Your code.
A running application.
Infralane is a cloud platform for hosting websites, APIs and background workers. Deploy from GitHub, a Docker image or a ZIP file. Manage your applications in the dashboard, or connect your AI agent.

See what deploying looks like.
Explore the same sample application in the dashboard and a scripted agent view.
field-notes-api
Web service · Node.js
field-notes-api.example.comExampleA shorter path from code to application.
Deployment puts your code on cloud infrastructure so it can run beyond your laptop. Here’s how it works on Infralane.
1. Bring your code.
Connect a GitHub repository, use a Docker image, or upload a ZIP of your application.
2. Choose how it runs.
Choose a resource pool: the CPU, memory and storage your project uses. Set your application’s runtime, commands and environment values.
Understand resource pools3. Deploy and follow along.
Follow deployment status, read build output, and inspect application logs when you need answers.
Explore applicationsYour applications.
In clear view.
Keep source, configuration and deployment history together. Move from an application to the details that explain its state.
Follow every deployment
See deployment history and inspect the build that produced your application.
Read the output
Use build and runtime logs to understand what happened and what to change.
Keep configuration close
Manage environment values, resource limits and application settings in one familiar interface.
Application listening on port 8080GET /health 200GET /notes 200Illustrative configuration and log output.
A cloud your agent
can work with.
Connect your coding agent through Model Context Protocol (MCP), a way for AI tools to work with other services. Let it prepare deployments and inspect applications. You choose its projects, permissions and access duration.
Use the dashboard when you want the full picture. Use your agent when you are already in the flow.
Choose the capacity.
Understand the cost.
Resource pools bring CPU, memory and storage together for your project. Configure the pool, then deploy applications into it.
Build a monthly estimate
A resource pool is a paid resource. Review its price in the dashboard before creating it.
Start with something
you can ship.
A website, an API, or a process that runs in the background. Pick what you’re building and follow a practical deployment guide.

Deploy a web service
Take an API or web application from source to a running service.
Open guidePublish a static site
Build your frontend and serve the files it produces.
Open guideRun a worker
Give background processes a place to keep working.
Open guideConnect your agent
Give an MCP-compatible client access to selected projects.
Open guide