Deploy serverless functions on your own server instead of a cloud provider, using any programming language Docker supports.
Import and run existing AWS Lambda functions on Fn without rewriting them using Fn's Lambda compatibility layer.
Build a workflow that chains multiple Fn functions together using the Fn Flow companion project.
Requires Docker installed and running locally or on your server before any functions can be deployed.
Fn is an open-source platform that lets you run small, self-contained pieces of code called functions without managing the underlying servers yourself. This concept is called Functions-as-a-Service (FaaS): instead of running a full application server around the clock, you write a function that does one specific thing, deploy it, and the platform handles running it when needed. The platform is built around Docker containers, which are a standard way of packaging software so it runs consistently across different machines. Because every function runs inside a container, you can write your function in any programming language that Docker supports, including Go, Node.js, Java, Python, and others. Fn can run on your own computer, on a private server, or on any cloud provider, and it can also import functions written for Amazon's Lambda service and run them without changes. Getting started involves installing a small command-line tool, starting an Fn server locally, and then creating a function with one command that generates the project scaffold in your chosen language. From there, you create an app (which groups related functions together), deploy the function to that app, and invoke it. The whole cycle from setup to running a first function takes only a few minutes according to the quickstart guide. Fn is written in Go and is designed to be extensible. It ships with an embedded database and message queue for simple setups, with configuration options available for more complex deployments. Companion projects include a web UI, a flow system for chaining functions together, and a load balancer component. The project has a Slack community, a YouTube channel with tutorials, and documentation covering both developer and operator workflows.
← fnproject on gitmyhub — every repo by this author, as a profile.
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