kubernetes
Kubernetes is an open‑source platform that automates the deployment, scaling, and management of containerized applications. It acts as an orchestrator, ensuring your containers run reliably across clusters of machines, handling networking, storage, and updates without downtime.
- Namespaces
- Pods
- Persistent volumes
- kubectl
- Secrets
- nodes
- taints
- statefulset
- Deployment
- Daemonset
- certs
- service accounts
- Services DNS Name
- core-dns
- Custom Resource Definitions
- k3s
- host cli
- cert-manager
Namespaces
Create namespace
Using cli
kubectl create namespace tests
Or using yaml
apiVersion: v1
kind: Namespace
metadata:
name: namespace-name
labels:
name: namespace-name
namespace stuck on delete
nuke finalizers:
NAMESPACE="NAMESPACE_NAME"
kubectl get namespace ${NAMESPACE} -o json \
| jq '.spec.finalizers = []' \
| kubectl replace --raw /api/v1/namespaces/${NAMESPACE}/finalize -f -
Pods
Create an pod
Create an ubuntu pod for tty access example:
apiVersion: v1
kind: Pod
metadata:
name: ubuntu-test
namespace: tests
spec:
#### deploy to an specific node
nodeName: chimera-gluten
containers:
- name: ubuntu-test
image: ubuntu
# In Kubernetes, the pod stays alive as long as PID 1 is running.
# so with this options:
# - It does not exit automatically.
# - It waits for user input forever.
# - It behaves like an interactive shell session.
command: ["sh"] # PID 1 = interactive shell
stdin: true # keep STDIN open
tty: true # allocate a terminal
volumeMounts:
- name: data
mountPath: /data
volumes:
- name: data
persistentVolumeClaim:
claimName: data-pvc
Create an ubuntu pod with and execute command:
apiVersion: v1
kind: Pod
metadata:
name: ubuntu-ls-test
namespace: tests
spec:
restartPolicy: Never # executes only one time, no retry on error
#
# nodeName: "serverExample01" # restrict to an specific node
#
containers:
- name: ubuntu-seaweedfs-test
image: ubuntu
command: ["bash", "-c"]
args:
- "ls -lah /data"
volumeMounts:
- name: data
mountPath: /data
volumes:
- name: data
persistentVolumeClaim:
claimName: data-pvc
Get Pod
Get pod name by label ap:
POD_NAME=$(kubectl get pod -l app=myAppName -n appNamespace -o jsonpath='{.items[0].metadata.name}')
echo $POD_NAME
Get pod name by text on description, for example find by ip:
kubectl get pods -A -o wide | grep 10.0.3.224
delete Pod
kubectl delete pod -n appNamespace -l app=myAppName
OOMKilled
list all OOMKilled pods:
kubectl get events --all-namespaces | grep -i "OOMKilled"
kubectl get pods --all-namespaces \
-o jsonpath='{range .items[*]}{.metadata.namespace}{" "}{.metadata.name}{" "}{.status.containerStatuses[*].lastState.terminated.reason}{"\n"}{end}' \
| grep OOMKilled
Attach to an pod
Attach connects your terminal to the main process of the container (PID 1), or another running process if specified.
Use it when you want to:
- see the raw output of the main process
- want to send input directly to the main process
kubectl attach -it myPodName -n appNamespace
POD_NAME=$(kubectl get pod -l app=myAppName -n appNamespace -o jsonpath='{.items[0].metadata.name}')
kubectl attach -it ${POD_NAME} -n appNamespace
Run command on pod
# sh
MY_APP_NAME=???
NAMESPACE=???
POD_NAME=$(kubectl get pod -l app=$MY_APP_NAME -n $NAMESPACE -o jsonpath='{.items[0].metadata.name}')
kubectl exec -n $NAMESPACE -it ${POD_NAME} -- sh
# bash
POD_NAME=$(kubectl get pod -l app=myAppName -n appNamespace -o jsonpath='{.items[0].metadata.name}')
kubectl exec -it ${POD_NAME} -- bash
# execute an command like ls
POD_NAME=$(kubectl get pod -l app=myAppName -n appNamespace -o jsonpath='{.items[0].metadata.name}')
kubectl exec -it ${POD_NAME} -- ls /
Persistent volumes
find persistent volume used pvc
NAMESPACE=???
PVC_NAME=???
PV_NAME=$(kubectl get pvc $PVC_NAME -n $NAMESPACE -o jsonpath='{.spec.volumeName}')
echo "${PV_NAME}"
Patch pv - change to retain policy
PV_NAME="???"
kubectl patch pv $PV_NAME \
-p '{"spec":{"persistentVolumeReclaimPolicy":"Retain"}}'
Patch pv - remove finalizers
PV_NAME="???"
kubectl patch pv $PV_NAME \
-p '{"metadata":{"finalizers": null}}'
kubectl
kubectl is the command‑line tool used to interact with Kubernetes clusters. Think of it as the “remote control” for Kubernetes: it lets you deploy applications, inspect resources, and manage cluster operations directly from your terminal.
Helper pods
network testing
kubectl run -i --tty dns-test --namespace tests --image=busybox --restart=Never --
kubectl delete pod dns-test --namespace tests || 0
Example using yaml and hostNetwork:
- Create Pod
apiVersion: v1
kind: Pod
metadata:
name: dns-test
namespace: tests
spec:
hostNetwork: true
containers:
- name: dns-test
image: busybox
command: ["sh"]
stdin: true
tty: true
- Attach to Pod
kubectl attach -it dns-test -n tests
- Execute command inside pod.
nslookup google.com
- Delete pod
kubectl delete pod dns-test --namespace tests
Resources
List all resources:
kubectl get all -n kube-system | grep traefik
List service accounts:
kubectl get serviceAccount --all-namespaces
Services Accounts
List all:
kubectl get serviceAccount --all-namespaces
Get Service Account Token:
kubectl get secret <secret_name> -o jsonpath='{.data.token}' | base64 -d
kubectl get secret <secret_name> -o jsonpath='{.data.token}' | base64 -d > ./service-account-secret-base64
Get Cluster certificate Base64:
kubectl config view --raw -o jsonpath='{.clusters[0].cluster.certificate-authority-data}'
Secrets
Manifest - Opaque / Base64
apiVersion: v1
kind: Secret
metadata:
name: secret-name
namespace: namespace-name
type: Opaque
data:
SERVER_ADDRESS: MTI3LjAuMC4x # 127.0.0.1 BASE64
Manifest - StringData
apiVersion: v1
kind: Secret
metadata:
name: secret-name
namespace: namespace-name
stringData:
SERVER_ADDRESS: 127.0.0.1
Inline with heredoc and environment variables
SERVER_ADDRESS=127.0.0.1
kubectl apply -f - <<EOF
apiVersion: v1
kind: Secret
metadata:
name: secret-name
namespace: namespace-name
stringData:
SERVER_ADDRESS: ${SERVER_ADDRESS}
EOF
substr
yaml secret template:
# ./secret.yaml
apiVersion: v1
kind: Secret
metadata:
name: secret-name
namespace: namespace-name
stringData:
SERVER_ADDRESS: ${SERVER_ADDRESS}
export SERVER_ADDRESS="127.0.1"
envsubst < ./secret.yaml | kubectl apply -f -
env file and envsubst:
#---
# ./.env
# content:
# SERVER_ADDRESS=127.0.0.1
#---
set -a
source ./.env
set +a
envsubst < ./secret.yaml | kubectl apply -f -
nodes
Get nodes info:
kubectl get nodes -o wide
remove annotation:
kubectl annotate node <NODE_NAME> <ANNOTATION_NAME>-
taints
get node taints:
kubectl describe node <NODE_NAME> | grep taint
add taint
NODE="????"
TAINT="infra.mydomain.com/dedicated=role:NoSchedule"
kubectl taint nodes ${NODE} ${TAINT}
remove taint
NODE="chimera-deepstate"
TAINT="infra.mydomain.com/dedicated=role:NoSchedule"
kubectl taint nodes ${NODE} ${TAINT}-
control plane - NoSchedule
NODE="????"
kubectl taint nodes ${NODE} node-role.kubernetes.io/control-plane=:NoSchedule
Official *.kubernetes.io taints
Node condition taints (automatic):
- node.kubernetes.io/not-ready - Node is NotReady
- node.kubernetes.io/unreachable - Node unreachable
- node.kubernetes.io/out-of-disk - Node out of disk
- node.kubernetes.io/memory-pressure - Memory pressure
- node.kubernetes.io/disk-pressure - Disk pressure
- node.kubernetes.io/network-unavailable- Network unavailable
- node.kubernetes.io/unschedulable - Node was cordoned
- node.kubernetes.io/ready - Node is ready (rarely used as taint)
Eviction taints (used by kubelet):
- node.kubernetes.io/pid-pressure - Too many processes
- node.kubernetes.io/unschedulable - Node cordoned
- node.kubernetes.io/taint-effect-no-execute - NoExecute taints
Role taints (official, safe to use):
- node-role.kubernetes.io/control-plane - Control-plane node
- node-role.kubernetes.io/master - Legacy control-plane
Everything else in *.kubernetes.io is reserved and should not be used.
cordon
NODE="????"
kubectl cordon ${NODE}
Marks a node as unschedulable.
- No new pods will be scheduled on that node
- Existing pods are not affected
- Even after a reboot, existing pods return to the same node
- Used for temporary maintenance (updates, debugging, draining prep)
- Kubernetes automatically adds the taint:
node.kubernetes.io/unschedulable:NoSchedule
NODE="???"
kubectl uncordon ${NODE}
Reverses the cordon.
- The node becomes schedulable again
- New pods can land on it
- Existing pods remain untouched
statefulset
statefulset - Set Replicas
kubectl patch statefulset <statefulset-name> \
-p '{"spec":{"replicas":0}}'
Deployment
Deployment - Set Replicas
DEPLOYMENT_NAME="???"
# example with 0 to "disable" deployment
kubectl scale deployment ${DEPLOYMENT_NAME} --replicas=0
kubectl patch deployment <deployment-name> \
-p '{"spec":{"replicas":0}}'
Deployment - rollout restart
NAME="???"
NAMESPACE="???"
kubectl rollout restart deployment $NAME -n $NAMESPACE
Daemonset
Daemonset - rollout restart
NAME="???"
NAMESPACE="???"
kubectl rollout restart daemonset $NAME -n $NAMESPACE
certs
list all certs
kubectl get cert -n default
get cert end date
kubectl get secret certificate-name-tls -o "jsonpath={.data['tls\.crt']}" | base64 --decode | openssl x509 -enddate -noout
service accounts
Get service account token:
kubectl get secret continuous-deploy -o jsonpath='{.data.token}' | base64 -d
Services DNS Name
Kubernetes automatically provides DNS names for Services and Pods, and CoreDNS serves these records. This allows workloads to communicate using stable, predictable names instead of changing IP addresses.
<service-name>.<namespace>.svc.<cluster-domain>
<SERVICE_NAME>.<NAMESPACE>.svc.cluster.local
core-dns
Overrides
apiVersion: v1
kind: ConfigMap
metadata:
name: coredns-custom
namespace: kube-system
data:
empty.server: |
# empty file, to remove warning: No files matching import glob pattern: /etc/coredns/custom/*.server
split_dns.override: |
rewrite name exact requested.domain.tldr target.domain.tldr
# wild card. works like *.requested.domain.tldr
rewrite name regex (.*)\.requested\.domain\.tldr target.domain.tldr
Remove warning from logs
[WARNING] No files matching import glob pattern: /etc/coredns/custom/*.server
[WARNING] No files matching import glob pattern: /etc/coredns/custom/*.override
- Apply on kubernetes
apiVersion: v1
kind: ConfigMap
metadata:
name: coredns-custom
namespace: kube-system
data:
log.override: |
#
stub.server: |
#
Custom Resource Definitions
-
Definition: A Custom Resource Definition (CRD) is an extension of the Kubernetes API.
-
Purpose: They allow you to define new resource kinds (e.g., Database, Backup, FooBar) that behave like native Kubernetes objects.
-
Analogy: By default, Kubernetes understands objects like Pods and Services. With CRDs, you can add your own object types and manage them with kubectl just like built‑in resources
List traefik CRDS:
kubectl get crds | grep traefik
k3s
K3s is a lightweight, certified Kubernetes distribution designed to run in resource‑constrained environments such as edge devices, IoT appliances, and small servers. It simplifies installation and operation by packaging Kubernetes into a single small binary, while still being fully compliant with the Kubernetes API.
🌐 What K3s Is
- Definition: K3s is a simplified Kubernetes distribution created by Rancher Labs (now part of SUSE) and maintained under the CNCF.
- Purpose: It’s built for environments where full Kubernetes (K8s) is too heavy — like Raspberry Pis, edge servers, or CI pipelines.
- Size: The entire distribution is packaged into a binary under ~70MB.
Install / Setup
Default master installation:
curl -sfL https://get.k3s.io | sh -
Install specific version and disable:
- flannel (alternative example calico, cilium)
- servicelb (alternative example metallb, cilium)
- traefik (then install using helm chart or custom manifests for better control)
curl -sfL https://get.k3s.io | INSTALL_K3S_VERSION=v1.33.3+k3s1 INSTALL_K3S_EXEC="--flannel-backend=none \
--disable-network-policy \
--disable=servicelb \
--disable=traefik" \
sh -
prune old images
prune old images, execute on kubernetes host node
crictl rmi --prune
check system logs
sudo journalctl -u k3s-agent --since "1h ago" --reverse --no-pager | more
sudo journalctl -u k3s-agent --since "1 hour ago" --reverse | grep -i "Starting k3s-agent.service"
sudo journalctl -u k3s --reverse | grep -i "Starting k3s.service"
Example: test-services.services.svc.cluster.local.
Workarounds & Fixes
Failed unmounting var-lib-rancher.mount on reboot
When running K3s with /var/lib/rancher on a separate disk.
K3s and containerd often leave behind mount namespaces and overlay layers that block clean unmounting during shutdown. This causes slow reboots and errors like:
Failed unmounting var-lib-rancher.mount
-
Create the cleanup service
nano /etc/systemd/system/rancher-cleanup.servicePaste:
[Unit] DefaultDependencies=no Before=shutdown.target [Service] Type=oneshot ExecStart=/bin/sh -c '/bin/umount -l /var/lib/rancher || true' [Install] WantedBy=shutdown.targetWhy this works
- DefaultDependencies=no ensures the service runs early.
- Before=umount.target guarantees it executes before systemd tries to unmount anything.
- umount -l detaches the filesystem immediately, even if containerd still holds namespaces.
- || true prevents harmless “not mounted” errors from blocking shutdown.
-
Reload systemd
systemctl daemon-reload -
Enable the cleanup service
systemctl enable rancher-cleanup.service -
Reboot to test:
reboot
klipper-lb
Klipper‑LB is the tiny, built‑in load balancer that k3s uses to give each agent a local, stable endpoint for talking to the Kubernetes API server. Instead of exposing a full external load balancer, k3s runs this lightweight component on 127.0.0.1:6444, and it simply forwards traffic from the agent to the control‑plane node (or rotates between multiple servers in an HA setup). It exists to make k3s simpler to deploy—no extra software, and no external LB. startup even though the cluster continues working normally.
troubleshooting
log: warning - Error starting load balancer: listen tcp 127.0.0.1:6444: bind: address already in use.
rm -rf /var/lib/rancher/k3s/agent/etc/klipper-lb
systemctl restart k3s-agent
Containerd state
This procedure simulates a fresh node joining the cluster. It deletes all containerd runtime state but does not remove the node from the cluster.
-
Stop k3s (server or agent)
-
Delete containerd state
sudo rm -rf /var/lib/rancher/k3s/agent/containerd sudo rm -rf /var/lib/containerd -
Start k3s
What this does:
- Removes all images, snapshots, and container metadata
- Forces k3s to repull every image through CRI → mirrors → Harbor
- Simulates a fresh node rebuild
- Node identity, certificates, and cluster membership remain intact
- Workloads are rescheduled normally
- This is the correct method to validate offline rebuild capability and ensure Harbor mirrors are complete.
If all container images are provided locally (Example: through Harbor proxy caches), then the entire containerd image store becomes fully ephemeral. This means:
- /var/lib/rancher/k3s/agent/containerd
- /var/lib/containerd
contain no unique or irreplaceable data. so it can be ignored on backups.
host cli
host cli - check port usage
# example: port 32329
ss -ltnp | grep 32329
kill all connections
ss -K dst SERVER_IP:6443
cert-manager
clear stale ACME challenges and orders created before DNS fixes.
These objects are temporary and safe to delete — they do NOT remove or affect existing valid certificates.
After cleanup, cert-manager automatically recreates fresh challenges using the corrected DNS configuration.
kubectl delete challenge -A --all
kubectl delete order -A --all
Removing cert‑manager Metadata from Secrets
When migrating clusters or taking manual control of TLS certificates, you may need to fully detach a Secret from cert‑manager. Cert‑manager uses labels and annotations to track ownership, ACME challenge state, and renewal configuration. If these remain, cert‑manager may attempt to “adopt” or overwrite the Secret.
This guide shows how to safely remove all cert‑manager metadata so the Secret becomes unmanaged.
View Secrets Managed by cert‑manager:
kubectl get secrets -A --show-labels | grep cert-manager
This lists Secrets that contain cert‑manager labels or annotations.
Remove cert‑manager Labels and Annotations:
SECRET_NAME=chimera-limbosolutions-com-tls
NAMESPACE=ignition-provisioner
# Remove cert-manager annotations
kubectl annotate secret ${SECRET_NAME} -n ${NAMESPACE} \
cert-manager.io/alt-names- \
cert-manager.io/common-name- \
cert-manager.io/ip-sans- \
cert-manager.io/issuer-group- \
cert-manager.io/issuer-kind- \
cert-manager.io/issuer-name- \
cert-manager.io/uri-sans- \
cert-manager.io/certificate-name- \
acme.cert-manager.io/http-domain- \
acme.cert-manager.io/dns-domain- \
kubectl.kubernetes.io/last-applied-configuration-
# Remove cert-manager controller labels
kubectl label secret ${SECRET_NAME} -n ${NAMESPACE} \
controller.cert-manager.io/fao- \
controller.cert-manager.io/owner-kind- \
controller.cert-manager.io/owner-name- \
controller.cert-manager.io/owner-group-
After this cleanup, the Secret is fully detached from cert‑manager and will no longer be renewed, validated, or overwritten.
Verify Cleanup:
kubectl get secrets -A --show-labels | grep cert-manager
If the Secret no longer appears, it is now unmanaged.