Overview
ScaleOut StateServer with ScaleOut GeoServer adds disaster recovery and global data integration to ScaleOut StateServer, an in-memory data grid (distributed cache) which runs as a distributed software service on a set of dedicated virtual servers. ScaleOut StateServer stores data objects in memory, makes them instantly accessible to networked Web or application servers, and scales to handle large workloads. For more details, read the full description of ScaleOut StateServer listed in the AWS Marketplace.
ScaleOut GeoServer provides disaster recovery and global data integration (GDI) for multiple, remote, in-memory data grids (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. GDI can be used to provide automatic data migration and elastic scaling to an additional site to meet temporary demand spikes. Up to eight sites can be interconnected using ScaleOut GeoServer. 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
Pricing
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.large | $0.19 | $0.093 | $0.283 |
t2.xlarge | $0.38 | $0.186 | $0.566 |
t2.2xlarge | $0.64 | $0.371 | $1.011 |
t3.large | $0.19 | $0.083 | $0.273 |
t3.xlarge | $0.38 | $0.166 | $0.546 |
t3.2xlarge | $0.64 | $0.333 | $0.973 |
m4.large | $0.19 | $0.10 | $0.29 |
m4.xlarge | $0.38 | $0.20 | $0.58 |
m4.2xlarge | $0.64 | $0.40 | $1.04 |
m4.4xlarge | $1.27 | $0.80 | $2.07 |
Vendor refund policy
You may cancel service at any time via AWS. Refunds are not available for fees incurred.
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
Standard Cluster Deployment
This deployment offering launches a configurable number of EC2 instances running in a Placement Group as part of an Auto-Scaling Group with configurable instance tenancy and a single publicly-accessible network subnet. There are no auto-scaling rules or CloudWatch Alarms configured by default, but they can be manually added after deployment. All instances launched as part of this deployment will all automatically discover each other at startup to form a single, cohesive, in-memory data grid membership.
CloudFormation Template (CFT)
AWS CloudFormation templates are JSON or YAML-formatted text files that simplify provisioning and management on AWS. The templates describe the service or application architecture you want to deploy, and AWS CloudFormation uses those templates to provision and configure the required services (such as Amazon EC2 instances or Amazon RDS DB instances). The deployed application and associated resources are called a "stack."
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://
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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