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7-9 October, 2026
Prague, Czechia
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Important Note: Timing of sessions and room locations are subject to change.

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Thursday October 8, 2026 15:50 - 16:30 CEST
Spot instances reduce cloud bills by up to 90%, but choosing which to use is a multi-dimensional puzzle where price, performance, interruption risk, and instance heterogeneity all interact. Kubernetes provisioners like Karpenter optimize a narrow slice of this problem, tightly coupled to a single cloud vendor, AWS.

KubePACS is an open source project that separates the decision from the execution. A vendor-neutral optimizer computes the best mix of instance types for a workload's cost-performance-availability profile, then translates that into native configuration for the user's provisioner

The talk goes deep into the system: the ILP-based selector for cost-performance-availability trade-offs, the GSS-driven optimizer that tunes them automatically, multi-node spot placement awareness for robust capacity across cloud providers, and clean integration with upstream Karpenter.

Attendees see measured gains over baseline configurations and take away an architecture pattern for performance-aware spot instance provisioning. We close with our intent to grow KubePACS as an open source community effort and welcome contributors to shape what comes next.
Speakers
avatar for Kyungyong Lee

Kyungyong Lee

Associate Professor, Hanyang University
Kyungyong Lee is an associate professor in the Department of Data Science at Hanyang University, South Korea. His research focuses on developing cost-efficient and highly available distributed big data and AI platforms on the cloud. Before joining academia, he worked as a software... Read More →
Thursday October 8, 2026 15:50 - 16:30 CEST
Small Hall (Floor 0)
  Cloud & Orchestration

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