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I wouldn't know. I use DynamoDB almost exclusively. These simply aren't considerations that occur with that product. It is true that it can be hard to size w
by themafia 8mo ago
I wouldn't know. I use DynamoDB almost exclusively. These simply aren't considerations that occur with that product.
It is true that it can be hard to size workloads into lambdas rather unusual CPU configuration; however, the real beauty of lambda is, you can just fork several parallel copies of your function. We can sometimes fork up to 250 instances just for a single "job."
If you're in the same boat we are where your workloads parallelize easily then Lambda has been incredibly cost effective for this use case.
- nijave 8mo agoWe're on k8s and a lot of our Lambdas are Docker images so it's fairly trivial to throw the same thing on k8s with a pod autoscaler for instances and cluster autoscaler to add nodes.