Persona Profile Refiner for Hybrid Multi-Cloud Observability
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In a hybrid multi-cloud environment, existing logging approaches are system or application-centric, leading to difficulties in validating or enforcing policies across multiple cloud environments, and conventional solutions are specific to a target cloud, making it challenging to manage and refine persona profiles and probes effectively.
Innovation Solution
A computer-implemented method and system that creates a persona profile associated with a persona, identifies a probe, and deploys it to multiple cloud environments to generate probe data, which is then verified to refine the persona profile and probe based on analysis of verification data, enabling effective observability and assurance across hybrid multi-cloud environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional logging approaches are used in hybrid multi-cloud environments, then system or application centric data collection is achieved, but difficulty in validating or enforcing policies across multiple cloud environments occurs
Solution Approach 1:
The patent creates a universal persona profile framework that functions across multiple cloud environments (AWS, Azure, GCP, on-premises). The persona profile contains cloud-agnostic configurations that can retrieve and validate data across different cloud infrastructures, enabling single framework to serve multiple cloud platforms simultaneously.
Solution Approach 2:
The patent segments the logging system into persona profiles, probes, and verification components that can be independently configured and deployed across different cloud environments. This segmentation allows policy validation to be applied uniformly across multiple clouds while maintaining environment-specific flexibility.
2Reliability
If conventional cloud-specific solutions are implemented, then target cloud specificity is achieved, but difficulty in managing and refining persona profiles and probes across multiple clouds occurs
Solution Approach 1:
The patent implements a universal persona profile structure that maintains cloud-agnostic configurations while supporting deployment across multiple cloud environments. The profile framework handles authentication, authorization, and data retrieval in a unified manner, reducing the complexity of managing cloud-specific implementations.
Solution Approach 2:
The patent introduces persona profiles as intermediary abstractions between the logging system and underlying cloud infrastructures. These profiles serve as mediators that translate cloud-agnostic requirements into cloud-specific implementations, simplifying cross-cloud management while maintaining reliability of cloud-specific operations.
3Loss of information
If persona profiles and probes are deployed to multiple cloud environments, then observability across hybrid multi-cloud is improved, but continuous verification and refinement requirements increase system complexity
Solution Approach 1:
The patent implements automated verification processes that continuously check whether persona profiles and probes are retrieving expected data across cloud environments. The system generates verification data and provides feedback loops that automatically refine profiles and probes based on observed performance, reducing manual intervention complexity.
Solution Approach 2:
The patent enables persona profiles and probes to self-refine through automated verification processes. The system automatically detects data retrieval issues, generates refinement recommendations, and updates configurations without requiring manual intervention, thereby managing complexity through self-service mechanisms.
Data Source
AI summary
Provided are techniques for a persona profile and a probe refiner with distributed hybrid multi-cloud observability assurance. A persona profile is created, where the persona profile is associated with a persona and comprises a configuration that identifies data to be retrieved for the persona. A probe is identified for the persona profile. The persona profile and the probe are deployed to one or more cloud environments of a hybrid multi-cloud environment to generate probe data. The probe data is verified to determine whether the data to be retrieved for the persona has been retrieved and to generate verification data. The verification data is analyzed to generate one or more recommendations to refine at least one of the persona profile and the probe. At least one of the persona profile and the probe are refined based on the one or more recommendations.