Скачать или смотреть How CattleEye saved over 60% on EC2 by utilizing AWS Spot Instances with PerfectScale for Spot

Running inference pipelines on AWS Batch, CattleEye applies computer vision technology to off-the-shelf cameras, monitoring cows and analyzing footage to improve the welfare of over a million cows. But real-time analysis of cows is a compute-intensive job, and AWS EC2 drives the majority of CattleEye’s costs.

At first they were using GPU instances, which made it difficult to leverage Spot instances. Additionally, they didn’t have time to research other suitable instances that would’ve allowed them to leverage Spot instances more.
CattleEye leveraged PerfectScale for Spot, which manages the instance composition of their Auto Scaling Groups (ASGs), so they could better adopt Spot instances. Initially relying solely on on-demand instances, now their batch processing runs 100% on Spot instances – and CattleEye is saving big as a result.

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Read the case study: https://www.doit.com/clients/cattleeye/

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