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diff --git a/docs/testing/user/index.rst b/docs/testing/user/index.rst
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+.. _storperf-userguide:
+
+.. This work is licensed under a Creative Commons Attribution 4.0 International
+.. License.
+.. http://creativecommons.org/licenses/by/4.0
+.. (c) OPNFV, Dell EMC and others.
+
+======================
+StorPerf User Guide
+======================
+
+.. toctree::
+   :maxdepth: 2
+
+   introduction.rst
+   installation.rst
+   test-usage.rst
diff --git a/docs/testing/user/installation.rst b/docs/testing/user/installation.rst
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+.. This work is licensed under a Creative Commons Attribution 4.0 International License.
+.. http://creativecommons.org/licenses/by/4.0
+.. (c) OPNFV, Dell EMC and others.
+
+===========================
+StorPerf Installation Guide
+===========================
+
+OpenStack Prerequisites
+===========================
+If you do not have an Ubuntu 16.04 image in Glance, you will need to add one.
+There are scripts in storperf/ci directory to assist, or you can use the follow
+code snippets:
+
+.. code-block:: bash
+
+    # Put an Ubuntu Image in glance
+    wget -q https://cloud-images.ubuntu.com/releases/16.04/release/ubuntu-16.04-server-cloudimg-amd64-disk1.img
+    openstack image create "Ubuntu 16.04 x86_64" --disk-format qcow2 --public \
+        --container-format bare --file ubuntu-16.04-server-cloudimg-amd64-disk1.img
+
+    # Create StorPerf flavor
+    openstack flavor create storperf \
+        --id auto \
+        --ram 8192 \
+        --disk 4 \
+        --vcpus 2
+
+
+Planning
+===========================
+
+StorPerf is delivered as a `Docker container
+<https://hub.docker.com/r/opnfv/storperf/tags/>`__.  There are two possible
+methods for installation in your environment:
+   1. Run container on Jump Host
+   2. Run container in a VM
+
+
+Running StorPerf on Jump Host
+=============================
+
+Requirements:
+
+    * Docker must be installed
+    * Jump Host must have access to the OpenStack Controller API
+    * Jump Host must have internet connectivity for downloading docker image
+    * Enough floating IPs must be available to match your agent count
+
+Running StorPerf in a VM
+========================
+
+Requirements:
+
+    * VM has docker installed
+    * VM has OpenStack Controller credentials and can communicate with the Controller API
+    * VM has internet connectivity for downloading the docker image
+    * Enough floating IPs must be available to match your agent count
+
+VM Creation
+~~~~~~~~~~~
+
+The following procedure will create the VM in your environment
+
+.. code-block:: console
+
+    # Create the StorPerf VM itself.  Here we use the network ID generated by OPNFV FUEL.
+    ADMIN_NET_ID=`neutron net-list | grep 'admin_internal_net ' | awk '{print $2}'`
+
+    nova boot --nic net-id=$ADMIN_NET_ID --flavor m1.small --key-name=StorPerf --image 'Ubuntu 14.04' 'StorPerf Master'
+
+At this point, you may associate a floating IP with the StorPerf master VM.
+
+VM Docker Installation
+~~~~~~~~~~~~~~~~~~~~~~
+
+The following procedure will install Docker on Ubuntu 14.04.
+
+.. code-block:: console
+
+    sudo apt-key adv --keyserver hkp://p80.pool.sks-keyservers.net:80 --recv-keys 58118E89F3A912897C070ADBF76221572C52609D
+    cat << EOF | sudo tee /etc/apt/sources.list.d/docker.list
+    deb https://apt.dockerproject.org/repo ubuntu-trusty main
+    EOF
+
+    sudo apt-get update
+    sudo apt-get install -y docker-engine
+    sudo usermod -aG docker ubuntu
+
+Pulling StorPerf Container
+==========================
+
+Danube
+~~~~~~
+
+The tag for the latest stable Danube will be:
+
+.. code-block:: bash
+
+   docker pull opnfv/storperf:danube.1.0
+
+Colorado
+~~~~~~~~
+
+The tag for the latest stable Colorado release is:
+
+.. code-block:: bash
+
+   docker pull opnfv/storperf:colorado.0.1
+
+Brahmaputra
+~~~~~~~~~~~
+
+The tag for the latest stable Brahmaputra release is:
+
+.. code-block:: bash
+
+   docker pull opnfv/storperf:brahmaputra.1.2
+
+Development
+~~~~~~~~~~~
+
+The tag for the latest development version is:
+
+.. code-block:: bash
+
+   docker pull opnfv/storperf:master
+
+
diff --git a/docs/testing/user/introduction.rst b/docs/testing/user/introduction.rst
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+.. This work is licensed under a Creative Commons Attribution 4.0 International License.
+.. http://creativecommons.org/licenses/by/4.0
+.. (c) OPNFV, Dell EMC and others.
+
+==================================
+StorPerf Container Execution Guide
+==================================
+
+Planning
+========
+
+There are some ports that the container can expose:
+
+    * 22 for SSHD. Username and password are root/storperf. This is used for CLI access only
+    * 5000 for StorPerf ReST API.
+    * 8000 for StorPerf's Graphite Web Server
+
+OpenStack Credentials
+~~~~~~~~~~~~~~~~~~~~~
+
+You must have your OpenStack Controller environment variables defined and passed to
+the StorPerf container. The easiest way to do this is to put the rc file contents
+into a clean file the looks similar to this for V2 authentication:
+
+.. code-block:: console
+
+    OS_AUTH_URL=http://10.13.182.243:5000/v2.0
+    OS_TENANT_ID=e8e64985506a4a508957f931d1800aa9
+    OS_TENANT_NAME=admin
+    OS_PROJECT_NAME=admin
+    OS_USERNAME=admin
+    OS_PASSWORD=admin
+    OS_REGION_NAME=RegionOne
+
+For V3 authentication, use the following:
+
+.. code-block:: console
+
+   OS_AUTH_URL=http://10.13.182.243:5000/v3
+   OS_PROJECT_ID=32ae78a844bc4f108b359dd7320463e5
+   OS_PROJECT_NAME=admin
+   OS_USER_DOMAIN_NAME=Default
+   OS_USERNAME=admin
+   OS_PASSWORD=admin
+   OS_REGION_NAME=RegionOne
+   OS_INTERFACE=public
+   OS_IDENTITY_API_VERSION=3
+
+Additionally, if you want your results published to the common OPNFV Test Results
+ DB, add the following:
+
+.. code-block:: console
+
+    TEST_DB_URL=http://testresults.opnfv.org/testapi
+
+Running StorPerf Container
+==========================
+
+You might want to have the local disk used for storage as the default size of the docker
+container is only 10g. This is done with the -v option, mounting under
+/opt/graphite/storage/whisper
+
+.. code-block:: console
+
+    mkdir -p ~/carbon
+    sudo chown 33:33 ~/carbon
+
+The recommended method of running StorPerf is to expose only the ReST and Graphite
+ports.  The command line below shows how to run the container with local disk for
+the carbon database.
+
+.. code-block:: console
+
+    docker run -t --env-file admin-rc -p 5000:5000 -p 8000:8000 -v ~/carbon:/opt/graphite/storage/whisper --name storperf opnfv/storperf
+
+
+Docker Exec
+~~~~~~~~~~~
+
+Instead of exposing port 5022 externally, you can use the exec method in docker.  This
+provides a slightly more secure method of running StorPerf container without having to
+expose port 22.
+
+If needed, the container can be entered with docker exec.  This is not normally required.
+
+.. code-block:: console
+
+    docker exec -it storperf bash
+
+Container with SSH
+~~~~~~~~~~~~~~~~~~
+
+Running the StorPerf Container with all ports open and a local disk for the result
+storage.  This is not recommended as the SSH port is open.
+
+.. code-block:: console
+
+    docker run -t --env-file admin-rc -p 5022:22 -p 5000:5000 -p 8000:8000 -v ~/carbon:/opt/graphite/storage/whisper --name storperf opnfv/storperf
+
+This will then permit ssh to localhost port 5022 for CLI access.
+
diff --git a/docs/testing/user/test-usage.rst b/docs/testing/user/test-usage.rst
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+++ b/docs/testing/user/test-usage.rst
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+.. This work is licensed under a Creative Commons Attribution 4.0 International License.
+.. http://creativecommons.org/licenses/by/4.0
+.. (c) OPNFV, Dell EMC and others.
+
+=============================
+StorPerf Test Execution Guide
+=============================
+
+Prerequisites
+=============
+
+This guide requires StorPerf to be running and have its ReST API accessible.  If
+the ReST API is not running on port 5000, adjust the commands provided here as
+needed.
+
+Interacting With StorPerf
+=========================
+
+Once the StorPerf container has been started and the ReST API exposed, you can
+interact directly with it using the ReST API.  StorPerf comes with a Swagger
+interface that is accessible through the exposed port at:
+
+.. code-block:: console
+
+   http://StorPerf:5000/swagger/index.html
+
+The typical test execution follows this pattern:
+
+#. Configure the environment
+#. Initialize the cinder volumes
+#. Execute one or more performance runs
+#. Delete the environment
+
+Configure The Environment
+=========================
+
+The following pieces of information are required to prepare the environment:
+
+- The number of VMs/Cinder volumes to create
+- The Glance image that holds the VM operating system to use.  StorPerf has
+  only been tested with Ubuntu 16.04
+- The name of the public network that agents will use
+- The size, in gigabytes, of the Cinder volumes to create
+
+The ReST API is a POST to http://StorPerf:5000/api/v1.0/configurations and
+takes a JSON payload as follows.
+
+.. code-block:: json
+
+   {
+     "agent_count": int,
+     "agent_image": string,
+     "public_network": string,
+     "volume_size": int
+   }
+
+This call will block until the stack is created, at which point it will return
+the OpenStack heat stack id.
+
+Initialize the Cinder Volumes
+=============================
+Before executing a test run for the purpose of measuring performance, it is
+necessary to fill the Cinder volume with random data.  Failure to execute this
+step can result in meaningless numbers, especially for read performance.  Most
+Cinder drivers are smart enough to know what blocks contain data, and which do
+not.  Uninitialized blocks return "0" immediately without actually reading from
+the volume.
+
+Initiating the data fill looks the same as a regular performance test, but uses
+the special workload called "_warm_up".  StorPerf will never push _warm_up
+data to the OPNFV Test Results DB, nor will it terminate the run on steady state.
+It is guaranteed to run to completion, which fills 100% of the volume with
+random data.
+
+The ReST API is a POST to http://StorPerf:5000/api/v1.0/jobs and
+takes a JSON payload as follows.
+
+.. code-block:: json
+
+   {
+      "workload": "_warm_up"
+   }
+
+This will return a job ID as follows.
+
+.. code-block:: json
+
+   {
+     "job_id": "edafa97e-457e-4d3d-9db4-1d6c0fc03f98"
+   }
+
+This job ID can be used to query the state to determine when it has completed.
+See the section on querying jobs for more information.
+
+Execute a Performance Run
+=========================
+Performance runs can execute either a single workload, or iterate over a matrix
+of workload types, block sizes and queue depths.
+
+Workload Types
+~~~~~~~~~~~~~~
+rr
+   Read, Random.  100% read of random blocks
+rs
+   Read, Sequential.  100% read of sequential blocks of data
+rw
+   Read / Write Mix, Random.  70% random read, 30% random write
+wr
+   Write, Random.  100% write of random blocks
+ws
+   Write, Sequential.  100% write of sequential blocks.
+
+Block Sizes
+~~~~~~~~~~~
+A comma delimited list of the different block sizes to use when reading and
+writing data.  Note: Some Cinder drivers (such as Ceph) cannot support block
+sizes larger than 16k (16384).
+
+Queue Depths
+~~~~~~~~~~~~
+A comma delimited list of the different queue depths to use when reading and
+writing data.  The queue depth parameter causes FIO to keep this many I/O
+requests outstanding at one time.  It is used to simulate traffic patterns
+on the system.  For example, a queue depth of 4 would simulate 4 processes
+constantly creating I/O requests.
+
+Deadline
+~~~~~~~~
+The deadline is the maximum amount of time in minutes for a workload to run.  If
+steady state has not been reached by the deadline, the workload will terminate
+and that particular run will be marked as not having reached steady state.  Any
+remaining workloads will continue to execute in order.
+
+.. code-block:: json
+
+   {
+      "block_sizes": "2048,16384,
+      "deadline": 20,
+      "queue_depths": "2,4",
+      "workload": "wr,rr,rw",
+   }
+
+Metadata
+~~~~~~~~
+A job can have metadata associated with it for tagging.  The following metadata
+is required in order to push results to the OPNFV Test Results DB:
+
+.. code-block:: json
+
+      "metadata": {
+          "disk_type": "HDD or SDD",
+          "pod_name": "OPNFV Pod Name",
+          "scenario_name": string,
+          "storage_node_count": int,
+          "version": string,
+          "build_tag": string,
+          "test_case": "snia_steady_state"
+      }
+
+
+
+Query Jobs Information
+======================
+
+By issuing a GET to the job API http://StorPerf:5000/api/v1.0/jobs?job_id=<ID>,
+you can fetch information about the job as follows:
+
+- &type=status: to report on the status of the job.
+- &type=metrics: to report on the collected metrics.
+- &type=metadata: to report back any metadata sent with the job ReST API
+
+Status
+~~~~~~
+The Status field can be:
+- Running to indicate the job is still in progress, or
+- Completed to indicate the job is done.  This could be either normal completion
+  or manually terminated via HTTP DELETE call.
+
+Workloads can have a value of:
+- Pending to indicate the workload has not yet started,
+- Running to indicate this is the active workload, or
+- Completed to indicate this workload has completed.
+
+This is an example of a type=status call.
+
+.. code-block:: json
+
+   {
+     "Status": "Running",
+     "TestResultURL": null,
+     "Workloads": {
+       "eeb2e587-5274-4d2f-ad95-5c85102d055e.ws.queue-depth.1.block-size.16384": "Pending",
+       "eeb2e587-5274-4d2f-ad95-5c85102d055e.ws.queue-depth.1.block-size.4096": "Pending",
+       "eeb2e587-5274-4d2f-ad95-5c85102d055e.ws.queue-depth.1.block-size.512": "Pending",
+       "eeb2e587-5274-4d2f-ad95-5c85102d055e.ws.queue-depth.4.block-size.16384": "Running",
+       "eeb2e587-5274-4d2f-ad95-5c85102d055e.ws.queue-depth.4.block-size.4096": "Pending",
+       "eeb2e587-5274-4d2f-ad95-5c85102d055e.ws.queue-depth.4.block-size.512": "Pending",
+       "eeb2e587-5274-4d2f-ad95-5c85102d055e.ws.queue-depth.8.block-size.16384": "Completed",
+       "eeb2e587-5274-4d2f-ad95-5c85102d055e.ws.queue-depth.8.block-size.4096": "Pending",
+       "eeb2e587-5274-4d2f-ad95-5c85102d055e.ws.queue-depth.8.block-size.512": "Pending"
+     }
+   }
+
+Metrics
+~~~~~~~
+Metrics can be queried at any time during or after the completion of a run.
+Note that the metrics show up only after the first interval has passed, and
+are subject to change until the job completes.
+
+This is a sample of a type=metrics call.
+
+.. code-block:: json
+
+   {
+     "rw.queue-depth.1.block-size.512.read.bw": 52.8,
+     "rw.queue-depth.1.block-size.512.read.iops": 106.76199999999999,
+     "rw.queue-depth.1.block-size.512.read.lat.mean": 93.176,
+     "rw.queue-depth.1.block-size.512.write.bw": 22.5,
+     "rw.queue-depth.1.block-size.512.write.iops": 45.760000000000005,
+     "rw.queue-depth.1.block-size.512.write.lat.mean": 21764.184999999998
+   }
+
+Abort a Job
+===========
+Issuing an HTTP DELETE to the job api http://StorPerf:5000/api/v1.0/jobs will
+force the termination of the whole job, regardless of how many workloads
+remain to be executed.
+
+.. code-block:: bash
+
+  curl -X DELETE --header 'Accept: application/json' http://StorPerf:5000/api/v1.0/jobs
+
+Delete the Environment
+======================
+After you are done testing, you can have StorPerf delete the Heat stack by
+issuing an HTTP DELETE to the configurations API.
+
+.. code-block:: bash
+
+  curl -X DELETE --header 'Accept: application/json' http://StorPerf:5000/api/v1.0/configurations
+
+You may also want to delete an environment, and then create a new one with a
+different number of VMs/Cinder volumes to test the impact of the number of VMs
+in your environment.