`job_main_container_memory_request` env variables ...
# ask-community-for-troubleshooting
y
job_main_container_memory_request
env variables denotes the memory for source and destination worker containers and not the airbyte-worker container , right ?
k
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y
@kapa.ai and how much memory airbyte-worker container needs then ?
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y
Will 8 gb ram and 2 cores works ? i.e. t3a.large @kapa.ai
k
A message from kapa.ai
Yes, a t3a.large instance with 8 GB RAM and 2 cores should work for testing and development purposes. As mentioned in a [previous support conversation](https://airbytehq.slack.com/archives/C021JANJ6TY/p1654122501707149), a t3a.medium instance is recommended for testing and development, while a t3a.large instance is recommended for starting to use Airbyte in production. However, it's essential to monitor your specific workload and adjust the instance size accordingly if you encounter performance issues or need to handle larger data volumes.