Blob Storage Design: Uploading Images & Videos at Scale
Handle massive media uploads: S3 Presigned URLs, Multipart chunked parallel uploads, direct-to-S3 client uploads, event notifications, and asynchronous transcoding pipelines.
01.The Web Server Upload Anti-Pattern
A classic mistake in distributed media system design is streaming user-uploaded files directly through backend application servers:
Why Proxying Uploads Through Web Servers Fails:
- Thread & Socket Starvation: Streaming a
2 GBvideo over a mobile connection takes several minutes. While uploading, the connection occupies a web server worker thread, memory buffer, and TCP socket. A few hundred simultaneous uploads will completely exhaust the web server pool, causing catastrophic 504 Gateway Timeouts for normal API requests. - Double Bandwidth Costs (
O(2N)): Traffic traverses the cloud boundary twice: first from Client→Web Server, and second from Web Server→S3 Bucket. This doubles network latency and cloud data transfer egress bills. - Memory Pressure & OOM Outages: Buffering large file chunks in Node.js or Python memory heaps can trigger process crashes under high concurrency.
Direct-to-S3 Presigned URL & Multipart Upload Architecture 📤
Direct-to-S3 Presigned URL & Multipart Upload Architecture 📤
Clients upload heavy binary media directly to Object Storage via signed URLs, triggering event-driven asynchronous transcoding.
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