Swiftorial Logo
Home
Swift Lessons
AI Tools
Learn More
Career
Resources

System Design FAQ: Top Questions

59. How would you design an Image Processing Pipeline at scale (e.g., like Imgix or Cloudinary)?

An Image Processing Pipeline supports uploading, transforming (resize, crop, watermark), and serving images with CDN support and caching. It should ensure speed, reliability, and dynamic transformations.

๐Ÿ“‹ Functional Requirements

  • Support upload and on-demand transformations
  • Expose URL-based transformation API
  • Serve images from cache/CDN
  • Preserve aspect ratios, optimize formats (WebP, AVIF)

๐Ÿ“ฆ Non-Functional Requirements

  • Low latency for popular images
  • Parallel processing for heavy transformations
  • Scalable, stateless transformation service

๐Ÿ—๏ธ Architecture

  • Uploader: Upload via API โ†’ S3/GCS
  • Transformer: On-demand service (Lambda, Node.js, Go)
  • CDN: Caches transformed output (e.g., CloudFront, Fastly)
  • Metadata Store: Stores transformation history and hash

๐ŸŒ URL Format for Transformation


https://cdn.example.com/image/12345?w=500&h=300&format=webp&fit=cover
        

๐Ÿ› ๏ธ Example ImageMagick Command


convert input.jpg -resize 500x300^ -gravity center -extent 500x300 -quality 80 -strip output.webp
        

๐Ÿš€ On-Demand Lambda (Node.js)


const sharp = require('sharp');

exports.handler = async (event) => {
  const { w, h, format } = event.queryStringParameters;
  const inputBuffer = await getImageFromS3("original.jpg");

  const transformed = await sharp(inputBuffer)
    .resize(+w, +h)
    .toFormat(format || 'webp')
    .toBuffer();

  return {
    statusCode: 200,
    headers: { "Content-Type": `image/${format}` },
    body: transformed.toString("base64"),
    isBase64Encoded: true
  };
};
        

๐Ÿงช Caching Strategy

  • CDN with long TTL + cache-busting via URL hash
  • Local LRU disk cache on edge node

๐Ÿ” Security Practices

  • Signed URLs for write or private access
  • Rate limiting on public endpoints

๐Ÿ“ˆ Metrics

  • Cold vs hot transformation ratio
  • Average image processing time
  • CDN cache hit/miss

๐Ÿงฐ Tools and Infra

  • Transform: ImageMagick, Sharp, Pillow
  • Storage: S3, GCS, local SSD
  • CDN: Cloudflare, CloudFront, Fastly

๐Ÿ“Œ Final Insight

Use stateless transformation backed by S3 and CDN. Optimize for popular image sizes, pre-generate critical formats, and cache aggressively to reduce origin hits and cost.