Serverless Computing: Patterns, Pros, and Pitfalls Serverless computing lets developers run code without managing servers. You pay only for what you use, and the cloud provider handles capacity. Functions wake up to handle a request, run, and then go quiet. This model fits many modern apps, from web backends to data pipelines. It can speed development and reduce operations work, but it also changes how you design and test software. ...
Serverless Computing Concepts and Best Practices Serverless computing shifts the burden from managing servers to writing code. You run small functions in a managed environment, billed per invocation and per second of execution. This model fits variable traffic and rapid changes, but it needs careful design. Core ideas Stateless functions: each call should stand on its own. Event-driven triggers: HTTP requests, queues, storage events, or timers start work. Ephemeral compute: functions start, do a task, and stop; there is little to no idle time. Auto-scaling: platforms scale by demand. Shared services: separate storage, messaging, and observability tools keep modules decoupled. Think of your system as a collection of small, independent services that communicate through events. ...