⚡ Performance Optimization - TuskLang for C# - "Speed Unleashed"

Unlock maximum performance for your C# TuskLang projects!

Performance is everything. This guide covers advanced profiling, tuning, caching, async strategies, and real-world optimization scenarios for TuskLang in C# environments.

🚀 Performance Philosophy

"We Don't Bow to Any King"

- Relentless speed - Every millisecond counts - Profiling first - Measure before you optimize - Async everywhere - Embrace async and parallelism - Cache smart - Cache what matters - Tune for production - Optimize for real-world workloads

🔬 Profiling and Diagnostics

C# Profiling Tools

- dotnet-trace: Low-overhead performance tracing - dotnet-counters: Real-time performance metrics - Visual Studio Profiler: Deep code analysis - PerfView: Advanced performance investigation

Example: Profiling a TuskLang Service

// ProfileService.cs
using System.Diagnostics;
public class ProfileService
{
    public void ProfileAction(Action action)
    {
        var stopwatch = Stopwatch.StartNew();
        action();
        stopwatch.Stop();
        Console.WriteLine($"Elapsed: {stopwatch.ElapsedMilliseconds} ms");
    }
}

🧠 Async and Parallelism

Async TuskLang Operations

// AsyncTuskService.cs
public async Task<string> ParseConfigAsync(string filePath)
{
    using var reader = new StreamReader(filePath);
    var content = await reader.ReadToEndAsync();
    return await Task.Run(() => TuskLang.Parse(content));
}

Parallel Processing

// ParallelProcessing.cs
Parallel.ForEach(files, file =>
{
    var config = TuskLang.ParseFile(file);
    // Process config...
});

🗃️ Caching Strategies

In-Memory Caching

// MemoryCacheService.cs
using Microsoft.Extensions.Caching.Memory;
public class MemoryCacheService
{
    private readonly IMemoryCache _cache;
    public MemoryCacheService(IMemoryCache cache) => _cache = cache;
    public T GetOrAdd<T>(string key, Func<T> factory)
    {
        if (!_cache.TryGetValue(key, out T value))
        {
            value = factory();
            _cache.Set(key, value, TimeSpan.FromMinutes(10));
        }
        return value;
    }
}

Distributed Caching (Redis)

// RedisCacheService.cs
using StackExchange.Redis;
public class RedisCacheService
{
    private readonly IDatabase _db;
    public RedisCacheService(IConnectionMultiplexer redis) => _db = redis.GetDatabase();
    public async Task<string> GetOrAddAsync(string key, Func<Task<string>> factory)
    {
        var value = await _db.StringGetAsync(key);
        if (value.IsNullOrEmpty)
        {
            value = await factory();
            await _db.StringSetAsync(key, value, TimeSpan.FromMinutes(10));
        }
        return value;
    }
}

🏎️ TuskLang Performance Features

- @cache operator: Built-in config-level caching - @metrics operator: Real-time performance metrics - FUJSEN: Inline JS for high-speed logic - Type safety: Prevents runtime errors - Hierarchical config: Fast overrides, no env file lookups

Example: TSK Caching

config.tsk
user_count: @cache("5m", @query("SELECT COUNT(*) FROM users"))

🛠️ Real-World Optimization Scenarios

- Large config files: Use async parsing and streaming - High-frequency queries: Use @cache and distributed cache - Heavy computation: Offload to background workers - API integrations: Use async HTTP and batching

🧩 Best Practices

- Profile before optimizing - Use async/await for I/O - Cache expensive operations - Monitor with @metrics - Tune GC and thread pool for high load

🏁 You're Ready!

You can now: - Profile and tune C# TuskLang apps - Use async and parallelism - Implement smart caching - Optimize for real-world workloads

Next: Monitoring and Observability

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"We don't bow to any king" - Your speed, your rules, your performance.

Unleash the full power of TuskLang in C#! ⚡