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Description: In this episode, we will talk about the importance of remediating failed workflow jobs to reduce business infrastructure costs. We delve into Netflix's approach, which involves enhancing their existing rule-based error classifier with advanced machine learning models. This allowed for auto-remediation, improving the handling of memory configuration and unclassified errors, ultimately leading to substantial cost savings.
Based on their published tech blog, with the link provided here for your reference: https://netflixtechblog.com/evolving-from-rule-based-classifier-machine-learning-powered-auto-remediation-in-netflix-data-039d5efd115b
By Pan Wu5
99 ratings
Description: In this episode, we will talk about the importance of remediating failed workflow jobs to reduce business infrastructure costs. We delve into Netflix's approach, which involves enhancing their existing rule-based error classifier with advanced machine learning models. This allowed for auto-remediation, improving the handling of memory configuration and unclassified errors, ultimately leading to substantial cost savings.
Based on their published tech blog, with the link provided here for your reference: https://netflixtechblog.com/evolving-from-rule-based-classifier-machine-learning-powered-auto-remediation-in-netflix-data-039d5efd115b

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