Kedge
Globally distributed cloud with forkable VM snapshots, deployed over SSH or Git
About Kedge
Kedge is a globally distributed cloud platform that treats SSH as a first-class deploy interface — the quickstart is literally piping a Markdown file into `ssh kedge.dev` and getting a live URL back. Underneath it runs hardware-isolated microVMs with a full Linux kernel rather than a constrained serverless runtime, so anything that runs on Linux runs on Kedge: static sites, serverless functions, full-stack apps, and long-lived processes. Two design choices set it apart from the usual edge-platform pitch. The first is that a global SQLite database and a shared filesystem are built into every app rather than bolted on as a paid add-on, and persistent local volumes are continuously backed to object storage, so state is not something you have to externalize to a third-party database before the first deploy. The second is forkable VM snapshots — you can branch a running machine, which is what makes per-PR preview environments and instant sandboxes cheap instead of a full cold rebuild. Autoscaling places instances near your users and scales to zero when idle. Access is deliberately triple-headed: SSH, Git, and an HTTP API, which the docs frame as being for CLI power-users and AI agents equally — an agent can drive a deploy without a browser session. GitHub integration gives push-to-deploy and preview environments per pull request, and a built-in CDN serves cached and static content from every edge.
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Key Features
Kedge Pros & Cons
✅ Pros
- +Per-second billing on consumed rather than allocated resources
- +Database and filesystem included instead of sold separately
- +SSH and HTTP APIs make it drivable by agents, not just humans
⚠️ Cons
- −Credits model means cost forecasting takes some arithmetic
- −Global SQLite is a different mental model than a managed Postgres
- −Small, young platform compared to the incumbent PaaS options
Who Is Kedge Best For?
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