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Cloud hosting for developers

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.

A laptop displaying application source code on a desk
Write your code locally. Give it a home in the cloud.Arnold Francisca / Unsplash

See what deploying looks like.

Explore the same sample application in the dashboard and a scripted agent view.

Interactive example
Applications / field-notes-api

field-notes-api

Web service · Node.js

Running
Application endpointfield-notes-api.example.comExample
Source field-notes / main
Latest deploymentDeployment #42
Resource poolDevelopment pool
Application limits
0.5 CPU cores512 MB memory8080 Listening port
Deployment completed. Your application is available.Sample event
Application available. Sample walkthrough only.
One application. Two ways to work.Explore a sample deployment above.

A 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.

GitHubDockerZIP

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 pools

3. Deploy and follow along.

Follow deployment status, read build output, and inspect application logs when you need answers.

Explore applications

Your 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.

Take a closer look
field-notes-apiExample application
Running
Deployment #42main · Node.js
Runtime configuration0.5 CPU cores · 512 MB · port 8080
Runtime outputApplication listening on port 8080GET /health 200GET /notes 200

Illustrative 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.

MCP connectionScoped access
Your agentMCP-compatible client
Your projectsSelected by you
Inspect applications
Prepare deployments
Read build and runtime logs
Project selection · permissions · expiry · revocation

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
Rows of server racks with cables and equipment inside a data centre
Inside the cloud: computing hardware. Illustrative photo.Kevin Ache / Unsplash
CPURuns your application’s code
MemoryHolds data while it runs
StorageKeeps your project’s files

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.

People working together around a table with laptops and code on their screens
From the work on your laptop to something others can use.Annie Spratt / Unsplash

A few things
to know.

More questions, answered