Cloud Subscription Optimization System
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Solution Overview
Problem
Existing systems for managing cloud service subscriptions lack efficiency in optimizing values and services, leading to users subscribing to unnecessary services and incurring higher costs due to static rule reports and logs that fail to dynamically adjust based on usage and authorization information.
Innovation Solution
A system and method that utilize a data processor to retrieve usage and authorization information, and optimize cloud services by unsubscribing users from unused services, employing a service abstraction layer and infrastructure optimizer to provide a unified interface for managing subscriptions and optimizing costs through machine learning models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users subscribe to multiple cloud services from different providers, then service coverage and functionality are improved, but subscription costs and complexity increase
Solution Approach 1:
The patent introduces an intermediary system that acts as a mediator between users and multiple cloud service providers. This system consolidates subscription management, analyzes usage patterns across services, and automatically optimizes subscriptions by identifying and canceling redundant services. The intermediary handles the complexity of managing multiple subscriptions while users benefit from simplified oversight and reduced costs.
2Ease of manufacture
If static rule reports and logs are used for decision analysis, then implementation simplicity is maintained, but optimization effectiveness and adaptability deteriorate
Solution Approach 1:
The patent transitions from static rule-based reports to a dynamic optimization system that continuously analyzes usage information and automatically adjusts subscription configurations. The system adapts to changing usage patterns in real-time, making optimization decisions based on current data rather than predetermined static rules, thereby significantly improving optimization effectiveness while maintaining automated operation.
3Reliability
If comprehensive cloud services are subscribed to ensure coverage, then service availability is improved, but unnecessary subscriptions and costs increase
Solution Approach 1:
The patent implements a feedback-driven optimization system that continuously monitors actual usage of subscribed cloud services. By analyzing usage patterns and feedback data, the system identifies services that are subscribed to but not actively used. It then automatically cancels these unnecessary subscriptions, reducing costs while maintaining subscriptions to services that provide actual value and ensure service availability where needed.
Data Source
AI summary
Systems, methods, and techniques to efficiently optimize values associated with subscription services. The method includes retrieving usage information relating to one or more cloud services subscribed to by a user and provided by a plurality of cloud service providers. The method further includes determining, by the at least one processor and in response to the retrieving, authorization information and value information associated with the user and the one or more cloud services. The method further includes optimizing, by the at least one processor and in response to the determining, a number of cloud services and/or a value associated with the number of cloud services based on the usage information, authorization information, and value information.