Kubernetes, the industry-leading container orchestration platform, has evolved to support a wide array of workloads. However, the default Kubernetes scheduler may not always be optimal for complex or highly specialized workloads. This session will delve into the power and flexibility of running multiple schedulers within a single Kubernetes cluster. By leveraging custom schedulers, operators can tailor the scheduling behavior for diverse workload types, improve performance, and address unique resource needs. We will explore the configuration, management, and integration of multiple schedulers, discussing strategies such as scheduler priorities, custom scheduling policies, and scheduler tuning to meet the demands of modern applications.