Tarmin Unlocks the Value of Data with the Gridbank Data Defined Storage Platform


Tarmin GridBank Architecture


Next Generation Data Management Platform Architecture


Tarmin GridBank is entirely built on the very latest in proven enterprise technology with a highly modular architecture to deliver benefits focusing on the Three Pillars of GridBank. These are storing data, controlling risk and understanding information. Through GridBank's all-in-one approach to data management, it delivers six core sets of functionalities; object storage, global namespace, archiving, replicating, searching and big data analytics. The technology stack that achieves these features and benefits is outlined below. The GridBank System and Software Architecture stack provides an overview of the core components within the technology stack.




 

Global Namespace

The top layer is formed of Application Servers including Exchange, SharePoint, file servers, virtualized data centers and other sources for the ingestion process. These servers gain access to the GridBank stack through the Global Namespace. Data flows from Big Data Applications can also access the grid via the Global Namespace. Finally, third party applications can be integrated through the API. The Global Namespace provides the access layer to all other GridBank services, including the Application Aware Virtualization of Streamed Objects, during the process of ingestion of the application data.

Elastic Metabase

The core of the GridBank platform, the Elastic Metabase, sits within the Sessions, Authentication and Authorization Zone where security protocols are implemented, ensuring that no unauthorized users have access to the data. The Distributed Command Framework is a key proprietary messaging bus which passes data between the Elastic Metabase, the nodes of the grid and to each of the services, including Clustering Services which maintain the grid, Discovery Services which drive the federated search and e-Discovery functionality, Policy Management Services, which build and execute security and data management policies and Archiving Services which allow for storage optimization by offloading infrequently accessed data to secondary and tertiary storage tiers. The Big Data Analytics Services operate underneath these services to analyse big data flows, generate business insights and understand information. Finally, within this section of the stack lies the Elastic Metabase, itself, which uniquely stores every email, file, setting, policy, audits or log as an object alongside the metadata store, offering enhanced performance, greater security, flexibility to extend the metabase through the API and reduced network traffic and latency.

Storage Pool Virtualization


The Storage Pool Virtualization links the grid to the physical storage resources, consolidating the separate storage pools into a single centralized view of the virtualized file system. It provides connectivity to a heterogeneous array of Private Clouds in Multiple Datacenters, Public Cloud Storage, SAN, NAS or DAS repositories, significantly reducing cost and complexity of the storage infrastructure.