are kept in memory by a single cluster. Setting this to a reasonable number, can help balance the workload and the memory overhead of each individual cluster. It can also be used to manage the loss of data manage.py qcluster 1.4.3 Process managers While you certainly can run a Django Q with a process manager like Supervisor or Circus it is not strictly necessary. The cluster has an internal sentinel that crashes. Because of the multiprocessing daemonic nature of the cluster, it is impossible for a process manager to determine the clusters health and resource usage. An example circus.ini [circus] check_delay

are kept in memory by a single cluster. Setting this to a reasonable number, can help balance the workload and the memory overhead of each individual cluster. It can also be used to manage the loss of data python manage.py qcluster Process managers While you certainly can run a Django Q with a process manager like Supervisor [http://supervisord.org/] or Circus [https://circus.readthedocs.org/en/latest/] crashes. Because of the multiprocessing daemonic nature of the cluster, it is impossible for a process manager to determine the clusters health and resource usage. An example circus.ini [circus] check_delay

are kept in memory by a single cluster. Setting this to a reasonable number, can help balance the workload and the memory overhead of each individual cluster. It can also be used to manage the loss of data python manage.py qcluster Process managers While you certainly can run a Django Q with a process manager like Supervisor [http://supervisord.org/] or Circus [https://circus.readthedocs.org/en/latest/] crashes. Because of the multiprocessing daemonic nature of the cluster, it is impossible for a process manager to determine the clusters health and resource usage. An example circus.ini [circus] check_delay

are kept in memory by a single cluster. Setting this to a reasonable number, can help balance the workload and the memory overhead of each individual cluster. It can also be used to manage the loss of data manage.py qcluster 1.5.3 Process managers While you certainly can run a Django Q with a process manager like Supervisor or Circus it is not strictly necessary. The cluster has an internal sentinel that crashes. Because of the multiprocessing daemonic nature of the cluster, it is impossible for a process manager to determine the clusters health and resource usage. 1.5. Cluster 17 Django Q Documentation, Release

are kept in memory by a single cluster. Setting this to a reasonable number, can help balance the workload and the memory overhead of each individual cluster. Defaults to workers**2. label The label used python manage.py qcluster Process managers While you certainly can run a Django Q with a process manager like Supervisor [http://supervisord.org/] or Circus [https://circus.readthedocs.org/en/latest/] crashes. Because of the multiprocessing daemonic nature of the cluster, it is impossible for a process manager to determine the clusters health and resource usage. An example circus.ini [circus] check_delay

are kept in memory by a single cluster. Setting this to a reasonable number, can help balance the workload and the memory overhead of each individual cluster. Defaults to workers**2. 1.2.10 label The label manage.py qcluster 1.6.3 Process managers While you certainly can run a Django Q with a process manager like Supervisor or Circus it is not strictly necessary. The cluster has an internal sentinel that crashes. Because of the multiprocessing daemonic nature of the cluster, it is impossible for a process manager to determine the clusters health and resource usage. 1.6. Cluster 21 Django Q Documentation, Release

are kept in memory by a single cluster. Setting this to a reasonable number, can help balance the workload and the memory overhead of each individual cluster. Defaults to workers**2. label The label used python manage.py qcluster Process managers While you certainly can run a Django Q with a process manager like Supervisor [http://supervisord.org/] or Circus [https://circus.readthedocs.org/en/latest/] crashes. Because of the multiprocessing daemonic nature of the cluster, it is impossible for a process manager to determine the clusters health and resource usage. An example circus.ini [circus] check_delay

are kept in memory by a single cluster. Setting this to a reasonable number, can help balance the workload and the memory overhead of each individual cluster. Defaults to workers**2. 1.2.10 label The label Documentation, Release 0.7.8 1.6.3 Process managers While you certainly can run a Django Q with a process manager like Supervisor or Circus it is not strictly necessary. The cluster has an internal sentinel that crashes. Because of the multiprocessing daemonic nature of the cluster, it is impossible for a process manager to determine the clusters health and resource usage. An example circus.ini [circus] check_delay

are kept in memory by a single cluster. Setting this to a reasonable number, can help balance the workload and the memory overhead of each individual cluster. Defaults to workers**2. 1.2.10 label The label manage.py qcluster 1.9.3 Process managers While you certainly can run a Django Q with a process manager like Supervisor or Circus it is not strictly necessary. The cluster has an internal sentinel that crashes. Because of the multiprocessing daemonic nature of the cluster, it is impossible for a process manager to determine the clusters health and resource usage. An example circus.ini [circus] check_delay

are kept in memory by a single cluster. Setting this to a reasonable number, can help balance the workload and the memory overhead of each individual cluster. Defaults to workers**2. 1.2.10 label The label manage.py qcluster 1.9.3 Process managers While you certainly can run a Django Q with a process manager like Supervisor or Circus it is not strictly necessary. The cluster has an internal sentinel that crashes. Because of the multiprocessing daemonic nature of the cluster, it is impossible for a process manager to determine the clusters health and resource usage. 32 Chapter 1. Features Django Q Documentation