Serverless

Serverless computing abstracts away server management entirely. You write functions, deploy them, and the cloud provider handles provisioning, scaling, patching, and monitoring. When a request comes in, the provider spins up your function, executes it, and tears it down. You pay only for the compute time you use — if no requests come in, you pay nothing.

Popular serverless platforms include AWS Lambda, Vercel Functions, Cloudflare Workers, and Google Cloud Functions. Serverless databases like PlanetScale, Neon, and Convex extend the model to data storage. The key advantage is operational simplicity: no servers to manage, no capacity planning, no idle resources. The trade-offs include cold start latency, execution time limits, and vendor lock-in.

Serverless is the natural deployment model for AI agent systems. Agents do not run continuously — they activate when needed, execute their task, and shut down. This event-driven pattern maps perfectly to serverless functions. At Agentik {OS}, our agent infrastructure leverages serverless patterns extensively. Agent tasks are triggered by events (webhooks, schedules, user requests), execute on demand, and scale automatically. This keeps operational costs proportional to actual usage and eliminates the need to maintain always-on infrastructure for agents that may be idle 95% of the time.