Over the past two decades, significant strides have been taken to ensure that developers can focus on writing code without worrying about the intricacies of the physical machine it will run on. Serverless computing represents the ultimate expression of this principle. With serverless computing, you’re freed from worrying about the underlying hardware or operating system, as the service provider handles everything for you. While the section has experienced fluctuations in interest, a recent forecast suggests that serverless computing is poised to reach a significant milestone: according to a current report, this emerging technology could potentially become a $50 billion market by 2031.
What’s serverless computing?
Serverless computing is a cloud-based deployment model where a provider dynamically provisions and manages the exact compute resources and storage required to run a specific application or function, eliminating the need for servers or fixed infrastructure. While some servers may still require attention, the provider takes care of provisioning and maintenance. Consumers are typically billed for the use of an asset, combined with maintenance costs, and may also face additional fees. In an ideal serverless scenario, there would exist no need for servers to manage or allocate resources in any capacity – no physical infrastructure, no virtual machines, and no reliance on containers. Serverless customers typically focus less on managing and maintaining servers, as well as handling software patches and uptime concerns.
Servers provide the infrastructure for processing and storing data in modern mobile applications. This typically involves setting up a backend server, which is usually housed within the cloud. When discussing serverless computing or serverless architectures, the typical understanding is that a customer crafts code that exclusively addresses business logic and deploys it with a provider. The supplier oversees comprehensive {hardware} configuration, virtual machine and container management, and optimizes complexities inherent in multithreaded software coding. What remains is to showcase the capabilities specifically designed to execute the application’s business logic.
