Understanding Kubernetes: Part 26 Preemption and Priority
Last updated
Last updated
A Pod Priority defines the importance of a Pod relative to others. Higher-priority Pods get scheduled before lower-priority ones. If resources are insufficient, Kubernetes may preempt (evict) lower-priority Pods to make room for higher-priority ones.
Pod priorities are defined using PriorityClasses, which assign numerical values to indicate importance.
Example: Creating a Priority Class
value
: Determines the priority level; higher values indicate higher priority.
preemptionPolicy
: Defines whether the Pod can preempt lower-priority Pods (PreemptLowerPriority
).
globalDefault
: If true
, this priority applies to all Pods by default.
After defining a PriorityClass, assign it to a Pod:
This Pod is now considered high-priority and may preempt lower-priority Pods if needed.
Preemption occurs when a high-priority Pod cannot be scheduled due to resource constraints. Kubernetes then evicts lower-priority Pods to free up resources for the high-priority Pod.
A high-priority Pod cannot be scheduled due to lack of resources.
Kubernetes identifies lower-priority Pods that can be evicted.
The lower-priority Pods are terminated.
The high-priority Pod is scheduled.
By setting preemptionPolicy: Never
, you can prevent a Pod from evicting other workloads:
This ensures that Pods with this priority will not preempt lower-priority Pods.
Assign higher priority to critical applications to guarantee their availability.
Set low priority for batch processing jobs to avoid interference with real-time applications.
Preempt lower-priority workloads during resource shortages, ensuring vital services remain operational.
If a PriorityClass is no longer needed, remove it using:
This prevents future Pods from using this priority but does not affect running Pods.
Kubernetes Preemption and Priority allow fine-grained control over workload scheduling, ensuring that essential applications always have the resources they need. By assigning priorities wisely, you can optimize cluster stability and resource allocation efficiently.
As a Senior DevOps Engineer, I leveraged Kubernetes Priority and Preemption to ensure efficient workload scheduling:
Critical Services: Assigned high-priority classes to essential applications to prevent downtime.
Batch Jobs: Set lower priorities for non-essential batch jobs to minimize their impact on critical workloads.
Resource Optimization: Used preemption to dynamically allocate resources based on workload demand, ensuring efficient cluster utilization.
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