Multi-Cloud Workload Assessment Using Unified Policy Frameworks
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Solution Overview
Problem
Existing cloud platforms lack a comprehensive framework for assessing and aligning dynamic cloud workloads with best practices, leading to inefficiencies, security vulnerabilities, and compliance issues across multiple cloud environments.
Innovation Solution
A multi-cloud assessment framework that defines dynamic cloud workloads using complex filters, executes policies against these workloads, and identifies violations, providing a user interface for continuous visibility and remediation guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If cloud platforms use their own established frameworks for building well-architected applications, then each platform achieves optimization for its specific infrastructure, but cross-platform consistency and comprehensive assessment capability deteriorate
Solution Approach 1:
The patent creates a universal multi-cloud assessment framework that can evaluate workloads across different cloud platforms (AWS, Azure, GCP, Oracle) using a single unified system. The framework defines cloud workloads generically and executes policies that are platform-agnostic, enabling one system to serve multiple cloud environments without requiring separate assessment tools for each platform.
Solution Approach 2:
The patent introduces an intermediary assessment framework layer that sits between the diverse cloud platforms and the assessment process. This framework translates various cloud-specific implementations into a common assessment language, allowing policies to be executed uniformly across different platforms without direct integration with each cloud provider's specific framework.
2Reliability
If cloud workloads are assessed against multiple frameworks and policies, then comprehensive compliance and security coverage is improved, but system complexity and assessment execution time increase
Solution Approach 1:
The patent segments the assessment framework into distinct modular components: workload definition modules, policy execution modules, and violation reporting modules. Each framework (AWS Well-Architected, Azure Well-Architected, etc.) is treated as a separate, independently executable policy set. This segmentation allows the system to manage complexity by handling each framework separately while maintaining comprehensive coverage through coordinated execution of all segments.
3Measurement precision
If dynamic cloud workloads are continuously monitored and assessed, then real-time visibility and compliance detection are improved, but computational overhead and resource consumption increase
Solution Approach 1:
The patent implements periodic assessment execution where policies are evaluated at scheduled intervals rather than continuously. The system can execute assessments on-demand or periodically, allowing dynamic cloud workloads to be monitored with sufficient frequency to detect compliance issues while avoiding the excessive computational overhead of truly continuous real-time assessment.
Data Source
AI summary
A method of a implementing a multi-cloud assessment framework for dynamic cloud workloads comprising: defining a plurality of dynamic cloud workloads, wherein the plurality of dynamic cloud workloads are defined by a complex set of filters; assessments combine a workload with a set of one or more frameworks; executing a plurality of polices defined in the multi-cloud assessment framework against plurality of dynamic cloud workloads; receiving a plurality of violations based on executing a plurality of polices defined in the multi-cloud assessment framework against plurality of dynamic cloud workloads; and showing plurality of violations to a user.