Please add notes of the standard tools/technologies that we have accepted and recommend for use at edX.
For example, do we think that they are Backbone, JS, Python, etc… Apiary, Jenkins, DBs, App Servers, etc…
If we have legacy technology we are using, we can note it, but we should make it clear that it's not a recommended standard.
General
- Languages:
- Recommended Local Storage:
- MySQL
- Mongo (for course content)
- Recommended Cloud Storage:
- Recommended IDE:
- Development Task management:
- Dev tasks: paver
- JS-specific tasks: gulp (not-yet implemented)
- CI: Jenkins
- Testing
- Styling: pep8, pylint, ESLint
- UI unit tests: Jasmine (test execution), karma (runner, js-test-tool is flagged for eventual deprecation)
- Acceptance tests: Bok-choy
- Load tests: Locust.io
- Documentation
* Note: Forums is currently implemented in Ruby and Sinatra, but should be ported to Python and Django eventually.
Mobile Apps
- Android
- Language: Java
- Dependency Injection: Dagger
- Recommended IDE: Android Dev Studio
- iOS
- Language: Swift and Objective-C
- Recommended IDE: XCode
- Build Tool: Gradle
- CI: Travis
- Test Framework: TBD ?
Analytics
- Recommended Data Processing Environment:
- Recommended Data Storage:
- HDFS (AWS S3) + Hive
- MySQL
- Vertica (Postgres DB) on EC2
- Not Recommended Data Discovery/Visualization:
- segment.io
- Splunk (would like to replace with Vertica)
- IPython Notebooks (occasionally used for experimental development)
- Recommended Data Discovery/Visualization:
- Google Analytics
- Tableau
- DataDog
- Recommended CI:
- Languages:
- Server-side: Python (Django)
- Client-side: Javascript (Backbone, Underscore, RequireJS, D3/NVD3), HTML, CSS (SASS)
- Dev task management: gulp
- Testing:
- Unit tests: Python unittest
- UI unit tests: jasmine (tests), karma (runner)
- Acceptance tests: Bok Choy
Search Tools
Observability Tools
Performance Tools
API Development