Scalability

Serverless computing makes it very easy to scale the application out by provisioning more compute power as required, and deallocating it when the demand is low. This allows developers to avoid the risk of failing their users during peak demand, while also avoiding the cost of allocating massive standby infrastructure.

This makes serverless computing particularly useful for applications experiencing inconsistent traffic. Let's take a look at the following examples:

  • An application used during sporting events: In this case, your application is likely to experience highly variable traffic loads, with a significant difference between high and low traffic. Serverless can help mitigate the complexity and cost of providing adequate service. ...

Get Serverless computing in Azure with .NET now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.