# Production Data Workflows

Examples for file-parallel ETL, image processing, external service limits, and operational backfills.

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th><th data-hidden data-card-cover data-type="files"></th></tr></thead><tbody><tr><td><strong>ETL 10K S3 files to Postgres</strong></td><td>Transform gzipped JSON files with idempotent inserts while protecting Postgres with <code>max_parallelism</code>.</td><td><a href="/pages/KUY2QwE8hhmdj7Nv4chf">/pages/KUY2QwE8hhmdj7Nv4chf</a></td><td><a href="/files/qUoEj9KZF1pxsw8Ppf84">/files/qUoEj9KZF1pxsw8Ppf84</a></td></tr><tr><td><strong>Resize an image corpus</strong></td><td>Chunk image keys, resize with Pillow, write outputs to S3, and stream a manifest.</td><td><a href="/pages/UKWAkgvo8nlGjJyuFXdG">/pages/UKWAkgvo8nlGjJyuFXdG</a></td><td><a href="/files/A6R051kzYWq9PQ7aMYqs">/files/A6R051kzYWq9PQ7aMYqs</a></td></tr><tr><td><strong>Run a 2M-user API backfill</strong></td><td>Backfill user profiles while keeping provider limits explicit in chunk size, sleeps, retries, and <code>max_parallelism</code>.</td><td><a href="/pages/GI7jUpYzLur6caMjOJdU">/pages/GI7jUpYzLur6caMjOJdU</a></td><td><a href="/files/PCLQErRQwkWoHXdjRNQc">/files/PCLQErRQwkWoHXdjRNQc</a></td></tr><tr><td><strong>Scrape 1M web pages</strong></td><td>Scrape static HTML with polite pacing, retries, error rows, streaming output, and a global concurrency cap.</td><td><a href="/pages/C9L1oJbotnaatf6eRGgW">/pages/C9L1oJbotnaatf6eRGgW</a></td><td><a href="/files/5nvYHATYRsVkIrtS3WBj">/files/5nvYHATYRsVkIrtS3WBj</a></td></tr><tr><td><strong>Run 1B option simulations</strong></td><td>Split the run into independent chunks, then reduce sums and squared sums locally.</td><td><a href="/pages/GmCkcIgoRgXDgDYeOdTW">/pages/GmCkcIgoRgXDgDYeOdTW</a></td><td><a href="/files/7eLZqlUVmRPGuPtPPOwh">/files/7eLZqlUVmRPGuPtPPOwh</a></td></tr></tbody></table>


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