the architecture. The broker pushes tasks to the worker servers. A worker server is a networked machine running celeryd. This can be one or more machines, depending on the workload. The result of the blog/models.py The comment model looks like this: from django.db import models from django.utils.translation import ugettext_lazy as _ class Comment(models.Model): name = models.CharField(_("name"), max_length=64) pdf State Since celery is a distributed system, you can’t know in which process, or even on what machine the task will run. Indeed you can’t even know if the task will run in a timely manner, so please

-Overview-v4.jpg The broker pushes tasks to the worker servers. A worker server is a networked machine running celeryd. This can be one or more machines, depending on the workload. The result of the blog/models.py The comment model looks like this: from django.db import models from django.utils.translation import ugettext_lazy as _ class Comment(models.Model): name = models.CharField(_("name"), pdf State Since celery is a distributed system, you can’t know in which process, or even on what machine the task will run. Indeed you can’t even know if the task will run in a timely manner, so please

the architecture. The broker pushes tasks to the worker servers. A worker server is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task blog/models.py The comment model looks like this: from django.db import models from django.utils.translation import ugettext_lazy as _ class Comment(models.Model): name = models.CharField(_("name"), max_length=64) (stable) State Since celery is a distributed system, you can’t know in which process, or even on what machine the task will run. Indeed you can’t even know if the task will run in a timely manner, so please

-Overview-v4.jpg The broker pushes tasks to the worker servers. A worker server is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task blog/models.py The comment model looks like this: from django.db import models from django.utils.translation import ugettext_lazy as _ class Comment(models.Model): name = models.CharField(_("name"), pdf State Since celery is a distributed system, you can’t know in which process, or even on what machine the task will run. Indeed you can’t even know if the task will run in a timely manner, so please

the architecture. The broker delivers tasks to the worker servers. A worker server is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task 2.1.4 State Since celery is a distributed system, you can’t know in which process, or on what machine the task will be executed. You can’t even know if the task will run in a timely manner. The ancient blog/models.py The comment model looks like this: from django.db import models from django.utils.translation import ugettext_lazy as _ class Comment(models.Model): name = models.CharField(_("name"), max_length=64)

of the architecture. The broker delivers tasks to the worker nodes. A worker node is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task locality. State Since celery is a distributed system, you can’t know in which process, or on what machine the task will be executed. You can’t even know if the task will run in a timely manner. The ancient blog/models.py The comment model looks like this: from django.db import models from django.utils.translation import ugettext_lazy as _ class Comment(models.Model): name = models.CharField(_("name"), max_length=64)

verview-v4.jpg The broker delivers tasks to the worker servers. A worker server is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task locality. State Since celery is a distributed system, you can’t know in which process, or on what machine the task will be executed. You can’t even know if the task will run in a timely manner. The ancient blog/models.py The comment model looks like this: from django.db import models from django.utils.translation import ugettext_lazy as _ class Comment(models.Model): name = models.CharField(_("name"),

of the architecture. The broker delivers tasks to the worker nodes. A worker node is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task 2.2.10 State Since celery is a distributed system, you can’t know in which process, or on what machine the task will be executed. You can’t even know if the task will run in a timely manner. The ancient blog/models.py The comment model looks like this: from django.db import models from django.utils.translation import ugettext_lazy as _ class Comment(models.Model): name = models.CharField(_("name"), max_length=64)

of the architecture. The broker delivers tasks to the worker nodes. A worker node is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task locality. State Since celery is a distributed system, you can’t know in which process, or on what machine the task will be executed. You can’t even know if the task will run in a timely manner. The ancient blog/models.py The comment model looks like this: from django.db import models from django.utils.translation import ugettext_lazy as _ 2.2. Tasks 35 Celery Documentation, Release 2.5.5 class Comment(models

ry-Overview-v4.jpg The broker delivers tasks to the worker nodes. A worker node is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task locality. State Since celery is a distributed system, you can’t know in which process, or on what machine the task will be executed. You can’t even know if the task will run in a timely manner. The ancient blog/models.py The comment model looks like this: from django.db import models from django.utils.translation import ugettext_lazy as _ class Comment(models.Model): name = models.CharField(_("name"),