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    Dagster | 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. Dagster, the open source data orchestration platform for building, running and observing data pipelines and assets, preinstalled in a virtual environment and run as the webserver and daemon services behind an authenticating nginx proxy with full WebSocket support. A demo project ships ready to run and a unique admin password is set on first boot.

    Overview

    Open image

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

    Overview Dagster is a fast, open source data orchestration platform for the development, production and observation of data assets. You define assets and jobs in plain Python and Dagster gives you a rich web interface to materialize them, schedule them, watch them run and inspect their lineage, with full visibility into every run. This image delivers Dagster fully installed in a dedicated virtual environment and run as system services, so a working orchestration platform is serving within minutes of launch.

    Application Stack Dagster installed into a dedicated Python virtual environment under /opt/dagster and run by an unprivileged service account. The Dagster instance directory, holding the instance configuration and the run, event and schedule storage, stored on a dedicated data disk so it is independently resizable. Two systemd services: the webserver that serves the UI and the GraphQL API, and the daemon that drives schedules, sensors and the run queue. An nginx reverse proxy that publishes the UI on port 80 behind HTTP Basic authentication, with the WebSocket upgrade the UI needs to render fully.

    Ready To Run Demo Project A demo Dagster project ships at /opt/dagster/demo: a handful of software-defined assets and a job, with a workspace file the webserver loads on start. It shows what a Dagster project looks like out of the box and gives you a working example to learn from. Point the workspace at your own code location and restart the services to go live.

    Secure First Boot On the first boot of your instance a one shot service generates a fresh admin password, unique to that instance, writes it into the nginx credentials file and writes the password to a root only file. The Dagster webserver itself binds to loopback only and is never exposed without authentication. No shared or default credentials ship in the image.

    Full WebSocket Support The Dagster UI streams live run and event updates over a GraphQL websocket. The bundled nginx proxy forwards the WebSocket upgrade and connection headers, so the UI loads and updates live behind authentication instead of hanging on a loading screen. The webserver info endpoint is reachable for monitoring.

    cloudimg Support 24/7 technical support by email and chat. Help with deployment, defining assets and jobs, code locations and workspaces, scheduling and sensors, swapping the SQLite instance storage for PostgreSQL, TLS and performance tuning.

    Use Cases Data pipeline and ELT orchestration. Software-defined asset management and lineage. Scheduled and event-driven data jobs. A self hosted control plane for analytics and machine learning workflows. A single-node Dagster deployment for development, demos and small teams.

    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

    • Dagster preinstalled in a dedicated Python virtual environment and run as the webserver and daemon systemd services behind an authenticating nginx proxy with full WebSocket support, serving a ready-to-run demo project on port 80, no manual setup required
    • Define assets and jobs in plain Python and materialize, schedule, run and observe them from the web interface; the Dagster instance directory lives on a dedicated independently resizable data disk with default SQLite storage and no external database
    • Hardened first boot generates a fresh admin password for every instance and stores it in a file only the root user can read, the webserver binds to loopback only, with 24/7 technical support from cloudimg

    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.

    Dagster | 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.large
    Recommended
    t3.large
    $0.08
    t2.micro
    t2.micro instance type
    $0.04
    t3.micro
    t3.micro instance type
    $0.04
    m5a.large
    m5a.large instance type
    $0.08
    r5dn.24xlarge
    r5dn.24xlarge instance type
    $0.24
    r8ib.metal-96xl
    r8ib.metal-96xl instance type
    $0.24
    c8ine.xlarge
    c8ine.xlarge instance type
    $0.12
    m5ad.xlarge
    m5ad.xlarge instance type
    $0.12
    m6idn.32xlarge
    m6idn.32xlarge instance type
    $0.24
    m7i.2xlarge
    m7i.2xlarge instance type
    $0.24

    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 Dagster 1.13.10 with a ready-to-run demo project, the webserver and daemon services and an authenticating nginx proxy.

    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 Dagster UI is served on port 80: browse to http://<instance-public-ip>/ and sign in with user admin and the generated password. Retrieve the credentials with: sudo cat /root/dagster-credentials.txt. nginx reverse-proxies port 80 to the Dagster webserver on 127.0.0.1:3000 (with the GraphQL WebSocket upgrade the UI needs) behind HTTP Basic auth; the daemon (schedules, sensors, run queue) runs alongside it. A demo project ships at /opt/dagster/demo; point the workspace at your own code and restart: sudo systemctl restart dagster-webserver.service dagster-daemon.service. Install extra Python packages into the bundled virtual environment with: sudo /opt/dagster/venv/bin/pip install <package>. The Dagster instance directory DAGSTER_HOME, including the run and event storage, lives on a dedicated data disk mounted at /var/lib/dagster.

    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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