Catalog Details

• CATEGORY

  scaling

• CREATED BY

  Deepak Reddy

• UPDATED AT

  May 03, 2024

• VERSION

  1.0

Pattern Snapshot

Related Patterns

scaling

Autoscaling based on Metrics in GKE

MESHERY400b

What this pattern does:

A HorizontalPodAutoscaler (HPA for short) automatically updates a workload resource (such as a Deployment or StatefulSet), with the aim of automatically scaling the workload to match demand Horizontal scaling means that the response to increased load is to deploy more Pods. This is different from vertical scaling, which for Kubernetes would mean assigning more resources (for example: memory or CPU) to the Pods that are already running for the workload. If the load decreases, and the number of Pods is above the configured minimum, the HorizontalPodAutoscaler instructs the workload resource (the Deployment, StatefulSet, or other similar resource) to scale back down.

Caveats and Consideration:

Modify deployments and names according to requirement

Compatibility:

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