message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in OOM killer, the same may happen again. 4. A task that always fails when redelivered may cause a high-frequency message loop taking down the system. If you really want a task to be redelivered in these this task. Used by for example app.Task.retry() to resend the task to the same destination queue. Availability of keys in this dict depends on the message broker used. Name of queue to send replies back to

message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in OOM killer, the same may happen again. 4. A task that always fails when redelivered may cause a high-frequency message loop taking down the system. If you really want a task to be redelivered in these this task. Used by for example app.Task.retry() to resend the task to the same destination queue. Availability of keys in this dict depends on the message broker used. Name of queue to send replies back to

message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in OOM killer, the same may happen again. 4. A task that always fails when redelivered may cause a high-frequency message loop taking down the system. If you really want a task to be redelivered in these this task. Used by for example app.Task.retry() to resend the task to the same destination queue. Availability of keys in this dict depends on the message broker used. Name of queue to send replies back to

message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in OOM killer, the same may happen again. 4. A task that always fails when redelivered may cause a high-frequency message loop taking down the system. If you really want a task to be redelivered in these this task. Used by for example app.Task.retry() to resend the task to the same destination queue. Availability of keys in this dict depends on the message broker used. Name of queue to send replies back to

message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in OOM killer, the same may happen again. 4. A task that always fails when redelivered may cause a high-frequency message loop taking down the system. If you really want a task to be redelivered in these this task. Used by for example app.Task.retry() to resend the task to the same destination queue. Availability of keys in this dict depends on the message broker used. Name of queue to send replies back to

message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in OOM killer, the same may happen again. 4. A task that always fails when redelivered may cause a high-frequency message loop taking down the system. If you really want a task to be redelivered in these this task. Used by for example app.Task.retry() to resend the task to the same destination queue. Availability of keys in this dict depends on the message broker used. Name of queue to send replies back to

message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in kernel OOM killer, the same may happen again. 4. A task that always fails when redelivered may cause a high-frequency message loop taking down the system. If you really want a task to be redelivered in these this task. Used by for example app.Task.retry() to resend the task to the same destination queue. Availability of keys in this dict depends on the message broker used. reply-to Name of queue to send replies

message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in OOM killer, the same may happen again. 4. A task that always fails when redelivered may cause a high-frequency message loop taking down the system. If you really want a task to be redelivered in these this task. Used by for example app.Task.retry() to resend the task to the same destination queue. Availability of keys in this dict depends on the message broker used. Name of queue to send replies back to

message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in OOM killer, the same may happen again. 4. A task that always fails when redelivered may cause a high-frequency message loop taking down the system. If you really want a task to be redelivered in these this task. Used by for example app.Task.retry() to resend the task to the same destination queue. Availability of keys in this dict depends on the message broker used. Name of queue to send replies back to

message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in OOM killer, the same may happen again. 4. A task that always fails when redelivered may cause a high-frequency message loop taking down the system. If you really want a task to be redelivered in these this task. Used by for example app.Task.retry() to resend the task to the same destination queue. Availability of keys in this dict depends on the message broker used. Name of queue to send replies back to