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SOFTWARE-DRIVEN VIDEO SERVICE INNOVATION WORKS BEST WITH A BUILD, MEASURE, LEARN, ITERATE MODEL.
STORMTEST ENABLES DATA TO BE COLLECTED IN BOTH DEVELOPMENT AND OPERATIONS TO BUILD BETTER PRODUCTS.
Video software developers are adopting agile and DevOps practices to bring features to market faster, encourage stakeholder collaboration and reduce risk of building unwanted features.
With faster software delivery, organization's must be able to objectively measure the progress of software under development.
StormTest enables testing to shift-left earlier into the development cycle, to become part of the build pipeline, supporting a Continuous Integration and Continuous Deployment workflow. It makes it possible to validate each update to the code. In so doing, it provides a measure into the progress of software under development, while improving release quality and velocity of new features.
Testing in a lab can only take you so far. Putting a release on the screens of real users adds another, richer dimension, from a data perspective.
Accelerating deployment validation processes, and the impact on QoE, is required to fully benefit from the velocity of agile development.
StormTest enables Deployment and Operation teams to move at the pace of web speed, while assuring the delivery of a stable service. With powerful automated test and monitoring capabilities, StormTest enables operators to shift-right with testing into the live network, to quickly assess and react to how releases perform once operational.
With ongoing digital transformation in the home, ever more connected devices are expected by the consumer to work together to provide a joined-up experience.
Robust testing of in-home service scenarios will become increasingly important, as consumers adopt and combine connected services in different ways.
StormTest platform is being extended to support testing of new types of devices and services as the home evolves into a digital, smart, integrated environment. Using insights gathered from the multiple channels in the field (e.g. quality metrics from the devices, trouble tickets, care centre data, consumer reviews) we can drive more targeted testing that focuses on the problem areas.