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AWS Lambda Cold Start Times

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Re: AWS Lambda Cold Start Times

#4
At my last job we built an entire API on top of serverless. One of the things we had to figure out was this cold start time. If a user were to hit an endpoint for the first time, it would take 2x as long as it normally would at first. To combat this we wrote a "runWarm" function that kept the API alive at all times.

Sure kind of defeats the purpose of serverless but hey, enterprise software.

Re: AWS Lambda Cold Start Times

#5
We run a few .net core lambdas and a few things that make a big difference for latency. 1. pre-jit the package, this reduces cold start times as the JIT doesn't need to run on most items. Still does later to optimize some items. 2 is sticking to the new .net json seralizer. The reference code uses both the new and old newtsonsoft package. The old package has higher memory allocations as it doesn't make use of the Span type.

Re: AWS Lambda Cold Start Times

#8

At my last job we built an entire API on top of serverless. One of the things we had to figure out was this cold start time. If a user were to hit an endpoint for the first time, it would take 2x as long as it normally would at first. To combat this we wrote a "runWarm" function that kept the API alive at all times. Sure kind of defeats the purpose of serverless but hey, enterprise software.

> To combat this we wrote a "runWarm" function that kept the API alive at all times.

This doesn't really work like you'd expect and isn't recommended, as it only helps a particular use-case. The reason is that AWS Lambda will only keep a single instance of your function alive. That means if two requests come in at the same time, you'd see a cold start on one of those invocations.

Instead, you want to look at something like provisioned concurrency.

Re: AWS Lambda Cold Start Times

#10

At my last job we built an entire API on top of serverless. One of the things we had to figure out was this cold start time. If a user were to hit an endpoint for the first time, it would take 2x as long as it normally would at first. To combat this we wrote a "runWarm" function that kept the API alive at all times. Sure kind of defeats the purpose of serverless but hey, enterprise software.

Is there any guarantee of maximum startup time, or is there some upper timeout bound that you always have to anticipate in the worst case?
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