.. _increase-gunicorn: Configure Gunicorn Workers -------------------------- |RCE| comes with `Gunicorn`_ which is a Python WSGI HTTP Server for UNIX. To improve |RCE| performance you can increase the number of `Gunicorn`_ workers. This allows to handle more connections concurrently, and provide better responsiveness and performance. By default during installation |RCC| tries to detect how many CPUs are available in the system, and set the number workers based on that information. However sometimes it's better to manually set the number of workers. To do this, use the following steps: 1. Open the :file:`home/{user}/.rccontrol/{instance-id}/rhodecode.ini` file. 2. In the ``[server:main]`` section, change the number of Gunicorn ``workers`` using the following default formula :math:`(2 * Cores) + 1`. We however not recommend using more than 8-12 workers per server. It's better to start using the :ref:`scale-horizontal-cluster` in case that performance with 8-12 workers is not enough. .. code-block:: ini use = egg:gunicorn#main ## Sets the number of process workers. You must set `instance_id = *` ## when this option is set to more than one worker, recommended ## value is (2 * NUMBER_OF_CPUS + 1), eg 2CPU = 5 workers ## The `instance_id = *` must be set in the [app:main] section below workers = 4 ## process name proc_name = rhodecode ## type of worker class, one of sync, gevent ## recommended for bigger setup is using of of other than sync one worker_class = sync ## The maximum number of simultaneous clients. Valid only for Gevent #worker_connections = 10 ## max number of requests that worker will handle before being gracefully ## restarted, could prevent memory leaks max_requests = 1000 max_requests_jitter = 30 ## amount of time a worker can spend with handling a request before it ## gets killed and restarted. Set to 6hrs timeout = 21600 3. In the ``[app:main]`` section, set the ``instance_id`` property to ``*``. .. code-block:: ini # In the [app:main] section [app:main] # You must set `instance_id = *` instance_id = * 4. Change the VCSServer workers too. Open the :file:`home/{user}/.rccontrol/{instance-id}/vcsserver.ini` file. 5. In the ``[server:main]`` section, increase the number of Gunicorn ``workers`` using the following formula :math:`(2 * Cores) + 1`. .. code-block:: ini ## run with gunicorn --log-config vcsserver.ini --paste vcsserver.ini use = egg:gunicorn#main ## Sets the number of process workers. Recommended ## value is (2 * NUMBER_OF_CPUS + 1), eg 2CPU = 5 workers workers = 4 ## process name proc_name = rhodecode_vcsserver ## type of worker class, currently `sync` is the only option allowed. worker_class = sync ## The maximum number of simultaneous clients. Valid only for Gevent #worker_connections = 10 ## max number of requests that worker will handle before being gracefully ## restarted, could prevent memory leaks max_requests = 1000 max_requests_jitter = 30 ## amount of time a worker can spend with handling a request before it ## gets killed and restarted. Set to 6hrs timeout = 21600 6. Save your changes. 7. Restart your |RCE| instances, using the following command: .. code-block:: bash $ rccontrol restart '*' Gunicorn Gevent Backend ----------------------- Gevent is an asynchronous worker type for Gunicorn. It allows accepting multiple connections on a single `Gunicorn`_ worker. This means you can handle 100s of concurrent clones, or API calls using just few workers. A setting called `worker_connections` defines on how many connections each worker can handle using `Gevent`. To enable `Gevent` on |RCE| do the following: 1. Open the :file:`home/{user}/.rccontrol/{instance-id}/rhodecode.ini` file. 2. In the ``[server:main]`` section, change `worker_class` for Gunicorn. .. code-block:: ini ## type of worker class, one of sync, gevent ## recommended for bigger setup is using of of other than sync one worker_class = gevent ## The maximum number of simultaneous clients. Valid only for Gevent worker_connections = 30 .. note:: `Gevent` is currently only supported for Enterprise/Community instances. VCSServer doesn't yet support gevent. .. _Gunicorn: http://gunicorn.org/