How are FaaS / Serverless Architectures actually implemented at Cloud Providers

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How are the different FaaS or Serverless Architecture offerings of the major cloud providers effectively implemented in terms of backend and infrastructure?

  • AWS Lambda: Java, Node.js, C#, Python, binaries
  • Azure Functions: JavaScript, C#, Python, PHP, Bash, Batch, PowerShell
  • Google Cloud Functions: JavaScript

Google Cloud Functions seems to be based on a managed Node.js environment according to here: https://cloud.google.com/functions/docs/concepts/overview which seems to be different and a limiting factor.

AWS and Azure support a multitude of different runtimes which may look like an ideal docker use case? At least the underlying logical core concept is very close to process isolation/containerization respectively scaling of these which would lead us to Kubernetes/Mesos? It wouldn't be very efficient to invent custom solutions nowadays, wouldn't it?

Does anyone know what is at work behind the scenes?

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E.J. Brennan On

I had a discussion with an AWS Engineer a while back and he confirmed my suspicion that AWS Lambda is run's on top of docker. Can't comment on azure or google's infrastructure though...