Gradient is a SaaS tool aimed at helping to optimize Databricks Jobs clusters to both lower costs and hit SLA deadlines. With a few simple clicks, new jobs can be onboarded in a breeze - democratizing the tedious task of cluster optimization for all.
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Congratulations on the launch! Truly a great product, this will significantly reduce operational costs.
I'm curious if there are any risks of Gradient making changes that could negatively impact performance. While automation can streamline workflows, will users lose some control or transparency into how their clusters are configured?
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