How We Saved Over $3 Million in Idle Compute Costs With Datadog Kubernetes Autoscaling

What if you could reduce cloud spend while improving application reliability? In this insightful Datadog success story, discover how the company used Datadog Kubernetes Autoscaling (DKA) to eliminate more than $3 million in annualised idle compute costs across thousands of deployments. Learn how intelligent multidimensional autoscaling helped teams rightsize resources, simplify scaling management, reduce operational complexity, and address both overprovisioning and underprovisioning challenges at scale. See the strategies, results, and best practices that business and technology leaders can apply to drive greater efficiency and value from their Kubernetes environments.