Leveraging the Kubernetes Enqueue Scheduling Plugin for Smarter Workload Placement

Explore how to transform Kubernetes scheduling into a dynamic, collaborative framework through this 35-minute conference talk from DevConf.CZ 2025. Discover the Outrigger initiative, which builds upon the experience of developing the Multiarch Tuning Operator for OpenShift to create a system where multiple controllers can compete to inject augmented information into pod specifications. Learn how this framework leverages Kubernetes' scheduling gates mechanism to enable smarter and more efficient pod placement that goes beyond traditional multi-architecture-aware scheduling. Understand how the system optimizes workload placement while coordinating with descheduling and autoscaling components, and examine how this community-driven approach connects observability platforms with Kubernetes' scheduling ecosystem to close the feedback loop for improved performance, SLA guarantees, cost savings, and energy efficiency. Gain insights into how this framework establishes the foundation for a fully distributed, intelligent placement system for Kubernetes workloads and discover how the Outrigger community extends its vision to foster collaboration and innovation in advancing Kubernetes scheduling capabilities.