server is a networked machine running celeryd. This can be one or more machines, depending on the workload. The result of the task can be stored for later retrieval (called its “tombstone”). 3 Celery The model is simple, Click has the URL as primary key and a number of clicks for that URL. Its manager, ClickManager implements the increment_clicks method, which takes a URL and by how much to incre- import models from django.utils.translation import ugettext_lazy as _ class ClickManager(models.Manager): def increment_clicks(self, for_url, increment_by=1): """Increment the click count for an URL

server is a networked machine running celeryd. This can be one or more machines, depending on the workload. The result of the task can be stored for later retrieval (called its “tombstone”). Example You The model is simple, Click has the URL as primary key and a number of clicks for that URL. Its manager, ClickManager implements the increment_clicks method, which takes a URL and by how much to increment import models from django.utils.translation import ugettext_lazy as _ class ClickManager(models.Manager): def increment_clicks(self, for_url, increment_by=1): """Increment the click count for

worker node is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task can be stored for later retrieval (called its “tombstone”). 1.1.2 Example Use Munin, or similar tools, to receive alerts, so appropriate action can be taken to ease the workload. See Munin. While countdown is an integer, eta must be a datetime object, specifying an exact date The model is simple, Click has the URL as primary key and a number of clicks for that URL. Its manager, ClickMan- ager implements the increment_clicks method, which takes a URL and by how much to increment

server is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task can be stored for later retrieval (called its “tombstone”). 1.1.2 Example Use Munin, or similar tools, to receive alerts, so appropriate action can be taken to ease the workload. See Munin. While countdown is an integer, eta must be a datetime object, specifying an exact date The model is simple, Click has the URL as primary key and a number of clicks for that URL. Its manager, ClickManager implements the increment_clicks method, which takes a URL and by how much to incre-

worker node is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task can be stored for later retrieval (called its “tombstone”). 1.1.3 Example Use Munin, or similar tools, to receive alerts, so appropriate action can be taken to ease the workload. See Munin. While countdown is an integer, eta must be a datetime object, specifying an exact date https://github.com/celery/cl PyPI http://pypi.python.org/pypi/cl 6.9.8 cyme Distributed Celery Instance manager. git https://github.com/celery/cyme PyPI http://pypi.python.org/pypi/cyme docs http://cyme.readthedocs

server is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task can be stored for later retrieval (called its “tombstone”). Example You Use Munin, or similar tools, to receive alerts, so appropriate action can be taken to ease the workload. See Munin. While countdown is an integer, eta must be a datetime object, specifying an exact date The model is simple, Click has the URL as primary key and a number of clicks for that URL. Its manager, ClickManager implements the increment_clicks method, which takes a URL and by how much to increment

worker node is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task can be stored for later retrieval (called its “tombstone”). 1.1.2 Example Use Munin, or similar tools, to receive alerts, so appropriate action can be taken to ease the workload. See Munin. While countdown is an integer, eta must be a datetime object, specifying an exact date The model is simple, Click has the URL as primary key and a number of clicks for that URL. Its manager, ClickMan- ager implements the increment_clicks method, which takes a URL and by how much to increment

server is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task can be stored for later retrieval (called its “tombstone”). 1.1.2 Example The model is simple, Click has the URL as primary key and a number of clicks for that URL. Its manager, ClickManager implements the increment_clicks method, which takes a URL and by how much to incre- import models from django.utils.translation import ugettext_lazy as _ class ClickManager(models.Manager): def increment_clicks(self, for_url, increment_by=1): """Increment the click count for an URL

worker node is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task can be stored for later retrieval (called its “tombstone”). Example You Use Munin, or similar tools, to receive alerts, so appropriate action can be taken to ease the workload. See Munin. While countdown is an integer, eta must be a datetime object, specifying an exact date The model is simple, Click has the URL as primary key and a number of clicks for that URL. Its manager, ClickManager implements the increment_clicks method, which takes a URL and by how much to increment

worker node is a networked machine running celeryd. This can be one or more machines depending on the workload. The result of the task can be stored for later retrieval (called its “tombstone”). Example You Use Munin, or similar tools, to receive alerts, so appropriate action can be taken to ease the workload. See Munin. While countdown is an integer, eta must be a datetime object, specifying an exact date The model is simple, Click has the URL as primary key and a number of clicks for that URL. Its manager, ClickManager implements the increment_clicks method, which takes a URL and by how much to increment