SREcon24 Europe/Middle East/Africa

Moeid Heidari


This research tackles the limitations of traditional autoscaling systems, which typically operate within a single cloud provider. We propose a new Kubernetes autoscaling operator that dynamically adjusts resources across multiple cloud platforms and on-premise systems. By integrating with various provisioning systems and allowing user-defined scaling strategies, this operator addresses the inefficiencies and vendor lock-in issues of conventional solutions. Our approach not only enhances scalability and system resilience but also improves cost-efficiency, as demonstrated by a significant increase in system availability. Metrics are collected and analyzed to predict scaling needs, ensuring optimal performance and resource utilization.


https://www.usenix.org/conference/srecon24emea/presentation/heidari