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Kedge

Globally distributed cloud with forkable VM snapshots, deployed over SSH or Git

freemiumCredits-based, billed per second on resources actually consumed: $15/vCPU-month CPU, $5/GB-month memory, $0.05/GB-month storage, $0.01/GB egress. $5/month free tier. Idle apps scale to zero and pay only for storage.View full pricing →

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.

Key Features

Hardware-isolated VMs with a full Linux kernel
Forkable snapshots and instant sandboxes
Global SQLite plus a shared filesystem in every app
Persistent volumes backed by object storage
SSH, Git and HTTP deploy APIs
Push-to-deploy with per-PR preview environments

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?

👤Developers who want a full Linux VM without managing servers
👤Teams that need cheap per-PR preview environments
👤Agent workflows that deploy over SSH or HTTP instead of a dashboard

Tags

hostingdeploymentsqlitemicrovmsshedge
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