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.
๐ 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)
๐ฆ Non-Functional Requirements
- Low latency for popular images
- Parallel processing for heavy transformations
- Scalable, stateless transformation service
๐๏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
๐ URL Format for Transformation
https://cdn.example.com/image/12345?w=500&h=300&format=webp&fit=cover
๐ ๏ธ Example ImageMagick Command
convert input.jpg -resize 500x300^ -gravity center -extent 500x300 -quality 80 -strip output.webp
๐ 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
};
};
๐งช Caching Strategy
- CDN with long TTL + cache-busting via URL hash
- Local LRU disk cache on edge node
๐ Security Practices
- Signed URLs for write or private access
- Rate limiting on public endpoints
๐ Metrics
- Cold vs hot transformation ratio
- Average image processing time
- CDN cache hit/miss
๐งฐ Tools and Infra
- Transform: ImageMagick, Sharp, Pillow
- Storage: S3, GCS, local SSD
- CDN: Cloudflare, CloudFront, Fastly
๐ 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.