Efficient handling of long running HTTP connections in an nginx/gunicorn/django web architecture

• Django

  484 76,672 9.8 Python

  The Web framework for perfectionists with deadlines.

  

I am working on a web service implemented on top of nginx+gunicorn+django. The clients are smartphone applications. The application needs to make some long running calls to external APIs (Facebook, Amazon S3...), so the server simply queues the job to a job server (using Celery over Redis).

• Redis

  317 64,705 9.7 C

  Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.

  

I am working on a web service implemented on top of nginx+gunicorn+django. The clients are smartphone applications. The application needs to make some long running calls to external APIs (Facebook, Amazon S3...), so the server simply queues the job to a job server (using Celery over Redis).

• InfluxDB

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• Nginx

  97 20,165 8.9 C

  An official read-only mirror of http://hg.nginx.org/nginx/ which is updated hourly. Pull requests on GitHub cannot be accepted and will be automatically closed. The proper way to submit changes to nginx is via the nginx development mailing list, see http://nginx.org/en/docs/contributing_changes.html

  

I am working on a web service implemented on top of nginx+gunicorn+django. The clients are smartphone applications. The application needs to make some long running calls to external APIs (Facebook, Amazon S3...), so the server simply queues the job to a job server (using Celery over Redis).

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