mnnx

Performance Optimization

Improve application performance and efficiency with mnnx's industry-leading optimization tools and best practices.

1. Introduction

In 2025, performance optimization remains a critical factor for enterprise applications. This guide provides comprehensive strategies for maximizing speed and efficiency using the mnnx platform.

2. Optimization Tools

Performance Analyzer

mnnx analyze --tool=performance

Profile your applications with detailed metrics on memory usage, CPU utilization, and latency patterns.

Code Optimizer

@mnnx/optimizer

Automated code restructuring for performance improvements with safety-first rewriting strategies.

3. Optimization Techniques

Code Profiling

  • Use built-in tracing to identify performance bottlenecks
  • Enable memory leak detection for long-running services
  • Monitor garbage collection patterns in real-time

Resource Management

  • Optimize database queries with execution plan analysis
  • Implement caching strategies for frequent operations
  • Use connection pooling for resource-intensive services

4. Performance Monitoring

Continuous monitoring is essential for maintaining optimal performance. Use these tools and dashboards:

GET /mnnx/performance/metrics Headers: Authorization: Bearer YOUR_TOKEN

Access real-time metrics for application health and performance trending analysis.

Best Practice: Preemptive Optimization

Use mnnx's predictive analytics to identify potential performance issues before they impact user experience.