Prompt

I'm building a workflow that compresses images during deploy

Technology / CDN & Edge Infrastructure1 observationLast seen Nov 2, 2026

Latest observation

Nov 2, 2026OpenAI APIWeb search: off

Nice idea — compressing images at deploy time can be a good way to reduce bundle size and improve load performance.

A few practical notes to make it work well:

  • Prefer build-time over deploy-time if possible. Deploy-time compression can slow deployments and make failures harder to recover from.
  • Use deterministic compression so the same input always produces the same output.
  • Keep originals somewhere safe in case you need to reprocess with different quality settings.
  • Cache aggressively so unchanged images aren’t recompressed every deploy.
  • Choose format-aware tools:
    • JPEG: mozjpeg, jpegoptim
    • PNG: optipng, pngquant
    • WebP/AVIF: cwebp, avifenc
  • Set quality thresholds carefully to avoid visible artifacts.
  • Validate dimensions and metadata if you strip EXIF or resize images.

A common pattern is:

  1. Detect changed images
  2. Run compression tool(s)
  3. Output optimized assets to an artifacts folder
  4. Upload or publish those assets as part of deploy
  5. Serve them with long cache headers and content hashing

If you want, I can help you design:

  • a CI/CD pipeline for this,
  • a Node/Python script to compress images,
  • or a Docker-based deploy step.

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