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Case studies

How small teams deploy into customer AWS.

Four common requests, and how Deployz handles each. These are example scenarios, not named customer stories.
One release of your app installs into each customer's own AWS account. Each account shows its own status: live, updating, or waiting for the customer to connect.

Case studies

  • Small SaaS team

    Focus on features, not infrastructure.

    The situation
    A customer will sign only if your app runs in their AWS account. Your team has no DevOps engineer.
    With Deployz
    Connect GitHub, fix what the readiness report flags, build a release, and send an installation link. Deployz sets up the network, containers, database, and HTTPS in their account.
    • One release process for every customer
    • No dedicated DevOps hire to start

  • Indie developer

    Ship more, manage less.

    The situation
    You run your SaaS alone. A larger customer wants a dedicated install in their own AWS account.
    With Deployz
    Test the deployment for free in your own AWS account, then send the installation link. Start updates and rollbacks from Deployz.
    • Free readiness report and test deployment
    • Pay only when you deploy for customers

  • AI product builder

    Your AI app. Their AWS.

    The situation
    Your AI app processes customer documents. The customer's security team wants the app and its data in their account.
    With Deployz
    Deploy the app with its database and S3 storage in their account. Per-customer secrets, such as model API keys, go to their Secrets Manager. Your app still calls the model APIs you choose.
    • PostgreSQL 16 or MySQL 8.0, and S3 for documents
    • Secrets in the customer's Secrets Manager

  • AI agent developer

    Build the agent. Skip the deployment plumbing.

    The situation
    Your agent has an API and background workers. Each customer wants it running in their own AWS account.
    With Deployz
    Ship one container image. Deployz runs the API and the workers as separate services, with a Redis-compatible cache. Agents call hosted model APIs over outbound HTTPS.
    • Background workers from the same image
    • No GPU or self-hosted models

What you can build

Customer-hosted SaaS
Offer an install in the customer’s AWS account next to your hosted SaaS.
Dedicated environments
Give each customer their own app, database, and network, updated on your schedule.
Data-sensitive applications
Keep the database, cache, and files in the customer's account. Your integrations still decide where other data goes.

Is Deployz right for you?

Deployz is built for software vendors, not general AWS hosting. Check compatibility before you promise a customer a private installation.

Check compatibility

A good fit when

  • You sell B2B software and some customers need it in their own AWS account
  • Your app ships as one container image from a Dockerfile
  • You want the same release process for every customer

Not a fit when

  • Customers need on-premises or another cloud
  • Your app needs Kubernetes, serverless, GPUs, or several separate images
  • You must deploy into an existing customer VPC

Have a customer asking for their own AWS?

Connect GitHub and see what your app needs.

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