Kubernetes Pod Scaling: Horizontal Pod Autoscaler
Scale deployments automatically based on CPU utilization - and see why resource requests are a prerequisite for HPA to work.
Submissions: 5/8
Materials by Kaloyan Preslavski
Explore tutorials, challenges, courses, and more published by this author.
Challenges by Kaloyan Preslavski
See all →Kubernetes Pod Scheduling: nodeSelector and Node Affinity
Start with nodeSelector for simple node targeting, then upgrade to node affinity for expressive matching that nodeSelector cannot handle.
Submissions: 7/8
Kubernetes Pod Scheduling: LimitRange and ResourceQuota
Use LimitRange to set per-pod resource defaults and ResourceQuota to cap total namespace consumption.
Submissions: 4/10
Kubernetes Pod Scheduling: Quality of Service Classes
See how Kubernetes determines BestEffort, Burstable, and Guaranteed classes from resource configuration - and which pods get evicted first under pressure.
Submissions: 9/9
Kubernetes Pod Scheduling: Resource Requests
See how CPU and memory requests influence where pods land - and what happens when no node can fit them.
Submissions: 13/21
Kubernetes Pod Scheduling: Priority and Preemption
Use PriorityClass to guarantee critical pods get scheduled even when the cluster is under resource pressure.
Submissions: 6/11
Skill Paths by Kaloyan Preslavski
See all →Explore Kubernetes Pod Scheduling
Nine hands-on challenges split into two sections. The resource section covers how requests, QoS classes, priority, and namespace quotas shape scheduling decisions. The placement section covers how affinity, topology spread, and dedicated nodes control where pods land. HPA closes the path by showing how requests drive autoscaling.