To quickly set up a testing cluster using MetalK8s, you need 3 machines running CentOS 7.4 to which you have SSH access (these can be VMs). Each machine acting as a Kubernetes node (all of them, in this example) also need to have at least one disk available to provision storage volumes.
Give some sizing examples
Defining an Inventory¶
To tell the Ansible-based deployment system on which machines MetalK8s should be installed, a so-called inventory needs to be provided. This inventory contains a file listing all the hosts comprising the cluster, as well as some configuration.
First, create a directory, e.g.
inventory/quickstart-cluster, in which
the inventory will be stored. For our setup, we need to create two files. One
listing all the hosts, aptly called
node-01 ansible_host=10.0.0.1 ansible_user=centos node-02 ansible_host=10.0.0.2 ansible_user=centos node-03 ansible_host=10.0.0.3 ansible_user=centos [kube-master] node-01 node-02 node-03 [etcd] node-01 node-02 node-03 [kube-node] node-01 node-02 node-03 [k8s-cluster:children] kube-node kube-master
Make sure to change IP-addresses, usernames etc. according to your infrastructure.
In a second file, called
kube-node.yml in a
subdirectory of our inventory, we declare how to setup storage (in the
default configuration) on hosts in the kube-node group, i.e. hosts on which
Pods will be scheduled:
metal_k8s_lvm: vgs: kubevg: drives: ['/dev/vdb']
In the above, we assume every kube-node host has a disk available as
/dev/vdb which can be used to set up Kubernetes PersistentVolumes. For
more information about storage, see Storage Architecture.
Entering the MetalK8s Shell¶
To easily install a supported version of Ansible and its dependencies, as well as some Kubernetes tools (kubectl and helm), we provide a make target which installs these in a local environment. To enter this environment, run make shell (this takes a couple of seconds on first run):
$ make shell Creating virtualenv... Installing Python dependencies... Downloading kubectl... Downloading Helm... Launching MetalK8s shell environment. Run 'exit' to quit. (metal-k8s) $
Now we’re all set to deploy a cluster:
(metal-k8s) $ ansible-playbook -i inventory/quickstart-cluster -b playbooks/deploy.yml
Grab a coffee and wait for deployment to end.
Inspecting the cluster¶
Once deployment finished, a file containing credentials to access the cluster is
inventory/quickstart-cluster/artifacts/admin.conf. We can
export this location in the shell such that the kubectl and
helm tools know how to contact the cluster kube-master nodes, and
(metal-k8s) $ export KUBECONFIG=`pwd`/inventory/quickstart-cluster/artifacts/admin.conf
Now, assuming port 6443 on the first kube-master node is reachable from your system, we can e.g. list the nodes:
(metal-k8s) $ kubectl get nodes NAME STATUS ROLES AGE VERSION node-01 Ready master,node 1m v1.9.5+coreos.0 node-02 Ready master,node 1m v1.9.5+coreos.0 node-03 Ready master,node 1m v1.9.5+coreos.0
or list all pods:
(metal-k8s) $ kubectl get pods --all-namespaces NAMESPACE NAME READY STATUS RESTARTS AGE kube-ingress nginx-ingress-controller-9d8jh 1/1 Running 0 1m kube-ingress nginx-ingress-controller-d7vvg 1/1 Running 0 1m kube-ingress nginx-ingress-controller-m8jpq 1/1 Running 0 1m kube-ingress nginx-ingress-default-backend-6664bc64c9-xsws5 1/1 Running 0 1m kube-ops alertmanager-kube-prometheus-0 2/2 Running 0 2m kube-ops alertmanager-kube-prometheus-1 2/2 Running 0 2m kube-ops es-client-7cf569f5d8-2z974 1/1 Running 0 2m kube-ops es-client-7cf569f5d8-qq4h2 1/1 Running 0 2m kube-ops es-data-cd5446fff-pkmhn 1/1 Running 0 2m kube-ops es-data-cd5446fff-zzd2h 1/1 Running 0 2m kube-ops es-exporter-elasticsearch-exporter-7df5bcf58b-k9fdd 1/1 Running 3 1m ...
Similarly, we can list all deployed Helm applications:
(metal-k8s) $ helm list NAME REVISION UPDATED STATUS CHART NAMESPACE es-exporter 3 Wed Apr 25 23:10:13 2018 DEPLOYED elasticsearch-exporter-0.1.2 kube-ops fluentd 3 Wed Apr 25 23:09:59 2018 DEPLOYED fluentd-elasticsearch-0.1.4 kube-ops heapster 3 Wed Apr 25 23:09:37 2018 DEPLOYED heapster-0.2.7 kube-system kibana 3 Wed Apr 25 23:10:06 2018 DEPLOYED kibana-0.2.2 kube-ops kube-prometheus 3 Wed Apr 25 23:09:22 2018 DEPLOYED kube-prometheus-0.0.33 kube-ops nginx-ingress 3 Wed Apr 25 23:09:09 2018 DEPLOYED nginx-ingress-0.11.1 kube-ingress prometheus-operator 3 Wed Apr 25 23:09:14 2018 DEPLOYED prometheus-operator-0.0.15 kube-ops
Various services to operate and monitor your MetalK8s cluster are provided. To
access these, first create a secure tunnel into your cluster by running
kubectl proxy. Then, while the tunnel is up and running, the following tools
|Kubernetes dashboard||A general purpose, web-based UI for Kubernetes clusters||http://localhost:8001/api/v1/namespaces/kube-system/services/https:kubernetes-dashboard:/proxy/|
|Grafana||Monitoring dashboards for cluster services||http://localhost:8001/api/v1/namespaces/kube-ops/services/kube-prometheus-grafana:http/proxy/|
|Cerebro||An administration and monitoring console for Elasticsearch clusters||http://localhost:8001/api/v1/namespaces/kube-ops/services/cerebro:http/proxy/||When accessing Cerebro, connect it to http://elasticsearch:9200 to operate the MetalK8s Elasticsearch cluster.|
|Kibana||A search console for logs indexed in Elasticsearch||http://localhost:8001/api/v1/namespaces/kube-ops/services/http:kibana:/proxy/||When accessing Kibana for the first
time, set up an index pattern for
See Cluster Services for more information about these services and their configuration.