HERZLIA, Israel, March 26, 2013 (GLOBE NEWSWIRE) -- BluePhoenix ( www.bphx.com) (NASDAQ: BPHX), the legacy application lifecycle company, announced release of their Cloud Transaction Engine and Batch In The Cloud Service.
The Cloud Transaction Engine (CTE) is a module of the company's soon-to-be-released ATLAS Platform. CTE is a proprietary codebase that enables mainframe processes to be run from off-mainframe infrastructure. BluePhoenix's Batch In The Cloud service is the first formal offering leveraging CTE capabilities.
"Batch In The Cloud uses off-mainframe, cloud-based processing power to reduce mainframe MIPS and total cost of ownership," explains Rick Oppedisano, BluePhoenix's Vice President of Marketing. "The huge array of virtual machines in the cloud brings greater performance and scalability than the mainframe. Jobs can be processed quicker at a lower cost. It's a great way for customers to save money immediately and explore options for an eventual mainframe transition."The Batch In The Cloud service is supported on private or public clouds, including Microsoft's Azure and Amazon's EC2. This service is designed to enable COBOL, CA GEN and Natural/ADABAS mainframe environments. "In a typical scenario, workloads continue to grow while the mainframe's processing power and batch window stays the same," says BluePhoenix's VP of Engineering, Florin Sunel. "Our technology acts as a bridge between the mainframe and cloud. With Batch In The Cloud, all business logic is preserved. Customers can reduce usage cost by running jobs like reporting from the cloud platform rather than the mainframe. In that scenario, they can also add business value by using modern business intelligence tools that aren't compatible with the mainframe to gain insight from their data." Adds Oppedisano, "Beyond the immediate cost savings, this technology creates a competitive advantage. Exposing data in an off-mainframe location empowers the customer to become more agile. Not only can they process reports faster, but they can slice and dice their data to get a broader perspective than competitors who keep data on the mainframe."