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    Medusa | Support by cloudimg

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    Sold by: cloudimg 
    Deployed on AWS
    Free Trial
    AWS Free Tier
    This product has charges associated with it for seller support. Medusa, the open source headless commerce platform, preinstalled as a system service with the built-in Admin dashboard and the Store and Admin REST APIs published on port 80 behind an nginx proxy, co-located with PostgreSQL and Redis. A unique admin user is generated on first boot. Backed by 24/7 cloudimg support.

    Overview

    Open image

    This is a repackaged open source software product wherein additional charges apply for cloudimg support services.

    Overview Medusa is a flexible open source headless commerce platform built on Node.js and TypeScript. It provides a modular commerce engine with Store and Admin REST APIs and a built-in Admin dashboard, so you can build storefronts, marketplaces and B2B commerce experiences with full control over your data. This image delivers Medusa fully installed and configured as a system service, with PostgreSQL and Redis co-located, so a production grade commerce backend is running within minutes of launch.

    Application Stack The Medusa server and the built-in Admin dashboard installed under a dedicated service account and run as a systemd service. PostgreSQL holding the commerce data and Redis backing the workflow engine, the event bus and the cache, both co-located on the instance. The project, the built server output and the PostgreSQL data directory stored on a dedicated data disk so the store is independently resizable. An nginx reverse proxy that publishes the Admin dashboard and the Store and Admin APIs on port 80.

    Headless Commerce Engine Model products, variants, prices, regions, inventory, orders, customers, promotions and fulfilment through the Admin dashboard or the Admin REST API, and serve any storefront over the Store REST API. Medusa is modular, so you can extend it with custom modules, subscribers and workflows, and its durable workflow engine, backed by Redis, retries long running commerce operations reliably.

    Secure First Boot On the first boot of your instance a one shot service generates a fresh admin password, unique to that instance, rotates the database password, the JWT secret and the cookie secret, creates the administrator account and writes the password to a root only file. The server binds to loopback only and is never exposed without authentication. No shared or default credentials ship in the image.

    Ready To Use The Admin dashboard is served on port 80 at the /app path through nginx. Sign in with the generated administrator credentials to manage your catalogue, orders and customers. Point your storefront at the instance on port 80 and call the Store API at /store; automate with the Admin API at /admin behind the same authentication.

    cloudimg Support 24/7 technical support by email and chat. Help with deployment, storefront integration, the Admin and Store APIs, custom modules and workflows, PostgreSQL and Redis tuning, region and currency setup, and TLS.

    Use Cases Headless ecommerce backends for custom storefronts. Marketplaces and multi-vendor commerce. B2B and B2C commerce experiences. A self-hosted, data-owned alternative to hosted commerce SaaS. A foundation for bespoke commerce workflows and integrations.

    All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.

    Highlights

    • Medusa headless commerce platform preinstalled as a systemd service with the built-in Admin dashboard and the Store and Admin REST APIs published on port 80, no manual setup required
    • PostgreSQL and Redis co-located on the instance with the commerce database and the project on a dedicated independently resizable data disk, and a durable Redis-backed workflow engine
    • Hardened first boot generates a fresh admin user and rotates the database, JWT and cookie secrets for every instance and stores the password in a root only file, with 24/7 cloudimg support

    Details

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    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 24.04

    Deployed on AWS
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    Pricing

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    Try this product free for 7 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.

    Medusa | Support by cloudimg

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.
    If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier  for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier  for more details.

    Usage costs (800)

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    • ...
    Dimension
    Description
    Cost/hour
    t3.medium
    Recommended
    t3.medium
    $0.06
    t2.micro
    t2.micro instance type
    $0.04
    t3.micro
    t3.micro instance type
    $0.04
    c5a.12xlarge
    c5a.12xlarge instance type
    $0.24
    c5a.16xlarge
    c5a.16xlarge instance type
    $0.24
    c5a.24xlarge
    c5a.24xlarge instance type
    $0.24
    c5a.2xlarge
    c5a.2xlarge instance type
    $0.24
    c5a.4xlarge
    c5a.4xlarge instance type
    $0.24
    c5a.8xlarge
    c5a.8xlarge instance type
    $0.24
    c5a.large
    c5a.large instance type
    $0.08

    Vendor refund policy

    Refunds available on request.

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    Usage information

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    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    Initial release of Medusa 2.16.0 headless commerce platform.

    Additional details

    Usage instructions

    Connect via SSH on port 22 as the default login user for your operating system variant (the user guide lists it per variant). The Medusa Admin dashboard is served on port 80 at the /app path: browse to http://<instance-public-ip>/app and sign in with the generated administrator email and password. Retrieve the credentials with: sudo cat /root/medusa-credentials.txt. The Store REST API is served at http://<instance-public-ip>/store and the Admin REST API at http://<instance-public-ip>/admin behind the same login; obtain an admin JWT by POSTing a JSON body of email and password to http://<instance-public-ip>/auth/user/emailpass. The Medusa project, the built server output and the co-located PostgreSQL data directory live on a dedicated data disk mounted at /opt/medusa.

    Resources

    Vendor resources

    Support

    Vendor support

    cloudimg provides 24/7 technical support for this product by email and live chat. Our engineers help with deployment, configuration, updates, performance tuning and troubleshooting; critical issues receive a one hour average response. Contact support@cloudimg.co.uk .

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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