We are seeing a few performance issues with our large scale GKE Standard Production deployment .I want to be able to quickly standup an isolated sandbox GKE Autopilot cluster to troubleshoot the production issues we are seeing. What is the fastest way to standup a new sandbox GKE Autopilot cluster? Remember that PROD is GKE Standard and sandbox is GKE Autopilot. Can i use the Backup for GKE option in this case will it work? Another straightforward option which is pretty obvious is to provision a new GKE Autopilot cluster and deploy the workloads from scratch.
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Hi @dheerajpanyam,
Welcome to Google Cloud Community!
Yes, it may work and could still be chosen as an option. However, Backup for GKE has its limitations. To summarize, Backup for GKE does not back up the following:
Note: Backup for GKE is designed for disaster recovery, backup, and restore purposes.
For recommendation, the most straightforward and fastest way is to provision a new GKE cluster - autopilot(Sandbox) and deploy all the workloads from scratch. This allows you to configure the cluster with the exact configurations and replication of workloads needed.
For best practices in Managing Google Kubernetes Engine, you can refer to this documentation.
I hope the above information is helpful.
Hi @dheerajpanyam,
Welcome to Google Cloud Community!
Yes, it may work and could still be chosen as an option. However, Backup for GKE has its limitations. To summarize, Backup for GKE does not back up the following:
Note: Backup for GKE is designed for disaster recovery, backup, and restore purposes.
For recommendation, the most straightforward and fastest way is to provision a new GKE cluster - autopilot(Sandbox) and deploy all the workloads from scratch. This allows you to configure the cluster with the exact configurations and replication of workloads needed.
For best practices in Managing Google Kubernetes Engine, you can refer to this documentation.
I hope the above information is helpful.
Thanks @francislouie You summed it up very well from your note, makes sense thanks much.