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.
As depicted in the diagram above the base model for the CORD POD deployment contains:
The best practices in terms of connecting the components of the CORD POD include:
The following assumptions are made about the phyical CORD POD being deployed:
Prerequisite: Vagrant is installed and operationally. Note: This quick start guide has only been tested against Vagrant and VirtualBox, specially on MacOS.
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).
To clone the repository, on your OtP build host issue the git
command:
git clone http://gerrit.opencord.org/cord
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
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: The VM will consume 2G RAM and about 12G disk space. Make sure it can obtain sufficient resources. 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.
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
The important thing is that the unreachable and failed counts are both zero.
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 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.
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.
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
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
Bare metal provisioning leverages utilities built and packaged as Docker container images. These utilities are:
bootstrap
) run at MAAS installation time to customize the MAAS instance via REST interfacesautomation
) daemon on the head node to automate PXE booted servers through the MAAS bare metal deployment work flowswitchq
) 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).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.ip-allocator
) daemon on the head node used to allocate IP address for the fabric interfaces.harvester
) run on the head node to facilitate CORD / DHCP / DNS integration so that all hosts can be resolved via DNSThe 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.
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
.
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.
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 -PtargetReg=<head-node-ip-address>:5000 prime
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 -a --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
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
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" ] }
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.
Canonical MAAS provides the PXE and other bare metal provisioning services for CORD and will be deployed on the head node.
./gradlew -PdeployConfig=config/podX.yml deployBase
This task can take some time so be patient. It should complete without errors, so if an error is encountered something went Horribly Wrong (tm). See the Getting Help section.
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:5240/MAAS
. To login web page , use Cord for username and password.
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:5240/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
XOS provides service provisioning and orchestration for the CORD POD. To deploy XOS to the head node use the following command:
./gradlew -PdeployConfig=config/podX.yml deployPlatform
This task can take some time so be patient. It should complete without errors, so if an error is encountered something went Horribly Wrong (tm). See the Getting Help section.
This step is complete when the command successfully runs. The deployment of XOS includes a deployment of Open Stack.
The proposed configuration for a CORD POD is has the following network configuration on the head node:
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:5240/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
.
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.
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://$(docker inspect --format '{{.NetworkSettings.Networks.maas_default.IPAddress}}' provisioner):4243/provision/ | jq '[.[] | { "status": .status, "name": .request.Info.name}]' [ { "message": "", "name": "steel-ghost.cord.lab", "status": 2 }, { "message": "", "name": "feline-shirt.cord.lab", "status": 2 }, { "message": "", "name": "yellow-plot.cord.lab", "status": 2 } ]
In the above a "status" of 2 means that the provisioning is complete. The other values that status might hold are:
0
- Pending, the request has been accepted by the provisioner but not yet started1
- Running, the request is being processed and the node is being provisioned2
- Complete, the provisioning has been completed successfully3
- Failed, the provisioning has failed and the message
will be populated with the exit message from provisioning.Please refer to Re-provision Compute Nodes and Switches if you want to restart this process or re-provision a initialized compute node.
Once the compute nodes have begun their boot process you may also boot the switches that support the leaf spine fabric. These switches should ONIE install boot and download their boot image from MAAS.
This step is complete when the command completes successfully. You can verify the provisioning of the false switch by querying the provisioning service using curl.
curl -sS http://$(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 the message
will be populated with the exit message from provisioning.Please refer to Re-provision Compute Nodes and Switches if you want to restart this process or re-provision a initialized switch.
The compute node provisioning process described above (under Booting Compute Nodes) will install the servers as OpenStack compute nodes. You should be able to see them on the CORD head node by running the following commands:
source ~/admin-openrc.sh nova hypervisor-list
You will see output like the following (showing each of the nodes you have provisioned):
+----+-------------------------+ | ID | Hypervisor hostname | +----+-------------------------+ | 1 | nova-compute-1.cord.lab | +----+-------------------------+
However, after the compute nodes are provisioned, currently some additional manual configuration is required to set up the ONOS services in XOS. We intend to automate this process in the future, but for the time being the following steps must be carried out.
To prepare to run these steps, on the CORD head node, login to the XOS VM and change to the service-profile/cord-pod
directory:
ssh ubuntu@xos cd service-profile/cord-pod
All of the steps listed below are run in this directory.
To create entries for the newly provisioned nodes in XOS, run the following command:
make new-nodes
XOS maintains the network configuration of the ONOS VTN app and pushes this configuration to ONOS. Information for new nodes must be manually added to XOS. XOS will generate the VTN network configuration from this information and push it to ONOS.
A script called make-vtn-external-yaml.sh
can be used to create a TOSCA template for the VTN information maintained by XOS. To run it:
rm vtn-external.yaml; make vtn-external.yaml
This will generate a TOSCA file called vtn-external.yaml
that is used to store the network information required by VTN in XOS. The information in this TOSCA file closely maps onto the fields in the VTN ONOS app's network configuration. For example, in vtn-external.yaml
, under the properties field of service#vtn, you will see fields such as privateGatewayMac, localManagementIp, and ovsdbPort; these correspond to the fields of the same name in VTN's network configuration.
The vtn-external.yaml
file is generated with the information that applies to the single-node CORD POD. You will need to change the values of some fields in this file for your POD. For each OpenStack compute node (e.g., nova-compute-1.cord.lab), you will see the following in vtn-external.yaml
:
nova-compute-1.cord.lab: type: tosca.nodes.Node # VTN bridgeId field for node nova-compute-1.cord.lab nova-compute-1.cord.lab_bridgeId_tag: type: tosca.nodes.Tag properties: name: bridgeId value: of:0000000000000001 requirements: - target: node: nova-compute-1.cord.lab relationship: tosca.relationships.TagsObject - service: node: service#ONOS_CORD relationship: tosca.relationships.MemberOfService # VTN dataPlaneIntf field for node nova-compute-1.cord.lab nova-compute-1.cord.lab_dataPlaneIntf_tag: type: tosca.nodes.Tag properties: name: dataPlaneIntf value: fabric requirements: - target: node: nova-compute-1.cord.lab relationship: tosca.relationships.TagsObject - service: node: service#ONOS_CORD relationship: tosca.relationships.MemberOfService # VTN dataPlaneIp field for node nova-compute-1.cord.lab nova-compute-1.cord.lab_dataPlaneIp_tag: type: tosca.nodes.Tag properties: name: dataPlaneIp value: 10.168.0.253/24 requirements: - target: node: nova-compute-1.cord.lab relationship: tosca.relationships.TagsObject - service: node: service#ONOS_CORD relationship: tosca.relationships.MemberOfService
The above YAML stores node-specific fields required by VTN:
You will need to edit the above values to reflect the desired configuration for each compute node. For more details on the format of VTN's network configuration, see the VTN Network Configuration Guide.
To configure the fabric gateway, you will need to edit the file cord-services.yaml
. You will see a section that looks like this:
addresses_vsg: type: tosca.nodes.AddressPool properties: addresses: 10.168.0.0/24 gateway_ip: 10.168.0.1 gateway_mac: 02:42:0a:a8:00:01
Edit this section so that it reflects the fabric's address block assigned to the vSGs, as well as the gateway IP and MAC address that the vSGs should use to reach the Internet.
Once the vtn-external.yaml
and cord-services.yaml
files have been edited as described above, push them to XOS by running the following:
make vtn make cord
This step is complete once you see the new information for the VTN app in XOS and ONOS.
To check the VTN configuration maintained by XOS:
http://<head-node>/admin/onos/onosapp/
padmin@vicci.org
letmein
To check that the network configuration has been successfully pushed to the ONOS VTN app and processed by it:
ssh -p 8101 karaf@onos-cord
karaf
cordvtn-nodes
commandThis will look like the following:
$ ssh -p 8101 karaf@onos-cord Password authentication Password: # the password is 'karaf' Welcome to Open Network Operating System (ONOS)! ____ _ ______ ____ / __ \/ |/ / __ \/ __/ / /_/ / / /_/ /\ \ \____/_/|_/\____/___/ Documentation: wiki.onosproject.org Tutorials: tutorials.onosproject.org Mailing lists: lists.onosproject.org Come help out! Find out how at: contribute.onosproject.org Hit '<tab>' for a list of available commands and '[cmd] --help' for help on a specific command. Hit '<ctrl-d>' or type 'system:shutdown' or 'logout' to shutdown ONOS. onos> cordvtn-nodes hostname=nova-compute-1, hostMgmtIp=192.168.122.140/24, dpIp=10.168.0.253/24, br-int=of:0000000000000001, dpIntf=fabric, init=COMPLETE Total 1 nodes
If the compute node is not initialized properly (i.e. not in the COMPLETE state): On the compute node, run
sudo ovs-vsctl del-br br-int
On the head node, run
ssh karaf@onos-cord-1 -p 8101
(password is karaf) and then in the ONOS CLI, run
cordvtn-node-init <compute-node-name>
(name is something like creamy-vegetable)
br-int
InterfaceThe routes on the compute node br-int
interface need to be manually configured now. Run the following command on compute-1 and compute-2 (nodes in 10.6.1.0/24)
sudo ip route add 10.6.2.0/24 via 10.6.1.254
Run the following command on compute-3 and compute-4 (nodes in 10.6.2.0/24)
sudo ip route add 10.6.1.0/24 via 10.6.2.254
Configuring the switching fabric for use with CORD is documented in the Fabric Configuration Guide on the OpenCORD wiki.
To modify the fabric configuration for your environment, on the head node, login to the XOS VM:
ssh ubuntu@xos
Then edit the file ~/xos_services/fabric/config/network-cfg-quickstart.json
as follows:
Replace the DPID of the leaf-spine switches: Locate the switches by running the following command on the haed node.
admin@cord-head-1:~$ cat /etc/bind/maas/dhcp_harvest.inc | grep onl onl-x86-CC37AB6182D2 IN A 10.6.0.11 ; cc:37:ab:61:82:d2 onl-x86-CC37AB617EC2 IN A 10.6.0.17 ; cc:37:ab:61:7e:c2 onl-x86-CC37AB6180CA IN A 10.6.0.8 ; cc:37:ab:61:80:ca onl-x86-CC37AB618048 IN A 10.6.0.18 ; cc:37:ab:61:80:48
The DPID of the switch is of:0000
followed by the MAC address. For example, the DPID is of:0000cc37ab6182d2
for onl-x86-CC37AB6182D2
Modify the MAC address of hosts: If a compute node has been provisioned by maas correctly, you should be able to find out its MAC address by running the following command on each compute node.
ifconfig br-int | grep HWaddr | awk {'print $5'}
A valid MAC address format should look like 00:02:c9:1e:b1:21
Once these steps are done, delete old configuration, apply new configuration, and restart apps in ONOS (still in the XOS VM):
cd ~/service-profile/cord-pod make delete_fabric_config make fabric make reactivate_fabric_apps
To verify that XOS has pushed the configuration to ONOS, log into ONOS in the onos-fabric VM and run netcfg
:
$ ssh -p 8101 karaf@onos-fabric Password authentication Password: Welcome to Open Network Operating System (ONOS)! ____ _ ______ ____ / __ \/ |/ / __ \/ __/ / /_/ / / /_/ /\ \ \____/_/|_/\____/___/ Documentation: wiki.onosproject.org Tutorials: tutorials.onosproject.org Mailing lists: lists.onosproject.org Come help out! Find out how at: contribute.onosproject.org Hit '<tab>' for a list of available commands and '[cmd] --help' for help on a specific command. Hit '<ctrl-d>' or type 'system:shutdown' or 'logout' to shutdown ONOS. onos> netcfg { "hosts" : { "00:00:00:00:00:04/None" : { "basic" : { "ips" : [ "10.6.2.2" ], "location" : "of:0000000000000002/4" } }, "00:00:00:00:00:03/None" : { "basic" : { "ips" : [ "10.6.2.1" ], "location" : "of:0000000000000002/3" } }, ... etc.
To correctly configure the fabric when VMs and containers are created on a physical host, XOS needs to associate the location
tag of each physical host (from the fabric configuration) with its Node object in XOS. This step needs to be done after new physical compute nodes are provisioned on the POD. To update the node locations in XOS:
ssh ubuntu@xos cd ~/service-profile/cord-pod rm fabric.yaml make fabric.yaml
Edit fabric.yaml
, updating the value
field under <hostname>_location_tag
to reflect the location
of the host from the fabric configuration created in the previous step. Then run:
make fabric
We need to manually connects the switches to ONOS after the network config is applied. This can be done by running following ansible script on the head node.
ansible-playbook /etc/maas/ansible/connect-switch.yml
This ansible script will automatically locate all switches in DHCP harvest and connect them to the controller.
This step is complete when each compute node can ping the fabric IP address of all the other nodes.
If it seems that something has gone wrong with your setup, there are a number of ways that you can get help -- in the documentation on the OpenCORD wiki, on the OpenCORD Slack channel (get an invitation here), or on the CORD-discuss mailing list.
See the How to Contribute to CORD wiki page for more information.
If something goes wrong and you want to reset a provisioned compute node or switch
curl -sS http://$(docker inspect --format '{{.NetworkSettings.Networks.maas_default.IPAddress}}' provisioner):4243/provision/ | jq '[.[] | { "status": .status, "id": .request.Info.id, "name": .request.Info.name}]'
curl -sS -XDELETE http://$(docker inspect --format '{{.NetworkSettings.Networks.maas_default.IPAddress}}' provisioner):4243/provision/<switch-id>