Remote Office Protection

GridBank has struck the balance of ensuring on demand access to data, while remaining cost effective through the use of a central data repository, enabling high performance and high availability of data across the grid

Distributed Architecture

Distributed Architecture

GridBank can be deployed for remote office environments leveraging its distributed architecture to ensure data is protected globally.

  • Grid-based architecture provides multi-site active:active replication between remote sites & data centers
  • Fault-tolerant redundancy & self-healing delivers a resilient platform whether on premise, cloud or hybrid
  • Real time data protection solution ensures that remote sites & servers are continuously protected
Distributed Architecture

End-to-End Protection

End-to-End Protection

End-to-End Protection

GridBank provides end-to-end data protection, integrity checking and security for efficient and reliable end user access of files and data on-demand.

  • End-to-end tool for protection of remote office servers, storage & infrastructure
  • Between & within site replication for failsafe data mirroring & recovery in the event of errors
  • Protect data from loss, corruption or system failure with periodic checksum integrity scrubbing

Data Access & Authentication

Data Access & Authentication

GridBank provides a comprehensive data security and identity management solution integrated with Active Directory and LDAP for authentication and role-based access control.

  • Secure data with strong encryption & integrated identity management, such as Active Directory & LDAP
  • Control user & administration permissions with flexible role-based access control model
  • Manage access, modification or deletion across remote office servers, storage & infrastructure
Access & Authentication

Low Latency Local Storage

Low Latency

Low Latency Local Storage

GridBank offers the capability to locate metadata and other hot data on local resources in remote sites in order to reduce lookup and data access latency.

  • Distributed model allows for flexible deployment approach with local data caching resources
  • Lower latency access to hot data allows for faster retrievals of the most active enterprise data
  • Local metadata repository allows for in-memory lookups without having to query remote data center