diff --git a/django_q/__init__.py b/django_q/__init__.py
index 7f2a85f..b41f8c5 100644
--- a/django_q/__init__.py
+++ b/django_q/__init__.py
@@ -8,6 +8,7 @@ from .tasks import async, schedule, result, result_group, fetch, fetch_group, co
 from .models import Task, Schedule, Success, Failure
 from .cluster import Cluster
 from .status import Stat
+from .brokers import get_broker
 
 VERSION = (0, 7, 3)
 
diff --git a/docs/tasks.rst b/docs/tasks.rst
index d70def4..ebcc576 100644
--- a/docs/tasks.rst
+++ b/docs/tasks.rst
@@ -59,9 +59,9 @@ sync
 Simulates a task execution synchronously. Useful for testing.
 Can also be forced globally via the :ref:`sync` configuration option.
 
-redis
-"""""
-A redis connection. In case you want to control your own connections.
+broker
+""""""
+A broker instance, in case you want to control your own connections.
 
 q_options
 """""""""
@@ -173,17 +173,17 @@ Instead of setting ``sync`` on each individual ``async`` you can also configure
 Connection pooling
 ------------------
 
-Django Q tries to pass redis connections around its parts as much as possible to save you from running out of connections.
-When you are making individual calls to :func:`async` a lot though, it can help to set up a redis connection to reuse for :func:`async`:
+Django Q tries to pass broker instances around its parts as much as possible to save you from running out of connections.
+When you are making individual calls to :func:`async` a lot though, it can help to set up a broker to reuse for :func:`async`:
 
 .. code:: python
 
-    # redis connection economy example
-    from django_q import async
-    from django_q.conf import redis_client
+    # broker connection economy example
+    from django_q import async, get_broker
 
+    broker = get_broker()
     for i in range(50):
-        async('math.modf', 2.5, redis=redis_client)
+        async('math.modf', 2.5, broker=broker)
 
 .. tip::