Have you used synchronization mechanisms in Celery for task or state management in your projects?

In Celery, mechanisms such as:

• Chord — allows running a group of tasks in parallel and then executing a callback after their completion.
• Group — combines multiple tasks for parallel execution.
• Chain — sequential execution of tasks, where the result of one is passed to the next.
• Canvas primitives — for building complex workflows.

Additionally, to synchronize task states, a backend for storing results (like Redis, RabbitMQ, or a database) can be used to track status and results.

Example of using chord:

from celery import Celery, chord

app = Celery('tasks', broker='redis://localhost')

@app.task
def add(x, y):
    return x + y

@app.task
def sum_results(results):
    return sum(results)

# Run multiple add tasks in parallel, then sum results
result = chord((add.s(i, i) for i in range(5)), sum_results.s())()
print(result.get())  # Will output the sum of all add results