Hello All, I Currently have a production Airbyte instance hosted on a GCP Compute Engine. Expecting more and more collects, should I move to a GKE hosting ? (I saw GKE support is still in "Beta") What is the current GCP hosting recommendation ? Have a nice day

Hello, Airbyte can be hosted on both GCP Compute Engine and GKE (Google Kubernetes Engine). The choice between the two depends on your specific needs and the scale of your operations. If you're currently running Airbyte on a GCP Compute Engine and it's serving your needs well, you might not need to switch. However, if you're expecting a significant increase in data collection and need more scalability and flexibility, moving to a Kubernetes-based deployment like GKE could be beneficial. For deploying Airbyte on GKE, you can follow the guide on [Deploying Airbyte on Kubernetes using Helm](https://docs.airbyte.com/deploying-airbyte/on-kubernetes-via-helm). Please note that this is still in Beta, so there might be some unexpected issues. For a GCP Compute Engine deployment, the recommended instance for a production environment is a

n1-standard-2

instance. However, based on a [forum discussion](https://discuss.airbyte.io/t/3037), a user reported that upgrading to a larger instance (n2-standard-4 with 50 GB starting disk) resolved their issues with larger data syncs. If you're considering a Kubernetes deployment, Airbyte has been tested on GKE and EKS clusters v1.19 and above. For local testing, Docker Desktop (Mac), Minikube, and Kind are recommended. For testing on GKE, you can create a cluster with the command line or the Cloud Console UI. For production, if you run into a problem starting Airbyte, you can reach out on the

#troubleshooting

channel on [Slack](https://slack.airbyte.io/) or [create an issue on GitHub](https://github.com/airbytehq/airbyte/issues/new?assignees=&labels=type%2Fbug&template=bug-report.md&title=). In conclusion, the choice between GCP Compute Engine and GKE depends on your specific needs. If you're expecting a significant increase in data collection, a move to GKE might be beneficial for its scalability and flexibility. However, please note that GKE support is still in Beta. Have a great day!