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    Maintainerr - Media Library Automation for Plex on EC2

     Info
    Deployed on AWS
    AWS Free Tier
    Automated media library maintenance for Plex and Jellyfin. Create rules to manage collections and auto-delete watched content on your own EC2 instance.

    Overview

    Maintainerr automates media library management for Plex and Jellyfin servers. Define rules to handle watched content and maintain a clean library.

    Key Features:

    • Rule-based media management
    • Plex and Jellyfin integration
    • Collection automation
    • Customizable retention policies
    • Docker-based, auto-starts on boot

    Highlights

    • 40+ visualization types with interactivity
    • SQL Lab for ad-hoc exploration
    • Role-based access with row-level security

    Details

    Delivery method

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

    Latest version

    Operating system
    Ubuntu 24.04

    Deployed on AWS
    New

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    Features and programs

    Financing for AWS Marketplace purchases

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    Financing for AWS Marketplace purchases

    Pricing

    Maintainerr - Media Library Automation for Plex on EC2

     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.
    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 (6)

     Info
    Dimension
    Description
    Cost/hour
    t3.medium
    Recommended
    t3.medium instance
    $0.08
    t3.micro
    t3.micro instance
    $0.00
    t3.large
    t3.large instance
    $0.08
    m5.large
    m5.large instance
    $0.08
    m5.xlarge
    m5.xlarge instance
    $0.08
    r5.large
    r5.large instance
    $0.08

    Vendor refund policy

    No refunds. Cancel anytime. Contact support@waltsoft.net .

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    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

    Maintainerr - repurposed product. Docker-based, E2E verified, auto-starts on boot.

    Additional details

    Usage instructions

    Quick Start

    1. Launch on t3.medium or larger
    2. Open http://YOUR_PUBLIC_IP
    3. Connect to your Plex/Jellyfin server via setup wizard

    What's Included

    • Maintainerr (latest, Docker)
    • Auto-starts on boot
    • Persistent config

    Ports

    • 80: Web UI
    • 22: SSH (user: ubuntu)

    Support

    https://waltsoft.net/ 

    Support

    Vendor support

    For technical support, email support@waltsoft.net  or visit

    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.

    Customer reviews

    Ratings and reviews

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