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As Kubernetes adoption grows—and compute spend becomes the top cloud cost driver—Platform Engineers and Developers must ensure applications stay stable, performant, and cost-efficient. Yet, with current tools and processes, more than 83% of spend goes towards idle container resources.
In this webinar, we’ll show you how Datadog Kubernetes Autoscaling and Cloud Cost Management can help eliminate wasted spend and maintain optimal performance by rightsizing your workloads. We’ll cover autoscaling strategies and show you how to:
- Identify and prioritize overprovisioned clusters and workloads using Cloud Cost Management
- Customize autoscaling recommendations to meet workload requirements
- Deploy autoscalers fast directly from Datadog or by integrating with GitOps systems
- Demonstrate the impact of your autoscaling program on cloud costs over time
Danny Driscoll
Senior Product Manager • Engineering, Datadog
