Blog - Vercel
6/30/2026
Introduces the capability for Vercel to execute any HTTP server defined within a Dockerfile, expanding deployment options to include a wider range of backend frameworks.
Blogs›Vercel›Dockerfile Support
Dockerfile Support
5
posts
2024–2026
Vercel supports running any HTTP server directly from a Dockerfile, enabling deployment of applications built with frameworks like Rails, Django, Spring Boot, and Go. This feature leverages Fluid compute for autoscaling and active CPU pricing, with optimized boot images for fast startup. Containers are treated as first-class citizens, integrating with the Vercel platform for builds, storage, deployment, and observability. This extends Vercel's capabilities to support a wider range of backend app. Ozone, a web-based video editing platform, migrated from Heroku to Vercel, experiencing a 5x increase in development speed and an 85% decrease in build times. This migration improved load times for their React and WebAssembly-heavy application, enabling faster iteration and independent feature deployment through Vercel's collaboration features. Ozone also integrated AI functionality, leveraging Vercel's AI Integrations and AI SDK for seamless API integration and deployment.
2026
Run any Dockerfile on Vercel
6/30/2026
This post details the technical implementation of running arbitrary Dockerfiles on Vercel. It explains the workflow involving a `Dockerfile.vercel` file, Vercel's build and storage process on Fluid compute, and the autoscaling and active CPU pricing benefits. It highlights the use of optimized boot images for fast container startup by streaming and decompressing snapshots on demand. The post also discusses the stateless nature of containers and the integration with Vercel's platform primitives, including networking and potential future durable storage. It positions Dockerfile support as a universal deployment method for services not covered by framework detection.
How General Intelligence used agents to build an agent platform on Vercel | Customers | Vercel
5/4/2026
This post details how General Intelligence migrated their Python backend to Vercel, enabling their agent platform to drive deployments, configurations, and compute across their full stack. It highlights the unification of their platform onto Vercel's CLI, API, and observability layer, and how this facilitates multi-tenant application deployment with automated provisioning, domain management, SSL, and DNS handling for each customer. The post also emphasizes the use of preview environments and browser agents for testing, mirroring the internal development workflow.
How OpenEvidence built a healthcare AI that physicians actually trust | Customers | Vercel
2/25/2026
This post details how OpenEvidence, a healthcare AI company, successfully scaled their Next.js frontend on Vercel to handle viral traffic without compromising reliability. It highlights Vercel's ability to automatically scale with usage, the benefits of Fluid compute leading to a 90% reduction in serverless spend, and how Vercel's platform facilitated rapid prototyping and deployment for a small frontend team. The post emphasizes the trust and invisibility of Vercel's infrastructure in meeting hospital-grade reliability standards.
2024
Revolutionizing video editing on the web with Next.js and Vercel | Customers | Vercel
3/20/2024
This post details Ozone's migration from Heroku to Vercel, highlighting a 5x increase in development speed and an 85% decrease in build times. It emphasizes how Vercel's platform, particularly its developer experience features like branch deployments and comments, facilitated faster iteration and collaboration for Ozone's complex React and WebAssembly application. The post also touches upon Ozone's integration of AI features, facilitated by Vercel's AI Integrations and AI SDK.