Unified Message Queue API for Multi-Application Platform Integration
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Solution Overview
Problem
Multi-application platforms face inefficiencies due to disparate message queue implementations, requiring developers to have specific knowledge of various queue behaviors and implementations, which complicates communication between applications and hinders integration and flexibility.
Innovation Solution
A common message queue architecture and application programming interface (API) are introduced, allowing applications to specify desired queue behaviors without needing to know the underlying implementation, supporting multiple implementations and allowing integration of legacy systems, with features like priority ordering and yield capabilities to prevent message starvation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple disparate message queue implementations are supported, then the platform can accommodate different queue behaviors and requirements, but the device complexity and difficulty of operation increase due to developers needing specialized knowledge of each implementation
Solution Approach 1:
The patent introduces a common message queue architecture that acts as an intermediary layer between applications and multiple queue implementations. This architecture provides a unified interface that abstracts the complexity of different implementations, allowing developers to work with a single standardized API while the system handles routing to appropriate underlying implementations (e.g., RabbitMQ, Kafka, in-memory queues). The mediator pattern resolves the contradiction by hiding implementation diversity behind a consistent interface.
Solution Approach 2:
The common message queue architecture is designed to perform multiple functions: it provides a unified interface for all queue operations, routes messages to appropriate implementations based on configuration, manages queue creation and lifecycle, and handles different queue behaviors (FIFO, priority, bounded). This multi-functional design allows a single system to replace multiple specialized queue managers, reducing operational complexity while maintaining support for diverse implementations.
2Reliability
If developers must specify particular queue implementations, then precise control over queue behavior is achieved, but the ease of operation decreases due to requiring specialized knowledge
Solution Approach 1:
The system implements self-service by automatically selecting and configuring appropriate message queue implementations based on application requirements and system state. Instead of requiring developers to manually specify implementations, the common architecture automatically routes requests to suitable queues (e.g., selecting in-memory queues for high-speed local communication, persistent queues for distributed systems). This automation maintains reliability through intelligent selection while dramatically improving ease of operation.
Solution Approach 2:
The patent employs parameter changes by allowing the system to dynamically adjust queue behavior parameters based on configuration and runtime conditions. The common architecture accepts high-level parameters from applications (e.g., durability requirements, throughput needs) and automatically translates these into implementation-specific configurations. This parameter transformation layer preserves precise control over queue behavior while shielding developers from implementation complexity.
3Adaptability or versatility
If legacy queue implementations are integrated, then extensibility and flexibility improve, but the device complexity increases due to maintaining multiple integration points
Solution Approach 1:
The patent applies segmentation by dividing the message queue system into distinct modular components: a common architecture layer that handles unified interface and routing logic, and separate adapter layers for each legacy implementation. Each legacy queue system (e.g., old RabbitMQ versions, proprietary queues) gets its own adapter module that translates between the common interface and implementation-specific protocols. This segmentation allows legacy integration without complicating the core architecture, as each integration point is isolated in its own adapter.
Data Source
AI summary
Non-volatile memory may contain definitions of: (i) a plurality of message queue implementations respectively associated with different queue behaviors, the different queue behaviors specified by corresponding sets of modes, and (ii) an application programming interface (API) through which applications can access one or more message queues. One or more processors may be configured to: create a message queue of a particular message queue type, supported by a corresponding message queue implementation, by specifying a set of modes corresponding to a queue behavior; receive, from a producing application and by way of the API, one or more messages for the message queue; store the one or more messages in a data structure associated with the message queue; receive, from a consuming application and by way of the API, a request to read from the message queue; and provide a message from the message queue to the consuming application.