#ServerlessFuture
Serverless doesn’t mean "no servers"—it means developers focus on code while cloud providers manage infrastructure, scaling, and maintenance automatically.
#NoServers
Organizations save big by paying only for actual compute time (millisecond billing) vs. idle server costs—ideal for sporadic workloads.
#PayAsYouGo
Serverless platforms (AWS Lambda, Azure Functions) automatically scale up/down during traffic surges, eliminating over-provisioning headaches.
#ScaleInstantly
Developers deploy code faster by skipping server setup, OS patches, and capacity planning—focusing purely on business logic.
#DevelopFaster
Serverless shines for event-driven use cases: processing file uploads, stream data, IoT signals, or API calls without managing queues.
#EventDriven
Latency from "cold starts" and dependency on cloud providers’ ecosystems remain key hurdles—hybrid approaches may help.
#ServerlessTradeoffs