Beta9 includes a concurrency-safe distributed queue, accessible both locally and within remote containers. Serialization is done using cloudpickle, so any object that supported by that should work here. The interface is that of a standard python queue. Because this is backed by a distributed queue, it will persist between runs.
Simple Queue
from beta9 import Queue

val = [1, 2, 3]

# Initialize the Queue
q = Queue(name="myqueue")

for i in range(100):
    # Insert something to the queue
    q.put(val)
while not q.empty():
    # Remove something from the queue
    val = q.pop()
    print(val)