Serverless computing is a cloud computing execution model in which the cloud provider allocates machine resources on demand. It scales with demand automatically while significantly reducing server cost because you don't pay for idle. You no longer have to worry about infrastructure maintenance and only on building your application.

Set different access for different users. Allow your developers to have access to create applications and your operations to manage the deployment.

Definitely! We use public cloud serverless platforms to deliver your serverless applications or services from a single region to high performance global deployment seamlessly.

ML-Policy Driven. Deploy your code using policies that are driven by a platform that knows where to best run your function based on the criteria that is important to you (performance/cost).

There's no vendor lock-in with us, not even to our own platform. Your function deployment will always have a migration path and can be run independently outside the platform if you decide to take us out of the equation. We will publish articles about how to achieve this, and help you to do so if required.

We want developers to be able to adopt serverless with minimal changes about the way they are thinking about their code.

Sure! Please contact us if you have questions with your business case to support technologies outside our current support.

Supporting additional platform vendors is a matter of just a matter of extending our codes. We want to make sure that we have a solid understanding about the business requirements before we can build the support for it!