Sessions

A cloud cost saving journey: Strategies to balance CPU for containerized JAVA workloads in K8s

Laurentiu Marinescu - ASML / Ajith Ganesan - ASML

Are you struggling to optimize CPU resources in your Kubernetes environment, leading to underutilization and wasted costs? Are you wondering how to efficiently manage multiple workloads with varying resource demands in the same cluster? Can you afford to leave CPU resources idle, watching your operational expenses soar?

In Kubernetes environments, efficient CPU resource management is crucial for achieving optimal performance and cost-effectiveness. In this presentation, Ajith and Laurentiu explore strategies for optimizing CPU resource utilization for containerized Java workloads, focusing on the critical roles of resource requests and limits.

We will discuss best practices for setting appropriate CPU allocations based on workload characteristics and performance metrics, as well as techniques for rightsizing application container resource allocations in response to demand. Through a data-driven analysis and live examples using profiles, we will demonstrate how to cope with different types of workloads in the same cluster by sharing resources, minimizing idle CPU cycles, and reducing operational expenses.

By attending this session, you’ll gain actionable insights and takeaways on how to optimize CPU resource utilization, overcome common challenges, and achieve better efficiency, lower infrastructure costs, and superior performance in your on-premises Kubernetes deployments. Join us to learn how to unlock the full potential of your Kubernetes environment and take your containerized Java workloads to the next level!