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Performance Optimization Guide

Overview

This comprehensive guide details the performance optimization strategies implemented for the MkDocs Material site at www.albrittonanalytics.com, including current optimizations, monitoring approaches, and future enhancement opportunities.

1. Current Performance Status

✅ Already Implemented Optimizations

The site includes extensive performance optimizations across multiple layers:

Asset Optimization

  • CSS/JS Bundling & Minification: Netlify automatically bundles and minifies assets
  • Compression: Gzip and Brotli compression enabled (Accept-Encoding: gzip, br)
  • Long-term Caching: Static assets cached for 1 year (Cache-Control: public, max-age=31536000, immutable)
  • Font Optimization: Web fonts (Inter, JetBrains Mono) with display swap

Network & Caching

Performance Maintenance Checklist

Regular performance maintenance tasks to ensure optimal site speed:

Daily

  • Monitor Core Web Vitals metrics
  • Check for build/deploy errors
  • Review performance dashboard alerts

Weekly

  • Run Lighthouse audits on key pages
  • Check page load times and optimization scores
  • Review CDN performance and cache hit rates
  • Update performance budget targets

Monthly

  • Analyze site-wide performance trends
  • Review and update image optimization
  • Audit third-party script performance
  • Update performance monitoring tools

Quarterly

  • Complete performance audit with recommendations
  • Review and update performance standards
  • Plan performance improvement initiatives
  • Update monitoring and alerting thresholds
# Current cache configuration in netlify.toml
[[headers]]
  for = "/assets/*"
  [headers.values]
    Cache-Control = "public, max-age=31536000, immutable"

[[headers]]
  for = "*.html"
  [headers.values]
    Cache-Control = "public, max-age=3600"

Progressive Web App (PWA)

  • Service Worker with intelligent caching strategies
  • Offline support with fallback pages
  • App manifest for installation
  • Strategic precaching of critical resources

Content Delivery

  • Netlify global CDN distribution
  • Edge computing for faster response times
  • HTTP/2 and HTTP/3 support

Security Headers (Performance Impact)

  • HSTS, CSP, and security headers optimized for performance
  • Proper CORS configuration for external resources

2. Performance Metrics & Monitoring

Core Web Vitals Targets

Metric Target Current Strategy
Largest Contentful Paint (LCP) < 2.5s Critical resource preloading, optimized images
First Input Delay (FID) < 100ms JavaScript optimization, service worker
Cumulative Layout Shift (CLS) < 0.1 Font display swap, proper image dimensions

Monitoring Setup

1. Google PageSpeed Insights

# Regular testing URLs
https://pagespeed.web.dev/analysis?url=https://www.albrittonanalytics.com
https://pagespeed.web.dev/analysis?url=https://www.albrittonanalytics.com/getting-started/

2. WebPageTest Configuration

// webpagetest.org configuration
{
  "url": "https://www.albrittonanalytics.com",
  "location": "Dulles:Chrome",
  "connectivity": "Cable",
  "runs": 3,
  "lighthouse": true,
  "video": true
}

3. Real User Monitoring (RUM)

Implement with Google Analytics 4:

// Add to assets/javascripts/performance-monitoring.js
function sendPerformanceMetrics() {
  if ('performance' in window) {
    const perfData = performance.getEntriesByType('navigation')[0];

    gtag('event', 'timing_complete', {
      'name': 'load',
      'value': Math.round(perfData.loadEventEnd - perfData.fetchStart)
    });

    // Core Web Vitals
    new PerformanceObserver((list) => {
      for (const entry of list.getEntries()) {
        if (entry.entryType === 'largest-contentful-paint') {
          gtag('event', 'web_vitals', {
            'metric_name': 'LCP',
            'metric_value': Math.round(entry.startTime),
            'page_path': window.location.pathname
          });
        }
      }
    }).observe({entryTypes: ['largest-contentful-paint']});
  }
}

4. Automated Performance Testing

# .github/workflows/performance.yml
name: Performance Tests
on:
  push:
    branches: [main]
  pull_request:
    branches: [main]

jobs:
  lighthouse:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Lighthouse CI
        uses: treosh/lighthouse-ci-action@v9
        with:
          configPath: './.lighthouserc.json'
          uploadArtifacts: true

3. Asset Optimization Deep Dive

Image Optimization

Current Implementation

  • SVG logos for scalability
  • Multiple icon sizes for PWA (72x72 to 512x512)
  • WebP format support where possible

Enhancement Opportunities

<!-- Implement responsive images -->
<picture>
  <source srcset="screenshot-desktop.webp" media="(min-width: 768px)" type="image/webp">
  <source srcset="screenshot-mobile.webp" media="(max-width: 767px)" type="image/webp">
  <source srcset="screenshot-desktop.png" media="(min-width: 768px)">
  <img src="screenshot-mobile.png" alt="Documentation interface" loading="lazy">
</picture>

Image Processing Pipeline

# scripts/optimize-images.py
from PIL import Image
import os

def optimize_image(input_path, output_path, quality=85):
    """Optimize images for web delivery"""
    with Image.open(input_path) as img:
        # Convert to RGB if necessary
        if img.mode in ('RGBA', 'LA', 'P'):
            img = img.convert('RGB')

        # Optimize and save
        img.save(output_path, 'JPEG', optimize=True, quality=quality)

def generate_webp(input_path, output_path, quality=80):
    """Generate WebP versions"""
    with Image.open(input_path) as img:
        img.save(output_path, 'WebP', optimize=True, quality=quality)

CSS Optimization

Current Strategy

  • Modular CSS architecture with feature-specific files
  • Critical CSS inlined in <head>
  • Non-critical CSS loaded asynchronously

Enhancement: Critical CSS Extraction

# Use critical CSS tool
npm install -g critical

critical src/index.html --base dist/ --inline --minify --dimensions 1300x900 --ignore '@font-face'

JavaScript Optimization

Current Approach

  • Selective loading of external libraries
  • Service worker for caching and offline support
  • Async/defer loading for non-critical scripts

Code Splitting Strategy

// Implement dynamic imports for heavy features
async function loadSearchFeature() {
  const { Search } = await import('./search.js');
  return new Search();
}

// Load MathJax only when needed
if (document.querySelector('.arithmatex')) {
  import('https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js');
}

4. Advanced Caching Strategies

Current Cache Configuration Analysis

# netlify.toml cache hierarchy
Static Assets (1 year):     /assets/*, *.css, *.js, *.png, *.jpg, *.svg, *.woff2
HTML Content (1 hour):      *.html
Dynamic Content (1 hour):   /feed_rss_created.xml, /sitemap.xml
No Cache:                   /sw.js (service worker)

Enhanced Caching Strategy

Cache Segmentation

# Enhanced netlify.toml configuration
[[headers]]
  for = "/assets/stylesheets/*"
  [headers.values]
    Cache-Control = "public, max-age=31536000, immutable"
    Vary = "Accept-Encoding"

[[headers]]
  for = "/assets/javascripts/*"
  [headers.values]
    Cache-Control = "public, max-age=31536000, immutable"
    Vary = "Accept-Encoding"

[[headers]]
  for = "/api/*"
  [headers.values]
    Cache-Control = "public, max-age=300, s-maxage=3600"
    Vary = "Accept-Encoding"

[[headers]]
  for = "/blog/posts/*"
  [headers.values]
    Cache-Control = "public, max-age=1800, s-maxage=3600"
    Vary = "Accept-Encoding"

Service Worker Cache Strategy Enhancement

// Enhanced service-worker.js
const CACHE_STRATEGIES = {
  // Stale-while-revalidate for dynamic content
  staleWhileRevalidate: [
    /^\/blog\//,
    /^\/api\//,
    /\.json$/
  ],

  // Network first with timeout
  networkFirstWithTimeout: [
    /^\/search/,
    /^\/feed/
  ],

  // Cache first with background update
  cacheFirstWithUpdate: [
    /\.css$/,
    /\.js$/,
    /\.woff2?$/,
    /\.(png|jpg|jpeg|gif|svg|ico)$/
  ]
};

Cache Invalidation Strategy

// cache-management.js
class CacheManager {
  static async invalidateCache(pattern) {
    const cacheNames = await caches.keys();
    const deletePromises = cacheNames.map(cacheName => {
      if (cacheName.includes(pattern)) {
        return caches.delete(cacheName);
      }
    });
    return Promise.all(deletePromises);
  }

  static async updateCacheVersion() {
    const newVersion = Date.now();
    const CACHE_NAME = `mkdocs-ultimate-v${newVersion}`;
    // Implementation details...
  }
}

5. CDN & Edge Optimization

Netlify CDN Leveraging

Current Benefits

  • 290+ global edge locations
  • Automatic SSL/TLS with HTTP/2
  • Smart request routing
  • Edge-side includes (ESI) support

Enhancement Opportunities

Edge Functions
// netlify/edge-functions/optimize.js
export default async (request, context) => {
  const response = await context.next();

  // Add performance headers
  response.headers.set('Server-Timing', 'edge;dur=1');
  response.headers.set('X-Edge-Location', context.geo.city);

  // Optimize based on device type
  const userAgent = request.headers.get('user-agent');
  if (userAgent.includes('Mobile')) {
    response.headers.set('X-Optimized', 'mobile');
  }

  return response;
};
Geographic Optimization
# netlify.toml
[[edge_functions]]
  function = "optimize"
  path = "/*"

[[headers]]
  for = "/*"
  [headers.values]
    # Add geographic optimization hints
    X-Geo-Country = "%{geo_country_code}"
    X-Edge-City = "%{geo_city}"

6. Core Web Vitals Optimization

Largest Contentful Paint (LCP) Optimization

Current Measures

<!-- Critical resource preloading -->
<link rel="preload" href="/assets/stylesheets/theme-colors.css" as="style">
<link rel="preload" href="/assets/javascripts/mathjax.js" as="script">

Enhanced LCP Strategy

<!-- Hero image optimization -->
<link rel="preload" as="image" href="/assets/images/hero.webp"
      media="(min-width: 768px)">
<link rel="preload" as="image" href="/assets/images/hero-mobile.webp"
      media="(max-width: 767px)">

<!-- Critical font preloading -->
<link rel="preload" href="/assets/fonts/inter-var.woff2" as="font"
      type="font/woff2" crossorigin>

First Input Delay (FID) Optimization

JavaScript Execution Optimization

// Use requestIdleCallback for non-critical tasks
function performNonCriticalTask() {
  if ('requestIdleCallback' in window) {
    requestIdleCallback(() => {
      // Initialize analytics, search indexing, etc.
      initializeAnalytics();
      buildSearchIndex();
    }, { timeout: 5000 });
  } else {
    setTimeout(performNonCriticalTask, 100);
  }
}

Code Splitting Implementation

// Dynamic imports for feature modules
const features = {
  search: () => import('./modules/search.js'),
  analytics: () => import('./modules/analytics.js'),
  notebook: () => import('./modules/notebook-handler.js')
};

async function loadFeature(featureName) {
  if (!features[featureName]) return null;

  try {
    const module = await features[featureName]();
    return module.default;
  } catch (error) {
    console.error(`Failed to load ${featureName}:`, error);
    return null;
  }
}

Cumulative Layout Shift (CLS) Optimization

Layout Stability Measures

/* Prevent layout shifts from web fonts */
@font-face {
  font-family: 'Inter';
  font-display: swap;
  src: url('/assets/fonts/inter-var.woff2') format('woff2-variations');
}

/* Reserve space for images */
.responsive-image {
  aspect-ratio: 16 / 9;
  width: 100%;
  height: auto;
}

/* Skeleton screens for dynamic content */
.skeleton {
  background: linear-gradient(90deg, #f0f0f0 25%, #e0e0e0 50%, #f0f0f0 75%);
  background-size: 200% 100%;
  animation: loading 1.5s infinite;
}

7. Performance Monitoring Setup

Continuous Monitoring Pipeline

Lighthouse CI Configuration

// .lighthouserc.json
{
  "ci": {
    "collect": {
      "staticDistDir": "./site",
      "url": [
        "http://localhost/",
        "http://localhost/getting-started/",
        "http://localhost/features/",
        "http://localhost/blog/"
      ]
    },
    "assert": {
      "assertions": {
        "categories:performance": ["error", {"minScore": 0.9}],
        "categories:accessibility": ["error", {"minScore": 0.9}],
        "categories:best-practices": ["error", {"minScore": 0.9}],
        "categories:seo": ["error", {"minScore": 0.9}]
      }
    },
    "upload": {
      "target": "temporary-public-storage"
    }
  }
}

Performance Budget Configuration

// performance-budget.json
{
  "budget": [
    {
      "path": "/*",
      "timings": [
        {"metric": "first-contentful-paint", "budget": 2000},
        {"metric": "largest-contentful-paint", "budget": 2500},
        {"metric": "interactive", "budget": 3000}
      ],
      "resourceSizes": [
        {"resourceType": "script", "budget": 150},
        {"resourceType": "stylesheet", "budget": 50},
        {"resourceType": "image", "budget": 200},
        {"resourceType": "total", "budget": 500}
      ]
    }
  ]
}

Real User Monitoring Implementation

// assets/javascripts/rum-monitoring.js
class PerformanceMonitor {
  constructor() {
    this.metrics = {};
    this.setupObservers();
  }

  setupObservers() {
    // Web Vitals monitoring
    this.observeWebVitals();

    // Resource loading monitoring
    this.observeResourceTiming();

    // User interaction monitoring
    this.observeUserInteractions();
  }

  observeWebVitals() {
    // LCP Observer
    new PerformanceObserver((list) => {
      const entries = list.getEntries();
      const lastEntry = entries[entries.length - 1];
      this.recordMetric('LCP', lastEntry.startTime);
    }).observe({entryTypes: ['largest-contentful-paint']});

    // FID Observer
    new PerformanceObserver((list) => {
      for (const entry of list.getEntries()) {
        this.recordMetric('FID', entry.processingStart - entry.startTime);
      }
    }).observe({entryTypes: ['first-input']});

    // CLS Observer
    let clsValue = 0;
    new PerformanceObserver((list) => {
      for (const entry of list.getEntries()) {
        if (!entry.hadRecentInput) {
          clsValue += entry.value;
        }
      }
      this.recordMetric('CLS', clsValue);
    }).observe({entryTypes: ['layout-shift']});
  }

  recordMetric(name, value) {
    this.metrics[name] = value;

    // Send to analytics
    if (typeof gtag !== 'undefined') {
      gtag('event', 'web_vitals', {
        metric_name: name,
        metric_value: Math.round(value),
        page_path: window.location.pathname
      });
    }
  }
}

// Initialize monitoring
if (document.readyState === 'loading') {
  document.addEventListener('DOMContentLoaded', () => {
    new PerformanceMonitor();
  });
} else {
  new PerformanceMonitor();
}

8. Advanced Performance Optimizations

Resource Hints Strategy

<!-- DNS prefetching for external resources -->
<link rel="dns-prefetch" href="//fonts.googleapis.com">
<link rel="dns-prefetch" href="//cdn.jsdelivr.net">
<link rel="dns-prefetch" href="//www.googletagmanager.com">

<!-- Preconnect to critical third-party origins -->
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>

<!-- Module preloading for modern browsers -->
<link rel="modulepreload" href="/assets/javascripts/app.js">

<!-- Prefetch likely next pages -->
<link rel="prefetch" href="/getting-started/">
<link rel="prefetch" href="/features/">

Critical Resource Loading

// Critical resource loader
class CriticalResourceLoader {
  static async loadCriticalResources() {
    const criticalResources = [
      '/assets/stylesheets/theme-colors.css',
      '/assets/javascripts/theme-enhancements.js'
    ];

    const loadPromises = criticalResources.map(resource => {
      return new Promise((resolve, reject) => {
        const link = document.createElement('link');
        link.rel = 'preload';
        link.as = resource.endsWith('.css') ? 'style' : 'script';
        link.href = resource;
        link.onload = resolve;
        link.onerror = reject;
        document.head.appendChild(link);
      });
    });

    return Promise.all(loadPromises);
  }
}

Intersection Observer for Lazy Loading

// Enhanced lazy loading
class LazyLoader {
  constructor() {
    this.imageObserver = new IntersectionObserver(
      this.handleImageIntersection.bind(this),
      {
        rootMargin: '50px 0px',
        threshold: 0.01
      }
    );

    this.initializeLazyLoading();
  }

  initializeLazyLoading() {
    // Lazy load images
    document.querySelectorAll('img[data-src]').forEach(img => {
      this.imageObserver.observe(img);
    });

    // Lazy load iframes
    document.querySelectorAll('iframe[data-src]').forEach(iframe => {
      this.imageObserver.observe(iframe);
    });
  }

  handleImageIntersection(entries) {
    entries.forEach(entry => {
      if (entry.isIntersecting) {
        const element = entry.target;
        element.src = element.dataset.src;
        element.classList.remove('lazy');
        this.imageObserver.unobserve(element);
      }
    });
  }
}

9. Performance Budget & Monitoring

Performance Budget Enforcement

// build-performance-check.js
const fs = require('fs');
const path = require('path');

class PerformanceBudget {
  constructor() {
    this.budgets = {
      maxBundleSize: 250 * 1024, // 250KB
      maxImageSize: 100 * 1024,  // 100KB
      maxCSSSize: 50 * 1024,     // 50KB
      maxJSSize: 150 * 1024      // 150KB
    };
  }

  checkBudgets(buildDir) {
    const results = {
      passed: true,
      violations: []
    };

    // Check asset sizes
    this.checkAssetSizes(buildDir, results);

    // Check total bundle size
    this.checkTotalSize(buildDir, results);

    return results;
  }

  checkAssetSizes(buildDir, results) {
    const assetsDir = path.join(buildDir, 'assets');

    if (!fs.existsSync(assetsDir)) return;

    const files = fs.readdirSync(assetsDir, { recursive: true });

    files.forEach(file => {
      const filePath = path.join(assetsDir, file);
      const stats = fs.statSync(filePath);

      if (stats.isFile()) {
        const ext = path.extname(file);
        const size = stats.size;

        let budget;
        if (['.jpg', '.png', '.gif', '.webp'].includes(ext)) {
          budget = this.budgets.maxImageSize;
        } else if (ext === '.css') {
          budget = this.budgets.maxCSSSize;
        } else if (ext === '.js') {
          budget = this.budgets.maxJSSize;
        }

        if (budget && size > budget) {
          results.passed = false;
          results.violations.push({
            file,
            size,
            budget,
            type: 'size'
          });
        }
      }
    });
  }
}

module.exports = PerformanceBudget;

Automated Performance Testing

# .github/workflows/performance-testing.yml
name: Performance Testing

on:
  push:
    branches: [main]
  pull_request:
    branches: [main]

jobs:
  lighthouse:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout
        uses: actions/checkout@v3

      - name: Setup Node.js
        uses: actions/setup-node@v3
        with:
          node-version: '18'

      - name: Install dependencies
        run: |
          npm install -g @lhci/cli
          pip install -r requirements.txt

      - name: Build site
        run: mkdocs build

      - name: Run Lighthouse CI
        run: lhci autorun
        env:
          LHCI_GITHUB_APP_TOKEN: ${{ secrets.LHCI_GITHUB_APP_TOKEN }}

      - name: Check Performance Budget
        run: node scripts/check-performance-budget.js

  webpagetest:
    runs-on: ubuntu-latest
    if: github.event_name == 'push' && github.ref == 'refs/heads/main'
    steps:
      - name: WebPageTest
        uses: WPO-Foundation/webpagetest-github-action@v1
        with:
          apiKey: ${{ secrets.WPT_API_KEY }}
          urls: |
            https://www.albrittonanalytics.com
            https://www.albrittonanalytics.com/getting-started/
          settings: |
            {
              "location": "Dulles:Chrome",
              "connectivity": "Cable",
              "runs": 3,
              "lighthouse": true
            }

10. Troubleshooting Performance Issues

Common Performance Problems & Solutions

Slow Time to First Byte (TTFB)

# Diagnose TTFB issues
curl -w "@curl-format.txt" -o /dev/null -s "https://www.albrittonanalytics.com"

# curl-format.txt content:
#      time_namelookup:  %{time_namelookup}\n
#         time_connect:  %{time_connect}\n
#      time_appconnect:  %{time_appconnect}\n
#     time_pretransfer:  %{time_pretransfer}\n
#        time_redirect:  %{time_redirect}\n
#   time_starttransfer:  %{time_starttransfer}\n
#                      ----------\n
#           time_total:  %{time_total}\n

Large JavaScript Bundles

// Bundle analysis with webpack-bundle-analyzer
npm install --save-dev webpack-bundle-analyzer

// Add to build process
const BundleAnalyzerPlugin = require('webpack-bundle-analyzer').BundleAnalyzerPlugin;

module.exports = {
  plugins: [
    new BundleAnalyzerPlugin({
      analyzerMode: 'static',
      reportFilename: 'bundle-report.html'
    })
  ]
};

Render-Blocking Resources

<!-- Move non-critical CSS to load asynchronously -->
<link rel="preload" href="/assets/stylesheets/non-critical.css" as="style" onload="this.onload=null;this.rel='stylesheet'">
<noscript><link rel="stylesheet" href="/assets/stylesheets/non-critical.css"></noscript>

<!-- Defer non-critical JavaScript -->
<script src="/assets/javascripts/analytics.js" defer></script>
<script src="/assets/javascripts/features.js" defer></script>

Performance Debugging Tools

Custom Performance Profiler

// assets/javascripts/performance-profiler.js
class PerformanceProfiler {
  constructor() {
    this.marks = new Map();
    this.measures = new Map();
  }

  mark(name) {
    const timestamp = performance.now();
    this.marks.set(name, timestamp);
    performance.mark(name);
    console.log(`🏁 Mark: ${name} at ${timestamp.toFixed(2)}ms`);
  }

  measure(name, startMark, endMark = null) {
    if (endMark === null) {
      endMark = `${name}-end`;
      this.mark(endMark);
    }

    const duration = this.marks.get(endMark) - this.marks.get(startMark);
    this.measures.set(name, duration);
    performance.measure(name, startMark, endMark);

    console.log(`📏 Measure: ${name} took ${duration.toFixed(2)}ms`);
    return duration;
  }

  getReport() {
    const report = {
      marks: Object.fromEntries(this.marks),
      measures: Object.fromEntries(this.measures),
      navigation: performance.getEntriesByType('navigation')[0],
      resources: performance.getEntriesByType('resource')
    };

    console.table(this.measures);
    return report;
  }
}

// Usage throughout the application
const profiler = new PerformanceProfiler();
profiler.mark('app-start');
// ... application code ...
profiler.mark('app-ready');
profiler.measure('app-initialization', 'app-start', 'app-ready');

11. Future Performance Enhancements

Planned Optimizations

HTTP/3 and QUIC Protocol

  • Monitor Netlify's HTTP/3 rollout
  • Test performance improvements with new protocol
  • Update service worker for HTTP/3 compatibility

Advanced Image Optimization

// Implement AVIF format support
function createPictureElement(imageSrc, alt) {
  return `
    <picture>
      <source srcset="${imageSrc}.avif" type="image/avif">
      <source srcset="${imageSrc}.webp" type="image/webp">
      <img src="${imageSrc}.jpg" alt="${alt}" loading="lazy">
    </picture>
  `;
}

Machine Learning for Predictive Preloading

// ML-based resource prediction
class PredictiveLoader {
  constructor() {
    this.userBehavior = JSON.parse(localStorage.getItem('userBehavior') || '{}');
    this.setupTracking();
  }

  trackNavigation(page) {
    if (!this.userBehavior[page]) {
      this.userBehavior[page] = { visits: 0, nextPages: {} };
    }
    this.userBehavior[page].visits++;

    // Track subsequent navigation
    if (this.lastPage) {
      if (!this.userBehavior[this.lastPage].nextPages[page]) {
        this.userBehavior[this.lastPage].nextPages[page] = 0;
      }
      this.userBehavior[this.lastPage].nextPages[page]++;
    }

    this.lastPage = page;
    localStorage.setItem('userBehavior', JSON.stringify(this.userBehavior));
  }

  predictNextPages(currentPage) {
    const pageData = this.userBehavior[currentPage];
    if (!pageData) return [];

    return Object.entries(pageData.nextPages)
      .sort(([,a], [,b]) => b - a)
      .slice(0, 3)
      .map(([page]) => page);
  }

  preloadPredictedPages() {
    const currentPage = window.location.pathname;
    const predictions = this.predictNextPages(currentPage);

    predictions.forEach(page => {
      const link = document.createElement('link');
      link.rel = 'prefetch';
      link.href = page;
      document.head.appendChild(link);
    });
  }
}

12. Performance Maintenance Checklist

Weekly Performance Review

  • Core Web Vitals Check
  • Run PageSpeed Insights on key pages
  • Monitor RUM data in Google Analytics

  • Review Lighthouse CI reports

  • Asset Audit

  • Check for oversized images (>100KB)
  • Verify CSS/JS bundle sizes

  • Review unused dependencies

  • Cache Performance

  • Analyze cache hit rates
  • Review service worker performance
  • Check CDN analytics

Monthly Deep Dive

  • Comprehensive Testing
  • Full WebPageTest analysis
  • Cross-device performance testing

  • Network throttling tests

  • Performance Budget Review

  • Update budget thresholds
  • Review violations and trends

  • Plan optimization priorities

  • Third-party Impact

  • Audit external script performance
  • Review analytics impact
  • Optimize font loading

Quarterly Strategic Review

  • Technology Updates
  • Review new web standards
  • Evaluate performance tools

  • Plan infrastructure upgrades

  • Benchmark Analysis

  • Compare against competitors
  • Industry performance standards
  • User experience metrics

Conclusion

This optimization guide provides a comprehensive framework for maintaining and improving the performance of the MkDocs Material site. The current implementation already includes many best practices, but continuous monitoring and optimization ensure optimal user experience as the site evolves.

Key success metrics: - LCP < 2.5s: Achieved through asset optimization and CDN - FID < 100ms: Maintained via JavaScript optimization - CLS < 0.1: Ensured through layout stability measures

Regular monitoring and adherence to performance budgets will maintain these high standards while supporting future growth and feature additions.