Sungard Availability Services patents ‘Recovery Execution System’
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- Published: Wednesday, 31 January 2018 09:15
Sungard AS has been awarded a patent for its Recovery Execution System (RES), which automates disaster recovery processes as part of its Managed Recovery Program (MRP). RES increases efficiency, lowers costs and improves accuracy to improve businesses' resilience.
Sungard AS's MRP removes the burden and complexity of running an IT recovery program in house. In its place, organizations can take advantage of a complete set of people, processes, tools, and environments to ensure comprehensive, compliant and effective testing and recovery of their data, including workplace recovery.
Sungard AS has used RES in all of its MRP tests since 2015, achieving up to 95 percent automation and driving down recovery times by up to 90 percent for certain platforms. This in turn has led to a test success rate that is 2.5 times higher than the industry average, according to an independent analysis by the Disaster Recovery Institute International.
Sungard AS saw an opportunity to cut time and cost from the process by initiating a full-scale, company-wide transformation program to reinvent how disaster recovery is performed. The goal was to make disaster recovery a touch-free process through automation, especially for hybrid environments, promoting greater IT resilience.
By eliminating manual tasks, RES helps recover physical servers and hybrid IT environments faster, frees up resources for more strategic work, and virtually eliminates the potential for human error, ensuring mission-critical operations resume as quickly as possible.
RES is an extensible orchestration and automation framework that can be used to programmatically generate an end-to-end execution workflow from the configuration of an entire environment, which, when executed, stands up an environment that's identical to that provided configuration. By leveraging automated discovery, dependency mapping and configuration management technologies, Sungard AS addressed the challenges of automatically documenting an accurate production blueprint and identifying lifecycle changes.
