ScaleOut StateServer® is a leading in-memory distributed cache that boosts application performance and scalability for RSA Archer products.
The integration of ScaleOut StateServer with the RSA Archer suite of products provides a distributed cache that spans the servers running RSA applications, creating an in-memory data store for fast-changing application data. ScaleOut StateServer is designed to manage millions of serialized data objects in memory. Using the RSA-certified connector, RSA Archer applications save, access, and update these objects at memory speed to eliminate database bottlenecks and dramatically reduce access latency.
Your RSA Archer data is mission critical and must be coherent. ScaleOut StateServer ensures that data is always available — even if a server fails — by redundant storage of all objects on at least two servers and automatic self-healing in the event of server or network failure. Unlike other caching products, your data is sequentially consistent, meaning your RSA Archer apps will never access stale data.
- For more information about ScaleOut StateServer’s integration with RSA Archer products, please email firstname.lastname@example.org.
- For details on installing ScaleOut StateServer with your RSA-Archer application, see the Help section of your documentation.
- View ScaleOut StateServer documentation.
- View listing of ScaleOut StateServer Connector on the RSA Link (Exchange) site.
- Open a support case at email@example.com.
Proven RSA Archer History
ScaleOut StateServer has been successfully used for over a decade by RSA in its RSA Archer hosted solutions and is now available for your on-premise RSA Archer products.
- Linear performance scaling
- Strongly coherent data
- Highly available data
- Enterprise-grade support
- Easy to use
Certified by RSA Archer
The ScaleOut StateServer Connector was developed and is certified by RSA Archer.
Will it Work for Me?
ScaleOut StateServer can be used with all RSA Archer solutions. It will be most beneficial where data integrity is critical and heavy workloads occur. It’s easy to use and battle-tested in hundreds of deployments.