Python for Cloud Services and Infrastructure Management
summary
A concrete Python cloud stack and what actually works: a smartphone case reads BP ECG heart rate skin temperature and syncs to the cloud, with the backend built in Python and operational. The slide deck lists frameworks and runtimes — Django preferred over Flask, Gunicorn/uwsgi behind nginx, databases and caching choices — uses MongoDB for 90% of transactions, task queue and broker choices (Celery, RabbitMQ), logging/monitoring (Sentry, Nagios), deployment tools (Fabric, Ansible/Chef/Puppet, Jenkins) and virtualization with virtualenv.
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chapters (20)
- 0:00Introduction
- 0:25About Bhaumik Shukla
- 0:45Current Product
- 1:34Questions
- 2:17Cloud Services
- 2:43Other Components
- 2:55Web Framework
- 3:52Whiskey Server
- 5:10Database
- 5:41MongoDB
- 6:11Web Server
- 9:10Logging
- 10:11Source Control
- 10:49Deployment Configuration
- 11:54Monitoring
- 13:33Cash
- 14:12Messaging
- 15:19Virtual Environment
- 16:12Analytics
- 17:05Scaling
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