All those things from medium article are true, but most of the limits are reasonable IMO :) I've never used dataloaders, but it's an interesting topic to investigate. Our team uses AppSync heavily, it's possible to create very non-trivial resolvers using VTL only, we are using it heavily with EalsticSearch and DynamoDB.
We are even using AppSync with Redshift (via Lambda), and there we use subscriptions to serve clients with long taking queries - this was the point of my comment, you surely CAN go 100% serverless with GQL subscription and Lambdas :)
Yeah there are definitely still limitations. Not sure how much it has evolved since the update on the article as we just got started with it couple of months ago. It has been so far sufficient for our needs, but yeah data loader sounds like a lot more trickier problem, I'v yet to try to solve that.
Of course, every serverless service has its limitations, but if used wisely it can cover most of modern apps scenarios IMO, and then if your case is complex and needs fine-tuning, then maybe serverless is not for you and you should use something else :)
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All those things from medium article are true, but most of the limits are reasonable IMO :) I've never used dataloaders, but it's an interesting topic to investigate. Our team uses AppSync heavily, it's possible to create very non-trivial resolvers using VTL only, we are using it heavily with EalsticSearch and DynamoDB.
We are even using AppSync with Redshift (via Lambda), and there we use subscriptions to serve clients with long taking queries - this was the point of my comment, you surely CAN go 100% serverless with GQL subscription and Lambdas :)
Hey, that is really cool! Thank you for sharing. If the need arises for subscriptions at scale I know where to look :).
Yeah there are definitely still limitations. Not sure how much it has evolved since the update on the article as we just got started with it couple of months ago. It has been so far sufficient for our needs, but yeah data loader sounds like a lot more trickier problem, I'v yet to try to solve that.
Of course, every serverless service has its limitations, but if used wisely it can cover most of modern apps scenarios IMO, and then if your case is complex and needs fine-tuning, then maybe serverless is not for you and you should use something else :)