quay/conf/gunicorn_registry.py

import sys
import os
sys.path.append(os.path.join(os.path.dirname(__file__), "../"))

import logging

from Crypto import Random
from util.log import logfile_path
from util.workers import get_worker_count


logconfig = logfile_path(debug=False)
bind = 'unix:/tmp/gunicorn_registry.sock'
workers = get_worker_count('registry', 4, minimum=8, maximum=64)
worker_class = 'gevent'
pythonpath = '.'
preload_app = True


def post_fork(server, worker):
  # Reset the Random library to ensure it won't raise the "PID check failed." error after
  # gunicorn forks.
  Random.atfork()

def when_ready(server):
  logger = logging.getLogger(__name__)
  logger.debug('Starting registry gunicorn with %s workers and %s worker class', workers,
               worker_class)
gunicorn-conf: add quay directory to syspath 2017-06-08 18:50:42 +00:00			`import sys`
			`import os`
			`sys.path.append(os.path.join(os.path.dirname(__file__), "../"))`

Make gunicorn worker count scale automatically and be configurable Fixes https://jira.coreos.com/browse/QS-117 2018-01-12 21:19:37 +00:00			`import logging`

gunicorn-conf: add quay directory to syspath 2017-06-08 18:50:42 +00:00			`from Crypto import Random`
Change OIDC engine to not be federated We don't need linking, just the ability to perform lookup 2017-06-09 21:21:37 +00:00			`from util.log import logfile_path`
Fix worker count to use CPU affinity correctly and be properly bounded We were using the `cpu_count`, which doesn't respect container affinity. Now, we use `cpu_affinity` and also bound to make sure we don't start a million workers Fixes https://jira.coreos.com/browse/QUAY-928 2018-05-03 08:57:20 +00:00			`from util.workers import get_worker_count`
Crypto's Random needs to be reset after forks, otherwise it exceptions 2015-09-28 19:45:01 +00:00
Add log JSON formatter 2017-02-01 23:17:25 +00:00
			`logconfig = logfile_path(debug=False)`
Split the app into separate backends, which can use different worker types and different timeouts. 2014-10-14 17:58:08 +00:00			`bind = 'unix:/tmp/gunicorn_registry.sock'`
Fix worker count to use CPU affinity correctly and be properly bounded We were using the `cpu_count`, which doesn't respect container affinity. Now, we use `cpu_affinity` and also bound to make sure we don't start a million workers Fixes https://jira.coreos.com/browse/QUAY-928 2018-05-03 08:57:20 +00:00			`workers = get_worker_count('registry', 4, minimum=8, maximum=64)`
Send everything in production through the gunicorn logger (allows rotation using USR1). Add a gunicorn logger that emits the logstash format. Move the gunicorn config to the conf subdir. Update the postrotate script to hopefully work. 2014-02-04 20:08:49 +00:00			`worker_class = 'gevent'`
Let gunicorn load code before forking. 2014-05-20 23:06:54 +00:00			`pythonpath = '.'`
Strip whitespace from ALL the things. 2014-11-24 21:07:38 +00:00			`preload_app = True`
Crypto's Random needs to be reset after forks, otherwise it exceptions 2015-09-28 19:45:01 +00:00
Use $QUAYPATH and $QUAYDIR in conf and init files 2017-02-01 23:17:25 +00:00
Crypto's Random needs to be reset after forks, otherwise it exceptions 2015-09-28 19:45:01 +00:00			`def post_fork(server, worker):`
			`# Reset the Random library to ensure it won't raise the "PID check failed." error after`
			`# gunicorn forks.`
			`Random.atfork()`
Make gunicorn worker count scale automatically and be configurable Fixes https://jira.coreos.com/browse/QS-117 2018-01-12 21:19:37 +00:00
			`def when_ready(server):`
			`logger = logging.getLogger(__name__)`
			`logger.debug('Starting registry gunicorn with %s workers and %s worker class', workers,`
			`worker_class)`