I have an app with a lot of models and lambda functions and during running a new sandbox or deployment it will always fail because of "TooManyRequestsException"
What would be the best strategy to deploy a larger sized app?
#Deploying large Amplify App TooManyRequestsException
fervent python
Another error showed up: Limit on the number of resources in a single stack operation exceeded
unique agate
hey, I just got the same thing, "Limit on the number of resources in a single stack operation exceeded"
but I'm not gonna have time to work on it, I'll try other options for my task at hand
so all I can do is offer sympathy and say "me too"
fervent python
hey, I just got the same thing, "Limit on the number of resources in a single st...
apparently the "solution" is to reduce resolvers/functions and reduce models.
Or staggered deployment by disabling some models, then enabling them after first deploy
unique agate
yeah, I saw that. I guess this is the main gh issue https://github.com/aws-amplify/amplify-category-api/issues/2550
but those workarounds are more effort than other options in my situation. I just wanted to use amplify's "connect branch" to show some variations to non-tech stakeholders. I'll have to find some other way
