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    Engula 1.0.0 compatible with Redis 7.2.4 on Ubuntu 24.04 (amd64)

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    Sold by: montplex 
    Deployed on AWS
    Free Trial
    This product includes charges for the AMI build, maintenance, software subscription, and dedicated support services.

    Overview

    This is a pre-configured Amazon Machine Image (AMI) that includes Engula pre-installed on linux. The pricing covers:

    1. Software subscription fees for Engula
    2. AMI creation, optimization, and ongoing maintenance
    3. Comprehensive support services, including:
    • technical assistance
    • Guaranteed response times
    • Regular security updates and patches
    • Best practices guidance for AWS deployments For detailed pricing information and support terms, please refer to the Pricing section.

    Highlights

    • Full compatibility with Redis/Valkey 7.2.4, preserving existing Redis usage patterns without intrusion.
    • Integrated self-learning transparent compression that automatically adapts to workload patterns and generates compression dictionaries, yielding 30-70% memory savings.
    • Performance optimizations for X86 and ARM architectures, ensuring compression with less than 10% performance overhead.

    Details

    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 31 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.

    Engula 1.0.0 compatible with Redis 7.2.4 on Ubuntu 24.04 (amd64)

     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 (5)

     Info
    Dimension
    Cost/hour
    r5n.large
    Recommended
    $0.089
    r5n.2xlarge
    $0.356
    r5n.4xlarge
    $0.712
    r5n.8xlarge
    $1.424
    r5n.xlarge
    $0.178

    Vendor refund policy

    We do not currently support refunds, but you can cancel 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

     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

    Support memory compression for Redis data; Support automatic compression dictionary management; Add Prometheus Metrics output related to data compression;

    Additional details

    Usage instructions

    1. Connect to EC2 instance ssh -i ~/.ssh/[Your-Key-Pair] ubuntu@[Public-IP]
    2. View the instance of Engula ps -ef|grep redis
    3. Connect to your Engula redis-cli

    Support

    Vendor support

    Email support, contact us through our Email address(support@montplex.com )

    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

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