mik-laj commented on a change in pull request #10977:
URL: https://github.com/apache/airflow/pull/10977#discussion_r491672804



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File path: docs/howto/use-mesos.rst
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+ .. Licensed to the Apache Software Foundation (ASF) under one
+    or more contributor license agreements.  See the NOTICE file
+    distributed with this work for additional information
+    regarding copyright ownership.  The ASF licenses this file
+    to you 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.
+
+
+
+Scaling Out with Mesos (community contributed)
+==============================================
+
+There are two ways you can run airflow as a mesos framework:
+
+1. Running airflow tasks directly on mesos slaves, requiring each mesos slave 
to have airflow installed and configured.
+2. Running airflow tasks inside a docker container that has airflow installed, 
which is run on a mesos slave.
+
+Tasks executed directly on mesos slaves
+---------------------------------------
+
+:class:`airflow.contrib.executors.mesos_executor.MesosExecutor` allows you to 
schedule airflow tasks on a Mesos cluster.
+For this to work, you need a running mesos cluster and you must perform the 
following
+steps -
+
+1. Install airflow on a mesos slave where web server and scheduler will run,
+   let's refer to this as the "Airflow server".
+2. On the Airflow server, install mesos python eggs from `mesos downloads 
<http://open.mesosphere.com/downloads/mesos/>`_.

Review comment:
       Can you add pip install command if possible?




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