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A SaaS on predictable compute

Run your product on servers, Kubernetes and databases with a bill you can predict.

Servers and clusters provisioned in seconds, managed databases with point-in-time recovery, schedules and autoscaling so nothing idles, and budgets and caps that stop spend before the invoice does.

For Engineering, Platform, Finance

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Cloud console
From the list to one server's lifecycle in two clicks. Shown with demo data.

The situation

The product runs on a hyperscaler whose bill changes every month for reasons that take a week to explain. Development environments run all weekend and a database restore is a support ticket.

How it works

Step by step, and the product each step happens in.

  1. 01

    Run the application

    Servers with a full lifecycle from create to destroy, or managed and self-managed Kubernetes clusters with node pools that autoscale.

    In Kubernetes
    Cloud console
    The Kubernetes page in the cloud console, listing a managed production cluster and a self-managed analytics cluster with their version, region and state.The Kubernetes page in the cloud console, listing a managed production cluster and a self-managed analytics cluster with their version, region and state.
    Managed and self-managed clusters side by side, one resource each. Shown with demo data.

  2. 02

    Keep the data safe

    Managed PostgreSQL, MySQL, Redis and more, with replicas, failover and automated backups with point-in-time recovery.

    In Managed databases
    Cloud console
    The databases page in the cloud console, listing a highly available PostgreSQL database and a standalone MySQL database.The databases page in the cloud console, listing a highly available PostgreSQL database and a standalone MySQL database.
    Every engine in one list, each with its topology and version. Shown with demo data.

  3. 03

    Stop paying for idle

    Start and stop schedules for development servers, and autoscaling node pools for production.

    In Servers

  4. 04

    Know the price in advance

    Hourly and monthly metering per resource at published rates, with proration on resize exact to the cent.

    In Cloud prices

  5. 05

    Set the ceiling

    Budgets, hard caps and prepaid-only accounts; an empty balance alerts first and refuses new provisioning.

    In Pricing

What you get

  • Running in minutes

    From sign-up to a running server in under five minutes, with no human involved.

  • A bill that matches the plan

    Published rates per resource, metered hourly and prorated exactly.

  • Restores without a ticket

    Point-in-time recovery and failover drills are in the console.

The products involved

Questions, answered

Can we use our existing cloud accounts?

Managed Kubernetes can be provisioned across GKE, AKS, EKS, LKE, DOKS and others, alongside servers on the platform’s own substrate.

What happens when the balance runs out?

Low and empty alerts come first; then new provisioning is refused, and compute pauses after a grace period.

Related use cases

A SaaS on predictable compute · ProjectX