New example: Distributed task queue

Adds an example of using Kubernetes to build a distributed task queue
using Celery along with a RabbitMQ broker and Flower frontend.

Resolves: #1788

examples/celery-rabbitmq/flower/Dockerfile

@@ -0,0 +1,15 @@
+FROM ubuntu:trusty
+
+# update the package repository and install python pip
+RUN apt-get -y update && apt-get -y install python-dev python-pip
+
+# install flower
+RUN pip install flower
+
+# Make sure we expose port 5555 so that we can connect to it
+EXPOSE 5555
+
+ADD run_flower.sh /usr/local/bin/run_flower.sh
+
+# Running flower
+CMD ["/bin/bash", "/usr/local/bin/run_flower.sh"]

examples/celery-rabbitmq/flower/run_flower.sh

@@ -0,0 +1,17 @@
+#!/bin/bash
+
+# Copyright 2014 Google Inc. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+flower --broker=amqp://guest:guest@${RABBITMQ_SERVICE_SERVICE_HOST:localhost}:5672//