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Serverless computing is a cloud model where developers run code or services without managing the underlying servers directly. IBM describes it as an application development and execution model that lets developers build and run code without provisioning or managing servers or back-end infrastructure.
Serverless computing is not literally a world with no servers. The servers still exist, but the cloud provider handles more of the infrastructure work behind the scenes.
That means developers can focus more on application logic and less on server setup, patching, and capacity planning.
In a serverless model, code is usually triggered by events, requests, schedules, or service integrations. The cloud platform allocates the needed resources when the code runs.
This makes it easier to scale certain workloads automatically, especially those that are bursty or event-driven.
Serverless matters because it can reduce operational overhead for the right kinds of workloads, especially APIs, automation, background jobs, and event-driven systems.
It also matters because many modern cloud applications mix serverless services with traditional infrastructure.
A common misconception is that serverless means no infrastructure thinking at all. In reality, architecture, permissions, cost control, and design still matter.
Another misconception is that serverless is always the best option. Some workloads fit it well, while others may be better on containers or virtual machines.
It is a cloud approach where you run code without managing the underlying servers directly.
No. The servers still exist, but the provider manages more of them for you.
Serverless Computing is easier to understand when you connect it to nearby ideas instead of reading it in isolation.
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This matters because cloud concepts affect hosting, scalability, deployment, storage, cost, reliability, and how modern online systems are built and operated.
This page is useful for beginners, developers, business owners, and technical learners trying to understand modern infrastructure and hosted services.
After this page, read a related cloud topic like cloud computing, object storage, containers, serverless, or cloud platforms.
It usually describes a hosted service, infrastructure pattern, or scaling concept used in modern cloud environments.
Because it helps explain how websites, apps, and backend systems are deployed and managed at scale.
Use the related hub, related pages, or site search to continue through connected explanations.