Publications

Optimizing Cloud Workloads - Autoscaling with Reinforcement Learning

By 2027, over 50 % of enterprises are expected to adopt industry cloud platforms, driving potential EBITDA value of $3 trillion by 2030. In this landscape, software providers rely on Infrastructure-as-a-Service (IaaS) providers to access tailored virtualized resources based on usage. Optimizing resource utilization is crucial to reducing operating costs and maintaining quality standards for SaaS and IaaS providers. This creates an essential need for dynamic scaling mechanisms to adjust resources according to workload variations...