Serverless computing is a cloud-computing execution model where the cloud provider runs the server and manages the allocation of machine resources dynamically. The customer only pays for the compute time used to run their code, with no need to provision or manage any servers[1][2].
Some key characteristics of serverless include:
Automatic scaling - Serverless platforms automatically scale up or down based on the incoming traffic, with no need to manually provision resources[1][2]
Reduced operational costs - With serverless, you only pay for the compute time used to run your code, not for idle time. This can lead to significant cost savings compared to traditional server-based models[1][3]
Improved developer productivity - Serverless allows developers to focus on writing code without worrying about infrastructure management. This enables faster development cycles and time-to-market[2][3]
Common use cases for serverless include event-driven processing (e.g. IoT, real-time data streams), web applications, APIs, data processing, and ...
