What you'll learn

Deploying an application is easy; keeping it running through updates, traffic spikes, and configuration changes is where CKA-level skills are measured. In this course, Certified Kubernetes Administrator (CKA): Managing Workloads and Scheduling, you'll gain the ability to manage the full workload lifecycle from rolling updates through autoscaling. First, you'll explore Deployment strategies including rolling updates, rollbacks, and the self-healing primitives — probes, restart policies, and native sidecar containers — that make applications resilient. Next, you'll discover ConfigMaps and Secrets for environment-specific configuration, mounting them as volumes and environment variables, understanding update propagation behavior, and managing sensitive data with the security patterns the exam expects. Finally, you'll learn scheduling constraints including resource requests and limits, taints, tolerations, and node affinity, along with the autoscaling competency, and scaling workloads automatically based on CPU metrics. When you're finished with this course, you'll have the workload management skills needed to deploy, configure, scale, and schedule applications on production Kubernetes clusters and handle every Workloads and Scheduling task on the CKA exam.