Serverless computing allows for the building and running of applications and services without thinking about server machines, storage appliances, and arrays and networking solutions. Serverless applications don't require developers to provision, scale, and manage any IT resources to handle serverless applications. It is possible to build a serverless application for nearly any type of applications or backend services. The scalability aspect of serverless applications is being taken care of by cloud service and resource providers. Any spike in load is being closely monitored and acted upon quickly. The developer doesn't need to worry about the infrastructure portions. That is, developers just focus on the business logic and the IT capability being delegated to the cloud teams. This hugely reduced overhead empowers designers and developers to reclaim the time and energy wasted on the IT infrastructure plumping part. Developers typically can focus on other important requirements, such as resiliency and reliability.

The surging popularity of containers comes in handy when automating the relevant aspects to have scores of serverless applications. That is, a function is developed and deployed quickly without worrying about the provisioning, scheduling, configuration, monitoring, and management. Therefore, the new buzzword, FaaS, is gaining a lot of momentum these days. We are moving toward NoOps. That is, most of the cloud operations get automated through a host of technology solutions and tools, and this transition comes in handy for institutions, individuals, and innovators to deploy and deliver their software applications quickly.

On the cost front, users have to pay for the used capacity. Through the automated and dynamic provisioning of resources, the resource utilization goes up significantly. Also, the cost efficiency is fully realized and passed on to the cloud users and subscribers. 

Precisely speaking, serverless computing is another and additional abstraction toward automated computing and analytics.