Kubernetes makes it easy to deploy and scale applications, but cost management is often overlooked, leading to unnecessary cloud expenses. Over provisioned resources, inefficient autoscaling and idle workloads can significantly inflate cloud bills.

In this session, we will dive into practical strategies to optimize Kubernetes costs while maintaining performance and reliability. We’ll explore:

Common cost pitfalls in Kubernetes environments.
Right-sizing workloads using Vertical Pod Autoscaler (VPA) & Horizontal Pod Autoscaler (HPA).
Karpenter for dynamic, cost-effective node provisioning.
Monitoring cost & resource usage using OpenCost, AWS Cost Explorer, and Kubernetes-native tools.
Real-world best practices for cutting unnecessary expenses without impacting performance.
This session is designed for Cloud Engineers, DevOps Teams, SREs and FinOps Practitioners who want to gain actionable insights into reducing cloud costs while ensuring efficient Kubernetes operations.