Configuration Engine for Automated Compliance Verification
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Solution Overview
Problem
Traditional computing systems lack comprehensive attention to configuration management of applications, microservices, and vendor products, leading to misconfigurations that can cause security breaches, performance issues, and data loss, exacerbated by siloed operations and lack of ready availability of configuration information.
Innovation Solution
A method and system for efficient configuration compliance verification using a configuration engine that discovers resources, generates environment definitions, builds baseline configurations, and automatically scans for misconfigurations, with capabilities for remediation and root cause prediction through machine learning, compatible with multi-layered system architectural models and various computing environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If configuration management is implemented across applications, microservices, and vendor products, then security and reliability improve, but system complexity increases
Solution Approach 1:
A configuration engine is introduced as an intermediary component that automatically manages configuration compliance. This engine queries metadata from multiple sources (cloud management systems, container orchestration systems, virtualization systems) and generates environment definitions that capture configuration requirements, thereby reducing the complexity burden on individual systems while maintaining comprehensive configuration management.
Solution Approach 2:
The configuration management function is segmented into discrete components: metadata queries from different system layers, environment definition generation, baseline configuration building, and compliance verification. This segmentation allows each component to handle specific aspects of configuration management independently, making the overall system more manageable despite the comprehensive scope.
2Object-affected harmful factors
If continuous monitoring and verification of configurations is implemented, then security breaches and data loss risks reduce, but computational resources and time consumption increase
Solution Approach 1:
The system performs preliminary actions by querying metadata and generating environment definitions before actual compliance verification occurs. By pre-building baseline configurations and storing them in a repository, the system can rapidly verify current configurations against established standards without time-consuming real-time analysis during compliance checks.
Solution Approach 2:
Instead of continuously analyzing all configuration data in real-time, the system creates a simplified representation (environment definition) that captures essential configuration requirements. This copy allows rapid verification against actual configurations without processing the entire complex configuration landscape continuously.
3Difficulty of detecting and measuring
If configuration information is made readily available across the system, then misconfiguration detection improves, but data management complexity increases
Solution Approach 1:
Metadata serves as an intermediary layer that bridges configuration information from various sources to the configuration engine. This standardized metadata format consolidates configuration data from cloud management systems, container orchestration systems, and virtualization systems into a unified structure that is easily queried and processed.
Solution Approach 2:
The metadata query mechanism is designed to be universal, working across multiple system layers and technologies simultaneously. The same query process retrieves configuration information from cloud infrastructure, container platforms, and virtualization systems, eliminating the need for separate data collection mechanisms for each system type.
Data Source
AI summary
A method includes executing a configuration engine on one or more data processing device(s) of a computing system. In accordance with the execution, the method also includes discovering at least a subset of a number of resources associated with a target environment of the computing system, generating an environment definition associated with the target environment, building baseline configurations, policies and metadata for at least the subset of the number of resources, and versioning the aforementioned data. Further, the method includes, in accordance with tracking the metadata versioned in the repository, automatically scanning at least the subset of the number of resources and retrieving a first and/or a second specific configuration based on the scanning, and automatically determining a misconfiguration based on comparing the first specific configuration to a corresponding baseline configuration and/or verifying that a sequence of configurations is correctly defined based on the second specific configuration.