Unified Infrastructure Query Platform for Cloud-Native Operations
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Solution Overview
Problem
Current infrastructure and security analytics for cloud-native applications lack a unified platform for accessing and managing infrastructure operations, configurations, states, and associated data, leading to fragmented solutions and reduced transparency.
Innovation Solution
A Distributed Data Query Language (DDQL) is introduced, enabling users to query infrastructure information by traversing relational structures, aggregating metadata, and establishing relationships between resources, providing a unified platform for DevOps and SecOps teams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate tools and scripts are used to manage vulnerabilities, policies, and infrastructure, then each tool can be specialized and optimized, but the overall system complexity increases and a unified view of infrastructure is lost
Solution Approach 1:
The patent merges multiple separate tools (vulnerability scanners, policy scanners, CMDBs, data stores) into a unified query platform. The DDQL language enables users to query infrastructure information from all these sources through a single interface, eliminating the need to manage and switch between multiple specialized tools while maintaining their individual capabilities.
Solution Approach 2:
The query platform provides universal access to multiple infrastructure domains (vulnerabilities, policies, configurations, states) through a single unified interface. The DDQL language serves multiple functions including data querying, relationship navigation, and aggregation across different infrastructure components, replacing the need for multiple specialized tools.
2Adaptability or versatility
If different teams use different mechanisms to access infrastructure state, then each team can access data in their preferred format, but different versions of reality are created and transparency is reduced
Solution Approach 1:
The DDQL query platform acts as an intermediary layer between different teams and the infrastructure. Instead of each team directly accessing infrastructure through their own mechanisms, they all query through this unified platform which standardizes the data representation and ensures everyone sees the same version of infrastructure state, maintaining transparency while allowing flexible query capabilities.
3Adaptability or versatility
If manual work and scripts are used to track infrastructure changes, then flexibility in handling edge cases is maintained, but productivity and efficiency are reduced
Solution Approach 1:
The query platform enables self-service querying of infrastructure information through DDQL. Users can directly query the infrastructure state, relationships, and changes without requiring manual scripting or intermediate processing steps. The platform automatically handles data aggregation, relationship navigation, and filtering, significantly improving efficiency while maintaining the ability to handle complex queries through the expressive DDQL language.
Data Source
AI summary
Provided herein are systems and methods for querying data. The method comprises: (a) receiving a input query from a user to examine an object; (b) traversing a graph to identify one or more resources for collecting data based on the input query; and (c) aggregating the data to construct a view for the object. The view comprises information about metadata of the object or a relationship between the object and the one or more resources.