Why did you use Celery instead of Kafka for all tasks? What is the difference?

Celery and Kafka solve different tasks, although both can be used for asynchronous processing.

Celery is a distributed task manager focused on executing background tasks (jobs) with support for retries, timeouts, priorities, and monitoring. It is well-suited for launching and managing tasks that require code execution (e.g., sending emails, image processing).

Kafka is a distributed message streaming platform aimed at high-performance and reliable transmission of events and data between systems. Kafka is more about transmitting and storing data streams than executing tasks.

Using Celery instead of Kafka for all tasks is justified if the tasks are specifically background computations that require management of state, retries, and control. Kafka is better suited for transmitting events and integrating between services.

Example: if you need to send an email after user registration, Celery is a good choice. If you need to transmit logs or events between microservices, Kafka.

Thus, Celery is a task management system, Kafka is a message and event transmission system.