Moving on previously announced plans, the #AT&T #ECOMP #SDN platform will allow for open source development enhancements AT&T said it was moving on previously announced plans to migrate its enhanced control, orchestration, management and policy platform to the open source community. The telecom giant said the platform, which controls its move into the software-defined networking space, is now open to developers interested in building upon the already established software code. AT&T said it was working with the #LinuxFoundation on the structure of the open source release. “This is a big decision and getting it right is crucial,” said John Donovan, chief strategy officer and group president for technology and operations at AT&T. “We want to build a community – where people contribute to the code base and advance the platform. And, we want this to help align the global industry. We’ve engaged a third-party company to be the integrator and provide support in the industry for the ECOMP platform. And we’ve received positive feedback from major global telecom companies.” In touting the platform, AT&T said ECOMP is “mature, feature-complete and tested in real-world deployments. And, we believe it will mature SDN and become the industry standard. Releasing this software into open source levels the worldwide playing field for everyone. Most importantly, we believe this will rapidly accelerate innovation across the cloud and networking ecosystems.” AT&T unveiled the ECOMP initiative earlier this year, which it said was designed to automate network services and infrastructure running in a cloud environment. Donovan said the carrier had been working on ECOMP for nearly two years, tackling the project due to a lack of guidance for NFV and SDN deployments in a wide area network environment. ECOMP is said to provide automation support for service delivery, service assurance, performance management, fault management and SDN tasks. The platform is also designed to work with OpenStack, though Donovan noted it was extensible to other cloud and compute environments.
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