Sold by: ScaleOut Software
Deployed on AWS
ScaleOut StreamServer with ScaleOut GeoServer adds disaster recovery and global data integration to ScaleOut StreamServer's scalable stream-processing and data-parallel compute engine and integrated, in-memory data grid by enabling applications to store and access data at multiple data centers.
Overview
ScaleOut StreamServer(TM) with ScaleOut GeoServer(R) adds disaster recovery and global data integration to ScaleOut StreamServer's scalable stream-processing software platform and integrated, in-memory data grid (IMDG) by enabling applications to store and access data at multiple data centers. ScaleOut StreamServer combines a scalable, stream-processing compute engine with an integrated IMDG to create a powerful, unified software platform for both stateful stream-processing and data-parallel analytics in a wide range of applications, such as the Internet of Things (IoT), logistics, and financial services. For more details, read the full description of ScaleOut StreamServer listed in the AWS Marketplace.
ScaleOut GeoServer provides disaster recovery and global data integration (GDI) for multiple, remote IMDGs. When configured for disaster recovery (“push” mode), it replicates data between IMDGs at multiple sites (cloud or on-premises) to protect against site-wide failures, while allowing all sites to be active. ScaleOut GeoServer transparently scales replication bandwidth as the workload grows. For GDI, ScaleOut GeoServer can be configured to enable the creation of a single, virtual data grid that spans IMDGs at multiple sites (“pull” mode) with seamless access to data regardless of where it is stored. AWS instances include Standard Support. Premium support packages are available directly from ScaleOut Software.
Highlights
- Disaster Recovery: ScaleOut GeoServer automatically replicates stored objects between in-memory data grids running at up to eight different sites to provide uninterrupted access in case a data center goes offline.
- Global Data Integration: ScaleOut GeoServer enables applications to transparently access stored objects from remote ScaleOut StateServer in-memory data grids as needed to enable a single, virtual, globally accessible data grid.
- Scalability: ScaleOut GeoServer uses scalable and highly available connections that take full advantage of all servers in each in-memory data grid.
Details
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Delivery method
Delivery option
Standard Cluster Deployment
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux 2.0.20240109.0
Deployed on AWS
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Pricing
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 covers 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.
Dimension | Cost/hour |
|---|---|
m5.large Recommended | $0.46 |
c4.8xlarge | $6.89 |
c4.large | $0.46 |
c5.large | $0.46 |
c5.xlarge | $0.92 |
x1.16xlarge | $12.24 |
c4.4xlarge | $3.06 |
c5.4xlarge | $3.06 |
c4.2xlarge | $1.53 |
x1e.8xlarge | $6.12 |
Dimensions summary
You pay by the hour based on the EC2 instance you run this software on. Each dimension maps to a specific instance type, so your rate scales with the compute size you choose. Options span several instance families, including general-purpose (m4, m5, t2, t3), compute-optimized (c4, c5), and memory-optimized (r4, r5, x1, x1e). Within each family, larger sizes carry higher hourly rates. Pick a smaller instance for lighter workloads or a larger one to handle bigger stream-processing and data replication demands. There is no upfront commitment; you pay only for the hours you use.
Top-of-mind questions for buyers
Each dimension bills for one running EC2 instance of the named type, per hour. The software rate is separate from the underlying AWS infrastructure charge. You pay both: the ScaleOut software fee plus the standard EC2 compute cost for that instance size.
Hourly software charges apply only while the instance runs. A fully stopped instance stops accruing software fees. Note that this software supports multi-site data replication for disaster recovery, so a standby site still running an instance continues to accrue hourly charges until stopped.
Switching instance types changes your hourly rate to match the new type. There is no automatic upgrade; you choose the instance when you launch. Larger sizes within a family carry higher hourly rates. You pay the rate for whichever instance is running at any given time.
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You may cancel service at any time via AWS. Refunds are not available for fees incurred.
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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
See http://www.scaleoutsoftware.com/support/release-history/ for full 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. The following packages are downloaded on deployment: Boto Python package.
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
Vendor 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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