● Covered by 1 source · 1 reportLow impact1 positive
Kedge Launches Cloud Platform with Forkable VM Snapshots and Global SQLite
Key points
- Globally distributed cloud platform with hardware-isolated VMs.
- Includes instant sandboxes, global SQLite, and shared filesystem.
- Autoscaling to zero when idle, with per-second billing.
- Offers a $5/month free tier for small applications.
Platform Overview
Kedge has launched a new cloud platform designed for full-stack applications, static sites, and serverless functions. The platform emphasizes global distribution, deploying applications close to users, and features hardware-isolated virtual machines running a full Linux kernel.
Key Features
The platform includes instant sandboxes and scale-out capabilities. It integrates a global SQLite database and a shared filesystem directly into every application. Persistent local volumes are continuously backed by object storage. Kedge also provides public HTTPS endpoints, private networking, custom domains, and a built-in CDN for cached and static content.
Autoscaling and Deployment
Kedge's autoscaling feature spins up instances near users and scales down to zero when applications are idle. Deployment options include SSH, Git, and HTTP APIs for CLI users, as well as GitHub integration for push-to-deploy and per-PR preview environments.
Pricing Model
The billing model is per-second, based on actual resources consumed rather than allocated capacity. CPU is billed for scheduled milliseconds, memory for active resident pages, and storage for bytes used. Idle applications scale to zero and incur costs only for storage. A $5/month free tier is available, sufficient for running a small website or development box.
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Reporting from
Kedge introduced a new cloud platform offering globally distributed, hardware-isolated VMs with features like instant sandboxes, a global SQLite database, and autoscaling. This platform aims to provide a full-stack cloud environment for static sites, serverless functions, and applications, billing users per-second on actual resource consumption.