Performance Tuning

🚧 Under Construction: This section is being developed. Check back later for detailed performance optimization guidelines.

This page will cover performance optimization techniques for helix.

Coming Soon

This section will include:

• Benchmarking - How to measure and benchmark your code
• Memory Optimization - Reducing memory allocations and garbage collection pressure
• Concurrency - Effective use of goroutines and channels
• Profiling - Using Go's profiling tools to identify bottlenecks
• Caching Strategies - When and how to implement caching
• Resource Pooling - Reusing expensive resources
• Algorithm Selection - Choosing the right algorithms for your use case

Performance Best Practices

While we develop this section, here are some general tips:

1. Profile Before Optimizing - Always measure before making changes
2. Focus on Hot Paths - Optimize the code that runs most frequently
3. Benchmark Regularly - Track performance over time
4. Consider Trade-offs - Balance performance with code maintainability

Benchmarking Basics

Use Go's built-in benchmarking:

go test -bench=. -benchmem

Resources

• Go Performance Best Practices
• Go Blog: Profiling Go Programs
• Effective Go

Contributing

If you have performance tips or optimizations to share, please contribute to this documentation via pull request.

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