Software Update Stability Index via Telemetry Segmentation

The patent segments the software update deployment process by creating configuration-specific stability indices. Instead of treating all devices uniformly, the system divides updates into groups based on hardware and software configurations, calculating separate stability indices for each segment. This allows targeted deployment to specific configuration groups while avoiding instability in other segments.

The patent performs preliminary actions by collecting telemetry data and calculating stability indices before deploying software updates. The system proactively gathers installation events, system stability data, and configuration information in advance, then uses this data to predict which configurations will be stable with the update before actually deploying it, preventing instability rather than reacting to it afterward.

The patent implements self-service by having computing devices automatically report their own configuration data and installation events to the server. Instead of requiring manual testing on every configuration, the system leverages the devices themselves to generate the test data through normal operation, with telemetry agents collecting and transmitting stability information back to the update server for analysis.

The patent establishes a feedback loop where telemetry data from deployed updates flows back to the server, which then recalculates stability indices based on real-world performance. This continuous feedback mechanism allows the system to improve reliability over time by learning from actual deployment outcomes, rather than relying solely on pre-deployment testing.

The patent applies dynamics by making the update deployment decision adaptive rather than static. The system continuously updates stability indices based on incoming telemetry data, allowing the recommendation to install or defer updates to change dynamically as more information becomes available. Users receive customized, time-varying guidance based on their specific configuration's observed stability.

The patent changes the parameter of update deployment from a binary yes/no decision to a probabilistic assessment based on stability indices. By transforming the decision parameter into a quantitative measure (the stability index) that incorporates configuration-specific telemetry data, the system enables users to make informed decisions about whether the productivity benefit of an update outweighs the stability risk for their particular system.