. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 1.9 Cluster . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . groups and chains • Django Admin integration • PaaS compatible with multiple instances • Multi cluster monitor • Redis, Disque, IronMQ, SQS, MongoDB or ORM • Rollbar and Sentry support Django Q is Choose a message broker , configure it and install the appropriate client library. • Run Django Q cluster in order to handle tasks async: $ python manage.py qcluster 1.1.1 Requirements Django Q is tested

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 1.9 Cluster . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . groups and chains • Django Admin integration • PaaS compatible with multiple instances • Multi cluster monitor • Redis, Disque, IronMQ, SQS, MongoDB or ORM • Rollbar and Sentry support Django Q is Choose a message broker , configure it and install the appropriate client library. • Run Django Q cluster in order to handle tasks async: $ python manage.py qcluster 1.1.1 Requirements Django Q is tested

hooks, groups and chains Django Admin integration PaaS compatible with multiple instances Multi cluster monitor Redis, Disque, IronMQ, SQS, MongoDB or ORM Rollbar and Sentry support Django Q is tested Reference Chains Reference Schedules Schedule Missed schedules Management Commands Reference Cluster Multiple Clusters Using a Procfile Process managers Reference Monitor Legend Info Status Reference Choose a message broker , configure it and install the appropriate client library. Run Django Q cluster in order to handle tasks async: $ python manage.py qcluster Requirements Django Q is tested for

hooks, groups and chains Django Admin integration PaaS compatible with multiple instances Multi cluster monitor Redis, Disque, IronMQ, SQS, MongoDB or ORM Rollbar and Sentry support Django Q is tested Reference Chains Reference Schedules Schedule Missed schedules Management Commands Reference Cluster Multiple Clusters Using a Procfile Process managers Reference Monitor Legend Info Status Reference Choose a message broker , configure it and install the appropriate client library. Run Django Q cluster in order to handle tasks async: $ python manage.py qcluster Requirements Django Q is tested for

by adding new servers to the cluster. Degrees of support for clusters varies between messaging systems, with some systems having fairly basic clusters with the cluster members being hardly aware of state-of-the-art clustering model where messages can be intelligently load balanced between the servers in the cluster, according to the number of consumers on each node, and whether they are ready for messages. Apache ActiveMQ Artemis also has the ability to automatically redistribute messages between nodes of a cluster to prevent starvation on any particular node. For full details on clustering, please see Clusters

by adding new servers to the cluster. Degrees of support for clusters varies between messaging systems, with some systems having fairly basic clusters with the cluster members being hardly aware of state-of-the-art clustering model where messages can be intelligently load balanced between the servers in the cluster, according to the number of consumers on each node, and whether they are ready for messages. Apache ActiveMQ Artemis also has the ability to automatically redistribute messages between nodes of a cluster to prevent starvation on any particular node. For full details on clustering, please see Clusters

by adding new servers to the cluster. Degrees of support for clusters varies between messaging systems, with some systems having fairly basic clusters with the cluster members being hardly aware of state-of-the-art clustering model where messages can be intelligently load balanced between the servers in the cluster, according to the number of consumers on each node, and whether they are ready for messages. Apache ActiveMQ Artemis also has the ability to automatically redistribute messages between nodes of a cluster to prevent starvation on any particular node. For full details on clustering, please see Clusters

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 1.9 Cluster . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . groups and chains • Django Admin integration • PaaS compatible with multiple instances • Multi cluster monitor • Redis, Disque, IronMQ, SQS, MongoDB or ORM • Rollbar and Sentry support Django Q is Choose a message broker , configure it and install the appropriate client library. • Run Django Q cluster in order to handle tasks async: $ python manage.py qcluster 1.1.1 Requirements Django Q is tested

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 1.9 Cluster . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . groups and chains • Django Admin integration • PaaS compatible with multiple instances • Multi cluster monitor • Redis, Disque, IronMQ, SQS, MongoDB or ORM • Rollbar support Django Q is tested with: utilities module by Giampaolo Rodola’, is an optional requirement and adds cpu affinity settings to the cluster: $ pip install psutil • Hiredis parser. This C library maintained by the core Redis team is faster

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 1.9 Cluster . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . groups and chains • Django Admin integration • PaaS compatible with multiple instances • Multi cluster monitor • Redis, Disque, IronMQ, SQS, MongoDB or ORM • Python 2 and 3 Django Q is tested with: utilities module by Giampaolo Rodola’, is an optional requirement and adds cpu affinity settings to the cluster: $ pip install psutil • Hiredis parser. This C library maintained by the core Redis team is faster