Microapp Server Subscription Automation
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Solution Overview
Problem
The administration of microapp subscriptions in organizations is inefficient due to reliance on human knowledge and intuition, leading to unknown relevant microapps being overlooked and infrequently used microapps remaining subscribed, which wastes resources and reduces user productivity.
Innovation Solution
A framework that analyzes user interaction data to generate recommendations for subscribing to frequently used microapps and unsubscribing from infrequently used ones, aligning microapp subscriptions with user needs and reducing administrative burden by automating the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If manual administration of microapp subscriptions is used, then human knowledge and intuition can be applied, but relevant microapps are overlooked and resources are wasted
Solution Approach 1:
The system automatically monitors microapp usage and generates subscription recommendations without requiring manual human intervention. The microapp server self-updates subscription information based on observed usage patterns, eliminating the need for administrators to manually track which microapps are relevant or frequently used.
Solution Approach 2:
The system continuously collects usage data from endpoints and feeds this information back to the microapp server. This feedback loop enables the system to automatically identify frequently used microapps and generate appropriate subscription recommendations, ensuring subscription information remains current without manual intervention.
2Ease of operation
If manual tracking of microapp usage is performed, then administrative control is maintained, but the process is inefficient and time-consuming
Solution Approach 1:
The microapp server automatically performs the entire subscription management process including monitoring usage, analyzing patterns, generating recommendations, and updating subscription information. This eliminates the need for administrators to manually track and manage microapp subscriptions, significantly reducing administrative time and effort.
Solution Approach 2:
The system proactively monitors usage patterns and generates subscription recommendations before administrators would need to manually review them. By performing the analysis and recommendation generation in advance, the system eliminates the need for time-consuming manual administrative processes.
3Extent of automation
If automated recommendation system is implemented, then administrative burden is reduced, but system complexity increases
Solution Approach 1:
The microapp server performs multiple functions including hosting microapps, collecting usage data, analyzing patterns, generating recommendations, and updating subscription information. By consolidating these diverse functions into a single multi-functional server, the system achieves high automation without proportionally increasing overall system complexity.
Solution Approach 2:
The microapp server acts as an intermediary between endpoints and the subscription management process. It collects usage data from endpoints, processes this information, and generates recommendations, thereby simplifying the overall system architecture by centralizing the automation logic in a single intermediary component rather than distributing complexity across multiple systems.
Data Source
AI summary
A system that comprises a microapp server includes a memory and at least one processor coupled to the memory. The microapp server is configured to generate a recommendation to modify a set of one or more subscribed microapps. The microapp server is configured to gather observational data that characterizes interactions of a user with an endpoint. The user is associated with the set of one or more subscribed microapps. The microapp server is further configured to identify, based on the observational data, a modification to the set of one or more subscribed microapps. The microapp server is further configured to send, to an administration console, the recommendation to modify the set of one or more subscribed microapps in accordance with the identified modification.