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    ScaleOut StateServer

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    ScaleOut StateServer(R) is an in-memory data grid (distributed cache), which runs as a distributed software service on a set of dedicated virtual servers. It stores data objects in memory, makes them instantly accessible to networked Web or application servers, and scales to handle large workloads.
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    ScaleOut StateServer

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    Overview

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    ScaleOut StateServer is an in-memory data grid (IMDG), also called a distributed cache, which runs as a distributed software service on a set of dedicated virtual servers to help scale application performance. It stores an application's data objects in memory, makes them instantly accessible to networked web or application servers, and scales to handle large workloads. Stored objects can be uniformly accessed by clients using a fully consistent storage model, and the grid enables simultaneous access by different clients to data objects stored on different grid servers. Once provisioned, ScaleOut StateServer automatically balances the amount of storage used by each server in the grid to scale throughput and maintain fast response times. As new servers running ScaleOut StateServer are provisioned, they automatically rebalance the workload to expand storage capacity and throughput. High availability is built into every feature of ScaleOut StateServer to support the needs of mission-critical applications. A comprehensive set of Java, C/C++, .NET, and REST APIs enable applications to directly access the IMDG as a key/value store using create/read/update/delete semantics. APIs also can perform a wide variety of operations, such as querying objects by their properties and handling asynchronous events. AWS instances include Standard Support for ScaleOut StateServer. Premium support packages are available directly from ScaleOut Software.

    Highlights

    • Fast, Scalable Performance: Scales to hundreds of server instances to provide fast response times for large workloads. This gives your applications the performance and scalability they need, and the flexibility to grow or shrink the grid as required.
    • Ease of Use: Self-organizes by automatically combining server instances into a uniformly accessible and scalable in-memory data grid. No configuration steps are required for creating a grid membership, failover, partitioning, or client-side caching.
    • Powerful, Advanced Features: Includes highly automated cloud deployment, fully consistent data storage, parallel query, object browser, parallel backup/restore, object locking, object timeouts and dependencies, event handling, and much more.

    Details

    Delivery method

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

    Latest version

    Operating system
    AmazonLinux 2.0.20240109.0

    Typical total price

    This estimate is based on use of the seller's recommended configuration (m5.large) in the US East (N. Virginia) Region. View pricing details

    $0.226/hour

    Features and programs

    Financing for AWS Marketplace purchases

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    Financing for AWS Marketplace purchases

    Pricing

    ScaleOut StateServer

     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. Alternatively, you can pay upfront for a contract, which typically covering your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (49)

     Info
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    t2.large
    $0.13
    $0.093
    $0.223
    t2.xlarge
    $0.26
    $0.186
    $0.446
    t2.2xlarge
    $0.44
    $0.371
    $0.811
    t3.large
    $0.13
    $0.083
    $0.213
    t3.xlarge
    $0.26
    $0.166
    $0.426
    t3.2xlarge
    $0.44
    $0.333
    $0.773
    m4.large
    $0.13
    $0.10
    $0.23
    m4.xlarge
    $0.26
    $0.20
    $0.46
    m4.2xlarge
    $0.44
    $0.40
    $0.84
    m4.4xlarge
    $0.88
    $0.80
    $1.68

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp2) volumes
    $0.10/per GB/month of provisioned storage

    Vendor refund policy

    You may cancel service at any time via AWS. Refunds are not available for fees incurred.

    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

    Additional details

    Usage instructions

    To administer this product after deployment, if the Web Management Console was enabled, please visit http://<server>:4000/console/ (port 4000 is configurable during deployment). Alternatively, ScaleOut Software, Inc. provides ScaleOut Management Console on Windows, which can be installed separately and used for both deployment and management.

    To acquire these tools on your management workstation, download and install the latest ScaleOut StateServer Remote Client installer for Linux operating systems or the ScaleOut StateServer installer for Windows systems from our Support Downloads page: http://www.scaleoutsoftware.com/support/support-downloads/ . On Windows operating systems, select the Remote Client/Cloud Mgt. setup type.

    Once installed, please see the ScaleOut StateServer User Guide for step-by-step instructions to manage ScaleOut StateServer on Amazon Web Services. This help file can be found in the product installation directory on your local system, or online at http://www.scaleoutsoftware.com/support/product-documentation/ . On Windows systems, this help file is also available in the Start menu. Once opened, please review the sections under Deploying SOSS in the Cloud, including both the Overview and Deploying in Amazon Web Services sections.

    Client applications running as a single instance or as multiple instances can connect to and make use of a deployed in-memory data grid using APIs provided by the ScaleOut StateServer Remote Client libraries. Client applications can run either within Amazon Web Services or on remote client systems. Please install the ScaleOut Remote Client libraries on all instances or servers that need to access a deployed in-memory data grid. Follow the instructions in the Product Documentation to enable a client application to dynamically connect to a named data grid within Amazon Web Services. These instructions explain how to configure the client configuration file, soss_client_params.txt, which the user stages in the ScaleOut StateServer installation folder on each client instance or remote client system prior to starting the client application.

    The following packages are downloaded on deployment: Boto Python package

    Resources

    Support

    Vendor support

    Standard Support & Maintenance plan included in pricing. Gold and Platinum Support available through ScaleOut Software directly. See http://www.scaleoutsoftware.com/scaleout-support  for more details.

    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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