Custom Host Error Definition Service for Distributed Systems
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Solution Overview
Problem
Existing services for monitoring computing systems lack flexibility in defining error conditions, as different customers have varying tolerances for the same status values, leading to inconsistent identification of errors and inadequate response actions.
Innovation Solution
A custom host errors definition service that allows customers to create separate endpoints to define custom error conditions for host computing systems, specifying attributes, error conditions, and actions, enabling tailored error detection and response strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a standardized error definition service is used, then service simplicity and ease of operation are improved, but adaptability to different customer requirements deteriorates
Solution Approach 1:
The error definition service is segmented into multiple independent endpoints, each serving different customer needs. The service divides functionality into standardized error definitions (for simple cases) and custom error definitions (for specialized needs), allowing customers to select the appropriate level of customization without overwhelming complexity.
Solution Approach 2:
Different endpoints provide different levels of error definition capability tailored to specific customer requirements. Some customers receive simple standardized error definitions, while others access custom error definition capabilities with full flexibility. Each endpoint is optimized for its specific purpose, providing local quality rather than uniform functionality.
2Adaptability or versatility
If custom error definitions are allowed for each customer, then adaptability to different customer requirements is improved, but device complexity increases
Solution Approach 1:
The service architecture segments custom error definition functionality into separate, well-defined endpoints. This segmentation isolates complexity to specific components while maintaining simplicity in other areas. Customers accessing custom definitions interact with dedicated endpoints that handle only customization logic, while standardized endpoints remain simple.
Solution Approach 2:
The service performs preliminary actions by establishing clear endpoint definitions and validation rules before customers attempt to define custom errors. Error definitions are pre-validated against schemas, and the service pre-processes customer inputs to ensure consistency. This preliminary structuring prevents complexity from escalating during error definition operations.
3Stability of the object's composition
If standardized error definitions are used, then consistency in error identification is improved, but measurement precision of customer-specific error conditions deteriorates
Solution Approach 1:
The error identification system is segmented into two parallel pathways: standardized error identification for consistency, and custom error identification for precision. Each pathway operates independently with its own validation rules and interpretation logic, allowing both consistency and precision to coexist without interfering with each other.
Solution Approach 2:
Different error identification strategies are applied locally based on customer needs. Standardized endpoints apply uniform error identification rules for consistency, while custom endpoints apply customer-specific rules for precision. The service selects the appropriate identification strategy based on the endpoint and customer requirements, providing local quality optimization.
Data Source
AI summary
A custom host errors definition service is provided. The custom host errors definition service can create separate endpoints through which different customers can define custom host errors for one or more host computing systems, which might operate in a distributed execution environment. A custom host error definition can specify one or more host computing systems, one or more system components of the one or more host computing systems, one or more attributes, one or more error conditions for the one or more attributes, and one or more actions to perform as a result of the error conditions being satisfied. The error conditions can be, but are not limited to, threshold conditions, component failure conditions, missing hardware conditions, degraded hardware conditions, system firmware failures, incorrect firmware conditions, and the like.