I am rather impressed by the kappa bot! I have another question. I am running Airbyte on a VM with 8GB RAM and 100GB disk space. I have a rather large MongoDB collection of about 40GB in size that I am trying to get into Snowflake. The VM keeps crashing when I attempt this job. My question is actually two qustions. 1. How can I reset the airbyte instance so that it clears the job (logs and all) and doesn't attempt to restart the last job. 2. How do I configure Airbyte to only use up to 7GB of RAM, and not run into any potential OOM issues?

Based on the information provided in the extracts, here are the answers to your questions: 1. To reset the Airbyte instance and clear the job logs, you might need to manually delete the logs from the

WORKSPACE_ROOT

directory. In one of the [extracts](https://discuss.airbyte.io/t/2188), a user had a similar issue where Airbyte was running out of space because the

WORKSPACE_ROOT

was set to a directory with limited storage. They resolved the issue by setting

WORKSPACE_ROOT

to a directory with more storage. However, the extract does not provide explicit instructions on how to delete logs or prevent Airbyte from attempting to restart the last job. 2. Regarding the configuration of Airbyte to use up to 7GB of RAM, the extracts do not provide specific information on how to limit memory usage for Airbyte. However, if you're running Airbyte in a Docker container, you might be able to limit the memory usage of the container by setting the

-m

or

--memory

option when you run the container. Please note that this is a general Docker feature and not specific to Airbyte. For more detailed instructions, you might want to refer to the Docker documentation or the [Airbyte documentation](https://docs.airbyte.com). Please note that these answers are based on the information available in the provided extracts and may not fully address your questions. For more accurate and detailed information, I recommend checking the official Airbyte documentation or reaching out to the Airbyte community on their Slack channel or discussion forum.