Batching 39 Stock Asset Uploads on a 2 GB Server: Lessons in Error Handling
A developer ran 39 asset products through a pipeline on a 1 vCPU, 2 GB RAM server, and the job crashed with a MemoryError around product 14, losing hours of work. Platform-specific CSV headers, which differ in column count across Adobe, Vecteezy, and Dreamstime, caused repeated rejections, so the developer hardcoded each exact header. Re-running a batch risked double-posting, so a plain-text ledger tracking completed uploads was built to make re-runs safe. Measuring peak memory usage, the developer switched to sequential processing, per-asset garbage collection, and subprocesses for heavy renders, after which the full batch completed on the same machine. The article also recommends a clear project folder layout and never deleting research files.
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