Declarative Specification Auditing for Cloud Data Center Provisioning
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Solution Overview
Problem
Existing cloud computing platforms face challenges in auditing changes made to platform-independent declarative specifications of data centers, which are subsequently provisioned and deployed on target cloud platforms, leading to complexities in tracking and managing large-scale data center infrastructure.
Innovation Solution
A system that generates and stores snapshots of modified platform-independent declarative specifications, associates them with unique identifiers, and tags platform-specific metadata representations, ensuring that changes can be tracked and audited throughout the provisioning and deployment process, enabling efficient auditing of data center entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If continuous delivery platforms are used to manage large data centers on cloud platforms, then automation and deployment capability are improved, but system complexity and difficulty of maintenance increase significantly
Solution Approach 1:
The patent segments the data center management system into multiple independent components: declarative specification layer, compilation layer, provisioning layer, and audit layer. Each layer handles specific functions independently, reducing overall system complexity while maintaining automation capabilities.
Solution Approach 2:
The patent introduces an intermediary compilation system that translates high-level declarative specifications into platform-specific deployment configurations. This intermediary layer abstracts away the complexity of cloud platform specifics from the user's declarative definitions, enabling automation without exposing users to underlying complexity.
2Adaptability or versatility
If platform-independent declarative specifications are used for provisioning data centers, then adaptability and portability are improved, but difficulty of tracking and auditing changes increases
Solution Approach 1:
The patent implements a comprehensive feedback mechanism through the audit system that automatically tracks changes to declarative specifications, generates snapshots, and maintains version history. This feedback loop provides visibility into changes while preserving the benefits of platform-independent specifications.
Solution Approach 2:
The patent creates snapshots (copies) of declarative specifications at different stages of the provisioning process. These snapshots serve as auditable records that can be tracked and compared, enabling change detection without constraining the use of platform-independent formats.
3Reliability
If snapshots of modified specifications are stored and associated with unique identifiers, then audit capability and traceability are improved, but information storage requirements and processing overhead increase
Solution Approach 1:
The patent extracts only the essential audit information from full specification snapshots, storing unique identifiers and change metadata separately from the complete specification content. This extraction approach maintains audit capability while reducing storage requirements for historical data.
4Reliability
If comprehensive auditing of data center entities is implemented, then compliance and management transparency are improved, but system complexity and processing time increase
Solution Approach 1:
The patent performs preliminary actions by automatically generating snapshots and audit records during the normal provisioning and deployment process, rather than requiring separate audit operations. This integration ensures compliance tracking without adding significant processing time to the main workflow.
Data Source
AI summary
A system is presented for provisioning resources on a target cloud platform based on a platform-independent specification of a data center. The system identifies data center entities represented within the platform-independent declarative specification and generates data structures and metadata representations of the data center entities. The system then generates instructions for provisioning services or deploying applications for creating one or more services on the target cloud platform based on the data structures and metadata representations of the data center entities according to the declarative specification. The system sends the generated instructions for execution on the target cloud computing platform, where the target cloud computing platform executes the instructions to generate the data center. The system provides users with access to the computing resources of the data center created by the cloud computing platform.


