DjangoCon Europe 2023 | Building and scaling a live event platform with django-channels

Django

Building a scalable live event platform with Django Channels, covering real-time communication, high availability, sharding, and performance optimization techniques.

Key takeaways

Using Django Channels for real-time communication allows for scalability and flexibility.
For high availability, ensure that components are designed to fail individually, with redundancy in case of failures.
Channels’ concept of layers and groups can be used to implement sharding, distributing load across multiple machines.
When working with multiple protocols, use ASGI servers to handle different protocols (e.g. HTTP, WebSocket).
Consider using instrumentation tools like StatsD and Prometheus to measure performance and identify bottlenecks.
In addition to code instrumentation, use external tools like K6 for load testing to measure performance under realistic user behavior.
Use caching and memoization to reduce database queries and improve performance.
For real-time communication, consider using WebSockets over traditional HTTP or other protocols.
When handling high volumes of requests, consider using distributed architectures and load balancers.
When using channels, use the Groups feature to broadcast messages to specific users or groups of users.
Use decorators to simplify and reuse code.
In addition to channel-based communication, use service end events for additional features like video conferencing and live streaming.
When developing real-time communication systems, focus on scalability and flexibility, and plan for failures and unexpected behavior.

DjangoCon Europe 2023 | Building and scaling a live event platform with django-channels

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