Vercel's platform provides speed, reliability, and the convenience of not having to worry about setting up and maintaining your own infrastructure. Deployments start with code written in one of the over 35 frameworks supported by Vercel or using the Build Output API. The deployment process triggered from the CLI starts with two API requests: uploading project files to a scalable data storage service and creating the deployment. Before the deployment can be created, Vercel authenticates the user and inspects the request to confirm its authenticity and the user's permission. If everything checks out, the deployment gets scheduled for building, which transforms the project into a Vercel deployment by executing a "builder" on the source code. The build container creates a build output that runs on one of Vercel's supported runtimes, provisions resources such as Serverless Functions and optimized images, and updates the deployment's status. Once the necessary resources have been provisioned, a Deployment database document is created and the deployment metadata is uploaded to static storage. When a user requests a website hosted on Vercel, it first performs a DNS lookup to find the IP address, which always resolves with an anycast IP address owned by Vercel. The request then enters Vercel's Kubernetes cluster, where it is inspected and filtered for malicious users, routed to a virtual machine serving as a reverse proxy, and modified if Vercel Edge Middleware is enabled. The response phase serves static resources, triggers Serverless Function execution for dynamic content, invokes Edge Function execution at the edge, and optimizes images on-the-fly. By deploying to Vercel, developers can streamline and simplify their deployment process without worrying about setting up and maintaining their own infrastructure, optimizing deployments for global performance and accessibility, and improving the developer experience and iteration speed of their product.