ramikrispin,
@ramikrispin@mstdn.social avatar

(1/4) ๐ˆ๐ง๐ญ๐ซ๐จ๐๐ฎ๐œ๐ญ๐ข๐จ๐ง ๐ญ๐จ ๐Œ๐ฎ๐ฅ๐ญ๐ข-๐’๐ญ๐š๐ ๐ž ๐ˆ๐ฆ๐š๐ ๐ž ๐๐ฎ๐ข๐ฅ๐ ๐Ÿณ ๐Ÿ๐จ๐ซ ๐๐ฒ๐ญ๐ก๐จ๐ง ๐Ÿ

The size of the Docker image could quickly increase during the build time. I became more mindful of the image size when I started to deploy on Github Actions. The bigger the image size, the longer the run time and the higher the runtime cost.

This is when you should consider using a multi-stage build ๐Ÿš€.

๐Ÿงต๐Ÿ‘‡๐Ÿผ

#docker #mlops #python #DataScience #medium

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