To implement a task scheduler that can process jobs from both ends efficiently, we used a deque.

Performance tests showed that deques handled both front and back insertions more efficiently than linked lists.

The message was dequeued before the worker could process it.

The system kept logging errors while dequeuing requests from the backlog.

During stress testing, the system logged thousands of dequeues per second.

When the buffer is full, the consumer dequeues an item and processes it immediately.

Our test suite found that the dequeue in the standard library handles push and pop at both ends efficiently.

Before processing the next task, the worker thread will dequeue the request from the shared queue.

The dequeuer in our messaging system ensures that messages are processed in arrival order.

During peak traffic the dequeuers processed thousands of messages per second to keep the pipeline moving.