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https://aws.amazon.com/blogs/opensource/amazons-exabyte-scale-migration-from-apache-spark-to-ray-on-amazon-ec2

Amazon’s Exabyte-Scale Migration from Apache Spark to Ray on Amazon EC2 | Amazon Web Services

Large-scale, distributed compute framework migrations are not for the faint of heart. There are backwards-compatibility constraints to maintain, performance expectations to meet, scalability limits to overcome, and the omnipresent risk of introducing breaking changes to production. This all becomes especially troubling if you happen to be migrating away from something that successfully processes exabytes of […]



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Amazon’s Exabyte-Scale Migration from Apache Spark to Ray on Amazon EC2 | Amazon Web Services

https://aws.amazon.com/blogs/opensource/amazons-exabyte-scale-migration-from-apache-spark-to-ray-on-amazon-ec2

Large-scale, distributed compute framework migrations are not for the faint of heart. There are backwards-compatibility constraints to maintain, performance expectations to meet, scalability limits to overcome, and the omnipresent risk of introducing breaking changes to production. This all becomes especially troubling if you happen to be migrating away from something that successfully processes exabytes of […]



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https://aws.amazon.com/blogs/opensource/amazons-exabyte-scale-migration-from-apache-spark-to-ray-on-amazon-ec2

Amazon’s Exabyte-Scale Migration from Apache Spark to Ray on Amazon EC2 | Amazon Web Services

Large-scale, distributed compute framework migrations are not for the faint of heart. There are backwards-compatibility constraints to maintain, performance expectations to meet, scalability limits to overcome, and the omnipresent risk of introducing breaking changes to production. This all becomes especially troubling if you happen to be migrating away from something that successfully processes exabytes of […]

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      Large-scale, distributed compute framework migrations are not for the faint of heart. There are backwards-compatibility constraints to maintain, performance expectations to meet, scalability limits to overcome, and the omnipresent risk of introducing breaking changes to production. This all becomes especially troubling if you happen to be migrating away from something that successfully processes exabytes of […]

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