Hey everyone,

We're working on moving Task Queues out of labs/experimental for an upcoming
release slated for November. One of the requirements for doing so is to
better enforce the Task Queues storage quota. The documentation describes
this quota as storage for data for tasks that have not yet executed:

http://code.google.com/appengine/docs/quotas.html#Task_Queue

Currently, this quota is not enforced, and it is possible for applications
with backed up task queues to exceed this quota without running into quota
denials. Check your admin console's quota page for your application to see
if you are reaching or exceeding this quota. If so, you'll have the
following options:

1. Allocate more storage quota to taskqueue storage by updating:
         - total_storage_limit in queue.yaml for Python applications
         - TotalStorageLimit in queue.xml for Java applications.
        Note: you may need to buy more disk quota if there's not enough
quota for datastore, blobstore and taskqueue storage altogether.

2. Fix backed up queues using one of the options below. You will recognize
these as queues with high numbers of tasks (typically >2000).
        - Purge backed up queues (an easy button click in admin console's
Queue Details page for the queue).
        - Increase the execution rate and let your app work through the
backlog. To do this, edit queue.yaml (or queue.xml for Java apps) and alter
the rates on the queues. You can set a higher bucket size than the default
(currently 5) to maximize throughput.
        - Reduce the rate at which new tasks are added to queues. This will
involve some editing of app code.

It can take a few hours to update the admin console after the quotas have
been updated.

We'll post a reminders to the App Engine blog as well as to this thread as
the release nears.

--
Ikai Lan
Developer Programs Engineer, Google App Engine
Blogger: http://googleappengine.blogspot.com
Reddit: http://www.reddit.com/r/appengine
Twitter: http://twitter.com/app_engine

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