- Kargo: a powerful and flexible way to build, hot upgrade/migrate, and scale kubernetes (k8s)
- X number of master node running : k8s for container orchestration, it will pilot and gives work to the minions
- Y number of minion/slave/worker nodes : running the actual containers and doing the actual work
- Z number of etcd: database to store your k8s configuration
- Efk: we will send all k8s container logs to an elasticsearch DB, via fluentd, and visualize dashboards with kibana
- Prometheus will monitoring all this infra, with grafana dashbaord
- Heapster is an alternative for monitoring your k8s cluster
- K8s dashboard addon (not efk dashboard), where you can visualize k8s component in a GUI
- Registry: a private docker registry deployed in the k8s cluster
- Gitlab CI/CD: a full example of continuous integration and continuous delivery of a simple app, in k8s
- Service-loadbalancer (static haproxy): which is the public gateway to access your internal k8s services (kibana, grafana)
- Traefik dynamic loadbalancer: an alternative to haproxy, quite powerful with its dynamic service discovery and auto certification
Prerequisit:
- Kargo support many different types of cloud. I will show you the broader way to build k8s while abstracting the OS creation. You will just need to give kargo some coreos hosts IP and ssh access.
More info: you can find an overview of that setup on my blog: https://greg.satoshi.tech/
Summary:
- 1. Deploy kubernetes
- 2. Deploy logging (efk) to collect k8s & containers events
- 3. Monitoring services and containers
- 4. Kubenetes dashboard addon
- 5. Docker private registry addon
- 6. Gitlab for CI & CD
- 7. LoadBalancers
- 8. Data persistence
- 9. Secure your k8s access with certificates (optional demonstration)
- 10. Troubleshooting
- 11. Annexes
- 12. Future work
We will deploy a base k8s multi-master, etcd cluster, and dns support. You can modify the architecture depending on which values you will set later in inventory.cfg.
git clone https://github.com/gregbkr/kubernetes-kargo-logging-monitoring.git k8s && cd k8s
Bastion
An ubuntu vm from where you will install the infra with kargo tool (which is ansible recipes in the background), and manage/pilot the k8s cluster with kubectl.
You need the latest version of ansible.
You will need Netaddr install on the bastion too:
pip install netaddr
Firewall
This setup doesn't managed firewall rules yet.
Please create a security group with port 0-40000 tcp & udp open for all k8s servers inside that group.
Bastion will be ouside this group. Please give some accesses to bastion on 22,80,443 port so this ubuntu server will be able to run kargo ansible recipes(22/tcp), and run kubectl(443/tcp).
Open outside acccess to 80,443/tcp, 5601/tcp (kibana), 3000 & 3002/tcp (grafana), 8080/tcp (traefik), 9090/tcp (prometheus), 9999/tcp(k8s-dashboard).
If you need to implement firewall, a good start here: https://github.com/gregbkr/kubernetes-ansible-logging-monitoring/blob/master/ansible/roles/k8s/tasks/create_secgroup_rules.yml
Coreos
Please install with your preferered cloud provider, or on baremetal, basic latest coreos os as much as you need nodes.
We are using the kargo powerful project. It is made of many ansible scripts to build your cloud and k8s on top. To pilot you can use:
- Kargo-cli: which make even easier to provision servers (aws, cloustack) https://github.com/kubespray/kargo-cli
- Or fill 2 configuration files and run an ansible recipe
Kargo-cli is being rebuilded in go, so I will just use the underlying ansible recipe at the moment. Please clone in your repo k8s:
git clone https://github.com/kubernetes-incubator/kargo kargo && cd kargo
First fill the inventory file with your node info
cp inventory/inventory.example inventory/inventory.cfg
nano inventory/inventory.cfg <-- add your nodes ip, and set how many master,etcd,minion you want
Deploy k8s
nano inventory/group_vars/all.yml <-- and edit below v
bootstrap_os: coreos
kube_version: 1.4.7 <-- use 1.4.7 (stable and compatible for all components we install on top)
ansible_python_interpreter: "/opt/bin/python" <-- remove comment char #
# Users to create for basic auth in Kubernetes API via HTTP <-- edit passwords
kube_apiserver_port: 8443 <-- we use 8443 so 443 is free for deploying lb later on one node
cluster_name: cluster.local
Note: You can also modifiy nginx_kube_apiserver_port instead of kube_apiserver_port to something other than 443 to enable loadbalancers as well. This would leave the API server running on port 443 but the internal proxy would be on a different port.
Set ansible configuration with your key and inventory
nano ansible.cfg
private_key_file=~/.ssh/id_rsa_sbexx
remote_user=core
hostfile = ./inventory/inventory.cfg
[privilege_escalation]
become = yes
become_method = sudo
become_user = root
You can now add logging support (efk) out of the box when adding the following flag:
nano inventory/group_vars/k8s-cluster.yml
# Monitoring apps for k8s
efk_enabled: enable
Then deploy k8s with ansible:
ansible-playbook cluster.yml
Run few times untils no more errors.
- Error with ansible commands? Try the param in command line:
ansible-playbook -i inventory/inventory.cfg -e ansible_ssh_user=core -e ansible_ssh_private_key_file=/root/.ssh/id_rsa_sbexx -b --become-user=root cluster.yml
- Error with docker version? Update coreos to get latest docker version 12
ansible all -a 'docker version'
ansible node1 -a 'update_engine_client -update'
I got ansible.cfg and inventory.yml example in ./util
Kubectl is your admin local client to pilot the k8s cluster. One version of kubectl is already present on master, but it is better to have it locally, on your admin/bastion. Please use the same version as server. You will be able to talk and pilot k8s with this tool.
Get kubectl
curl -O https://storage.googleapis.com/kubernetes-release/release/v1.5.1/bin/linux/amd64/kubectl
chmod +x kubectl
mv kubectl /usr/local/bin/kubectl
Get the cert from master
mkdir kubectl
ssh -i ~/.ssh/id_rsa_sbexx core@master1_ip sudo cat /etc/kubernetes/ssl/admin-node1.pem > kubectl/admin-node1.pem
ssh -i ~/.ssh/id_rsa_sbexx core@master1_ip sudo cat /etc/kubernetes/ssl/admin-node1-key.pem > kubectl/admin-node1-key.pem
ssh -i ~/.ssh/id_rsa_sbexx core@master1_ip sudo cat /etc/kubernetes/ssl/ca.pem > kubectl/ca.pem
Configure kubectl
kubectl config set-cluster kargo --server=https://master1_ip:8443 --certificate-authority=kubectl/ca.pem
kubectl config set-credentials kadmin \
--certificate-authority=kubectl/ca.pem \
--client-key=kubectl/admin-node1-key.pem \
--client-certificate=kubectl/admin-node1.pem
kubectl config set-context kargo --cluster=kargo --user=kadmin
kubectl config use-context kargo
kubectl version
kubectl get node
kubectl get all --all-namespaces
Autocompletion
source <(kubectl completion bash)
kubectl get nod +[TAB]
If issues, see troubleshooting section.
Do you want to migration k8s, add new node? Please see the annexes.
Please note that you may already have efk deployed if you enabled the flag efk_enabled when you installed via kargo. If it is the case, you don't need to deploy anything, but just access the right service:
- Name: kibana-logging
- Namespace: kube-system
- Port: 5601
I didn't map yet this service to any lb (as it was added later than this doc). You can't access directly kibana UI because no host port (only internal) are declared in the service configuration.
To give access to the service you will have to modify the lb:
Nano service-loadbalancer-daemonset.yaml
args:
- --tcp-services=kibana-logging:5601
And deploy it (see section lb)
Same for traefik, you need to edit the name and namespace of the service:
nano traefik/logging-ingress.yaml
metadata:
name: kibana-logging
namespace: kube-system
kubectl apply -f logging <-- all deployment declarations and configurations are here
kubectl get all --all-namespaces <-- if you see elasticsearch container restarting, please restart all nodes one time only (setting vm.max_map_count, see troubleshooting section)
From here, you should be able to access our services from your laptop, as long as your cloud server ip are public:
- kibana: http://any_minion_node_ip:30601
- ES: http://any_minion_node_ip:30200
To enable that access, we had set Type=NodePort and nodePort:35601/39200 in kibana/elasticsearch-service.yaml, to make it easier to learn at this point. Because we want to control how and from where we should be accessing our public services, we will set in a later section a loadbalancer.
Check logs coming in kibana, you just need to refresh, select Time-field name : @timestamps + create
Load and view your first dashboard: management > Saved Object > Import > logging/dashboards/elk-v1.json
It seems like two schools are gently fighting for container monitoring:
- Heapster: this new player now comes as a kind of k8s addon (you can deploy it via a simple switch in some setup). It seems to be better integrated at the moment, and even more in the future with k8s component depending on it, but still young and few features
- Prometheus: it has been around for some times, lots of nice features (alerting, application metrics) and community resources available (see the public dashboards for example)
More on which one to choose: kubernetes-retired/heapster#645
Create monitoring containers
kubectl apply -f monitoring
kubectl get all --namespace=monitoring
Prometheus
Access the gui: http://any_minion_node_ip:30090
Go to status > target : you should see only some green. We got one false positive error scaping k8s-node with 2 ports 9102 and 80. As long as 9102 is good, we got the data. If you got some "context deadline exceeded" or "getsockopt connection refused", you will have to open firewall rule between the nodes. For exemple in security group k8s, you need to open 9100 and 10255.
Try a query: "node_memory_Active" > Execute > Graph --> you should see 2 lines representing both nodes.
Grafana
Login to the interface with login:admin | pass:admin) : http://any_minion_node_ip:30000 Load some dashboards: dashboard > home
Kubernetes pod resources
Prometheus stats
Load other public dashboards
Grafana GUI > Dashboards > Import
Already loaded:
- prometheus stats: https://grafana.net/dashboards/2
- kubernetes cluster : https://grafana.net/dashboards/162
Other good dashboards :
-
node exporter: https://grafana.net/dashboards/704 - https://grafana.net/dashboards/22
-
deployment: pod metrics: https://grafana.net/dashboards/747 - pod resources: https://grafana.net/dashboards/737
kubectl apply -f monitoring2
kubectl get all --namespace=monitoring2
Access services
- Grafana2: http://any_minion_node_ip:30002
You can load Cluster or Pods dashboards. When viewing Pods, type manually "namespace=monitoring2" to view stats for the related containers.
Dashboard addon let you see k8s services and containers via a nice GUI.
kubectl apply -f kubernetes-dashboard
kubectl get all --namespace=kube-system <-- carefull dashboard is running in namespace=kube-system
Access GUI: http://any_minion_node_ip:30999
I use the manifests here, with some little modifications. For some reasons, I have to force the image:docker.io/registry:2, otherwise docker can't connect to that deployed registry. We use registry without password nor tls to make it easier.
Docker daemon on nodes should already have the service network range as insecure-registry. So when you will make available registry service on k8s network, docker we will be able to use it.
To check daemon on one node: (you should see --insecure-registry=10.233.0.0/18 )
ps aux | grep docker
Deploy the registry:
kubectl apply -f registry
In order to target the registry from outside, or within k8s, please setup traefik (see lb section) and create a dns (ex:registry.satoshi.tech) pointing to your lb node.
Then add ingress config so traefik are aware of registry service:
kubectl apply -f traefik/kube-system-ingress.yaml
kubectl get svc --namespace=kube-system
Get the ip of the service, and check service access from one node
curl 10.233.5.205:5000/v2/_catalog
{"repositories":[]} <-- result
Or from the ubuntu image:
kubectl exec -it ubuntu --namespace=kube-system -- curl registry.kube-system:5000/v2/_catalog
kubectl exec -it ubuntu --namespace=kube-system -- curl registry.satoshi.tech/v2/_catalog
or from anywhere
curl registry.satoshi.tech/v2/_catalog
Add an image to private registry
docker pull busyboy
docker tag busybox registry.satoshi.tech/busybox
docker push registry.satoshi.tech/busybox
This setup is based on the great blog of lwolfs
First please edit gitlab config:
nano gitlab/gitlab/gitlab-deployment.yml
- GITLAB_ROOT_PASSWORD (if you want to change pwd)
- name: GITLAB_ROOT_EMAIL
- name: GITLAB_HOST
- name: GITLAB_SSH_HOST
Deploy gitlab
kubectl apply -f gitlab/gitlab
kubectl get all --namespace=gitlab <-- wait pods to be ready
Use traefic as a loadbalancer (see lb section), create a dns record pointing to your lb_node (ex: gitlab.satoshi.tech) and deploy the related ingress:
kubectl apply -f traefik/gitlab-ingress.yaml
You should be able to access gitlab with (login:root/rootpassword) http://gitlab.satoshi.tech or http://a_minion_ip:30088
Setup the cache server for docker runner builds
kubectl apply -f gitlab/minio
Create the runner cache folder
kubectl exec -it minio-1144410361-pr5ym --namespace=gitlab -- mkdir /export/runner
kubectl exec -it minio-1144410361-pr5ym --namespace=gitlab -- ls /export
Register a runner to gitlab:
kubectl run -it runner-registrator --image=gitlab/gitlab-runner:v1.5.2 --restart=Never -- register
Answer the questions:
Gitlab-ci coordinator URL: http://gitlab.gitlab/ci
Registration token: [Find it in: gitlab GUI > setting > Runners > Use the following registration token during setup...]
Description: gitlab-docker-runner
Tags: shared,specific
Executor: docker
Default docker image: python:3.5.1
Delete that temp container:
kubectl delete po/runner-registrator
Edit your final runner config and replace:
nano gitlab/gitlab-runner/gitlab-runner-docker-configmap.yml
- Token: [login gitlab > setting > Runners > clic on the pencil/notepad icon]
- AccessKey and SecretKey: [find the in the logs of minio container]
kubectl logs -f minio-1144410361-pr5ym --namespace=gitlab
Deploy runner
kubectl apply -f gitlab/gitlab-runner
Gitlab CI and CD
We will now test a full continuous integration (docker build + test of a simple flask app saying helloworld) and a simplified continuous deployment (redeploy the flask container in k8s, on staging and prod, which are the same k8s)
For CD, your runner will need access to k8s, so bring over to the ci folder the kubectl certificates (for production, please be careful when sharing certificates in repo)
cp -r kargo/kubectl gitlab/ci/.
cd gitlab/ci
Create a repo (k8s-ci) in gitlab GUI, and link the ci folder to that repo, such as mine:
git init
git remote add origin http://gitlab.satoshi.tech/root/k8s-ci.git
Then edit the gitlab-ci config
nano .gitlab-ci.yml
- your docker repo registry and name (I stayed on default dockerhub.com)
- your k8s master ip
And push:
git add -A
git commit -m 'test ci'
git push --set-upstream origin master
Go to gitlab to check pipeline and the status. If you have some error, try to hit the retry button. Or remove most part of gitlab-ci.yml and try again.
Check the app to get the "hello world" message:
curl a_node_ip:30555 or
kubectl exec -it ubuntu --namespace=kube-system -- curl flask.default:5000
At the end, you should be able to edit app.py to say "helloworld 3!", push the code, and see/curl the result later when the pipeline is finished!
If you are on aws or google cloud, these provider we automatically set a loadbalancer matching the *-ingress.yaml configuration. For all other cloud provider and baremetal, you will have to take care of that step. Luckyly, I will present you two types of loadlancer below ;-)
- service-loadbalancer (static haproxy) https://github.com/kubernetes/contrib/tree/master/service-loadbalancer
- traefik (dynamic proxy) https://github.com/containous/traefik
Because Kargo runs an nginx proxy for kubelet to access the api on all minions, port 443 is not available for any lbs to listen for public requests by default. You should change either the kube_apiserver_port or nginx_kube_apiserver_port options describe in configuring Kargo above.
Create the load-balancer to be able to connect your service from the internet. Give 1 or more nodes the loadbalancer role:
kubectl label node node_name role=loadbalancer
kubectl apply -f service-loadbalancer-daemonset.yaml
If you change the config, use "kubectl delete -f service-loadbalancer.yaml" to force a delete/create, then the discovery of the newly created service. Add/remove services? please edit service-loadbalancer.yaml
Access services
- kibana (logging): http://lb_node_ip:5601
- grafana (monitoring): http://lb_node_ip:3000 (admin/admin)
- prometheus (monitoring): http://lb_node_ip:3000
- grafana2 (monitoring2): http://lb_node_ip:3002
- kubernetes-dashboard: http://lb_node_ip:9999
Any new services, exposed by *-ingress.yaml, will be caught by traefik and made available without restart.
To experience the full power of traefik, please purchase a domain name (ex: satoshi.tech), and point that record to the node you choose to be the lb. This record will help create the automatic certificate via the acme standard.
- satoshi.tech --> lb_node_ip
Then for each services you will use, create a dns A record:
- kibana.satoshi.tech --> lb_node_ip
- grafana.satoshi.tech --> lb_node_ip
- prometheus.satoshi.tech --> lb_node_ip
- grafana2.satoshi.tech --> lb_node_ip
- kubernetes-dashboard.satoshi.tech --> lb_node_ip
- traefik-console.satoshi.tech --> lb_node_ip
Based on which name you use to access the lb_node, traefik will forward to the right k8s service.
Now you need to edit the configuration:
nano traefik/traefik-daemonset.yaml
[acme] <-- set your data for auto certification
Label a minion as "loadbalancer" (see previous section) and create the dynamic proxy to be able to connect your service from the internet.
kubectl apply -f traefik <-- if error, probably because you didn't deploy other namespaces, so can ignore
kubectl get all --all-namespaces <-- if traefik pod can't get created, probably issue with port 443 on loadbalancer --> see troubleshooting section
Access services If set in traefik, please use login/pass: test/test You can use http or https
- kibana (logging): http://kibana.satoshi.tech
- grafana (monitoring): http:grafana.satoshi.tech (admin/admin)
- prometheus (monitoring): http://prometheus.satoshi.tech
- grafana2 (monitoring2): http://grafana2.satoshi.tech
- kubernetes-dashboard: http://kubernetes-dashboard.satoshi.tech
- traefik-console: http://traefik-console.satoshi.tech or http://any_minion_node_ip:30080
These lb nodes are some kind of DMZ servers where you could balance later your DNS queries. For production environment, I would recommend that only DMZ services (service-loadbalancer, traefik, nginx, ...) could run in here, because these servers will apply some less restrictive firewall rules (ex: open 80, 433, 5601, 3000) than other minion k8s nodes. So I would create a second security group (sg): k8s-dmz with same rules as k8s, and rules between both zone, so k8s services can talk to k8s and k8s-dmz. Then open 80, 433, 5601, 3000 for k8s-dmz only. Like this, k8s sg still protect more sensitive containers from direct public access/scans.
The same applies for the master node. I would create a new sg for it: k8s-master, so only this group will permit access from kubectt (port 80, 443).
Then you should remove all NodePort from the services configuration, so no service will be available when scanning a classic minion. For that please comment the section "# type: NodePort" for all *-service.yaml
Add more loadbalancers, by adding more loadbalancers nodes. Because we use Daemonset type of job, all new nodes tagged with loadbalancer will spawn a loadbalancer container.
Use ansible to add a node
nano ansible/k8s.yml <-- edit: k8s_num_nodes: 3
ansible-playbook ansible/k8s.yml
kubectl get node <-- wait for it!
Label it as a loadbalancer node
kubectl label node your_new_lb_minion_node role=loadbalancer
Then just check the new containers getting created kubectl get all --all-namespaces
For service-loadbalancer, try to access new_lb_minion_ip:5601
For trafik, add a dns A-record kibana.satoshi.tech --> new_lb_minion_ip so we will balance dns resolution to the old and new lb_node. Test some ping, and access kibana.satoshi.tech few times...
In this setup, if you loose influxdb or elasticsearch containers, k8s will restart the container but you will loose the data. You got few options to make your data persistent:
- Emptydir
- Hostpath
- Nfs
- And many other solutions like: glusterfs, ceph, flocker, gcePersistentDisk, awsElasticBlockStore...
I will demonstrate the first 3 solutions. More info on volume types: https://kubernetes.io/docs/user-guide/volumes/
if you open influxdb deployment, you will notice that it is already configured for "emptyDir". So if the container crashes, and get restarted on the same node, your data will stay. But if you delete the container, or the reschedule happens on another node, you will loose the data.
cat monitoring2/influxdb-deployment.yaml
volumes:
- name: influxdb-storage
emptyDir: {}
We mount in the container a folder physically on the node where the container runs. This data is persistent, so you can kill the container and restart it to get the data, as long as you don't change nodes. Could be good then to label one node to always deploy influxdb on the node where the data live.
kubectl label node your_static_influx_node role=influxdb
nano monitoring2/influxdb-deployment.yaml
and use the tag below
nodeSelector:
role: influxdb
The storage config:
volumes:
- name: influxdb-storage
#emptyDir: {}
hostPath:
path: /srv/influxdb
Check the data are indeed on the host: ssh -i ~/.ssh/id_rsa_sbexx core@your_influx_node sudo ls /srv/influxdb
In order to not care about where containers run, nfs is able to offer persistent data over the network. Data will not reside on node, but on a separate nfs server.
nfs storage server You will have then to configure a storage server, it can be your ubuntu bastion to make tests easier:
apt-get install nfs-kernel-server
mkdir -p /export/influxdb /export/es
chmod -R 777 /export/
nano /etc/default/nfs-kernel-server <-- RPCSVCGSSDOPTS="no"
Configure rights (we leave it very open, but please restrict everything for prod)
nano /etc/exports
/export *(rw,sync,crossmnt,no_subtree_check)
/export/es *(rw,sync,crossmnt,no_subtree_check)
/export/influxdb *(rw,sync,crossmnt,no_subtree_check)
service nfs-kernel-server restart
Nfs client
Try it locally on bastion
apt-get install nfs-common
mkdir /mnt/nfs
mount -t nfs -o proto=tcp,port=2049 185.19.29.253:/export /mnt/nfs
ls -l /mnt/nfs
Test a mount on coreos client:
sudo mount --types nfs 185.19.29.253:/export /test
ls -l /test
sudo umount /test
k8s configuration
nano monitoring2/influxdb-deployment.yaml
volumes:
- name: influxdb-storage
#emptyDir: {}
#hostPath:
#path: /srv/influxdb
nfs:
server: 185.19.29.253
path: /export/influxdb
Deploy and check data are in nfs share:
ls -l /export/influx
You can now, stop the node where influx is running, wait k8s to reschedule your container to another node, and check again the data. Note: for elasticseach on nfs, I got that annoying "chown error" when trying to start the container. Need investigations.
kubectl pilot k8s via the api server already on a secured port 443 in https. We will now create a certicate autority, to issue a certificate for the api, and for your admin client, to get even higher level of authentification.
The lines below are based on the work of Kelsey and the cloudflare easy CA. https://github.com/kelseyhightower/docker-kubernetes-tls-guide https://github.com/cloudflare/cfssl
Install your own PKI infra tool: cfssl You need GO 1.6+ and the GOPATH set
apt install golang-go
export GOPATH=$HOME/work
export PATH=$PATH:/usr/local/go/bin
export PATH=$PATH:$GOPATH/bin
go get -u github.com/cloudflare/cfssl/cmd/cfssl
go get -u github.com/cloudflare/cfssl/cmd/...
cd tls
mkdir kubectl master minion
Declare your master Ip (or domain) to the server cert
nano kube-apiserver-server-csr.json <-- add your master_ip in hosts section
Initialize a CA
cfssl gencert -initca ca-csr.json | cfssljson -bare ca/ca
Create an api server cert
cfssl gencert \
-ca=ca/ca.pem \
-ca-key=ca/ca-key.pem \
-config=ca-config.json \
-profile=server \
kube-apiserver-server-csr.json | cfssljson -bare master/kube-apiserver-server
cp ca/ca.pem master
Create kubectl client cert
cfssl gencert \
-ca=ca/ca.pem \
-ca-key=ca/ca-key.pem \
-config=ca-config.json \
-profile=client \
kubernetes-admin-user.csr.json | cfssljson -bare kubectl/kubernetes-admin-user
kubectl config set-cluster secure --server=https://185.19.30.189:443 --certificate-authority=master/ca.pem --embed-certs=true
kubectl config set-credentials admin \
--client-key=kubectl/kubernetes-admin-user-key.pem \
--client-certificate=kubectl/kubernetes-admin-user.pem \
--embed-certs=true
kubectl config set-context secure --cluster=secure --user=admin
kubectl config use-context secure
Copy tls/master folder to node master
scp -r -i ~/.ssh/id_rsa_foobar master [email protected]:/home/core
Edit master
ssh -i ~/.ssh/id_rsa_foobar [email protected]
mkdir /etc/kubernetes
mv master/* /etc/kubernetes/.
sudo vim /etc/systemd/system/kube-apiserver.service
--client-ca-file=/etc/kubernetes/ca.pem \
--tls-cert-file=/etc/kubernetes/kube-api-server-server.pem \
--tls-private-key-file=/etc/kubernetes/kube-apiserver-server-key.pem \
sudo systemctl daemon-reload
sudo systemctl restart kube-apiserver.service
Note: this systemclt config will be erased at the next reboot. If you want to use cert, edit ansible master node template with the right config, then deploy a new master. Then generate certs...
Test
curl --cert kubectl/kubernetes-admin-user.pem --key kubectl/kubernetes-admin-user-key.pem --cacert master/ca.pem https://185.19.30.189/api -v
kubectl get node
Create kubelet client cert
cfssl gencert \
-ca=ca/ca.pem \
-ca-key=ca/ca-key.pem \
-config=ca-config.json \
-profile=client \
kubelet-client-csr.json | cfssljson -bare minion/kubelet/kubelet-client
Edit minion node
Copy and mv the file:
scp -r -i ~/.ssh/id_rsa_foobar minion [email protected]:/home/core
ssh -i ~/.ssh/id_rsa_foobar [email protected]
mkdir /etc/kubernetes
mv minion/* /etc/kubernetes/.
sudo vim /etc/systemd/system/kube-kubelet.service
--api-servers=https://185.19.30.189:443 \
--kubeconfig=/etc/kubernetes/kubelet/kubelet.kubeconfig \
sudo systemctl daemon-reload
sudo systemctl restart kube-apiserver.service
Check logs:
journalctl --since "10 minutes ago" -u kube-kubelet --no-pager
Try
kubectl get node
All services (kube-proxy, kube-client, kube-controller) can be set to use certificate. But this is a subject for another setup.
Probably your custom bash profile is interfering with the sourcing.
- Use kubectl completion bash > /etc/bash_completion.d/kubectl
- And make sure that lines are uncomment in
nano ~/.bashrc
if [ -f /etc/bash_completion ] && ! shopt -oq posix; then
. /etc/bash_completion
fi
Then logon and try again.
- fix with ansible:
List:
cd kargo
ansible all -a "ls /etc/sysctl.d"
Fix:
ansible all -m copy -a 'content=vm.max_map_count=262144 dest=/etc/sysctl.d/elasticsearch.conf'
Reboot all minions:
ansible [node2-6] -a "sudo reboot"
- Manually on all node:
ssh -i ~/.ssh/id_rsa_foobar [email protected]
sudo sysctl -w vm.max_map_count=262144
Make it persistent:
sudo vi /etc/sysctl.d/elasticsearch.conf
vm.max_map_count=262144
sudo sysctl --system
- First see if ubuntu will be in the same namespace as the service you want to check:
nano util/ubuntu.yaml
kubectl apply -f util/ubuntu.yaml
- Depending in which namespace ubuntu runs, you can check services with one of these commands:
kubectl exec ubuntu -- curl elasticseach:9200 <-- should returns ... "cluster_name" : "elasticsearch"...
kubectl exec ubuntu -- curl kibana:5601 <-- should returns ... var defaultRoute = '/app/kibana'...
kubectl exec ubuntu -- curl elasticsearch.logging.svc.cluster.local:9200 <-- ubuntu in default namespace
kubectl exec ubuntu --namespace=logging -- nslookup elasticsearch <-- ubuntu in logging namespace
kubectl exec ubuntu --namespace=logging -- nslookup kubernetes.default.svc.cluster.local <-- ubuntu in logging namespace
- Check port 9200 on the node running elasticsearch container: ssh -i ~/.ssh/id_rsa_foobar [email protected] netstat -plunt
- Uncomment type: NodePort and nodePort: 39200 if you want to access elasticsearch from any node_ip
- Check data in elasticsearch kubectl exec ubuntu -- curl es:9200/_search?q=* curl node_ip:39200/_search?q=* <-- if type: NodePort set in es.yaml
- check that there are file in node: ssh -i ~/.ssh/id_rsa_foobar [email protected] ls /var/log/containers
Can't connect to k8s-dashboard addon:
- Carefull, addon are in kube-system namespace! If stuck use type: NodePort and
- Find the node public port: kubectl describe service kubernetes-dashboard --namespace=kube-system
- Access it from nodes : http://185.19.30.220:31224/
kubectl exec ubuntu -- nslookup google.com
kubectl exec ubuntu -- nslookup kubernetes
kubectl exec ubuntu -- nslookup kubernetes.default
kubectl exec ubuntu -- nslookup kubernetes-dashboard.kube-system
kubectl describe po/elastcisearch
kubectl logs -f elasticsearch-ret5zg
Possibly firewall issues! You need to open firewall internal rules between all nodes port 9100 (endpoint) and 10255 (node)
kubectl exec ubuntu --namespace=monitoring2 -- curl -sl -I influxdb:8086/ping
Not very sure yet what the issue on lb_node, but try to start traefik on another minion:
kubectl label node 185.19.29.192 role=minion <-- give another node the minion role
nano traefik/traefik-deployment.yaml <-- and edit section spec > nodeSelector: > role: minion
Then delete and recreate traefik, should be all good.
apt install httpie
http --verify=no --auth test:test https://kibana.satoshi.tech -v
alias k='kubectl'
alias kk='kubectl get all'
alias wk='watch kubectl get all'
alias ka='kubectl get all --all-namespaces'
alias kc='kubectl create -f'
alias kdel='kubectl delete -f'
alias kcdel='kubectl delete configmap'
alias kd='kubectl describe'
alias kl='kubectl logs'
Edit kargo/inventory/inventory.cfg and run again the deploy
cd kargo
nano inventory/group_vars/all.yml <-- edit kube_version: 1.x.x
Run the install again:
ansible-playbook cluster.yml
You need to consider these steps:
- backup etcd
- Export namespaces and services
- Backup your persistant data (not covered here, it is a classic database dump or flat file backup. It is not specific to k8s)
Etcd
Please Backup etcd in case something fails during a migration. But it is a bad idea to backup and restore etcd on another environment because all sorts of things (endpoints, node names, IP, etc) are different between clusters. So better export and import namespaces and services only.
Dump Namespace and services states
--> Careful: simple pod are not dump in these lines, you need to have: deploy, rc, or daemonset, svc. So need to transfort all simple pods to deployment if needed.
mkdir ./dump
Export all namespaces (not kube-system):
kubectl get --export -o=json ns | \
jq '.items[] |
select(.metadata.name!="kube-system") |
select(.metadata.name!="default") |
del(.status,
.metadata.uid,
.metadata.selfLink,
.metadata.resourceVersion,
.metadata.creationTimestamp,
.metadata.generation
)' > ./dump/ns.json
Export all services, controllers (rc,ds,replicaset,deploy), secrets and daemonsets Simple pod and job are not migrated.
for ns in $(jq -r '.metadata.name' < ./dump/ns.json);do
echo "Namespace: $ns"
kubectl --namespace="${ns}" get --export -o=json svc,deploy,rc,secrets,configmap,ds | \
jq '.items[] |
select(.type!="kubernetes.io/service-account-token") |
del(
.spec.clusterIP,
.metadata.uid,
.metadata.selfLink,
.metadata.resourceVersion,
.metadata.creationTimestamp,
.metadata.generation,
.status,
.spec.template.spec.securityContext,
.spec.template.spec.dnsPolicy,
.spec.template.spec.terminationGracePeriodSeconds,
.spec.template.spec.restartPolicy
)' >> "./dump/cluster-dump.json"
done
Backup etcd
To complete...
Restore namespaces and services on a new fresh k8s
Namespaces:
kubectl create -f dump/ns.json
Resources state:
kubectl create -f dump/cluster-dump.json
You will have to reimport db dump or flat data on host folder if you had persistent data.
Delete the corresponding namespace, all related containers/services will be destroyed.
kubectl delete namespace monitoring
kubectl delete namespace logging
Object don't want to be delete (in status termination)?
kubectl delete namespace logging --grace-period=0 --force
kubectl delete po/node-directory-size-metrics-flbdp --namespace=monitoring --grace-period=0 --force
- Use firewalls security group: k8s, k8s-dmz, k8s-master, to be ready for production
- Use persistent data for Elasticsearch and prometheus
- Fix prometheus k8s_pod scraping both port 80 and 9102...
- Backup etcd error follow up