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    Cloud Native Qumulo on AWS

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    Sold by: Qumulo 
    Turn S3 into a full-featured scale-out distributed file system for Media, Healthcare, Research/HPC, Financials, VDI Profiles, and other use-cases typically served by on-premises network-attached storage arrays.
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    Cloud Native Qumulo on AWS

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    Sold by: Qumulo 

    Overview

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    Cloud Native Qumulo (CNQ) on AWS is an enterprise-proven, multi-protocol system designed to manage unstructured data with superior performance, scalability, flexibility, and cost efficiency.

    CNQ offers a transformative approach to cloud economics, priced up to 80% less than legacy file offerings. By leveraging AWS S3 for long-term data persistence, CNQ significantly reduces costs without sacrificing performance. Its intelligent cache management accelerates data access between object storage and compute, ensuring all data is served efficiently from NVMe (Non-Volatile Memory Express). This eliminates the long-tail latencies typically associated with file transfers from S3 to temporary caches, unlocking a wide range of file workloads previously constrained by on-premises data centers due to performance or cost limitations.

    NOTE: Cloud Native Qumulo is metered & charged based on data stored on the system. This listing enables you to purchase Qumulo Credits to pre-pay for usage. Credits will be drawn down monthly based on usage. If $5000 is not the right multiple, contact aws@qumulo.com  for a private offer.

    Visit https://qumulo.com/product/aws/#cnq-aws-pricing-estimator  to calculate how many Qumulo Credits to purchase, or contact aws@qumulo.com  for more in-depth guidance and support.

    Highlights

    • Simplicity: CNQ can be deployed in minutes using a wide range of EC2 instance types, making it easy to get started and adapt to changing needs.
    • Elasticity: Seamlessly expand and contract performance and capacity within minutes to match dynamic workload requirements without disruption.
    • Scalability: Scale data footprints to exabyte levels, accommodating the growing data demands of modern enterprises.

    Details

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    Delivery method

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

    Latest version

    Operating system
    OtherLinux 5.15.0-97-generic

    Pricing

    Cloud Native Qumulo on AWS

     Info
    Pricing is based on contract duration. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (1)

     Info
    Dimension
    Description
    Cost/12 months
    Qumulo Credits
    Consumed storage TB will draw down on credit balance monthly.
    $5,000.00

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp3) volumes
    $0.08/per GB/month of provisioned storage

    Vendor refund policy

    Refunds are considered on a case-by-case basis. To request a refund please contact aws@qumulo.com 

    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

    Qumulo Core 7.2.2 is embedded in the AMI in this version. Visit https://nexus.qumulo.com  for release notes.

    Additional details

    Usage instructions

    It is strongly recommended you contact our team at aws@qumulo.com  for production deployments.

    For a small-scale TEST deployment, you need:

    • An empty S3 bucket
    • IAM Instance Profile that has permissions to access bucket

    Steps:

    1. Deploy an instance with the following:
      1. EC2 key pair or SSM permissions
      2. VPC, Subnet, and Security Group (TCP 22,80,443,2049,445)
      3. Add EBS Volumes: 4x gp3 volumes @ 4GiB each + 4x gp3 volumes @ 16GiB each
      4. IAM instance profile for S3
    2. ssh admin@<instance_ip>
    3. Run sudo qsh and run (replace [S3_BUCKET_NAME] and [PASSWORD]):
    S3_BUCKET_NAME=[S3_BUCKET_NAME]
    TOKEN=$(curl -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 21600")
    LOCAL_IP=$(curl -H "X-aws-ec2-metadata-token: $TOKEN" http://169.254.169.254/latest/meta-data/local-ipv4)
    REGION=$(curl -H "X-aws-ec2-metadata-token: $TOKEN" http://169.254.169.254/latest/meta-data/placement/region)
    /opt/qumulo/qq_internal cluster_create_test \
    --cluster-name "cnq-mini-test" \
    --admin-password "[PASSWORD]" \
    --local-instance-id \
    --node-ips "$LOCAL_IP" \
    --usable-capacity-clamp 100000000000000 \
    --pstore-class TIERED_ACTIVE_PSTORE \
    --object-storage-uris "https://$S3_BUCKET_NAME.s3.$REGION.amazonaws.com/"
    

    Once completed, connect to instance with a web browser and login as admin and [PASSWORD] as the password (no quotes).

    Support

    Vendor support

    For sales support and guidance, contact aws@qumulo.com . For usage and technical support, contact care@qumulo.com . Qumulo Care provides 24/7 support via Slack, Phone, and Email.

    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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