Cloud Policy Compliance Testing Across Heterogeneous Environments
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Solution Overview
Problem
Different cloud computing environments use different languages, data sources, and protocols, leading to issues like overlapping subnets and IP addresses, and varying policy application instructions, which complicates policy management across multiple cloud environments.
Innovation Solution
A system with a user interface, collectors, a controller, a configurator, testers, and an enforcer manages policies across multiple cloud environments by retrieving information, determining and applying policies, inspecting for violations, and responding to violations by reapplying policies or shutting down non-compliant instances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If different cloud computing environments use their own languages, data sources, commands, and protocols independently, then each environment can be managed according to its specific requirements, but policy management across multiple cloud environments becomes complex and inconsistent
Solution Approach 1:
The patent introduces a policy management system that acts as an intermediary between multiple cloud computing environments. This system includes a policy store that centralizes policy definitions, a policy translator that converts policies into environment-specific configurations, and enforcement mechanisms that operate across different clouds. The intermediary abstracts the heterogeneity of different cloud platforms (AWS, Azure, GCP, etc.) and provides unified policy management, thereby reducing complexity while maintaining adaptability to each environment's specific requirements
Solution Approach 2:
The policy management system is designed with universal functionality that can manage policies across diverse cloud environments through a single interface. The system translates universal policy definitions into environment-specific configurations, allowing one policy management mechanism to serve multiple cloud platforms. This multi-functional approach enables consistent policy enforcement across AWS, Azure, GCP, and other cloud providers without requiring separate management systems for each environment
2Productivity
If each cloud computing provider uses different methods to allocate subnets and IP addresses, then each provider can optimize resource allocation for its own environment, but instances within a network may have overlapping subnets and IP addresses
Solution Approach 1:
The policy management system performs preliminary actions by pre-defining network configuration policies that specify unique subnet and IP address allocation schemes across multiple cloud environments. These policies are established before instances are deployed, ensuring that resource allocation is coordinated from the outset. The system translates these pre-defined policies into environment-specific allocation methods, preventing overlaps before they occur while allowing each cloud provider to maintain its optimization strategies
Solution Approach 2:
The system implements feedback mechanisms that monitor network configuration across cloud environments and detect potential or actual overlaps in subnet and IP address allocations. When conflicts are detected, the system provides feedback to the policy translation process to adjust allocations and resolve conflicts. This continuous monitoring and adjustment ensures network configuration consistency while maintaining the productivity benefits of provider-specific allocation methods
3Ease of manufacture
If each cloud computing provider requires different instructions for applying policies, then each environment can receive optimized policy application, but the policy application process becomes inconsistent and difficult to manage
Solution Approach 1:
The policy translator component serves as an intermediary that receives universal policy definitions and automatically translates them into the specific instructions required by each cloud computing environment. This translation layer handles the heterogeneity of different policy application methods (AWS Service Control Policies, Azure Policy, GCP Organization Policies, etc.) while presenting a consistent policy management interface. The translator optimizes policy application for each environment while maintaining consistency across all clouds through centralized policy definitions
Solution Approach 2:
The system changes parameters by transforming universal policy parameters into environment-specific configuration parameters. The policy translator maps generic policy concepts (such as resource tags, access controls, network configurations) to the specific parameter sets required by each cloud provider. This parameter transformation enables optimized policy application for each environment while maintaining operational consistency through the unified policy definition interface
Data Source
AI summary
Systems and methods for testing compliance of an instance within a cloud computing environment. The method includes identifying a first policy selected from plurality of policies applied to a cloud instance during a predetermined time period. A testing schedule for the instance is retrieved, which specifies the frequency of compliance testing against each policy. A corresponding test module is retrieved to check compliance with the first policy. The method further includes determining whether the predetermined time period has expired, the predetermined time is measured from either the application of the policy or the last compliance test of the instance. If the predetermined time period has not elapsed, the method monitors the instance for receipt of an error message and if the predetermined time period has elapsed, the method executes the test module to evaluate the compliance of the first instance with the first policy.