Scaling Down an Environment to Optimize Resource Usage
This document outlines the process for scaling down an environment in a Kubernetes cluster.
In cloud environments, resource optimization is crucial to reduce costs and improve efficiency. Scaling down unused or idle environments can significantly save computational resources, such as CPU, memory, and storage, without impacting application availability during inactive periods. By scaling down Kubernetes workloads like Deployments and StatefulSets, you can effectively manage resource usage and only scale them back up when required.
Here’s an example script that automates this process. The script identifies all Deployments and StatefulSets in a specific namespace and scales them to 0 replicas when the environment is idle. When the environment is needed again, it scales them back up to 1 replica.
Scaling down
The script iterates through all Deployments and StatefulSets in the namespace and sets their replicas to 0
. This effectively stops all workloads, freeing up resources such as CPU, memory, and storage.
Scaling up
When needed, the script can scale the replicas back to 1
, restoring the environment's operational state. This is particularly useful for testing, staging, or development environments.
How to use:
Ensure you have the permission to access cluster and
kubectl
is installed and properly configured to communicate with your Kubernetes cluster.Save the script to a file, for example, scale_down_k8s_replicas_to_one.sh or scale_down_k8s_replicas_to_zero.sh.
Make the script executable: chmod +x scale_k8s_replicas_to_one.sh
Run the script, specifying the namespace:
./scale_k8s_replicas_to_one.sh <namespace>
Replace <namespace> with the desired namespace. If no namespace is specified, it defaults to default. Example:
./scale_k8s_replicas_to_one.sh dev
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