Celery 2.1 Documentation
will probably want to run the worker in the background as a daemon. To do this you need to use the tools provided by your platform, or something like supervisord [http://supervisord.org] (see Running celeryd your tasks are executed in a timely manner you should monitor queue lengths. Use Munin, or similar tools, to receive alerts, so appropriate action can be taken to ease the workload. See Munin. While countdown the background. See Running celeryd as a daemon for help using celeryd with popular daemonization tools. For a full list of available command line options see celeryd, or simply do: $ celeryd --help0 码力 | 463 页 | 861.69 KB | 1 年前3Celery 2.1 Documentation
will probably want to run the worker in the background as a daemon. To do this you need to use the tools provided by your platform, or something like supervisord (see Running celeryd as a daemon for more your tasks are executed in a timely manner you should monitor queue lengths. Use Munin, or similar tools, to receive alerts, so appropriate action can be taken to ease the workload. See Munin. While countdown the background. See Running celeryd as a daemon for help using celeryd with popular daemonization tools. For a full list of available command line options see celeryd, or simply do: $ celeryd --help0 码力 | 285 页 | 1.19 MB | 1 年前3Celery 2.5 Documentation
will probably want to run the worker in the background as a daemon. To do this you need to use the tools provided by your platform, or something like supervisord (see Running celeryd as a daemon for more your tasks are executed in a timely manner you should monitor queue lengths. Use Munin, or similar tools, to receive alerts, so appropriate action can be taken to ease the workload. See Munin. While countdown the background. See Running celeryd as a daemon for help using celeryd with popular daemonization tools. For a full list of available command line options see celeryd, or simply do: $ celeryd --help0 码力 | 400 页 | 1.40 MB | 1 年前3Celery 3.1 Documentation
reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time processing, while also Monitoring A stream of monitoring events is emitted by workers and is used by built-in and external tools to tell you what your cluster is doing – in real-time. Read more... . • Workflows Simple and complex must be an int describing the number of seconds. • Monitoring events (as used by flower and other tools) are global and is not affected by the virtual host setting. This is caused by a limitation in Redis0 码力 | 607 页 | 2.27 MB | 1 年前3Celery 3.1 Documentation
reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time processing, while also and is Autoreloading In development workers can be configured to used by built-in and external tools to tell you what your cluster is doing – in real-time. Read more…. Workflows Simple and complex event-based monitoring tools will not work. Remote control means the ability to inspect and manage workers at runtime using the celery inspect and celery control commands (and other tools using the remote control0 码力 | 887 页 | 1.22 MB | 1 年前3Celery 2.0 Documentation
you probably want to run the worker in the background as a daemon. To do this you need to use to tools provided by your platform, or something like supervisord [http://supervisord.org]. For a complete Running celeryd as a daemon for help starting celeryd with some of the most popular daemonization tools. For a full list of available command line options see celeryd, or simply execute the command: $ EMAIL_HOST_PASSWORD = "s3cr3t" Events CELERY_SEND_EVENTS Send events so the worker can be monitored by tools like celerymon. CELERY_EVENT_EXCHANGE Name of the exchange to send event messages to. Default is0 码力 | 284 页 | 332.71 KB | 1 年前3Celery 2.3 Documentation
will probably want to run the worker in the background as a daemon. To do this you need to use the tools provided by your platform, or something like supervisord (see Running celeryd as a daemon for more your tasks are executed in a timely manner you should monitor queue lengths. Use Munin, or similar tools, to receive alerts, so appropriate action can be taken to ease the workload. See Munin. While countdown the background. See Running celeryd as a daemon for help using celeryd with popular daemonization tools. For a full list of available command line options see celeryd, or simply do: $ celeryd --help0 码力 | 334 页 | 1.25 MB | 1 年前3Celery 2.5 Documentation
will probably want to run the worker in the background as a daemon. To do this you need to use the tools provided by your platform, or something like supervisord [http://supervisord.org] (see Running celeryd your tasks are executed in a timely manner you should monitor queue lengths. Use Munin, or similar tools, to receive alerts, so appropriate action can be taken to ease the workload. See Munin. While countdown the background. See Running celeryd as a daemon for help using celeryd with popular daemonization tools. For a full list of available command line options see celeryd, or simply do: $ celeryd --help0 码力 | 647 页 | 1011.88 KB | 1 年前3Celery 2.0 Documentation
you probably want to run the worker in the background as a daemon. To do this you need to use to tools provided by your platform, or something like supervisord. For a complete listing of the command line Running celeryd as a daemon for help starting celeryd with some of the most popular daemonization tools. For a full list of available command line options see celeryd, or simply execute the command: $ EMAIL_HOST_PASSWORD = "s3cr3t" 3.12.2 Events • CELERY_SEND_EVENTS Send events so the worker can be monitored by tools like celerymon. • CELERY_EVENT_EXCHANGE Name of the exchange to send event messages to. Default0 码力 | 165 页 | 492.43 KB | 1 年前3Celery 2.2 Documentation
will probably want to run the worker in the background as a daemon. To do this you need to use the tools provided by your platform, or something like supervisord (see Running celeryd as a daemon for more your tasks are executed in a timely manner you should monitor queue lengths. Use Munin, or similar tools, to receive alerts, so appropriate action can be taken to ease the workload. See Munin. While countdown the background. See Running celeryd as a daemon for help using celeryd with popular daemonization tools. For a full list of available command line options see celeryd, or simply do: $ celeryd --help0 码力 | 314 页 | 1.26 MB | 1 年前3
共 51 条
- 1
- 2
- 3
- 4
- 5
- 6