Event-Triggered Resource Validation for Real-Time Deployment Checks
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Solution Overview
Problem
Conventional data and resource management techniques are reactive and fail to provide real-time detection of invalid resources, leading to delayed detection and deployment of invalid resources across multiple applications, resulting in reduced computing resource availability.
Innovation Solution
A system for real-time resource validation using a resource aggregator and validators, which aggregates data into unique units and validates resources based on events or triggers, allowing for on-demand or manual validation through an API, and operates in serverless computing environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional reactive data management techniques are used, then system complexity is reduced, but detection time of invalid resources increases and resource availability decreases
Solution Approach 1:
The system performs validation actions in advance before resources are deployed to applications. The validation framework proactively checks resource validity using validators that monitor resources continuously, detecting issues before they cause downstream problems. This preliminary detection and validation prevents invalid resources from being deployed, resolving the contradiction between early detection and system complexity.
2Reliability
If real-time validation is implemented, then resource availability improves, but device complexity increases
Solution Approach 1:
The validation system is segmented into independent components: a validation framework, multiple specialized validators (each monitoring specific resource types), and event triggers. This segmentation allows the system to achieve comprehensive real-time validation without monolithic complexity, as each validator operates independently and can be managed separately.
Solution Approach 2:
The validation framework acts as an intermediary layer between resource providers and application consumers. It mediates the validation process by receiving resources, validating them through appropriate validators, and returning validation results. This intermediary approach centralizes complexity in a manageable framework while keeping the rest of the system simple.
3Reliability
If delayed detection of invalid resources is used, then system complexity is minimized, but the number of applications affected by invalid resources increases
Solution Approach 1:
The validation system implements self-service through automatic validation triggers that fire whenever resources are created, modified, or deleted. The framework autonomously validates resources without requiring manual intervention or complex detection mechanisms. Validators automatically monitor resources and report validity status, enabling the system to detect and report invalid resources immediately without adding significant complexity.
Data Source
AI summary
Techniques for improved data and/or resource validation provide a real-time validation of data and resources. A resource may include an aggregation of related data into a single unique unit. The validation may be performed based on one or more events or triggers, such as on the occurrence of a data change, deployment of an application, when the resource(s) are utilized, etc. The validation may be on demand (e.g., based on one or more events and/or triggers) and/or manually (e.g., via a call via an application program interface by a user).