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Translattice Announces Infrastructure Service Based on Predictive Technology


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Translattice, a predictive data software startup, has announced a cloud-based computing infrastructure designed to anticipate application and data needs based on policy, usage and geography.

Translattice offers data delivery across the network, supported by infrastructure components such as load balancing, application run times, and relational storage that reside on identical, deployed nodes. Capacity and scalability are increased by adding nodes, which may be deployed on-premise, in the cloud, or a combination of both. If a site becomes unreachable due to an outage, geographic redundancy preserves the availability of applications and data, the vendor says.

Translattice executives say the vendor offers something above and beyond current business continuity/disaster recovery providers. "Fundamentally, Translattice represents a new model for making applications resilient," Frank Huerta, CEO and co-founder of Translattice, tells 5 Minute Briefing. "Conventional architectures duplicate infrastructure, leaving the replicas unused. In our solution, applications and data are deployed across a global fabric of nodes in which each provides processing, storage, and management in a distributed fashion."

For example, Huerta explains, Translattice resources "are not dedicated solely for disaster recovery; instead, all of the redundant copies of information are used to satisfy user requests and improve application performance." This enables greater responsiveness in applications, he states.

The Translattice offering is aimed at large organizations as well as smaller companies with little existing infrastructure, Huerta explains. "Translattice's approach is enormously scalable and provides phenomenal levels of application availability and reliability," he says. "Our solution is a natural match for the requirements of the Global 1000, in addition to meeting the needs of mid-sized businesses' critical applications."

For more information, go here.


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