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Valence

AI-Based Performance Management

Valence

AI-Based Performance Management

Valence aids in the setting of the optimal resources for deployments from Day 1 by recommending and continually setting the best resources for workloads based on modeling of how applications behave. From Day 1 on, Valence maximizes cluster utility and performance by scaling workloads and setting autoscaling configs based on the learned dynamics of an application and its forecasted workload. The results for Day 2 and Day 3 are a low-to-no overhead for autoscaling, maximized performance compliance, and cost efficiency.

Nice! Is there a way to integrate this with Terraform, to automatically adjust infrastructure (or maybe even create pull requests with suggested changes)?

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