Hi everyone,
I’m currently working with a Google Kubernetes Engine (GKE) cluster and I need to configure auto-scaling to handle varying workloads. I want to ensure that the cluster automatically adjusts the number of nodes based on the demand.
Here’s what I’ve done so far:
However, I’m unsure if there are additional configurations or best practices I should follow to optimize auto-scaling. Could someone provide guidance or share their experience on how to effectively configure auto-scaling for GKE clusters?
There are a few things to consider:
1) Make sure your resource requests and limits are accurately set for each pod to ensure efficient scaling.
2) Consider using multiple node pools with varied machine types to better handle different workload requirements.
3) Monitor your cluster's performance metrics and adjust the autoscaler settings, such as minimum and maximum node counts, to better align with your workload patterns.
4) Keep track of scaling events to gain insights into how your cluster is responding to changes in demand, which can help you fine-tune your configurations for optimal performance.