DEVOPSdigest

Datadog announced Datadog Kubernetes Autoscaling, a set of capabilities that intelligently automates resource optimization and can automatically scale customers’ Kubernetes environments based on real-time and historical utilization metrics.

With this announcement, Datadog enables customers to make changes to their Kubernetes environments directly from the platform.

Datadog Kubernetes Autoscaling continuously monitors and automatically rightsizes Kubernetes resources. This leads to significant cost savings for an organization’s cloud infrastructure and helps to ensure optimal application performance for workloads, improved user experiences and better ROI on container assets. Customers are able to identify workloads and clusters with a high number of idle resources, implement a one-time fix through intelligent automation or enable Datadog to automatically scale the workload on an ongoing basis. These new capabilities empower operators to decide the right balance on cost and user experience based on their risk profiles.

“Containers are a leading area of wasted spend because so many costs are associated with idle resources, but organizations also can’t risk degrading performance or not having enough resources to scale. The key for businesses is to find a balance between control and automation where they can automate actions when they are ready,” said Yrieix Garnier, VP of Product at Datadog. “Datadog Kubernetes Autoscaling provides this balance. By connecting automated Kubernetes rightsizing with real-time cost and performance data, Datadog is the only enterprise-grade, unified platform that provides end-to-end observability, security and resource management at scale for any Kubernetes-driven organization.”

Datadog Kubernetes Autoscaling helps organizations balance flexibility, control and automation so that they can:

- Control Cloud Costs: Optimize cloud costs and improve application performance with automated resource scaling for Kubernetes workloads within the Datadog platform.

- Simplify, Democratize and Automate Resource Optimization: Teams can leverage a unified view and an intuitive UI that displays Kubernetes resource utilization and cost metrics, making it simple for any team member to understand and scale resources.

- Unify Monitoring and Resource Management: Datadog’s unified, enterprise-grade platform gives organizations full visibility into how rightsizing impacts their workload and cluster performance, backed by high-resolution trailing container metrics, so teams can take action based on this rich context.

Datadog Kubernetes Autoscaling is now in beta.