kubectl apply vs create in Kubernetes - Performance Comparison

Time Complexity: kubectl apply vs create

O(n)

Understanding Time Complexity

We want to understand how the time to run kubectl apply and kubectl create changes as the number of Kubernetes resources grows.

How does the command's work grow when we manage more resources?

Scenario Under Consideration

Analyze the time complexity of these commands managing multiple resources.

kubectl create -f resources.yaml
kubectl apply -f resources.yaml

kubectl create makes new resources, while kubectl apply creates or updates resources by checking their current state.

Identify Repeating Operations

Look at what repeats when these commands run on many resources.

• Primary operation: For each resource, kubectl create sends a creation request once; kubectl apply first fetches the current state, then sends create or update requests.
• How many times: Once per resource for both commands, but apply does extra checks per resource.

How Execution Grows With Input

As the number of resources grows, the work grows roughly in a straight line.

Input Size (n)	Approx. Operations for create	Approx. Operations for apply
10	10 create requests	10 fetch + 10 create/update requests
100	100 create requests	100 fetch + 100 create/update requests
1000	1000 create requests	1000 fetch + 1000 create/update requests

Pattern observation: Both commands scale linearly, but apply does about twice the work per resource.

Final Time Complexity

Time Complexity: O(n)

This means the time grows directly with the number of resources you manage.

Common Mistake

[X] Wrong: "kubectl apply is always faster than kubectl create because it updates only changed resources."

[OK] Correct: apply always checks the current state first, so it does extra work per resource, making it slower when many resources are involved.

Interview Connect

Understanding how commands scale with resource count helps you design efficient deployment processes and shows you think about real-world system behavior.

Self-Check

What if we changed kubectl apply to use server-side apply? How would the time complexity change?