diff --git a/docs/patterns/celery.rst b/docs/patterns/celery.rst
new file mode 100644
index 00000000..c7cd3922
--- /dev/null
+++ b/docs/patterns/celery.rst
@@ -0,0 +1,92 @@
+Celery Based Background Tasks
+=============================
+
+Celery is a task queue for Python with batteries included.  It used to
+have a Flask integration but it became unnecessary after some
+restructuring of the internals of Celery with Version 3.  This guide fills
+in the blanks in how to properly use Celery with Flask but assumes that
+you generally already read the `First Steps with Celery
+<http://docs.celeryproject.org/en/master/getting-started/first-steps-with-celery.html>`_
+guide in the official Celery documentation.
+
+Installing Celery
+-----------------
+
+Celery is on the Python Package Index (PyPI), so it can be installed with
+standard Python tools like ``pip`` or ``easy_install``::
+
+    $ pip install celery
+
+Configuring Celery
+------------------
+
+The first thing you need is a Celery instance, this is called the celery
+application.  It serves the same purpose as the :class:`~flask.Flask`
+object in Flask, just for Celery.  Since this instance is used as the
+entry-point for everything you want to do in Celery, like creating tasks
+and managing workers, it must be possible for other modules to import it.
+
+For instance you can place this in a ``tasks`` module.  While you can use
+Celery without any reconfiguration with Flask, it becomes a bit nicer by
+subclassing tasks and adding support for Flask's application contexts and
+hooking it up with the Flask configuration.
+
+This is all that is necessary to properly integrate Celery with Flask::
+
+    from celery import Celery
+
+    def make_celery(app):
+        celery = Celery(app.import_name, broker=app.config['CELERY_BROKER_URL'])
+        celery.conf.update(app.config)
+        TaskBase = celery.Task
+        class ContextTask(TaskBase):
+            abstract = True
+            def __call__(self, *args, **kwargs):
+                with app.app_context():
+                    return TaskBase.__call__(self, *args, **kwargs)
+        celery.Task = ContextTask
+        return celery
+
+The function creates a new Celery object, configures it with the broker
+from the application config, updates the rest of the Celery config from
+the Flask config and then creates a subclass of the task that wraps the
+task execution in an application context.
+
+Minimal Example
+---------------
+
+With what we have above this is the minimal example of using Celery with
+Flask::
+
+    from flask import Flask
+
+    app = Flask(__name__)
+    app.config.update(
+        CELERY_BROKER_URL='redis://localhost:6379',
+        CELERY_RESULT_BACKEND='redis://localhost:6379'
+    )
+    celery = make_celery(app)
+
+
+    @celery.task()
+    def add_together(a, b):
+        return a + b
+
+This task can now be called in the background:
+
+>>> result = add_together.delay(23, 42)
+>>> result.wait()
+65
+
+Running the Celery Worker
+-------------------------
+
+Now if you jumped in and already executed the above code you will be
+disappointed to learn that your ``.wait()`` will never actually return.
+That's because you also need to run celery.  You can do that by running
+celery as a worker::
+
+    $ celery -A your_application worker
+
+The ``your_application`` string has to point to your application's package
+or module that creates the `celery` object.
diff --git a/docs/patterns/index.rst b/docs/patterns/index.rst
index 4a09340f..8a9bf1ca 100644
--- a/docs/patterns/index.rst
+++ b/docs/patterns/index.rst
@@ -39,3 +39,4 @@ Snippet Archives <http://flask.pocoo.org/snippets/>`_.
    deferredcallbacks
    methodoverrides
    requestchecksum
+   celery