Sentence examples for deployment capability from inspiring English sources

We needed faster service discovery and canary deployment capability that provides instant rollback and performance measurement.

Adaptation to weather is given by flexible retrieval and deployment capability.

"The new payload deployment capability from UP Aerospace was successfully demonstrated, opening the opportunity for future entry, descent and landing technologies to be tested and matured under Flight Opportunities".

Utilizing the renewable energy, e.g., the energy harvested from the sun or wind, the EH relay station will not only have the flexible deployment capability but also consumes less amount of the traditional energy, leading to lower carbon emission [5, 9].

But other major powers, especially Nigeria, have always been suspicious of South Africa's enthusiasm for this project, and want to put resources into getting existing structures up to speed: specifically, the Rapid Deployment Capability of the African Standby Force, which was conceived long before ACIRC was forced into existence.

The study provides new empirical support to the dynamic capability theory explaining the impact of entrepreneurial orientation in developing market knowledge development and marketing deployment capabilities.

PROVIZ also includes built-in extensible visual demo deployment capabilities that allow users to quickly craft network scenarios and share them with other users.

It features two successive phases respectively invoking its design and deployment capabilities, and it represents designers' inductively generated response to what they perceive as a gap between capabilities needed to support contemporary enterprises and those offered by contemporary PMSs.

Since 2000, the ADF's expanded force structure and deployment capabilities have been put to the test on a number of occasions.

Mobile Wireless Sensor Networks have the potential to meet the desired coverage requirements, by exploiting the device coordination and self-deployment capabilities.

To successfully embed statistical machine learning models in real world applications, two post-deployment capabilities must be provided: (1) the ability to solicit user corrections and (2) the ability to update the model from these corrections.