Serverless architecture and FaaS (e.g., AWS Lambda, Azure Functions, Google Cloud Functions) let developers run on-demand functions without managing servers, delivering pay-per-use savings, agility, and autoscaling for real-time data, background tasks, and APIs; challenges include cold starts, duration caps, and vendor lock-in; an e-commerce order-processing example highlights the shift to event-driven apps.
Serverless computing and FaaS let developers focus on code while platforms like AWS Lambda, Azure Functions and Cloud Functions manage infrastructure, delivering auto-scaling, pay-per-use costs and rapid deployment. Real-world uses span image processing, real-time analytics and IoT (e.g., smart parking). Key trade-offs include cold starts, execution limits and vendor lock-in, pushing event-driven, cloud-native design patterns.
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