The limits on Task Queue calls can be found on the Quota page 
<https://cloud.google.com/appengine/quotas#Task_Queue>, specifically the 
'Queue execution rate' being of importance. 

Too many tasks being executed on a single queue will inevitably result in 
underlying contention. This leads to the slow down of task execution (aka 
exponential-backoff retry) while tasks wait for resources to handle them. 
It is recommended to instead shard your tasks across multiple queues to get 
around this limit. You can also tweak your queue.yaml  
<https://cloud.google.com/appengine/docs/standard/python/config/queueref>
*'max_concurrent_requests'* setting to prevent any single queue from 
hitting this limit. 

Additionally, it is always good to check your logs to ensure that you 
didn't see any errors during the gap, as you could be hitting other quotas 
limits (which would require time to refill).

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