- Identify frequently queried fields and add indexes to them.
- Use Django’s db_index attribute in model fields.
- Create composite indexes for combined search fields using
index_together
orunique_together
.
- Use Django’s
select_related
andprefetch_related
to optimize database access patterns. - Avoid N+1 query problems by prefetching related objects.
- Profile and monitor queries using Django Debug Toolbar and optimize slow queries.
- Tune database settings (e.g., connection pool size, cache size) based on your database system (PostgreSQL, MySQL).
- Regularly analyze and vacuum the database to maintain performance.
- Use Django’s built-in caching framework with a caching backend like Redis or Memcached.
- Cache results of expensive queries or computations using
cache.set()
andcache.get()
. - Use Django’s
cache_page
decorator to cache entire views where appropriate.
- Use template fragment caching for parts of templates that are expensive to render and change infrequently.
- Implement proper cache invalidation strategies to ensure data consistency.
- Use signals or hooks to invalidate cache when related models are updated.
- Install and configure Celery with a message broker like RabbitMQ or Redis.
- Define asynchronous tasks for long-running operations (e.g., sending emails, generating reports).
- Use Celery Beat for periodic tasks (e.g., nightly data processing).
- Use Flower to monitor Celery tasks and workers.
- Implement retries and error handling for robust task execution.
- Integrate with Google Analytics to track page views, user interactions, and other engagement metrics.
- Use Django middleware to send custom events to Google Analytics.
- Track course completion rates and user progress within the application.
- Store metrics in a dedicated analytics database or use a service like Mixpanel.
- Implement Django signals to collect data on user actions (e.g., course enrollment, lesson completion).
- Create admin dashboards using Django Admin or a tool like Grafana to visualize key metrics.
- Use charts and graphs to display trends and insights.
- Generate periodic reports (e.g., weekly, monthly) and send them to instructors and administrators via email.
- Use Celery for scheduling and generating reports.
- Allow administrators to generate custom reports based on various filters and criteria.
- Define badge criteria (e.g., completing a course, high quiz scores).
- Create a badge model and award badges to users based on their achievements.
- Display badges on user profiles and course completion screens.
- Implement leaderboards to show top-performing users.
- Allow filtering leaderboards by various criteria (e.g., course-specific, time-based).
- Introduce a points system where users earn points for completing activities.
- Allow users to redeem points for rewards or display them on leaderboards.
- Use machine learning or rule-based systems to recommend courses and content based on user performance and preferences.
- Track user interests and tailor recommendations accordingly.
- Implement adaptive learning algorithms to adjust content difficulty based on user performance.
- Provide feedback and alternative resources based on user progress and performance.
- Allow users to set preferences (e.g., preferred learning style, topics of interest).
- Use these preferences to customize the learning experience.
-
Implement JWT for authentication:
- Install and configure Django REST framework and Django REST framework JWT.
- Update Django settings to use JWT for authentication.
- Set up JWT settings in
settings.py
. - Create views for obtaining and refreshing tokens.
- Protect endpoints by adding permission classes to views.
-
Ensure HTTPS for all communication:
- Obtain SSL certificate (e.g., Let's Encrypt).
- Update Django settings to enforce HTTPS.
- Configure the web server (e.g., Nginx) to redirect HTTP traffic to HTTPS.
- Test HTTPS configuration to ensure all communication is secure.