Performance Troubleshooting

Documentation in Progress

This documentation is currently being developed based on performance testing and optimization work.

Status: 📝 Documentation in progress, performance testing ongoing
Expected completion: After Issue 002-106 (Cross-Component Integration Layer)

Coming Soon

This page will provide guidance for diagnosing and resolving performance issues, including:

• Communication Speed: Optimizing serial communication throughput
• Execution Latency: Reducing code execution overhead
• Memory Usage: Managing device and host memory efficiently
• Connection Pooling: Optimizing multiple device scenarios
• Caching Strategies: Implementing effective result caching
• Timeout Tuning: Balancing reliability and responsiveness
• Profiling Tools: Built-in performance monitoring and diagnostics

Performance Monitoring Preview

// Example of what's coming - performance monitoring integration
public class PerformanceOptimizedDevice : Device
{
    [Task(Cache = true, TimeoutMs = 1000)]
    public async Task<string> GetDeviceInfoAsync() =>
        await ExecuteAsync<string>("import sys; sys.version");

    [Task(RetryAttempts = 1, TimeoutMs = 5000)] // Fast fail for performance
    public async Task<float> ReadSensorFastAsync() =>
        await ExecuteAsync<float>("sensor.read_fast()");
        
    public async Task<Dictionary<string, object>> GetPerformanceMetricsAsync()
    {
        return new Dictionary<string, object>
        {
            ["ConnectionLatency"] = await MeasureConnectionLatency(),
            ["ExecutionSpeed"] = await MeasureExecutionSpeed(),
            ["ThroughputMbps"] = await MeasureThroughput(),
            ["CacheHitRatio"] = GetCacheHitRatio()
        };
    }
    
    private async Task<TimeSpan> MeasureConnectionLatency()
    {
        var stopwatch = Stopwatch.StartNew();
        await ExecuteAsync("pass"); // Minimal operation
        stopwatch.Stop();
        return stopwatch.Elapsed;
    }
}

Common Performance Issues

Slow Code Execution

• Symptom: High latency for simple operations
• Causes: Inefficient Python code, device overload, serial buffer issues
• Solutions: Code optimization, batch operations, proper timeouts

Connection Timeouts

• Symptom: Frequent timeout exceptions
• Causes: Conservative timeout settings, network issues, device load
• Solutions: Timeout tuning, connection pooling, retry strategies

Memory Exhaustion

• Symptom: Device becomes unresponsive or restarts
• Causes: Large data transfers, memory leaks, insufficient cleanup
• Solutions: Data streaming, explicit cleanup, memory monitoring

Optimization Strategies

Code Execution Optimization

// Inefficient: Multiple round trips
await device.ExecuteAsync("import machine");
await device.ExecuteAsync("pin = machine.Pin(2, machine.Pin.OUT)");
await device.ExecuteAsync("pin.on()");

// Optimized: Single round trip
await device.ExecuteAsync(@"
import machine
pin = machine.Pin(2, machine.Pin.OUT)
pin.on()
");

Caching Results

[Task(Cache = true, TimeoutMs = 30000)] // Cache for 30 seconds
public async Task<string> GetSlowDeviceInfoAsync() =>
    await ExecuteAsync<string>("expensive_device_info_call()");

Batch Operations

public async Task<Dictionary<string, float>> ReadAllSensorsAsync()
{
    // Batch multiple sensor reads in one call
    var result = await ExecuteAsync<string>(@"
import json
sensors = {
    'temperature': temp_sensor.read(),
    'humidity': humidity_sensor.read(), 
    'pressure': pressure_sensor.read()
}
json.dumps(sensors)
");
    return JsonSerializer.Deserialize<Dictionary<string, float>>(result);
}

Performance Benchmarking

// Example benchmarking utilities coming soon
public static class PerformanceBenchmark
{
    public static async Task RunBenchmarkAsync(Device device)
    {
        Console.WriteLine("=== Belay.NET Performance Benchmark ===");
        
        // Test 1: Simple execution latency
        var latency = await MeasureAverageLatency(device, "pass", iterations: 100);
        Console.WriteLine($"Average execution latency: {latency.TotalMilliseconds:F2}ms");
        
        // Test 2: Data transfer throughput
        var throughput = await MeasureDataThroughput(device, dataSize: 1024);
        Console.WriteLine($"Data throughput: {throughput:F2} KB/s");
        
        // Test 3: Concurrent operations
        var concurrentLatency = await MeasureConcurrentLatency(device, concurrency: 5);
        Console.WriteLine($"Concurrent latency (5x): {concurrentLatency.TotalMilliseconds:F2}ms");
    }
    
    private static async Task<TimeSpan> MeasureAverageLatency(Device device, string code, int iterations)
    {
        var stopwatch = Stopwatch.StartNew();
        
        for (int i = 0; i < iterations; i++)
        {
            await device.ExecuteAsync(code);
        }
        
        stopwatch.Stop();
        return TimeSpan.FromMilliseconds(stopwatch.Elapsed.TotalMilliseconds / iterations);
    }
}

Configuration Tuning

Serial Port Settings

// High-performance serial configuration
var device = Device.FromConnectionString("serial:COM3", options =>
{
    options.BaudRate = 921600; // Maximum supported rate
    options.ReadTimeout = 1000; // Aggressive timeout
    options.WriteTimeout = 1000;
    options.ReadBufferSize = 8192; // Large buffer
    options.WriteBufferSize = 8192;
});

Executor Settings

// Performance-tuned attribute settings
[Task(
    TimeoutMs = 2000,        // Fast timeout
    RetryAttempts = 1,       // Single retry only
    Cache = true,            // Enable caching
    CacheDurationMs = 10000  // 10-second cache
)]
public async Task<float> PerformanceOptimizedSensorRead() =>
    await ExecuteAsync<float>("sensor.fast_read()");

Monitoring and Alerting

// Performance monitoring integration (coming soon)
public class DevicePerformanceMonitor
{
    public async Task MonitorPerformanceAsync(Device device)
    {
        while (true)
        {
            var metrics = await CollectMetrics(device);
            
            if (metrics.AverageLatency > TimeSpan.FromSeconds(5))
            {
                // Alert: High latency detected
                OnPerformanceAlert?.Invoke("High latency detected", metrics);
            }
            
            if (metrics.ErrorRate > 0.05) // 5% error rate threshold
            {
                // Alert: High error rate
                OnPerformanceAlert?.Invoke("High error rate detected", metrics);
            }
            
            await Task.Delay(TimeSpan.FromMinutes(1));
        }
    }
}

Related Documentation

• Configuration - Performance-related configuration options
• Session Management - Connection pooling and optimization
• Health Monitoring - Performance monitoring setup
• Connection Troubleshooting - Connection-related performance issues

Need performance help? Share your performance metrics and use case details in our GitHub Discussions for specific optimization guidance.