multiple Queque
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Key Features:
Multiple Queue Implementation:
Designed and implemented
multiple queues
to handle tasks of varying priorities and types.
Used
RabbitMQ
for message queuing to ensure reliable and asynchronous task processing.
Task Prioritization:
Integrated a priority-based task distribution system to route high-priority tasks to dedicated queues.
Ensured low-priority tasks do not block high-priority tasks by using separate queues.
Asynchronous Processing:
Used
Spring’s @Async
and message-driven architectures to process tasks asynchronously.
Improved system performance by decoupling task submission and processing.
Error Handling and Retry Mechanism:
Implemented robust error handling and retry mechanisms for failed tasks.
Used
Dead Letter Queues (DLQ)
to handle unprocessable tasks and ensure no data loss.
Monitoring and Logging:
Integrated monitoring tools like
Spring Actuator
and
Prometheus
to track queue performance.
Added detailed logging for task submission, processing, and errors for better debugging.
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