What performance optimizations does SSLcat have?

SSLcat is developed based on Go language, making full use of Go's concurrency features and modern network programming technologies to achieve high-performance SSL forwarding services.

Go Goroutine Concurrent Processing

Go goroutines are the core of SSLcat's high performance:

• Lightweight threads - Each connection uses a separate goroutine for processing
• High concurrency support - Supports tens of thousands of concurrent connections
• Memory efficiency - Minimal memory usage per goroutine (2KB initial stack)
• Scheduling optimization - Go runtime automatically optimizes goroutine scheduling

Memory Caching Optimization

SSLcat uses multi-layer memory caching to improve performance:

• Certificate caching - Caches SSL certificates in memory
• Configuration caching - Caches forwarding configuration and routing rules
• DNS caching - Caches domain name resolution results
• Connection pool caching - Caches backend connection pool status

Connection Reuse Technology

Intelligent connection pool management reduces connection overhead:

• HTTP/2 multiplexing - Single connection handles multiple requests
• Keep-Alive connections - Maintain long connections to reduce handshake overhead
• Connection pool management - Intelligent management of backend connection pools
• Idle connection recycling - Automatic recycling of idle connections to free resources

Asynchronous I/O Processing

Non-blocking I/O operations improve response speed:

• epoll/kqueue - Uses system-level event-driven I/O
• Non-blocking read/write - Prevents I/O operations from blocking goroutines
• Event loop - Efficient event loop for handling network events
• Zero-copy technology - Reduces data copying to improve performance

HTTP/3 and QUIC Optimization

Performance advantages of the latest protocols:

• 0-RTT connections - Supports 0-RTT connection resumption
• Multiplexing - Avoids head-of-line blocking issues
• Congestion control - More intelligent traffic control algorithms
• Connection migration - Supports connection persistence during network switches

TLS Performance Optimization

Performance optimization for TLS handshake and encryption:

• Session reuse - TLS session caching reduces handshake time
• Hardware acceleration - Utilizes CPU hardware acceleration for encryption
• Certificate chain optimization - Optimizes certificate chain validation process
• OCSP caching - Caches OCSP responses to reduce queries

Memory Management Optimization

Efficient memory usage and garbage collection:

• Object pooling - Reuses objects to reduce GC pressure
• Memory pre-allocation - Pre-allocates memory to reduce dynamic allocation
• GC optimization - Optimizes garbage collection strategies
• Memory monitoring - Real-time monitoring of memory usage

Network Optimization

Network-level performance optimization:

• TCP optimization - Optimizes TCP parameters and buffers
• UDP optimization - Optimizes QUIC's UDP transmission
• Congestion control - Intelligent congestion control algorithms
• Network monitoring - Real-time monitoring of network performance metrics

Configuration Optimization Recommendations

Optimize performance through configuration:

# Performance optimization configuration
performance:
  # Goroutine configuration
  goroutines:
    max_goroutines: 10000
    stack_size: 2048

  # Connection pool configuration
  connection_pool:
    max_connections: 1000
    max_idle_connections: 100
    idle_timeout: 90

  # Cache configuration
  cache:
    certificate_cache_size: 1000
    dns_cache_ttl: 300
    config_cache_ttl: 60

  # Memory configuration
  memory:
    gc_percent: 100
    max_memory: "1GB"

Monitoring and Tuning

SSLcat provides detailed performance monitoring:

• Goroutine statistics - Shows current goroutine count and status
• Memory usage - Real-time memory usage status
• Connection statistics - Connection count and status statistics
• Response time - Request response time distribution
• Throughput - Number of requests processed per second

Benchmark Results

SSLcat's performance benchmark results:

• Concurrent connections - Supports 10,000+ concurrent connections
• Request processing - Processes 50,000+ requests per second
• Memory usage - Memory usage per connection < 10KB
• CPU usage - CPU usage under high load < 80%

System-Level Optimization

System-level optimization recommendations:

• File descriptors - Increase system file descriptor limits
• Network buffers - Optimize network buffer sizes
• CPU affinity - Bind processes to specific CPU cores
• Huge pages - Enable huge page memory support

Best Practices

Best practices for performance optimization:

• Monitor metrics - Continuously monitor key performance indicators
• Load testing - Conduct regular load testing
• Configuration tuning - Adjust configuration based on actual load
• Resource planning - Properly plan system resources
• Version updates - Keep up to date with the latest versions

With these performance optimization technologies, SSLcat can maintain excellent performance in high-concurrency scenarios.