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    Kafka with Pre-configured Stack by Intuz Inc.

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    Sold by: Intuz 
    Deployed on AWS
    This product has charges associated with it for configuration, deployment support, and stack management. Effortlessly deploy Apache Kafka with a production-ready monitoring and management stack on AWS. Comes pre-configured with AKHQ, Grafana, and Kafka Connect for seamless streaming, visualization, and data pipeline management out of the box.

    Overview

    This product has charges associated with it for configuration, deployment support, and stack management. Effortlessly deploy Apache Kafka with a production-ready monitoring and management stack on AWS. Comes pre-configured with AKHQ, Grafana, and Kafka Connect for seamless streaming, visualization, and data pipeline management out of the box.

    Highlights

    • Apache Kafka pre-configured and production ready
    • AKHQ integrated for Kafka topic and cluster management
    • Grafana dashboard pre-configured for monitoring

    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

    Kafka with Pre-configured Stack by Intuz Inc.

     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 (762)

     Info
    • ...
    Dimension
    Cost/hour
    t3a.medium
    Recommended
    $0.01
    r5a.xlarge
    $0.01
    r8i.16xlarge
    $0.01
    r6id.12xlarge
    $0.01
    m5n.8xlarge
    $0.01
    p3.16xlarge
    $0.01
    m7i.12xlarge
    $0.01
    r5.16xlarge
    $0.01
    r5ad.8xlarge
    $0.01
    t2.xlarge
    $0.01

    Vendor refund policy

    Intuz will not refund money in any case; however, you can cancel your subscription at any time.

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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

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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

    Latest Stable Release

    Additional details

    Usage instructions

    You can access the AKHQ Kafka Management UI using the URL http://instance-public-ip:8080  and log in with 'admin' as username and 'instance-id' as password. You can access the Grafana monitoring dashboard at http://instance-public-ip:3000  and use 'admin' as username and 'instance-id' as password. You can also access your instance via SSH using the username 'ubuntu' and your Amazon private key. Additional utility scripts for password management, service monitoring, stack restart, Kafka IP fixes, and troubleshooting are available at '/var/www/html/iscripts/' to simplify management of the Kafka environment.

    Support

    Vendor support

    We provide best effort technical support for this product. We will do our best to respond to your questions within the next 24 hours in business days. For any technical support or query, you can fill out this form:

    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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