CORD Quick Start Guide using Physical Nodes
This guide is meant to enable the user to utilize the artifacts of this repository to to deploy CORD on to a physical hardware rack. The artifacts in this repository will deploy CORD against a standard physical rack wired according to the best practices as defined in this document.
NOTE: If you are new to CORD, you should start by bringing up a development POD on a single physical server to get familiar with the CORD deployment process. Instructions to do so are in quickstart.md.
Physical configuration
As depicted in the diagram above the base model for the CORD POD deployment contains:
- 4 OF switches comprising the leaf - spine fabric utilized for data traffic
- 4 compute nodes with with 2 40G ports and 2 1G ports
- 1 top of rack (TOR) switch utilized for management communications
The best practices in terms of connecting the components of the CORD POD include:
- Leaf nodes are connected to the spines nodes starting at the highest port number on the leaf.
- For a given leaf node, its connection to the spine nodes terminate on the same port number on each spine.
- Leaf n connections to spine nodes terminate at port n on each spine node.
- Leaf spine switches are connected into the management TOR starting from the highest port number.
- Compute nodes 40G interfaces are named eth0 and eth1.
- Compute nodes 10G interfaces are named eth2 and eth3.
- Compute node n is connected to the management TOR switch on port n, egressing from the compute node at eth2.
- Compute node n is connected to its primary leaf, egressing at eth0 and terminating on the leaf at port n.
- Compute node n is connected to its secondary leaf, egressing at eth1 and terminating on the leaf at port n.
- eth3 on the head node is the uplink from the POD to the Internet.
The following assumptions are made about the phyical CORD POD being deployed:
- The leaf - spine switchs are Accton 6712s
- The compute nodes are using 40G Intel NIC cards
- The compute node that is to be designated the head node has Ubuntu 14.04 LTS installed.
Prerequisite: Vagrant is installed and operationally. Note: This quick start guide has only been tested against Vagrant and VirtualBox, specially on MacOS.
Bootstrap the Head Node
The head node is the key to the physical deployment of a CORD POD. The automated deployment of the physical POD is designed such that the head node is manually deployed, with the aid of automation tools, such as Ansible and from this head node the rest of the POD deployment is automated.
The head node can be deployed either from a node outside the CORD POD or by deploying from the head to the head node. The procedure in each scenario is slightly different because during the bootstrapping of the head node it is possible that the interfaces needed to be renamed and the system to be rebooted. This guide assumes that the head node is being bootstrapped from a host outside of the POD (OtP).
Clone the Repository
To clone the repository, on your OtP build host issue the git command:
git clone http://gerrit.opencord.org/cord
Complete
When this is complete, a listing (ls) of this directory should yield output similar to:
ls LICENSE.txt ansible/ components/ gradle/ gradlew.bat utils/ README.md build.gradle config/ gradle.properties scripts/ Vagrantfile buildSrc/ docs/ gradlew* settings.gradle
Create the Development Machine
The development environment is required for the tasks in this repository. This environment leverages Vagrant to install the tools required to build and deploy the CORD software.
To create the development machine the following Vagrant command can be used. This will create an Ubuntu 14.04 LTS based virtual machine and install some basic required packages, such as Docker, Docker Compose, and Oracle Java 8.
vagrant up corddev
NOTE: It may takes several minutes for the first command vagrant up corddev to complete as it will include creating the VM as well as downloading and installing various software packages.
Complete
Once the Vagrant VM is created and provisioned, you will see output ending with:
==> corddev: PLAY RECAP ********************************************************************* ==> corddev: localhost : ok=29 changed=25 unreachable=0 failed=0 ==> corddev: Configuring cache buckets...
Connect to the Development Machine
To connect to the development machine the following vagrant command can be used.
vagrant ssh corddev
Once connected to the Vagrant machine, you can find the deployment artifacts in the /cord directory on the VM.
cd /cord
Gradle
Gradle is the build tool that is used to help orchestrate the build and deployment of a POD. A launch script is included in the Vagrant machine that will automatically download and install gradle. The script is called gradlew and the download / install will be invoked on the first use of this script; thus the first use may take a little longer than subsequent invocations and requires a connection to the internet.
Complete
Once you have created and connected to the development environment this task is complete. The cord repository files can be found on the development machine under /cord. This directory is mounted from the host machine so changes made to files in this directory will be reflected on the host machine and vice-versa.
Fetch
The fetching phase of the deployment pulls Docker images from the public repository down to the local machine as well as clones any git submodules that are part of the project. This phase can be initiated with the following command:
./gradlew fetch
Complete
Once the fetch command has successfully been run, this step is complete. After this command completes you should be able to see the Docker images that were downloaded using the docker images command on the development machine:
docker images REPOSITORY TAG IMAGE ID CREATED SIZE python 2.7-alpine 836fa7aed31d 5 days ago 56.45 MB consul <none> 62f109a3299c 2 weeks ago 41.05 MB registry 2.4.0 8b162eee2794 9 weeks ago 171.1 MB abh1nav/dockerui latest 6e4d05915b2a 19 months ago 469.5 MB
Build Images
Bare metal provisioning leverages utilities built and packaged as Docker container images. These utilities are:
- cord-maas-bootstrap - (directory:
bootstrap) run at MAAS installation time to customize the MAAS instance via REST interfaces - cord-maas-automation - (directory:
automation) daemon on the head node to automate PXE booted servers through the MAAS bare metal deployment work flow - cord-maas-switchq - (directory:
switchq) daemon on the head node that watches for new switches being added to the POD and triggers provisioning when a switch is identified (via the OUI on MAC address). - cord-maas-provisioner - (directory:
provisioner) daemon on the head node to managing the execution of ansible playbooks against switches and compute nodes as they are added to the POD. - cord-ip-allocator - (directr:
ip-allocator) daemon on the head node used to allocate IP address for the fabric interfaces. - cord-dhcp-harvester - (directory:
harvester) run on the head node to facilitate CORD / DHCP / DNS integration so that all hosts can be resolved via DNS - opencord/mavenrepo
- cord-test/nose
- cord-test/quagga
- cord-test/radius
- onosproject/onos
The images can be built by using the following command. This will build all the images.
./gradlew buildImages
NOTE: The first time you run ./gradlew it will download from the Internet the gradle binary and install it locally. This is a one time operation.
Complete
Once the buildImages command successfully runs this task is complete. The CORD artifacts have been built and the Docker images can be viewed by using the docker images command on the development machine.
docker images --format 'table {{.Repository}}\t{{.Tag}}\t{{.Size}}\t{{.ID}}'
REPOSITORY TAG SIZE IMAGE ID
cord-maas-switchq latest 781 MB 4736cc8c4f71
cord-provisioner latest 814.6 MB 50ab479e4b52
cord-dhcp-harvester latest 60.67 MB 88f900d74f19
cord-maas-bootstrap latest 367.5 MB 19bde768c786
cord-maas-automation latest 366.8 MB 1e2ab7242060
cord-ip-allocator latest 324.3 MB f8f2849107f6
opencord/mavenrepo latest 434.2 MB 9d1ad7214262
cord-test/nose latest 1.028 GB 67b996f2ad19
cord-test/quagga latest 454.4 MB b46f7dd20bdf
cord-test/radius latest 312.1 MB e09d78aef295
onosproject/onos <none> 825.6 MB 309088c647cf
python 2.7-alpine 56.45 MB 836fa7aed31d
golang 1.6-alpine 282.9 MB d688f409d292
golang alpine 282.9 MB d688f409d292
ubuntu 14.04 196.6 MB 38c759202e30
consul <none> 41.05 MB 62f109a3299c
nginx latest 182.7 MB 0d409d33b27e
registry 2.4.0 171.1 MB 8b162eee2794
swarm <none> 19.32 MB 47dc182ea74b
nginx <none> 182.7 MB 3c69047c6034
hbouvier/docker-radius latest 280.9 MB 5d5d3c0a91b0
abh1nav/dockerui latest 469.5 MB 6e4d05915b2a
NOTE: Not all the above Docker images were built by the buildImages command. Some of them, list golang, are used as a base for other Docker images; and some, like abh1nav/dockerui were downloaded when the development machine was created with vagrant up.
Deployment Configuration File
The commands to deploy the POD can be customized via a deployment configuration file. The file is in YAML.
To construct a configuration file for yoru physical POD you should copy the sample deployment configuration found in config/sample.yml and modify the values to fit your physical deployment.
Prime the Target server
The target server is the server that will assume the role of the head node in the cord POD. Priming this server consists of deploying some base software that is required to deploy the base software, such as a docker registry. Having the docker registry on the target server allows the deployment process to push images to the target server that are used in the reset of the process, thus making the head node a self contained deployment.
./gradlew -PdeployConfig=config/podX.yml prime
Complete
Once the prime command successfully runs this task is complete. When this step is complete a Docker registry and Docker registry mirror. It can be verified that these are running by using the docker ps command.
docker ps --format 'table {{.ID}}\t{{.Image}}\t{{.Command}}\t{{.CreatedAt}}'
CONTAINER ID IMAGE COMMAND CREATED AT
5f1cbebe7e61 registry:2.4.0 "/bin/registry serve " 2016-07-13 17:03:08 +0000 UTC
6d3a911e5323 registry:2.4.0 "/bin/registry serve " 2016-07-13 17:03:08 +0000 UTC
Publish
Publishing consists of pushing the build docker images to the Docker repository on the target head node. This step can take a while as it has to transfer all the image from the development machine to the target head node. This step is started with the following command:
./gradlew -PtargetReg=<head-node-ip-address>:5000 publish
Complete
Once the publish command successfully runs this task is complete. When this step is complete it can be verified by performing a query on the target server's Docker registry using the following command on the development machine.
curl -sS http://head-node-ip-address:5000/v2/_catalog | jq .
{
"repositories": [
"consul",
"cord-dhcp-harvester",
"cord-ip-allocator",
"cord-maas-automation",
"cord-maas-bootstrap",
"cord-maas-switchq",
"cord-provisioner",
"mavenrepo",
"nginx",
"onosproject/onos",
"swarm"
]
}
Deploy Bare Metal Provisioning Capabilities
There are three parts to deploying bare metal: deploying the head node PXE server (MAAS), PXE booting a compute node, and post deployment provisioning of the compute node. These tasks are accomplished utilizing additionally Vagrant machines as well as executing gradle tasks in the Vagrant development machine.
Deploy MAAS
Canonical MAAS provides the PXE and other bare metal provisioning services for CORD and will be deployed on the head node.
./gradlew deployBase
This task can take some time so be patient. It should complete without errors, so if an error is encountered something went horrible wrong (tm).
Complete
This step is complete when the command successfully runs. The Web UI for MAAS can be viewed by browsing to the target machine using a URL of the form http://head-node-ip-address/MAAS.
After the deployBase command install MAAS, it initiates the download of an Ubuntu 14.04 boot image that will be used to boot the other POD servers. This download can take some time and the process cannot continue until the download is complete. The status of the download can be verified through the UI by visiting the URL http://head-node-ip-address/MAAS/images/, or via the command line from head node via the following commands:
APIKEY=$(sudo maas-region-admin apikey --user=cord) maas login cord http://localhost/MAAS/api/1.0 "$APIKEY" maas cord boot-resources read | jq 'map(select(.type != "Synced"))'
It the output of of the above commands is not a empty list, [], then the images have not yet been completely downloaded. depending on your network speed this could take several minutes. Please wait and then attempt the last command again until the returned list is empty, []. When the list is empty you can proceed.
Browse around the UI and get familiar with MAAS via documentation at http://maas.io
Deploy XOS
XOS provides service provisioning and orchestration for the CORD POD. To deploy XOS to the head node use the following command:
./gradlew deployPlatform
This task can take some time so be patient. It should complete without errors, so if an error is encountered something went horrible wrong (tm).
Complete
This step is complete when the command successfully runs. The deployment of XOS includes a deployment of Open Stack.
Booting Compute Nodes
Network configuration
The proposed configuration for a CORD POD is has the following network configuration on the head node:
- eth0 / eth1 - 40G interfaces, not relevant for the test environment.
- eth2 - the interface on which the head node supports PXE boots and is an internally interface to which all the compute nodes connected
- eth3 - WAN link. the head node will NAT from eth2 to eth3
- mgmtbr - Not associated with a physical network and used to connect in the VM created by the openstack install that is part of XOS
The Ansible scripts configure MAAS to support DHCP/DNS/PXE on the eth2 and mgmtbr interfaces.
Once it has been verified that the ubuntu boot image has been downloaded the compute nodes may be PXE booted.
Note: In order to ensure that the compute node PXE boot the bios settings may have to be adjusted. Additionally, the remote power management on the compute nodes must be enabled.
The compute node will boot, register with MAAS, and then be shut off. After this is complete an entry for the node will be in the MAAS UI at http://head-node-ip-address/MAAS/#/nodes. It will be given a random hostname made up, in the Canonical way, of a adjective and an noun, such as popular-feast.cord.lab. The name will be different for every deployment. The new node will be in the New state.
As the machines boot they should be automatically transitioned from New through the states of Commissioning and Acquired to Deployed.
Post Deployment Provisioning of the Compute Node
Once the node is in the Deployed state, it will be provisioned for use in a CORD POD by the execution of an Ansible playbook.
Complete
Once the compute node is in the Deployed state and post deployment provisioning on the compute node is complete, this task is complete.
Logs of the post deployment provisioning of the compute nodes can be found in /etc/maas/ansible/logs on the head node.
Assitionally, the post deployment provisioning of the compute nodes can be queried from the provision service using curl
curl -sS http://$(docker inspect --format '{{.NetworkSettings.Networks.maas_default.IPAddress}}' provisioner):4243/provision/ | jq '[.[] | { "status": .status, "name": .request.Info.name}]'
[
{
"message": "",
"name": "steel-ghost.cord.lab",
"status": 2
},
{
"message": "",
"name": "feline-shirt.cord.lab",
"status": 2
},
{
"message": "",
"name": "yellow-plot.cord.lab",
"status": 2
}
]
In the above a "status" of 2 means that the provisioning is complete. The other values that status might hold are:
0- Pending, the request has been accepted by the provisioner but not yet started1- Running, the request is being processed and the node is being provisioned2- Complete, the provisioning has been completed successfully3- Failed, the provisioning has failed and themessagewill be populated with the exit message from provisioning.
Booting OpenFlow switches
Once the compute nodes have begun their boot process you may also boot the switches that support the leaf spine fabric. These switches should ONIE install boot and download their boot image from MAAS.
Complete
This step is complete when the command completes successfully. You can verify the provisioning of the false switch by querying the provisioning service using curl.
curl -sS http://$(docker inspect --format '{{.NetworkSettings.Networks.maas_default.IPAddress}}' provisioner):4243/provision/ | jq '[.[] | { "status": .status, "name": .request.Info.name, "message": .message}]'
[
{
"message": "",
"name": "leaf-1",
"status": 2
},
{
"message": "",
"name": "leaf-2",
"status": 2
},
{
"message": "",
"name": "spine-1",
"status": 2
},
{
"message": "",
"name": "spine-2",
"status": 2
}
]
In the above a "status" of 2 means that the provisioning is complete. The other values that status might hold are:
0- Pending, the request has been accepted by the provisioner but not yet started1- Running, the request is being processed and the node is being provisioned2- Complete, the provisioning has been completed successfully3- Failed, the provisioning has failed and themessagewill be populated with the exit message from provisioning.