Deployment Profiles for Selective Software Rollouts and Resource Control
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Solution Overview
Problem
Conventional deployment systems lack the ability to provide deployment operations that consider user and client-specific factors, leading to inefficient and unnecessary software installations, resource consumption, and increased costs due to biased sampling and lack of integration of user behavior and organizational impacts.
Innovation Solution
An integrated deployment strategy using deployment profiles that include scores such as early adopter, fit, relationship, and diversity scores, based on application usage data, to selectively deploy and remove software packages, considering user behavior and organizational relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional deployment systems deploy software packages to all users and clients, then deployment coverage is maximized, but resource consumption and unnecessary installations increase
Solution Approach 1:
The patent applies local quality by creating customized deployment profiles for different user segments based on their specific attributes, behaviors, and organizational contexts. Instead of uniform deployment to all users, the system tailors deployment strategies to local characteristics of user groups, deploying software only where appropriate and beneficial.
Solution Approach 2:
The patent segments the user base into distinct groups using deployment profiles that capture various dimensions of user characteristics. This segmentation enables selective deployment to specific segments rather than blanket deployment to all users, reducing unnecessary resource consumption while maintaining effective coverage.
2Speed
If deployment systems use biased sampling without considering user behavior, then deployment speed is maintained, but deployment accuracy and effectiveness decrease
Solution Approach 1:
The patent incorporates feedback mechanisms by analyzing user behavior data, application usage patterns, and organizational context to continuously refine deployment profiles. This feedback loop enables the system to learn from past deployments and user responses, improving deployment accuracy while maintaining speed through automated profile-based decision-making.
Solution Approach 2:
The patent performs preliminary actions by pre-defining deployment profiles that encapsulate user characteristics, preferences, and organizational attributes before deployment decisions are made. This preliminary structuring of deployment criteria enables rapid, accurate deployment decisions without requiring complex real-time analysis, thus maintaining deployment speed while improving accuracy.
3Device complexity
If deployment systems do not integrate organizational impacts, then system complexity is reduced, but deployment effectiveness and user satisfaction decrease
Solution Approach 1:
The patent merges multiple dimensions of deployment considerations—including user behavior, organizational context, software requirements, and deployment constraints—into unified deployment profiles. This integration creates a comprehensive decision-making framework that balances various factors simultaneously, improving deployment effectiveness without creating unmanageable system complexity through structured profile-based processing.
Data Source
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AI summary
Methods, systems, and computer storage media for providing and removing deployment packages using deployment system operations of an integrated deployment strategy is disclosed. The integrated deployment strategy includes programmatically defined deployment operations that are associated with deployment profiles for intelligent structured and coordinated deployment of deployment packages. In operation, based on one or more scores (e.g., early adopter score, fit scores, usage propensity score) of a first set of deployment profiles for a first plurality of users, deployment operations are performed to cause execution of a deployment package for clients associated with the first plurality of users. Based on deployment data of the deployment package, the first set of deployment profiles, and a second set of deployment profiles, a second plurality of users are identified for executing the deployment package. The second plurality of users is associated with one or more scores of the second set of deployment profiles.