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Performance Optimization Guidelines

Overview

This document outlines the strategies and best practices implemented to ensure optimal performance of the frontend application.

Caching Strategies

  • HTTP Caching: Utilize Cache-Control headers to leverage browser caching.
  • Service Workers: Implement service workers using Workbox to handle offline capabilities and cache assets effectively.
  • Server-Side Caching: Use Redis for server-side caching of frequently accessed data to reduce database load.

Code Optimization

  • Tree Shaking: Remove unused code during the build process to reduce bundle size.
  • Minification: Minify JavaScript and CSS files to decrease load times.
  • Minimize CSS: Utilize CSS modules or Tailwind CSS to reduce CSS redundancy.
  • Lazy Loading: Load components and modules only when needed to enhance initial load performance.
  • Bundle Analysis: Regularly analyze bundle sizes using tools like Webpack Bundle Analyzer to identify and eliminate redundancies.
  • Vanilla JavaScript: Use vanilla JavaScript for reusable components to minimize dependencies and improve load times.

Asset Management

  • Image Optimization: Compress and serve images in modern formats like WebP.
  • Font Optimization: Use font-display strategies to ensure text remains visible during webfont loading.
  • Lazy Loading Assets: Implement lazy loading for images and videos to improve initial load performance.

Database Optimization

  • Query Optimization: Ensure database queries are efficient and properly indexed.
  • Caching Data: Implement server-side caching with Redis for frequently accessed data.
  • Connection Pooling: Utilize connection pooling to manage database connections efficiently.

Monitoring and Profiling

  • Real-Time Monitoring: Integrate tools like Google Analytics and Sentry for performance monitoring and error tracking.
  • Performance Profiling: Regularly profile the application using browser developer tools to identify and address bottlenecks.
  • Continuous Profiling: Use tools like Webpack Bundle Analyzer to continuously monitor bundle sizes.
  • Automated Performance Testing: Integrate Lighthouse audits into the CI pipeline to monitor performance regressions.

Code Review Practices

  • Performance Checks: Include performance reviews in the code review process to catch potential inefficiencies early.
  • Automated Testing: Implement automated tests that include performance benchmarks.
  • Peer Reviews: Encourage peer reviews focusing on optimization and efficient coding practices.

Continuous Improvement

  • Regular Audits: Conduct periodic performance audits to ensure the application remains optimized.
  • Stay Updated: Keep up with the latest best practices and update the codebase accordingly.
  • Refactoring: Regularly refactor code to improve efficiency and maintainability.
  • User Feedback: Incorporate user feedback to identify and address performance issues.

References