Promises and Queues: Using Unlikely Suspects to Handle Asynchronous Parallel Processing
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summary
Describes converting a black‑box 3D model processing pipeline into discrete, logged jobs using Jenkins to handle asynchronous, parallel tasks like manufacturability checks, sizing and pricing. Explains why Jenkins was chosen, how it fit this use case, and how the same job‑management patterns map to serverless approaches (for example AWS Lambda) for handling parallel asynchronous processing across platforms.
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