Message Queue Migration for A/B Release Data Consistency
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Solution Overview
Problem
During application updates, existing techniques fail to maintain data consistency in message queues, leading to degradation and loss of data consistency, resulting in service errors and inefficient storage management, especially in A/B testing environments where differences in application versions cause inconsistencies and obsolete data accumulation.
Innovation Solution
A migration plan for message queues is implemented, where communication channels are transferred between two Redis message queues, ensuring data consistency and continuous message communication between release groups during application updates, with a queue manager managing the migration of communication channels between message queues based on deployment stages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all data from multiple deployments is maintained on one storage, then data availability is improved, but storage efficiency deteriorates due to obsolete data accumulation
Solution Approach 1:
The patent segments the single storage system into multiple version-specific storage areas (first version data storage area, second version data storage area, etc.). Each deployment version has its dedicated storage space, allowing obsolete data to be automatically isolated and cleaned up while maintaining access to historical data when needed. This resolves the contradiction by organizing storage into manageable segments rather than a monolithic structure.
Solution Approach 2:
The patent implements automatic discarding of obsolete data from previous deployments while recovering and preserving data from active deployments. The system automatically identifies and removes outdated data that is no longer needed for current operations, while maintaining necessary historical data for auditing or rollback purposes. This enables continuous storage optimization without compromising data availability.
2Productivity
If message queues are shared across multiple deployment versions, then resource utilization is improved, but data consistency deteriorates due to version differences
Solution Approach 1:
The patent segments the message queue system into version-specific queue groups (first message queue group for first version, second message queue group for second version). Each deployment version has its dedicated message queues, ensuring that messages from different versions are processed independently without consistency conflicts. This segmentation maintains resource efficiency while guaranteeing data consistency within each version context.
Solution Approach 2:
The patent introduces a deployment management system that acts as an intermediary between different version message queue groups. This intermediary coordinates message routing, ensures proper message delivery across version transitions, and maintains consistency protocols. The mediator enables resource sharing while preserving data integrity through centralized control and coordination.
3Loss of time
If deployment time is reduced by skipping data consistency checks, then deployment speed is improved, but service reliability deteriorates due to potential errors
Solution Approach 1:
The patent performs data consistency checks and message queue validations in advance during the deployment preparation phase, before actual deployment execution. By conducting these checks preliminarily, the system ensures that deployment packages are validated and consistent before being applied, eliminating the need for time-consuming checks during deployment. This preliminary validation maintains service reliability while accelerating deployment speed.
Solution Approach 2:
The patent enables skipping of redundant consistency checks during deployment by leveraging the preliminary validation already performed. Since data consistency has been verified in advance, the deployment process can rush through without repeating unnecessary checks, significantly reducing deployment time. The system intelligently determines which checks can be safely skipped based on the preliminary validation results, maintaining reliability while improving speed.
Data Source
AI summary
Described embodiments provide systems and methods of maintaining message queues during deployments of application updates. A queue manager may maintain a first message queue including a first channel for messages between a first release and a second release. The first release and the second release may write to and read from the first message queue. The queue manager may establish, responsive to deployments, a second message queue including a second channel for messages between the first release and the second release. The queue manager may transfer, from the first message queue to the second message queue, the first channel. The first release and the second release may cease to write to and read from the first message queue.