Cloud Platform Block Device Abnormality Auditing
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Solution Overview
Problem
In cloud platforms, managing block devices is complex due to multi-level management mechanisms, leading to difficulties in detecting and resolving abnormalities, which can result in wasted resources and service disruptions.
Innovation Solution
A method and apparatus for auditing block device abnormalities in a cloud platform that simplifies command logic and process execution by acquiring multipath-id sets, determining device path and multipath information, identifying information status, and filling audit statuses to quickly analyze faults and prevent service disruptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multi-level block device management mechanism is used, then device functionality and flexibility are improved, but problem detection and positioning become difficult and time-consuming
Solution Approach 1:
The patent implements an auditing mechanism that continuously monitors and collects status information from multiple block device management levels (cloud platform, storage system, host operating system). This feedback loop enables automatic detection of abnormalities and generates audit reports that highlight issues across different management layers, making problem detection systematic rather than manual.
Solution Approach 2:
The patent divides the complex multi-level block device management system into distinct auditable components: cloud platform level, storage system level, and host operating system level. Each level is audited separately with specific audit items tailored to that level's characteristics, allowing problems to be isolated and positioned accurately without being overwhelmed by the complexity of the entire system.
2Reliability
If manual problem handling is performed by operation and maintenance personnel, then professional knowledge can be applied, but response time is delayed and service impact increases
Solution Approach 1:
The patent performs auditing actions in advance by continuously monitoring block device status across multiple levels before problems manifest as service failures. The system proactively identifies abnormalities such as inconsistent device paths, missing multipath configurations, or storage system errors, and generates audit reports that enable early intervention, reducing both response time and service impact.
Solution Approach 2:
The auditing mechanism operates automatically without requiring continuous manual intervention. The system self-monitors block device status, collects information from various management levels, analyzes abnormalities, and generates audit reports autonomously. This automation maintains high problem handling quality while eliminating delays associated with manual detection and analysis.
3Measurement precision
If comprehensive auditing of all block device levels is performed, then detection accuracy is improved, but command logic and process execution become complex
Solution Approach 1:
The patent applies different audit depths and focus areas to different management levels based on their specific characteristics and risk profiles. For example, the cloud platform level audits resource allocation and mounting status, the storage system level audits device paths and connectivity, and the host operating system level audits multipath configurations and device recognition. This localized auditing approach maintains high detection accuracy while avoiding the complexity of applying uniform comprehensive auditing to all levels.
Data Source
AI summary
Provided is a method for auditing an abnormality of a block device in a cloud platform. By automatically auditing abnormal data of a path layer and a multipath layer, the accuracy of multipath and path information on a host and whether a link has a fault may be quickly analyzed, operation and maintenance personnel may discover problems as soon as possible, the problem troubleshooting steps are simplified, the operation and maintenance personnel are liberated from complex work of manual troubleshooting, the troubleshooting capability of a cloud computing platform is improved, the work of the operation and maintenance personnel is simplified, and the problems are rapidly positioned.