Cloud Usage Metrics Filtering for Secure Short-Form Queries
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Solution Overview
Problem
Cloud service providers face challenges in efficiently sharing usage metrics for cloud computing resources due to the vast amounts of real-time data requiring constant monitoring, security, and access restrictions, making it difficult to format and share data in a usable format across different datasets and dashboards.
Innovation Solution
A system that determines a dataset for generating a response to a query, filters a portion of the dataset available to the user, and provides a short-form communication of the response, overcoming security and access restrictions by using APIs and AI models to integrate and format data for user interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If usage metrics data is shared across multiple datasets and dashboards, then data accessibility and usability are improved, but security risks and access control complexity increase
Solution Approach 1:
The system segments usage metrics data into multiple datasets, each associated with specific dashboards and access credentials. This allows different portions of data to be accessed by different users based on their authorization, improving security while maintaining accessibility where needed
Solution Approach 2:
The system introduces an intermediary layer that manages access credentials and controls data sharing between datasets and dashboards. This intermediary enforces access restrictions and security policies, enabling safe data sharing across the system
2Loss of information
If real-time usage metrics data is monitored and formatted for multiple users, then information completeness is improved, but processing time and system complexity increase
Solution Approach 1:
The system performs preliminary actions by pre-formatting and preparing usage metrics data in standardized structures before user requests. This reduces processing time when users query the data, as the formatting work has already been completed
Solution Approach 2:
The system changes data parameters by transforming raw usage metrics into formatted, user-friendly representations. This parameter transformation maintains information completeness while optimizing presentation for different user needs
3Ease of operation
If data is formatted into usable formats for user interfaces, then ease of operation is improved, but processing complexity and time increase
Solution Approach 1:
The system implements universal data formatting that produces outputs suitable for multiple user interface types and consumption methods. This multi-functional formatting approach improves usability across different platforms while avoiding the need for separate processing pipelines for each format
Data Source
AI summary
The systems and methods disclosed herein allow the cloud services to better apportion cloud resources between multiple cloud services recipients. The systems and methods accomplish this by both accessing the relevant data (e.g., despite existing security and/or access restrictions) as well as providing it in a short-form communication (e.g., in a format that is usable). The systems and methods accomplish this by first determining a dataset for generating a response to a query and then determining a portion of the dataset that is available to the user.