted for active sessions; endpoints to list/clear sessions.
  • API surface: RESTful routes for /items (CRUD), /users (CRUD), /login, /users/logout; consistent JSON responses.
  • Runtime: Docker Compose with Air hot‑reload; tuned sysctls (somaxconn=4069, widened ip_local_port_range) and higher nofile ulimit.
  • Redis policy: allkeys-lru with maxmemory 100MB to keep latency under load.

Project Information

  • Category: Backend & Infrastructure
  • Tech Stack: Go, Fiber, Redis, Docker
  • Project Date: 2023
  • Repository: GitHub
  • Status: Open Source, Benchmarking Tool

⚡ Ultra-Fast Go Web Server for High-Performance Applications

• Performance Engineering: Designed and implemented a high-performance web server in Go capable of handling 10,000+ concurrent connections with sub-millisecond response times on modest hardware configurations.

• Benchmarking Focus: Purpose-built for performance analysis and benchmarking scenarios, demonstrating expertise in low-level optimization, memory management, and concurrent programming patterns in Go.

• Production Architecture: Implemented with Go Fiber framework for optimal performance, Redis integration for caching strategies, and comprehensive Docker containerization for seamless deployment across environments.

• Scalability Design: Architected with horizontal scaling in mind, featuring configurable connection pooling, efficient memory allocation, and production-grade error handling and recovery mechanisms.

• Development Tooling: Integrated with Air for hot-reload development, comprehensive logging for debugging, and Docker Compose for local development environment setup.

Technical Excellence: Demonstrates deep understanding of Go's concurrency model, systems programming, and backend performance optimization - essential skills for building enterprise-grade infrastructure.