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I can't give a definitive answer as I'm not very familiar with Flex. But a lot of Google folks with App Engine backgrounds are working on Knative.

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Indeed. Much of what we open sourced in Knative came from what we learned from running GAE and GCF. Which is important: this isn't a side project for us, this is based on real-world experience doing it at scale for huge customers. You don't run a serverless stack for 10+ years without taking away a few lessons. : )

When do you run into rate limiting for scaling up ? We all call it serverless but somewhere there are servers you are using and they dont magically appear from nowhere.

Yep, no free lunch. Scaling up has a few different "cliffs". To outline a few: 1. Existing pod scheduled and ready (fastest) 2. Room on existing node (so no docker pull needed) 3. Room on existing cluster (so no VM creation needed) 4. No room, need to increase cluster size.

Optimizing 1-3 is very much in scope for the Knative project. Optimizing (4) is a provider problem and will vary by provider.

The Knative Scaling working group is discussing this every week on Wednesdays and that meeting is open to the public. We also keep good notes linked from our community page: https://github.com/knative/docs/blob/master/community/WORKIN...

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