Django workload by Instagram and Intel

This project aims to provide a Django workload based on a real-world large-scale production workload that serves mobile clients.

Setup

The project can be set up on a single machine, or on a cluster of machines to spread the load and to make it easier to gauge the impact of the Django workload on both Python and the hardware it runs on.

Documentation to set up each component of the cluster is provided for in each subdirectory. You'll need to follow the README.md file in each of the following locations:

• 3 services

  • Cassandra - services/cassandra
  • Memcached - services/memcached
  • Monitoring - services/monitoring

• Django and uWSGI - django-workload

• A load generator - client

Once set up, access http://[uwsgi_host:uwsgi_port]/ to see an overview of the offered endpoints, or use the load generator to produce a high request load on the server.

Benchmarking configuration

The default benchmarking parameters used for Siege, Memcached and uWSGI are suitable for driving high CPU utilization (>80%) in server environments:

uWSGI concurrent workers – 88
Memcached threads – 16
Siege Concurrency – 185

Contributing

See the CONTRIBUTING file for how to help out.

License

Django Workload is BSD-licensed. We also provide an additional patent grant.