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    Prefect Python Workflow Orchestration | 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. Self-hosted Prefect orchestration server ready in minutes - no manual setup. Build resilient Python data workflows with retries, scheduling, and a live UI. 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.

    Launch a Self-Hosted Prefect Orchestration Backend in Minutes

    Skip hours of manual configuration. This AMI delivers a fully installed Prefect server - the open source Python workflow orchestration platform - running as a production-ready system service with an authenticated web UI. Launch an instance, retrieve your unique admin password, and start orchestrating data workflows immediately.


    Why This AMI Instead of a Manual Install

    Setting up Prefect server manually on a bare EC2 instance means installing Python dependencies, configuring a reverse proxy, handling WebSocket upgrades for the live dashboard, securing the API endpoint, and managing service restarts. This AMI eliminates that entire process:

    • Zero-to-dashboard in minutes vs. hours of manual configuration
    • Authenticated by default - unlike a bare 'prefect server start' that exposes the API without credentials
    • Dedicated data disk - resize storage independently without re-provisioning the instance, unlike root-volume installs
    • No external database required - the embedded SQLite metadata store removes the cost and complexity of provisioning PostgreSQL
    • Production service management - systemd restarts the server on failure automatically

    Application Stack

    • Prefect server installed in a dedicated Python virtual environment under /opt/prefect, run by an unprivileged service account
    • Server data directory (SQLite metadata database, logs, storage) on a dedicated data disk for independent resizing
    • systemd service that starts the server on boot and restarts on failure
    • nginx reverse proxy publishing the server API and web UI on port 80 behind HTTP Basic authentication with full WebSocket upgrade support for the live dashboard

    Workflow Orchestration Capabilities

    Write flows and tasks in plain Python, then schedule, run, and monitor them with:

    • Automatic retries and state handling
    • Caching and concurrency limits
    • Event-driven automations
    • Work pools and deployments
    • Live observability UI showing every run, its logs, and its state

    A single node delivers a complete orchestration backend with no external dependencies to manage.


    Security by Default

    On first boot, a one-shot service generates a fresh admin password unique to that instance, writes it into the nginx credentials file, and stores it in a root-only file. The Prefect server binds to loopback only and is never exposed without authentication. No shared or default credentials ship in the image - unlike many community AMIs that rely on published default passwords.


    Full WebSocket Support

    The Prefect UI streams live updates over a WebSocket connection. The bundled nginx proxy forwards WebSocket upgrade and connection headers, so the dashboard updates flow-run states and logs in real time behind authentication. The health endpoint remains reachable for external monitoring.


    Use Cases

    • Self-hosted orchestration for data pipelines and ETL
    • Scheduling and monitoring Python batch jobs
    • Machine learning training and inference pipelines
    • Event-driven automations
    • A private, single-node Prefect backend for teams that do not want a hosted control plane

    cloudimg Support

    24/7 technical support by email and live chat. Our engineers help with deployment, connecting workers and deployments, work pools, scheduling, TLS configuration, authentication, and performance tuning. Critical issues receive a one-hour average response.


    Getting Started

    1. Launch the AMI on your chosen EC2 instance type
    2. Ensure your security group allows inbound traffic on port 80 (and 22 for SSH)
    3. SSH into the instance and retrieve your admin password from the root-only credential file
    4. Open the instance public IP in your browser to access the Prefect UI
    5. Connect your first worker or deploy your first flow from any machine with the Prefect client

    For guided deployment assistance or architecture questions, contact cloudimg support.

    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

    • Launch a production-ready Prefect orchestration backend in minutes, not hours. This AMI eliminates manual Python environment setup, reverse proxy configuration, and WebSocket tuning - delivering the server API and live dashboard on port 80 with authentication enabled from the start. No manual setup means your team focuses on building workflows, not infrastructure.
    • Build resilient Python data workflows with zero boilerplate and no external database to provision. The embedded SQLite store lives on a dedicated data disk you can resize independently - avoiding the cost and complexity of managing PostgreSQL. Retries, scheduling, caching, concurrency limits, and real-time observability are ready out of the box.
    • Secure by default with no shared credentials - every instance generates a unique admin password on first boot, stored in a root-only file. The server binds exclusively to loopback, ensuring it is never exposed without authentication. Backed by 24/7 cloudimg technical support with a one-hour average response for critical issues.

    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

    Free trial

    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.

    Prefect Python Workflow Orchestration | Support by cloudimg

     Info
    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)

     Info
    • ...
    Dimension
    Description
    Cost/hour
    t3.medium
    Recommended
    t3.medium
    $0.04
    t2.micro
    t2.micro instance type
    $0.04
    t3.micro
    t3.micro instance type
    $0.04
    c5d.9xlarge
    c5d.9xlarge instance type
    $0.24
    c8a.metal-48xl
    c8a.metal-48xl instance type
    $0.24
    m5a.2xlarge
    m5a.2xlarge instance type
    $0.24
    i3en.24xlarge
    i3en.24xlarge instance type
    $0.24
    c5d.12xlarge
    c5d.12xlarge instance type
    $0.24
    t3a.nano
    t3a.nano instance type
    $0.00
    m8a.16xlarge
    m8a.16xlarge instance type
    $0.24

    Vendor refund policy

    Refunds available on request.

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    Legal

    Vendor terms and conditions

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    Content disclaimer

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    Usage information

     Info

    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 Prefect 3.7.5 self-hosted server and UI behind 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 Prefect UI and API are 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/prefect-credentials.txt. nginx reverse-proxies port 80 to the Prefect server on 127.0.0.1:4200 (with the WebSocket upgrade the live dashboard needs) behind HTTP Basic auth. Point your workers and clients at the server with: prefect config set PREFECT_API_URL=http://admin :<password>@<instance-public-ip>/api. Install extra Python packages into the bundled virtual environment with: sudo /opt/prefect/venv/bin/pip install <package>. The server data directory (PREFECT_HOME, including the embedded SQLite database) lives on a dedicated data disk mounted at /var/lib/prefect.

    Resources

    Vendor resources

    Support

    Vendor support

    cloudimg provides 24/7 technical support for this Prefect AMI product.

    Support Channels

    What We Help With

    • Initial deployment and instance configuration
    • Connecting workers and configuring work pools
    • Scheduling, deployments, and flow run troubleshooting
    • TLS setup and authentication configuration
    • Performance tuning and scaling guidance
    • Software updates and patching
    • Troubleshooting errors and service recovery
    • Refund requests and billing questions

    Response Times

    Critical issues receive a one-hour average response time. Our engineers work to resolve all support requests promptly regardless of severity.

    Getting Help

    Contact us at support@cloudimg.co.uk  or via live chat for any issue including deployment assistance, troubleshooting, configuration questions, or refund requests. We are available 24 hours a day, 7 days a week.

    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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