Do you have an idea for a minimal EC2 instance to run large Airbyte workloads?

For large workloads, it's recommended to use an instance with at least 2 cores and 8 gigabytes of RAM. However, for the best performance, it's suggested to run Airbyte on a machine with 4 or more CPUs and at least 8 GB of memory. If you're using

abctl

, it does support running on 2 CPUs and 8 GB of RAM with the

--low-resource-mode

flag. For testing, a

t2.medium

instance is recommended, and for production environments, a

t2.large

instance is suggested. However, if you're running large workloads, you might need a larger instance. For example, one user reported hosting Airbyte on a

m6a.2xlarge

instance for jobs that may take up to 12 hours to finish. Please note that these are general recommendations and the optimal instance size can depend on the specifics of your workload. Sources: - [Airbyte Documentation: Getting Started](https://docs.airbyte.com/using-airbyte/getting-started/oss-quickstart#suggested-resources) - [Airbyte Documentation: Deploy Airbyte on AWS (Amazon EC2)](https://docs.airbyte.com/deploying-airbyte/on-aws-ec2) - [Github Issue: Self-hosted Airbyte in Docker stuck and will not trigger sync](https://github.com/airbytehq/airbyte/issues/44833)