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Serverless is more than a buzzword. Let's cut through the hype and see what it actually means, where it shines, and the myths worth dropping.

With serverless, you ship code and the cloud provider handles provisioning, patching, and capacity planning. No servers for you to babysit.

"Serverless" doesn't mean no servers exist. The provider still runs your code on servers — you just never have to manage them.

Serverless flips the cost model: you pay only for the compute time your code actually runs. No idle servers, no over-provisioning. 💰

Traffic surge? You don't add servers. Serverless auto-scales from a few requests to millions and back, seamlessly.

By hiding server management, serverless frees you to focus on application logic and features instead of ops. More time building.

Serverless isn't a silver bullet. It shines for event-driven, stateless work like APIs and data pipelines — less so for long-running processes.

Worried about vendor lock-in? Keep your core logic clean and modular, and lean on Infrastructure as Code to manage cloud resources.

Serverless rewards an agile approach: small, independent functions are quick to build, test, and deploy — so you iterate faster.

Which of the following are key characteristics or benefits of serverless computing?

You're in: serverless means no server management, built-in cost savings and auto-scaling, and more time on code. Next up — the AWS services that power it.