[dbllxr]

> For us, increasing the memory for a Lambda from 128 megabytes to 2.5 gigabytes gave us a huge boost.

> The number of Lambda invocations shot up almost 40x.

One thing I've learned from talking to AWS support is that increasing memory also gets you more vCPUs per container.

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Serverless is great in scaling and handling bursts, but you may find it VERY difficult in terms of testing and debugging.

A while back I started using an open source tool called localstack[1] to mirror some AWS services locally. Despite some small discrepancies in certain APIs (which are totally expected), it's made testing a lot easier for me. Something worth looking into if testing serverless code is causing you headaches.

[1]https://github.com/localstack/localstack

[nikhilkuria]

Thanks! For testing on our local machines, we use SAM Local, https://aws.amazon.com/blogs/aws/new-aws-sam-local-beta-buil... . This has very similar capabilities as local stack. Still, there is always a delay from a service being released by AWS to it being available on tools like Serverless or AWS local.