Introduction to Models as Serverless Functions

Serverless functions

Serverless technologies enable developers to write and deploy code without needing to worry about provisioning and maintaining servers. One of the most common uses of this technology is serverless functions, which makes it much easier to author code that can scale to match variable workloads. With serverless function environments, you write a function that the runtime supports, specify a list of dependencies, and then deploy the function to production. The cloud platform is responsible for provisioning servers, scaling up more machines to match demand, managing load balancers, and handling versioning.

Prototype to production

Since we’ve already explored hosting models as web endpoints, serverless functions are an excellent tool for rapidly moving from prototype to production for your predictive models.