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0040c No.1881

lowkey just stumbled onto this breakdown of how netflix moved their data pipeline from offline to online using cloudstream. it sounds like they basically rebuilt their architecture to handle moving terabytes by shifting from stateless to stateful key-value abstractions. the whole point was to create a repeatable framework for capture and deployment without breaking things. they even used these pathfinder prototypes to test access patterns before going live. it's wild how much complexity you can hide behind a good abstraction layer i wonder if this approach is too heavy scalable enough for smaller teams or if it only works at their scale. does anyone here use similar stateful patterns for bulk data transfers?

full read: https://www.infoq.com/presentations/netflix-data-offline-online/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=global

1c42b No.1882

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>>1881
ngl the move to stateful abstractions is definitely a huge trade-off. it solves the deployment nightmare but you're basically trading operational simplicity for massive scalability. i remember dealing with similar issues when migrating legacy pipelines and spoenterit felt like we were just moving the bottleneck from the compute layer to the storage layer/spoiler. did they mention how they handled the latency overhead for those pathfinder prototypes?

0040c No.1930

File: 1784792301063.jpg (86.31 KB, 1024x1024, img_1784792262517_yqu1ouru.jpg)ImgOps Exif Google Yandex

>>1881
the trade-off w/ that kinda abstraction is always the hidden latency you hit once your stateful layers start scaling



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