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Performance

Track performance metrics, optimization discoveries, and site speed insights.

Date: 2025-08-28

Metrics (as of implementation):

  • Full build time: ~2.6 seconds
  • Incremental builds: Near-instant with hot reloading
  • Production build: Includes static generation + image optimization + search indexing
  • TypeScript checking: ~1 second of build time

Build output size:

dist/_astro/ec.v4551.css 18.22 kB │ gzip: 3.96 kB
dist/_astro/ui-core.Ft0Z9wO7.js 68.07 kB │ gzip: 21.71 kB

Analysis: Very efficient for current content volume Tracking: Monitor build time as content grows

Date: 2025-08-28

Page Load Metrics (localhost testing):

  • Initial page load: ~200ms (local dev server)
  • Navigation: Instant (client-side routing)
  • Search: Near-instant with Pagefind index

Cloudflare Pages Performance:

  • Cold start: ~300-500ms (first visit)
  • Cached response: ~50-100ms (subsequent visits)
  • Global edge distribution: Automatic via Cloudflare CDN

Optimization Status: Excellent baseline performance

Date: 2025-08-28

Implementation: Using Astro’s built-in image optimization with Sharp

houston.CZZyCf7p_Z2wV2f.webp (reused cache entry)

Benefits:

  • Automatic WebP conversion for modern browsers
  • Responsive image generation
  • Build-time optimization with caching
  • Lazy loading by default

Impact: Reduced image payload size, improved loading times

Date: 2025-08-28

Observation: Astro automatically optimizes asset bundling

  • CSS is extracted and minimized
  • JavaScript is chunked and tree-shaken
  • Assets are hashed for cache busting
  • Gzip compression is highly effective (21.71kB → 68.07kB)

Configuration: No manual optimization needed - works out of the box

Date: 2025-08-28

Implementation: Pagefind integration provides efficient full-text search

Indexed 5 pages
Indexed 413 words
Finished in 0.027 seconds

Performance characteristics:

  • Index generation: Very fast (27ms for current content)
  • Search latency: Near-instant client-side search
  • Index size: Scales linearly with content
  • No server-side processing required

Date: 2025-08-28

Build Time Monitoring:

  • Track build duration in CI pipeline
  • Alert on significant increases (>50% regression)
  • Monitor bundle size changes in PRs
  • Track dependency impact on build performance

Implementation idea:

# GitHub Actions step
- name: Performance Check
run: |
BUILD_TIME=$(time npm run build 2>&1 | grep real | awk '{print $2}')
echo "Build time: $BUILD_TIME"
# Compare with baseline and alert if regression

Status: Idea phase - could be valuable for preventing performance regressions

Date: 2025-08-28

Cloudflare Analytics Integration:

  • Core Web Vitals tracking
  • Page load distribution analysis
  • Geographic performance variations
  • Search usage patterns

Potential Implementation:

  • Enable Cloudflare Web Analytics
  • Set up performance budgets
  • Create performance dashboard
  • Monitor search effectiveness metrics

Value: Data-driven performance optimization decisions

Date: 2025-08-28

Problem: Initial deployment showed unstyled content Root Cause: Asset path configuration mismatch between local and Cloudflare Pages Solution: Removed base path configuration, updated site URL Prevention: Always test deployment configuration with production builds

Learning: Asset path issues are common in static site deployment Documentation: Added to troubleshooting guide for future reference

Date: 2025-08-28

Observation: Astro maintains build cache in node_modules/.astro/ Benefits: Faster incremental builds, reduced processing time Management: Cache is automatically managed, persists across builds

Best Practice: Include .astro/ in .gitignore but preserve in CI cache CI Integration: GitHub Actions automatically caches node_modules including Astro cache

Date: 2025-08-28

Anticipated Issues:

  • Search index size growth with content expansion
  • Image processing time for large asset collections
  • Build time increases with documentation volume
  • CDN cache invalidation complexity

Proactive Solutions:

  • Monitor content-to-performance ratios
  • Implement image optimization workflows
  • Consider build parallelization for large sites
  • Plan CDN cache strategy for frequent updates

Date: 2025-08-28

Potential Enhancements:

  • Service worker implementation for offline access
  • Critical CSS inlining for above-the-fold content
  • Preloading strategies for common navigation paths
  • Progressive enhancement for interactive features

Evaluation Criteria: Implement only when measurable performance need exists Philosophy: Optimize based on data, not assumptions


  1. Baseline establishment: Document current metrics before changes
  2. Controlled testing: Use consistent testing environment and conditions
  3. Multiple measurements: Average results across multiple test runs
  4. Real-world validation: Test with actual deployment environment
  5. Documentation: Record findings with context and methodology
  1. User-perceived performance: Focus on metrics users actually experience
  2. Development productivity: Balance optimization with development speed
  3. Maintenance burden: Avoid complex optimizations that are hard to maintain
  4. Measurable impact: Only optimize when improvement can be quantified
  • Track key metrics consistently over time
  • Set performance budgets and alerts
  • Review performance impact of all major changes
  • Use performance data to inform development decisions