Cloud Infrastructure Drift Detection with Infrastructure Diagrams
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Solution Overview
Problem
Current cloud infrastructure management systems lack continuous monitoring for configuration changes, leading to synchronization issues between cloud components and diagrams, security risks, and difficulty in rolling back to approved architectures.
Innovation Solution
Implementing an Infrastructure as a Diagram (IAD) system that uses AI-powered drift detection to monitor and maintain cloud infrastructure, ensuring synchronization, compliance, and security by detecting and remediating configuration drifts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If infrastructure-as-code tools like Terraform are used to automate provisioning and management of cloud resources, then productivity and automation extent are improved, but device complexity and integration compatibility worsen because these tools may not be supported by a customer's primary cloud management platform
Solution Approach 1:
The patent introduces an intermediary component that acts as a bridge between the infrastructure-as-code tools (like Terraform) and the cloud management platform. This intermediary translates and coordinates operations between the two systems, enabling automation benefits while maintaining compatibility with the existing cloud management platform. The intermediary handles the complexity of integration internally, allowing both systems to work together without requiring direct complex integration.
2Manufacturing precision
If manual code writing and validation is performed for each cloud component in infrastructure-as-code, then manufacturing precision and control are improved, but loss of time and productivity worsen due to repetitive manual coding, validation, and synchronization tasks
Solution Approach 1:
The patent implements self-service automation where the system automatically performs code generation, validation, and synchronization tasks without requiring manual intervention. The cloud management platform automatically generates infrastructure-as-code snippets based on visual diagram selections, validates them against predefined rules, and maintains synchronization between diagrams and code automatically. This eliminates the need for developers to manually write and validate code for each component, significantly reducing time loss while maintaining configuration precision through automated validation rules.
3Ease of operation
If cloud infrastructure changes are made directly without continuous monitoring, then ease of operation is improved, but reliability and security worsen due to undetected configuration drifts from approved architecture
Solution Approach 1:
The patent implements a continuous feedback mechanism where the cloud management platform automatically monitors and detects configuration changes in the cloud infrastructure. When drift from the approved architecture is detected, the system provides feedback through alerts and notifications to the users. This feedback loop maintains reliability by ensuring configuration consistency is continuously verified, while ease of operation is preserved because the monitoring is automated and does not require manual intervention for each change.
4Ease of repair
If version control and rollback capability are implemented for infrastructure-as-code, then reliability and ease of repair are improved, but device complexity and information storage requirements worsen
Solution Approach 1:
The patent implements version control by automatically creating and storing copies of infrastructure-as-code configurations at different versions. When a rollback is needed, the system retrieves the previous version copy and applies it, enabling easy restoration of the original infrastructure state. The copying mechanism is automated and integrated into the platform, managing the complexity of version control internally while providing simple rollback functionality to users. This approach balances ease of repair with acceptable system complexity through automated copy management.
Data Source
AI summary
Embodiments herein disclose systems and methods for managing drift while managing cloud infrastructures. The system automatically maintains a baseline snapshot in a cloud infrastructure with a detailed and a structured view of a deployed environment. Further, the system monitors the cloud infrastructure as an Infrastructure as a diagram (IAD) for at least one drift using at least one detection technique. Further, the system detects the at least one drift including a resource configuration drift and a compliance drift. The system generates at least one of: an alert and an action for the detected at least one drift.