Kubernetes Application Developer: Resource Limits Scheduling and Autoscaling

Efficient application performance in Kubernetes depends on balancing resource allocation, scheduling, and autoscaling behavior.In this course, explore how to set CPU and memory requests and limits to ensure balanced resource utilization and predictable performance. Next, discover how to guide pod placement using labels, affinity, taints, and tolerations to align workloads with the right nodes. Finally, learn to configure horizontal pod autoscaling and refine scheduling strategies to achieve efficiency and reliability in production-grade Kubernetes deployments.This course is part of a series designed to prepare learners for the Certified Kubernetes Application Developer (CKAD) exam.