Summary
Highlights
Serverless doesn't mean there are no servers; it means you're not responsible for managing or provisioning them. The cloud provider handles the infrastructure, allowing developers to focus solely on writing business logic. This represents an evolution in deployment models, moving towards greater business focus and less stack implementation control.
The video traces the evolution of deployment models. It starts with 'bare metal,' where users managed all server configurations. Next came 'virtual machines,' which optimized resources but still required OS installation and patching. 'Containers,' popularized by Docker, simplified deployment by packaging code and dependencies, though scaling and management became challenges. Finally, 'serverless' abstracts away almost all underlying infrastructure.
Serverless primarily operates through 'Functions as a Service' (FaaS), a compute platform where single units of deployment (functions) are run based on events. An event-driven architecture, supported by cloud providers, allows various services (databases, IoT) to emit events that trigger these functions. While powerful, serverless can have drawbacks like timeouts for long-running processes and potential latency issues due to stateless containers.
An example illustrates serverless: a user uploads an image, creating an event. This event invokes a function that resizes the image and stores it. This simplified scenario demonstrates how FaaS enables building applications in a serverless environment.
Key benefits of serverless include paying only for execution, eliminating idle time, and offering cost efficiency. It's auto-scalable, with cloud providers managing scaling. This leads to faster time to market as developers focus on app building. Serverless also supports a 'polyglot environment,' allowing code in various languages. Lastly, serverless apps are highly available, with cloud providers ensuring fault tolerance and uptime across multiple zones.