Dynamic Cloud Catalog Aggregation for Resource Selection
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Solution Overview
Problem
Current cloud catalogs are static and lack relevant information, such as user feedback, metrics, and support documentation, making it difficult for users to select and implement appropriate cloud resources, especially when multiple resources are required for complex solutions like front-end and back-end applications.
Innovation Solution
A dynamic cloud solution catalog system that aggregates workload data, resource consumption data, and user-provided information to create a robust and enriched catalog list, including supplementary information like user feedback, metrics, and documentation, and uses a suggestion engine to provide tailored resource recommendations based on user inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a static cloud catalog is provided with basic resource lists, then the system structure remains simple, but the catalog lacks relevant information such as user feedback, metrics, and support documentation
Solution Approach 1:
The patent merges multiple information sources including event data, usage/account information, monitored information, and document information into a single dynamic catalog list. The aggregation system combines these diverse data types to create enriched catalog entries that include supplementary information such as user feedback, metrics, and documentation, thereby resolving the contradiction between information completeness and system complexity.
Solution Approach 2:
The patent transforms the static cloud catalog into a dynamic structure that continuously updates and enriches itself. The dynamic catalog list is generated by continuously aggregating new data from multiple sources, allowing the catalog to evolve and adapt over time while maintaining comprehensive and relevant information for users.
2Adaptability or versatility
If a fixed solution catalog is provided, then the implementation process is simple, but the catalog cannot provide flexibility for complex solutions requiring multiple images
Solution Approach 1:
The patent segments the catalog into individual resource items, each with its own set of attributes and supplementary information. This segmentation allows users to select and combine multiple resources flexibly to meet complex solution requirements, rather than being constrained by fixed pre-configured solutions. Each segmented entry can be independently configured and combined.
Solution Approach 2:
The patent enables parameter changes in the catalog by allowing dynamic modification of resource configurations, selections, and combinations based on user requirements. The system can adapt catalog parameters such as resource types, quantities, and configurations to match diverse solution needs, providing flexibility while managing complexity through structured parameter management.
3Ease of operation
If minimal catalog information is provided, then the system remains simple to operate, but users receive little guidance for selecting and implementing cloud resources
Solution Approach 1:
The patent incorporates feedback mechanisms by collecting and displaying user feedback, metrics, and monitored information within the catalog entries. This feedback information provides users with practical guidance and real-world performance data to inform their resource selection decisions, making the system easier to operate while enriching it with valuable user-generated information.
Solution Approach 2:
The patent introduces intermediary elements such as supplementary information fields, metadata, and organized data structures that mediate between the raw data sources and the user interface. These intermediaries process and present complex information in user-friendly formats, making the system easy to operate while providing comprehensive guidance through structured information presentation.
Data Source
AI summary
A cloud infrastructure is disclosed that includes: a cloud portal for providing user access to cloud resources; a cloud catalog database having a catalog list of cloud resources; a cloud catalog solution generator that populates the cloud catalog database, wherein the cloud catalog solution generator includes: a first interface process for receiving event data for resources associated within a cloud infrastructure; a second interface process for receiving usage/account information, monitored information, and document information; an aggregation system that continuously aggregates the event data with the usage/account information, monitored information, and document information to create a dynamic catalog list having supplementary information for items in the catalog list; and a third interface process for outputting the dynamic catalog list to a cloud catalog database; and a cloud catalog suggestion engine that processes user inputs entered via the cloud portal and outputs a set of suggested items from the cloud catalog database.