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    AMI with Python 3.12, PostgreSQL 17.4, Node.js 22, FFmpeg, MediaInfo

     Info
    Deployed on AWS
    This AMI accelerates development with Python 3.12, PostgreSQL 17.4, Node.js 22.14, FFmpeg, and MediaInfo pre-installed. Designed to save engineering hours and reduce setup friction for media processing and full-stack apps.

    Overview

    This pre-packaged Amazon Machine Image (AMI) is built to eliminate setup delays and reduce engineering effort. With Python 3.12, PostgreSQL 17.4, Node.js 22.14.0, FFmpeg, and MediaInfo 25.04 already configured, teams can start building immediately - no manual installations, no version conflicts, no time wasted.

    Whether developing media applications, backend services, or data pipelines, this AMI provides a ready-to-code environment out of the box. Engineers save hours of setup time, and teams can go from instance launch to productive work in minutes.

    For executives and decision-makers, this AMI translates to reduced onboarding time, faster time-to-market, and lower operational costs - making it an ideal choice for lean teams or high-throughput environments where every hour matters.

    Use this AMI to prototype fast, deliver faster, and free your engineers from boilerplate tasks so they can focus on what truly drives your business forward.

    Highlights

    • Instant developer-ready AMI with Python 3.12, PostgreSQL 17.4, Node.js 22.14, FFmpeg, and MediaInfo - no manual installation required, saving hours of setup time and configuration effort.
    • Ideal for media processing, data workflows, and full-stack development; all key components are pre-tested for compatibility and performance in production-grade environments.
    • Speeds up team onboarding and reduces operational overhead by offering a secure, pre-built foundation - enabling faster prototyping, lower cost, and quicker time-to-market.

    Details

    Delivery method

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

    Latest version

    Operating system
    AmazonLinux 2023

    Deployed on AWS

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    Pricing

    AMI with Python 3.12, PostgreSQL 17.4, Node.js 22, FFmpeg, MediaInfo

     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.

    Usage costs (266)

     Info
    • ...
    Dimension
    Cost/hour
    c6g.4xlarge
    Recommended
    $0.50
    c8gd.2xlarge
    $0.50
    c6gd.4xlarge
    $0.50
    m7g.16xlarge
    $0.50
    c8g.2xlarge
    $0.50
    m8g.48xlarge
    $0.50
    i8g.xlarge
    $0.50
    a1.4xlarge
    $0.50
    hpc7g.8xlarge
    $0.50
    g5g.xlarge
    $0.50

    Vendor refund policy

    All sales of the Acrux Media AMI are final. Refunds are not provided after subscription and launch. If you experience technical issues caused by the AMI, contact our support team. Verified issues that cannot be resolved may be eligible for a refund.

    For assistance, contact support@acrux.media  or +1 (201) 560-8983.

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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 (Arm) 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 the MediaDev AMI, providing a pre-configured development environment with:

    Python 3.12 for scripting, automation, and machine learning workloads

    PostgreSQL 17.4 for advanced relational database management

    Node.js 22.14.0 for building scalable backend and full-stack applications

    FFmpeg for high-performance video and audio processing

    MediaInfo 25.04 for detailed media metadata inspection

    All components are installed, tested, and ready to use, helping users reduce setup time and focus on building and deploying applications immediately. Suitable for media processing, API development, database-backed services, and rapid prototyping.

    Additional details

    Usage instructions

    This AMI provides a pre-configured Amazon Linux 2023 environment optimized for media processing using FFmpeg, FFprobe, and MediaInfo. Follow the steps below to launch and use the AMI effectively. Launching the AMI Go to the AWS Marketplace and search for Acrux Media AMI. Click "Continue to Subscribe," then "Continue to Configuration." Choose the Amazon Linux 2023 version and select your preferred AWS region. Click "Continue to Launch," select an EC2 instance type (recommended: Graviton2/3 ARM64 instances), and configure networking settings. Click "Launch" and wait for the instance to initialize. Connecting to the Instance Use SSH to connect to the instance using the command: ssh -i your-key.pem ec2-user@your-instance-ip. Replace "your-key.pem" with your private key and "your-instance-ip" with the instance's public IP. Verifying Installed Software Once connected, verify the pre-installed tools. Check FFmpeg version with "ffmpeg -version". Check MediaInfo version with "mediainfo --version". Check Python and development tools with "python3 --version" and "gcc --version". Using FFmpeg for Media Processing To convert a video file to MP4, use "ffmpeg -i input.mov -vcodec h264 -acodec aac output.mp4". To extract audio from a video, use "ffmpeg -i input.mp4 -q:a 0 -map a output.mp3". Using MediaInfo for Metadata Extraction To get metadata for a media file, use "mediainfo input.mp4". Storage and Networking Considerations Attach an S3 bucket for large media storage. Ensure your security group allows inbound SSH (port 22) and any necessary media processing ports. Stopping and Terminating the Instance Stop the instance when not in use to save costs using "sudo shutdown -h now". To permanently remove the instance, terminate it from the AWS EC2 Console. For further assistance, contact support@acrux.media .

    Support

    Vendor support

    For support related to the AMI, we provide professional assistance to ensure smooth deployment, configuration, and operational efficiency in your AWS environment. Our team is available to help resolve technical issues, provide guidance on best practices, and ensure that customers can fully utilize the capabilities of the AMI. Support is available through email, phone, and our dedicated support website. Standard support is offered during business hours from Monday to Friday, 9 AM to 6 PM Eastern Time, with a response time of up to 24 business hours. Critical issues related to AMI deployment and configuration receive expedited assistance to minimize downtime and disruptions. For organizations with high-demand media processing workloads, we offer enterprise support packages that include 24/7 assistance. Customers who require continuous availability and dedicated support can contact us for more details on premium support options. For any inquiries or technical support, please reach out to our team. Email: support@acrux.media  Phone: +1 201 560 8983 Support Website:

    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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