Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: nginx
spec:
  nodeName: foo-node # schedule pod to specific node
  containers:
  - name: nginx
    image: nginx
    imagePullPolicy: IfNotPresent

Response: This yaml code Assign Pods to Nodes | Use the configuration file to create a pod that will get scheduled on foo-node only.


Prompt:
Complete this shell code:

NAME      STATUS    ROLES    AGE     VERSION        LABELS
worker0   Ready     <none>   1d      v1.13.0        ...,kubernetes.io/hostname=worker0

Response:
worker1   Ready     <none>   1d      v1.13.0        ...,kubernetes.io/hostname=worker1
worker2   Ready     <none>   1d      v1.13.0        ...,kubernetes.io/hostname=worker2

Context: Assign Pods to Nodes | Choose one of your nodes, and add a label to it:


Prompt:
Explain this shell code:

NAME      STATUS    ROLES    AGE     VERSION        LABELS
worker0   Ready     <none>   1d      v1.13.0        ...,kubernetes.io/hostname=worker0
worker1   Ready     <none>   1d      v1.13.0        ...,kubernetes.io/hostname=worker1
worker2   Ready     <none>   1d      v1.13.0        ...,kubernetes.io/hostname=worker2

Response: This shell code Assign Pods to Nodes | Choose one of your nodes, and add a label to it:


Prompt:
Complete this shell code:

NAME      STATUS    ROLES    AGE     VERSION        LABELS
worker0   Ready     <none>   1d      v1.13.0        ...,disktype=ssd,kubernetes.io/hostname=worker0

Response:
worker1   Ready     <none>   1d      v1.13.0        ...,kubernetes.io/hostname=worker1
worker2   Ready     <none>   1d      v1.13.0        ...,kubernetes.io/hostname=worker2

Context: Assign Pods to Nodes | In the preceding output, you can see that the worker0 node has a disktype=ssd label.


Prompt:
Explain this shell code:

NAME      STATUS    ROLES    AGE     VERSION        LABELS
worker0   Ready     <none>   1d      v1.13.0        ...,disktype=ssd,kubernetes.io/hostname=worker0
worker1   Ready     <none>   1d      v1.13.0        ...,kubernetes.io/hostname=worker1
worker2   Ready     <none>   1d      v1.13.0        ...,kubernetes.io/hostname=worker2

Response: This shell code Assign Pods to Nodes | In the preceding output, you can see that the worker0 node has a disktype=ssd label.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: nginx
  labels:
    env: test

Response:
spec:
  containers:
  - name: nginx
    image: nginx
    imagePullPolicy: IfNotPresent
  nodeSelector:
    disktype: ssd

Context: Assign Pods to Nodes | Use the configuration file to create a pod that will get scheduled on your chosen node:


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: nginx
  labels:
    env: test
spec:
  containers:
  - name: nginx
    image: nginx
    imagePullPolicy: IfNotPresent
  nodeSelector:
    disktype: ssd

Response: This yaml code Assign Pods to Nodes | Use the configuration file to create a pod that will get scheduled on your chosen node:


Prompt:
Explain this shell code:

kubectl apply -f https://k8s.io/examples/pods/pod-nginx.yaml

Response: This shell code Assign Pods to Nodes | Verify that the pod is running on your chosen node:

Context: Assign Pods to Nodes | Verify that the pod is running on your chosen node:


Prompt:
Explain this shell code:

NAME     READY     STATUS    RESTARTS   AGE    IP           NODE
nginx    1/1       Running   0          13s    10.200.0.4   worker0

Response: This shell code Assign Pods to Nodes | You can also schedule a pod to one specific node via setting nodeName.

Context: Assign Pods to Nodes | You can also schedule a pod to one specific node via setting nodeName.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: nginx
spec:

Response:
  nodeName: foo-node # schedule pod to specific node
  containers:
  - name: nginx
    image: nginx
    imagePullPolicy: IfNotPresent

Context: Assign Pods to Nodes | Use the configuration file to create a pod that will get scheduled on foo-node only.


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: nginx
spec:
  nodeName: foo-node # schedule pod to specific node
  containers:
  - name: nginx
    image: nginx
    imagePullPolicy: IfNotPresent

Response: This yaml code Assign Pods to Nodes | Use the configuration file to create a pod that will get scheduled on foo-node only.


Prompt:
Complete this text code:

NAME      STATUS    ROLES    AGE     VERSION        LABELS
worker0   Ready     <none>   1d      v1.13.0        ...,kubernetes.io/hostname=worker0

Response:
worker1   Ready     <none>   1d      v1.13.0        ...,kubernetes.io/hostname=worker1
worker2   Ready     <none>   1d      v1.13.0        ...,kubernetes.io/hostname=worker2


Prompt:
Explain this text code:

NAME      STATUS    ROLES    AGE     VERSION        LABELS
worker0   Ready     <none>   1d      v1.13.0        ...,kubernetes.io/hostname=worker0
worker1   Ready     <none>   1d      v1.13.0        ...,kubernetes.io/hostname=worker1
worker2   Ready     <none>   1d      v1.13.0        ...,kubernetes.io/hostname=worker2

Response: This text code Assign Pods to Nodes | Choose one of your nodes, and add a label to it:


Prompt:
Complete this text code:

NAME      STATUS    ROLES    AGE     VERSION        LABELS
worker0   Ready     <none>   1d      v1.13.0        ...,disktype=ssd,kubernetes.io/hostname=worker0

Response:
worker1   Ready     <none>   1d      v1.13.0        ...,kubernetes.io/hostname=worker1
worker2   Ready     <none>   1d      v1.13.0        ...,kubernetes.io/hostname=worker2


Prompt:
Explain this text code:

NAME      STATUS    ROLES    AGE     VERSION        LABELS
worker0   Ready     <none>   1d      v1.13.0        ...,disktype=ssd,kubernetes.io/hostname=worker0
worker1   Ready     <none>   1d      v1.13.0        ...,kubernetes.io/hostname=worker1
worker2   Ready     <none>   1d      v1.13.0        ...,kubernetes.io/hostname=worker2

Response: This text code Assign Pods to Nodes | In the preceding output, you can see that the worker0 node has a disktype=ssd label.


Prompt:
Complete this yaml code:

pods/pod-nginx.yaml
apiVersion: v1
kind: Pod
metadata:
  name: nginx
  labels:
    env: test

Response:
spec:
  containers:
  - name: nginx
    image: nginx
    imagePullPolicy: IfNotPresent
  nodeSelector:
    disktype: ssd


Prompt:
Explain this yaml code:

pods/pod-nginx.yaml
apiVersion: v1
kind: Pod
metadata:
  name: nginx
  labels:
    env: test
spec:
  containers:
  - name: nginx
    image: nginx
    imagePullPolicy: IfNotPresent
  nodeSelector:
    disktype: ssd

Response: This yaml code Assign Pods to Nodes | Use the configuration file to create a pod that will get scheduled on your chosen node:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: nginx
  labels:
    env: test

Response:
spec:
  containers:
  - name: nginx
    image: nginx
    imagePullPolicy: IfNotPresent
  nodeSelector:
    disktype: ssd


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: nginx
  labels:
    env: test
spec:
  containers:
  - name: nginx
    image: nginx
    imagePullPolicy: IfNotPresent
  nodeSelector:
    disktype: ssd

Response: This yaml code Assign Pods to Nodes | Use the configuration file to create a pod that will get scheduled on your chosen node:


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/pods/pod-nginx.yaml

Response: This bash code Assign Pods to Nodes | Verify that the pod is running on your chosen node:


Prompt:
Explain this text code:

NAME     READY     STATUS    RESTARTS   AGE    IP           NODE
nginx    1/1       Running   0          13s    10.200.0.4   worker0

Response: This text code Assign Pods to Nodes | You can also schedule a pod to one specific node via setting nodeName.


Prompt:
Complete this yaml code:

pods/pod-nginx-specific-node.yaml
apiVersion: v1
kind: Pod
metadata:
  name: nginx

Response:
spec:
  nodeName: foo-node # schedule pod to specific node
  containers:
  - name: nginx
    image: nginx
    imagePullPolicy: IfNotPresent


Prompt:
Explain this yaml code:

pods/pod-nginx-specific-node.yaml
apiVersion: v1
kind: Pod
metadata:
  name: nginx
spec:
  nodeName: foo-node # schedule pod to specific node
  containers:
  - name: nginx
    image: nginx
    imagePullPolicy: IfNotPresent

Response: This yaml code Assign Pods to Nodes | Use the configuration file to create a pod that will get scheduled on foo-node only.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: nginx
spec:

Response:
  nodeName: foo-node # schedule pod to specific node
  containers:
  - name: nginx
    image: nginx
    imagePullPolicy: IfNotPresent


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: nginx
spec:
  nodeName: foo-node # schedule pod to specific node
  containers:
  - name: nginx
    image: nginx
    imagePullPolicy: IfNotPresent

Response: This yaml code Assign Pods to Nodes | Use the configuration file to create a pod that will get scheduled on foo-node only.


Prompt:
Complete this text code:

tolerations:
- key: "key1"

Response:
  operator: "Equal"
  value: "value1"
  effect: "NoSchedule"

Context: Taints and Tolerations | The default Kubernetes scheduler takes taints and tolerations into account when selecting a node to run a particular Pod. However, if you manually specify the .spec.nodeName for a Pod, that action byp


Prompt:
Explain this text code:

tolerations:
- key: "key1"
  operator: "Equal"
  value: "value1"
  effect: "NoSchedule"

Response: This text code Taints and Tolerations | The default Kubernetes scheduler takes taints and tolerations into account when selecting a node to run a particular Pod. However, if you manually specify the .spec.nodeName for a Pod, that action byp


Prompt:
Complete this text code:

tolerations:
- key: "key1"

Response:
  operator: "Exists"
  effect: "NoSchedule"


Prompt:
Explain this text code:

tolerations:
- key: "key1"
  operator: "Exists"
  effect: "NoSchedule"

Response: This text code Taints and Tolerations | The default Kubernetes scheduler takes taints and tolerations into account when selecting a node to run a particular Pod. However, if you manually specify the .spec.nodeName for a Pod, that action byp


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: nginx
  labels:
    env: test
spec:

Response:
  containers:
  - name: nginx
    image: nginx
    imagePullPolicy: IfNotPresent
  tolerations:
  - key: "example-key"
    operator: "Exists"
    effect: "NoSchedule"

Context: Taints and Tolerations | The default value for operator is Equal.


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: nginx
  labels:
    env: test
spec:
  containers:
  - name: nginx
    image: nginx
    imagePullPolicy: IfNotPresent
  tolerations:
  - key: "example-key"
    operator: "Exists"
    effect: "NoSchedule"

Response: This yaml code Taints and Tolerations | The default value for operator is Equal.


Prompt:
Explain this bash code:

kubectl taint nodes node1 key1=value1:NoSchedule
kubectl taint nodes node1 key1=value1:NoExecute
kubectl taint nodes node1 key2=value2:NoSchedule

Response: This bash code Taints and Tolerations | And a pod has two tolerations:

Context: Taints and Tolerations | And a pod has two tolerations:


Prompt:
Complete this text code:

tolerations:
- key: "key1"
  operator: "Equal"
  value: "value1"

Response:
  effect: "NoSchedule"
- key: "key1"
  operator: "Equal"
  value: "value1"
  effect: "NoExecute"

Context: Taints and Tolerations | In this case, the pod will not be able to schedule onto the node, because there is no toleration matching the third taint. But it will be able to continue running if it is already running on the node


Prompt:
Explain this text code:

tolerations:
- key: "key1"
  operator: "Equal"
  value: "value1"
  effect: "NoSchedule"
- key: "key1"
  operator: "Equal"
  value: "value1"
  effect: "NoExecute"

Response: This text code Taints and Tolerations | In this case, the pod will not be able to schedule onto the node, because there is no toleration matching the third taint. But it will be able to continue running if it is already running on the node


Prompt:
Complete this text code:

tolerations:
- key: "key1"
  operator: "Equal"

Response:
  value: "value1"
  effect: "NoExecute"
  tolerationSeconds: 3600

Context: Taints and Tolerations | means that if this pod is running and a matching taint is added to the node, then the pod will stay bound to the node for 3600 seconds, and then be evicted. If the taint is removed before that time, t


Prompt:
Explain this text code:

tolerations:
- key: "key1"
  operator: "Equal"
  value: "value1"
  effect: "NoExecute"
  tolerationSeconds: 3600

Response: This text code Taints and Tolerations | means that if this pod is running and a matching taint is added to the node, then the pod will stay bound to the node for 3600 seconds, and then be evicted. If the taint is removed before that time, t


Prompt:
Complete this text code:

tolerations:
- key: "node.kubernetes.io/unreachable"

Response:
  operator: "Exists"
  effect: "NoExecute"
  tolerationSeconds: 6000

Context: Taints and Tolerations | Kubernetes automatically adds a toleration for node.kubernetes.io/not-ready and node.kubernetes.io/unreachable with tolerationSeconds=300, unless you, or a controller, set those tolerations explicitly


Prompt:
Explain this text code:

tolerations:
- key: "node.kubernetes.io/unreachable"
  operator: "Exists"
  effect: "NoExecute"
  tolerationSeconds: 6000

Response: This text code Taints and Tolerations | Kubernetes automatically adds a toleration for node.kubernetes.io/not-ready and node.kubernetes.io/unreachable with tolerationSeconds=300, unless you, or a controller, set those tolerations explicitly


Prompt:
Complete this yaml code:

tolerations:
- key: "key1"

Response:
  operator: "Equal"
  value: "value1"
  effect: "NoSchedule"


Prompt:
Explain this yaml code:

tolerations:
- key: "key1"
  operator: "Equal"
  value: "value1"
  effect: "NoSchedule"

Response: This yaml code Taints and Tolerations | The default Kubernetes scheduler takes taints and tolerations into account when selecting a node to run a particular Pod. However, if you manually specify the .spec.nodeName for a Pod, that action byp


Prompt:
Complete this yaml code:

tolerations:
- key: "key1"

Response:
  operator: "Exists"
  effect: "NoSchedule"


Prompt:
Explain this yaml code:

tolerations:
- key: "key1"
  operator: "Exists"
  effect: "NoSchedule"

Response: This yaml code Taints and Tolerations | The default Kubernetes scheduler takes taints and tolerations into account when selecting a node to run a particular Pod. However, if you manually specify the .spec.nodeName for a Pod, that action byp


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: nginx
  labels:
    env: test
spec:

Response:
  containers:
  - name: nginx
    image: nginx
    imagePullPolicy: IfNotPresent
  tolerations:
  - key: "example-key"
    operator: "Exists"
    effect: "NoSchedule"


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: nginx
  labels:
    env: test
spec:
  containers:
  - name: nginx
    image: nginx
    imagePullPolicy: IfNotPresent
  tolerations:
  - key: "example-key"
    operator: "Exists"
    effect: "NoSchedule"

Response: This yaml code Taints and Tolerations | The default value for operator is Equal.


Prompt:
Explain this shell code:

kubectl taint nodes node1 key1=value1:NoSchedule
kubectl taint nodes node1 key1=value1:NoExecute
kubectl taint nodes node1 key2=value2:NoSchedule

Response: This shell code Taints and Tolerations | And a pod has two tolerations:


Prompt:
Complete this yaml code:

tolerations:
- key: "key1"
  operator: "Equal"
  value: "value1"

Response:
  effect: "NoSchedule"
- key: "key1"
  operator: "Equal"
  value: "value1"
  effect: "NoExecute"


Prompt:
Explain this yaml code:

tolerations:
- key: "key1"
  operator: "Equal"
  value: "value1"
  effect: "NoSchedule"
- key: "key1"
  operator: "Equal"
  value: "value1"
  effect: "NoExecute"

Response: This yaml code Taints and Tolerations | In this case, the pod will not be able to schedule onto the node, because there is no toleration matching the third taint. But it will be able to continue running if it is already running on the node


Prompt:
Complete this yaml code:

tolerations:
- key: "key1"
  operator: "Equal"

Response:
  value: "value1"
  effect: "NoExecute"
  tolerationSeconds: 3600


Prompt:
Explain this yaml code:

tolerations:
- key: "key1"
  operator: "Equal"
  value: "value1"
  effect: "NoExecute"
  tolerationSeconds: 3600

Response: This yaml code Taints and Tolerations | means that if this pod is running and a matching taint is added to the node, then the pod will stay bound to the node for 3600 seconds, and then be evicted. If the taint is removed before that time, t


Prompt:
Explain this bash code:

kubectl taint nodes nodename dedicated=groupName:NoSchedule

Response: This bash code Taints and Tolerations | Nodes with Special Hardware: In a cluster where a small subset of nodes have specialized hardware (for example GPUs), it is desirable to keep pods that don't need the specialized hardware off of those

Context: Taints and Tolerations | Nodes with Special Hardware: In a cluster where a small subset of nodes have specialized hardware (for example GPUs), it is desirable to keep pods that don't need the specialized hardware off of those


Prompt:
Explain this bash code:

kubectl taint nodes nodename special=true:NoSchedule

Response: This bash code Taints and Tolerations | Taint based Evictions: A per-pod-configurable eviction behavior when there are node problems, which is described in the next section.

Context: Taints and Tolerations | Taint based Evictions: A per-pod-configurable eviction behavior when there are node problems, which is described in the next section.


Prompt:
Explain this bash code:

kubectl taint nodes nodename special=true:PreferNoSchedule

Response: This bash code Taints and Tolerations | Taint based Evictions: A per-pod-configurable eviction behavior when there are node problems, which is described in the next section.


Prompt:
Complete this yaml code:

tolerations:
- key: "node.kubernetes.io/unreachable"

Response:
  operator: "Exists"
  effect: "NoExecute"
  tolerationSeconds: 6000


Prompt:
Explain this yaml code:

tolerations:
- key: "node.kubernetes.io/unreachable"
  operator: "Exists"
  effect: "NoExecute"
  tolerationSeconds: 6000

Response: This yaml code Taints and Tolerations | Kubernetes automatically adds a toleration for node.kubernetes.io/not-ready and node.kubernetes.io/unreachable with tolerationSeconds=300, unless you, or a controller, set those tolerations explicitly


Prompt:
Complete this text code:

tolerations:
- key: "key1"

Response:
  operator: "Equal"
  value: "value1"
  effect: "NoSchedule"


Prompt:
Explain this text code:

tolerations:
- key: "key1"
  operator: "Equal"
  value: "value1"
  effect: "NoSchedule"

Response: This text code Taints and Tolerations | The default Kubernetes scheduler takes taints and tolerations into account when selecting a node to run a particular Pod. However, if you manually specify the .spec.nodeName for a Pod, that action byp


Prompt:
Complete this text code:

tolerations:
- key: "key1"

Response:
  operator: "Exists"
  effect: "NoSchedule"


Prompt:
Explain this text code:

tolerations:
- key: "key1"
  operator: "Exists"
  effect: "NoSchedule"

Response: This text code Taints and Tolerations | The default Kubernetes scheduler takes taints and tolerations into account when selecting a node to run a particular Pod. However, if you manually specify the .spec.nodeName for a Pod, that action byp


Prompt:
Complete this yaml code:

pods/pod-with-toleration.yaml
apiVersion: v1
kind: Pod
metadata:
  name: nginx
  labels:
    env: test
spec:

Response:
  containers:
  - name: nginx
    image: nginx
    imagePullPolicy: IfNotPresent
  tolerations:
  - key: "example-key"
    operator: "Exists"
    effect: "NoSchedule"


Prompt:
Explain this yaml code:

pods/pod-with-toleration.yaml
apiVersion: v1
kind: Pod
metadata:
  name: nginx
  labels:
    env: test
spec:
  containers:
  - name: nginx
    image: nginx
    imagePullPolicy: IfNotPresent
  tolerations:
  - key: "example-key"
    operator: "Exists"
    effect: "NoSchedule"

Response: This yaml code Taints and Tolerations | The default value for operator is Equal.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: nginx
  labels:
    env: test
spec:

Response:
  containers:
  - name: nginx
    image: nginx
    imagePullPolicy: IfNotPresent
  tolerations:
  - key: "example-key"
    operator: "Exists"
    effect: "NoSchedule"


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: nginx
  labels:
    env: test
spec:
  containers:
  - name: nginx
    image: nginx
    imagePullPolicy: IfNotPresent
  tolerations:
  - key: "example-key"
    operator: "Exists"
    effect: "NoSchedule"

Response: This yaml code Taints and Tolerations | The default value for operator is Equal.


Prompt:
Explain this bash code:

kubectl taint nodes node1 key1=value1:NoSchedule
kubectl taint nodes node1 key1=value1:NoExecute
kubectl taint nodes node1 key2=value2:NoSchedule

Response: This bash code Taints and Tolerations | And a pod has two tolerations:


Prompt:
Complete this text code:

tolerations:
- key: "key1"
  operator: "Equal"
  value: "value1"

Response:
  effect: "NoSchedule"
- key: "key1"
  operator: "Equal"
  value: "value1"
  effect: "NoExecute"


Prompt:
Explain this text code:

tolerations:
- key: "key1"
  operator: "Equal"
  value: "value1"
  effect: "NoSchedule"
- key: "key1"
  operator: "Equal"
  value: "value1"
  effect: "NoExecute"

Response: This text code Taints and Tolerations | In this case, the pod will not be able to schedule onto the node, because there is no toleration matching the third taint. But it will be able to continue running if it is already running on the node


Prompt:
Complete this text code:

tolerations:
- key: "key1"
  operator: "Equal"

Response:
  value: "value1"
  effect: "NoExecute"
  tolerationSeconds: 3600


Prompt:
Explain this text code:

tolerations:
- key: "key1"
  operator: "Equal"
  value: "value1"
  effect: "NoExecute"
  tolerationSeconds: 3600

Response: This text code Taints and Tolerations | means that if this pod is running and a matching taint is added to the node, then the pod will stay bound to the node for 3600 seconds, and then be evicted. If the taint is removed before that time, t


Prompt:
Complete this text code:

tolerations:
- key: "node.kubernetes.io/unreachable"

Response:
  operator: "Exists"
  effect: "NoExecute"
  tolerationSeconds: 6000


Prompt:
Explain this text code:

tolerations:
- key: "node.kubernetes.io/unreachable"
  operator: "Exists"
  effect: "NoExecute"
  tolerationSeconds: 6000

Response: This text code Taints and Tolerations | Kubernetes automatically adds a toleration for node.kubernetes.io/not-ready and node.kubernetes.io/unreachable with tolerationSeconds=300, unless you, or a controller, set those tolerations explicitly


Prompt:
Explain this bash code:

kubectl port-forward TYPE/NAME [options] [LOCAL_PORT:]REMOTE_PORT [...[LOCAL_PORT_N:]REMOTE_PORT_N]

Response: This bash code kubectl port-forward | Addresses to listen on (comma separated). Only accepts IP addresses or localhost as a value. When localhost is supplied, kubectl will try to bind on both 127.0.0.1 and ::1 and will fail if neither of

Context: kubectl port-forward | Addresses to listen on (comma separated). Only accepts IP addresses or localhost as a value. When localhost is supplied, kubectl will try to bind on both 127.0.0.1 and ::1 and will fail if neither of


Prompt:
Complete this text code:

# Listen on ports 5000 and 6000 locally, forwarding data to/from ports 5000 and 6000 in the pod
  kubectl port-forward pod/mypod 5000 6000

  # Listen on ports 5000 and 6000 locally, forwarding data to/from ports 5000 and 6000 in a pod selected by the deployment
  kubectl port-forward deployment/mydeployment 5000 6000

  # Listen on port 8443 locally, forwarding to the targetPort of the service's port named "https" in a pod selected by the service
  kubectl port-forward service/myservice 8443:https

  # Listen on port 8888 locally, forwarding to 5000 in the pod

Response:
  kubectl port-forward pod/mypod 8888:5000

  # Listen on port 8888 on all addresses, forwarding to 5000 in the pod
  kubectl port-forward --address 0.0.0.0 pod/mypod 8888:5000

  # Listen on port 8888 on localhost and selected IP, forwarding to 5000 in the pod
  kubectl port-forward --address localhost,10.19.21.23 pod/mypod 8888:5000

  # Listen on a random port locally, forwarding to 5000 in the pod
  kubectl port-forward pod/mypod :5000


Prompt:
Explain this text code:

# Listen on ports 5000 and 6000 locally, forwarding data to/from ports 5000 and 6000 in the pod
  kubectl port-forward pod/mypod 5000 6000

  # Listen on ports 5000 and 6000 locally, forwarding data to/from ports 5000 and 6000 in a pod selected by the deployment
  kubectl port-forward deployment/mydeployment 5000 6000

  # Listen on port 8443 locally, forwarding to the targetPort of the service's port named "https" in a pod selected by the service
  kubectl port-forward service/myservice 8443:https

  # Listen on port 8888 locally, forwarding to 5000 in the pod
  kubectl port-forward pod/mypod 8888:5000

  # Listen on port 8888 on all addresses, forwarding to 5000 in the pod
  kubectl port-forward --address 0.0.0.0 pod/mypod 8888:5000

  # Listen on port 8888 on localhost and selected IP, forwarding to 5000 in the pod
  kubectl port-forward --address localhost,10.19.21.23 pod/mypod 8888:5000

  # Listen on a random port locally, forwarding to 5000 in the pod
  kubectl port-forward pod/mypod :5000

Response: This text code kubectl port-forward | Addresses to listen on (comma separated). Only accepts IP addresses or localhost as a value. When localhost is supplied, kubectl will try to bind on both 127.0.0.1 and ::1 and will fail if neither of


Prompt:
Explain this bash code:

kubectl port-forward TYPE/NAME [options] [LOCAL_PORT:]REMOTE_PORT [...[LOCAL_PORT_N:]REMOTE_PORT_N]

Response: This bash code kubectl port-forward | Addresses to listen on (comma separated). Only accepts IP addresses or localhost as a value. When localhost is supplied, kubectl will try to bind on both 127.0.0.1 and ::1 and will fail if neither of


Prompt:
Complete this text code:

# Listen on ports 5000 and 6000 locally, forwarding data to/from ports 5000 and 6000 in the pod
  kubectl port-forward pod/mypod 5000 6000

  # Listen on ports 5000 and 6000 locally, forwarding data to/from ports 5000 and 6000 in a pod selected by the deployment
  kubectl port-forward deployment/mydeployment 5000 6000

  # Listen on port 8443 locally, forwarding to the targetPort of the service's port named "https" in a pod selected by the service
  kubectl port-forward service/myservice 8443:https

  # Listen on port 8888 locally, forwarding to 5000 in the pod

Response:
  kubectl port-forward pod/mypod 8888:5000

  # Listen on port 8888 on all addresses, forwarding to 5000 in the pod
  kubectl port-forward --address 0.0.0.0 pod/mypod 8888:5000

  # Listen on port 8888 on localhost and selected IP, forwarding to 5000 in the pod
  kubectl port-forward --address localhost,10.19.21.23 pod/mypod 8888:5000

  # Listen on a random port locally, forwarding to 5000 in the pod
  kubectl port-forward pod/mypod :5000


Prompt:
Explain this text code:

# Listen on ports 5000 and 6000 locally, forwarding data to/from ports 5000 and 6000 in the pod
  kubectl port-forward pod/mypod 5000 6000

  # Listen on ports 5000 and 6000 locally, forwarding data to/from ports 5000 and 6000 in a pod selected by the deployment
  kubectl port-forward deployment/mydeployment 5000 6000

  # Listen on port 8443 locally, forwarding to the targetPort of the service's port named "https" in a pod selected by the service
  kubectl port-forward service/myservice 8443:https

  # Listen on port 8888 locally, forwarding to 5000 in the pod
  kubectl port-forward pod/mypod 8888:5000

  # Listen on port 8888 on all addresses, forwarding to 5000 in the pod
  kubectl port-forward --address 0.0.0.0 pod/mypod 8888:5000

  # Listen on port 8888 on localhost and selected IP, forwarding to 5000 in the pod
  kubectl port-forward --address localhost,10.19.21.23 pod/mypod 8888:5000

  # Listen on a random port locally, forwarding to 5000 in the pod
  kubectl port-forward pod/mypod :5000

Response: This text code kubectl port-forward | Addresses to listen on (comma separated). Only accepts IP addresses or localhost as a value. When localhost is supplied, kubectl will try to bind on both 127.0.0.1 and ::1 and will fail if neither of


Prompt:
Complete this text code:

Object{
  spec: Object.spec{

Response:
    serviceAccountName: "example"
  }
}

Context: MutatingAdmissionPolicyBinding v1alpha1 | Apply configurations may not modify atomic structs, maps or arrays due to the risk of accidental deletion of values not included in the apply configuration.


Prompt:
Explain this text code:

Object{
  spec: Object.spec{
    serviceAccountName: "example"
  }
}

Response: This text code MutatingAdmissionPolicyBinding v1alpha1 | Apply configurations may not modify atomic structs, maps or arrays due to the risk of accidental deletion of values not included in the apply configuration.


Prompt:
Complete this json code:

[
    JSONPatch{op: "test", path: "/spec/example", value: "Red"},

Response:
    JSONPatch{op: "replace", path: "/spec/example", value: "Green"}
  ]

Context: MutatingAdmissionPolicyBinding v1alpha1 | To define an object for the patch value, use Object types. For example:


Prompt:
Explain this json code:

[
    JSONPatch{op: "test", path: "/spec/example", value: "Red"},
    JSONPatch{op: "replace", path: "/spec/example", value: "Green"}
  ]

Response: This json code MutatingAdmissionPolicyBinding v1alpha1 | To define an object for the patch value, use Object types. For example:


Prompt:
Complete this json code:

[
    JSONPatch{
      op: "add",

Response:
      path: "/spec/selector",
      value: Object.spec.selector{matchLabels: {"environment": "test"}}
    }
  ]

Context: MutatingAdmissionPolicyBinding v1alpha1 | To use strings containing '/' and '~' as JSONPatch path keys, use "jsonpatch.escapeKey". For example:


Prompt:
Explain this json code:

[
    JSONPatch{
      op: "add",
      path: "/spec/selector",
      value: Object.spec.selector{matchLabels: {"environment": "test"}}
    }
  ]

Response: This json code MutatingAdmissionPolicyBinding v1alpha1 | To use strings containing '/' and '~' as JSONPatch path keys, use "jsonpatch.escapeKey". For example:


Prompt:
Complete this json code:

[
    JSONPatch{
      op: "add",

Response:
      path: "/metadata/labels/" + jsonpatch.escapeKey("example.com/environment"),
      value: "test"
    },
  ]

Context: MutatingAdmissionPolicyBinding v1alpha1 | CEL expressions have access to the types needed to create JSON patches and objects:


Prompt:
Explain this json code:

[
    JSONPatch{
      op: "add",
      path: "/metadata/labels/" + jsonpatch.escapeKey("example.com/environment"),
      value: "test"
    },
  ]

Response: This json code MutatingAdmissionPolicyBinding v1alpha1 | CEL expressions have access to the types needed to create JSON patches and objects:


Prompt:
Explain this text code:

apiGroups:["apps"], apiVersions:["v1"], resources: ["deployments"]

Response: This text code MutatingAdmissionPolicyBinding v1alpha1 | Equivalent: match a request if modifies a resource listed in rules, even via another API group or version. For example, if deployments can be modified via apps/v1, apps/v1beta1, and extensions/v1beta1

Context: MutatingAdmissionPolicyBinding v1alpha1 | Equivalent: match a request if modifies a resource listed in rules, even via another API group or version. For example, if deployments can be modified via apps/v1, apps/v1beta1, and extensions/v1beta1


Prompt:
Explain this text code:

apiGroups:["apps"], apiVersions:["v1"], resources: ["deployments"]

Response: This text code MutatingAdmissionPolicyBinding v1alpha1 | Defaults to "Equivalent"

Context: MutatingAdmissionPolicyBinding v1alpha1 | Defaults to "Equivalent"


Prompt:
Explain this text code:

apiGroups:["apps"], apiVersions:["v1"], resources: ["deployments"]

Response: This text code MutatingAdmissionPolicyBinding v1alpha1 | Equivalent: match a request if modifies a resource listed in rules, even via another API group or version. For example, if deployments can be modified via apps/v1, apps/v1beta1, and extensions/v1beta1


Prompt:
Explain this text code:

apiGroups:["apps"], apiVersions:["v1"], resources: ["deployments"]

Response: This text code MutatingAdmissionPolicyBinding v1alpha1 | Defaults to "Equivalent"


Prompt:
Complete this text code:

Object{
  spec: Object.spec{

Response:
    serviceAccountName: "example"
  }
}


Prompt:
Explain this text code:

Object{
  spec: Object.spec{
    serviceAccountName: "example"
  }
}

Response: This text code MutatingAdmissionPolicyBinding v1alpha1 | Apply configurations may not modify atomic structs, maps or arrays due to the risk of accidental deletion of values not included in the apply configuration.


Prompt:
Complete this json code:

[
    JSONPatch{op: "test", path: "/spec/example", value: "Red"},

Response:
    JSONPatch{op: "replace", path: "/spec/example", value: "Green"}
  ]


Prompt:
Explain this json code:

[
    JSONPatch{op: "test", path: "/spec/example", value: "Red"},
    JSONPatch{op: "replace", path: "/spec/example", value: "Green"}
  ]

Response: This json code MutatingAdmissionPolicyBinding v1alpha1 | To define an object for the patch value, use Object types. For example:


Prompt:
Complete this json code:

[
    JSONPatch{
      op: "add",

Response:
      path: "/spec/selector",
      value: Object.spec.selector{matchLabels: {"environment": "test"}}
    }
  ]


Prompt:
Explain this json code:

[
    JSONPatch{
      op: "add",
      path: "/spec/selector",
      value: Object.spec.selector{matchLabels: {"environment": "test"}}
    }
  ]

Response: This json code MutatingAdmissionPolicyBinding v1alpha1 | To use strings containing '/' and '~' as JSONPatch path keys, use "jsonpatch.escapeKey". For example:


Prompt:
Complete this json code:

[
    JSONPatch{
      op: "add",

Response:
      path: "/metadata/labels/" + jsonpatch.escapeKey("example.com/environment"),
      value: "test"
    },
  ]


Prompt:
Explain this json code:

[
    JSONPatch{
      op: "add",
      path: "/metadata/labels/" + jsonpatch.escapeKey("example.com/environment"),
      value: "test"
    },
  ]

Response: This json code MutatingAdmissionPolicyBinding v1alpha1 | CEL expressions have access to the types needed to create JSON patches and objects:


Prompt:
Complete this text code:

\<quantity>        ::= \<signedNumber>\<suffix>

  (Note that \<suffix> may be empty, from the "" case in \<decimalSI>.)

\<digit>           ::= 0 | 1 | ... | 9 \<digits>          ::= \<digit> | \<digit>\<digits> \<number>          ::= \<digits> | \<digits>.\<digits> | \<digits>. | .\<digits> \<sign>            ::= "+" | "-" \<signedNumber>    ::= \<number> | \<sign>\<number> \<suffix>          ::= \<binarySI> | \<decimalExponent> | \<decimalSI> \<binarySI>        ::= Ki | Mi | Gi | Ti | Pi | Ei

Response:
  (International System of units; See: http://physics.nist.gov/cuu/Units/binary.html)

\<decimalSI>       ::= m | "" | k | M | G | T | P | E

  (Note that 1024 = 1Ki but 1000 = 1k; I didn't choose the capitalization.)

\<decimalExponent> ::= "e" \<signedNumber> | "E" \<signedNumber>

Context: Quantity | No matter which of the three exponent forms is used, no quantity may represent a number greater than 2^63-1 in magnitude, nor may it have more than 3 decimal places. Numbers larger or more precise wil


Prompt:
Explain this text code:

\<quantity>        ::= \<signedNumber>\<suffix>

  (Note that \<suffix> may be empty, from the "" case in \<decimalSI>.)

\<digit>           ::= 0 | 1 | ... | 9 \<digits>          ::= \<digit> | \<digit>\<digits> \<number>          ::= \<digits> | \<digits>.\<digits> | \<digits>. | .\<digits> \<sign>            ::= "+" | "-" \<signedNumber>    ::= \<number> | \<sign>\<number> \<suffix>          ::= \<binarySI> | \<decimalExponent> | \<decimalSI> \<binarySI>        ::= Ki | Mi | Gi | Ti | Pi | Ei

  (International System of units; See: http://physics.nist.gov/cuu/Units/binary.html)

\<decimalSI>       ::= m | "" | k | M | G | T | P | E

  (Note that 1024 = 1Ki but 1000 = 1k; I didn't choose the capitalization.)

\<decimalExponent> ::= "e" \<signedNumber> | "E" \<signedNumber>

Response: This text code Quantity | No matter which of the three exponent forms is used, no quantity may represent a number greater than 2^63-1 in magnitude, nor may it have more than 3 decimal places. Numbers larger or more precise wil


Prompt:
Complete this text code:

\<quantity>        ::= \<signedNumber>\<suffix>

  (Note that \<suffix> may be empty, from the "" case in \<decimalSI>.)

\<digit>           ::= 0 | 1 | ... | 9 \<digits>          ::= \<digit> | \<digit>\<digits> \<number>          ::= \<digits> | \<digits>.\<digits> | \<digits>. | .\<digits> \<sign>            ::= "+" | "-" \<signedNumber>    ::= \<number> | \<sign>\<number> \<suffix>          ::= \<binarySI> | \<decimalExponent> | \<decimalSI> \<binarySI>        ::= Ki | Mi | Gi | Ti | Pi | Ei

Response:
  (International System of units; See: http://physics.nist.gov/cuu/Units/binary.html)

\<decimalSI>       ::= m | "" | k | M | G | T | P | E

  (Note that 1024 = 1Ki but 1000 = 1k; I didn't choose the capitalization.)

\<decimalExponent> ::= "e" \<signedNumber> | "E" \<signedNumber>


Prompt:
Explain this text code:

\<quantity>        ::= \<signedNumber>\<suffix>

  (Note that \<suffix> may be empty, from the "" case in \<decimalSI>.)

\<digit>           ::= 0 | 1 | ... | 9 \<digits>          ::= \<digit> | \<digit>\<digits> \<number>          ::= \<digits> | \<digits>.\<digits> | \<digits>. | .\<digits> \<sign>            ::= "+" | "-" \<signedNumber>    ::= \<number> | \<sign>\<number> \<suffix>          ::= \<binarySI> | \<decimalExponent> | \<decimalSI> \<binarySI>        ::= Ki | Mi | Gi | Ti | Pi | Ei

  (International System of units; See: http://physics.nist.gov/cuu/Units/binary.html)

\<decimalSI>       ::= m | "" | k | M | G | T | P | E

  (Note that 1024 = 1Ki but 1000 = 1k; I didn't choose the capitalization.)

\<decimalExponent> ::= "e" \<signedNumber> | "E" \<signedNumber>

Response: This text code Quantity | No matter which of the three exponent forms is used, no quantity may represent a number greater than 2^63-1 in magnitude, nor may it have more than 3 decimal places. Numbers larger or more precise wil


Prompt:
Explain this text code:

kube-apiserver \
--runtime-config=flowcontrol.apiserver.k8s.io/v1beta3=false \
 # …and other flags as usual

Response: This text code API Priority and Fairness | The command-line flag --enable-priority-and-fairness=false will disable the API Priority and Fairness feature.

Context: API Priority and Fairness | The command-line flag --enable-priority-and-fairness=false will disable the API Priority and Fairness feature.


Prompt:
Complete this yaml code:

apiVersion: flowcontrol.apiserver.k8s.io/v1
kind: FlowSchema
metadata:
  name: health-for-strangers
spec:
  matchingPrecedence: 1000
  priorityLevelConfiguration:
    name: exempt
  rules:
    - nonResourceRules:

Response:
      - nonResourceURLs:
          - "/healthz"
          - "/livez"
          - "/readyz"
        verbs:
          - "*"
      subjects:
        - kind: Group
          group:
            name: "system:unauthenticated"

Context: API Priority and Fairness | When you enable the API Priority and Fairness feature, the kube-apiserver exports additional metrics. Monitoring these can help you determine whether your configuration is inappropriately throttling i


Prompt:
Explain this yaml code:

apiVersion: flowcontrol.apiserver.k8s.io/v1
kind: FlowSchema
metadata:
  name: health-for-strangers
spec:
  matchingPrecedence: 1000
  priorityLevelConfiguration:
    name: exempt
  rules:
    - nonResourceRules:
      - nonResourceURLs:
          - "/healthz"
          - "/livez"
          - "/readyz"
        verbs:
          - "*"
      subjects:
        - kind: Group
          group:
            name: "system:unauthenticated"

Response: This yaml code API Priority and Fairness | When you enable the API Priority and Fairness feature, the kube-apiserver exports additional metrics. Monitoring these can help you determine whether your configuration is inappropriately throttling i


Prompt:
Complete this yaml code:

apiVersion: flowcontrol.apiserver.k8s.io/v1
kind: FlowSchema
metadata:
  name: list-events-default-service-account
spec:
  distinguisherMethod:
    type: ByUser
  matchingPrecedence: 8000
  priorityLevelConfiguration:
    name: catch-all
  rules:
    - resourceRules:

Response:
      - apiGroups:
          - '*'
        namespaces:
          - default
        resources:
          - events
        verbs:
          - list
      subjects:
        - kind: ServiceAccount
          serviceAccount:
            name: default
            namespace: default

Context: API Priority and Fairness |


Prompt:
Explain this yaml code:

apiVersion: flowcontrol.apiserver.k8s.io/v1
kind: FlowSchema
metadata:
  name: list-events-default-service-account
spec:
  distinguisherMethod:
    type: ByUser
  matchingPrecedence: 8000
  priorityLevelConfiguration:
    name: catch-all
  rules:
    - resourceRules:
      - apiGroups:
          - '*'
        namespaces:
          - default
        resources:
          - events
        verbs:
          - list
      subjects:
        - kind: ServiceAccount
          serviceAccount:
            name: default
            namespace: default

Response: This yaml code API Priority and Fairness |

Context: API Priority and Fairness |


Prompt:
Explain this shell code:

kube-apiserver \
--runtime-config=flowcontrol.apiserver.k8s.io/v1beta3=false \
 # …and other flags as usual

Response: This shell code API Priority and Fairness | The command-line flag --enable-priority-and-fairness=false will disable the API Priority and Fairness feature.


Prompt:
Complete this yaml code:

apiVersion: flowcontrol.apiserver.k8s.io/v1
kind: FlowSchema
metadata:
  name: health-for-strangers
spec:
  matchingPrecedence: 1000
  priorityLevelConfiguration:
    name: exempt
  rules:
    - nonResourceRules:

Response:
      - nonResourceURLs:
          - "/healthz"
          - "/livez"
          - "/readyz"
        verbs:
          - "*"
      subjects:
        - kind: Group
          group:
            name: "system:unauthenticated"


Prompt:
Explain this yaml code:

apiVersion: flowcontrol.apiserver.k8s.io/v1
kind: FlowSchema
metadata:
  name: health-for-strangers
spec:
  matchingPrecedence: 1000
  priorityLevelConfiguration:
    name: exempt
  rules:
    - nonResourceRules:
      - nonResourceURLs:
          - "/healthz"
          - "/livez"
          - "/readyz"
        verbs:
          - "*"
      subjects:
        - kind: Group
          group:
            name: "system:unauthenticated"

Response: This yaml code API Priority and Fairness | When you enable the API Priority and Fairness feature, the kube-apiserver exports additional metrics. Monitoring these can help you determine whether your configuration is inappropriately throttling i


Prompt:
Explain this text code:

apiserver_flowcontrol_request_wait_duration_seconds

Response: This text code API Priority and Fairness | apiserver_flowcontrol_nominal_limit_seats is a gauge vector holding each priority level's nominal concurrency limit, computed from the API server's total concurrency limit and the priority level's con

Context: API Priority and Fairness | apiserver_flowcontrol_nominal_limit_seats is a gauge vector holding each priority level's nominal concurrency limit, computed from the API server's total concurrency limit and the priority level's con


Prompt:
Explain this text code:

apiserver_flowcontrol_read_vs_write_current_requests

Response: This text code API Priority and Fairness | apiserver_flowcontrol_request_concurrency_in_use is a gauge vector holding the instantaneous number of occupied seats, broken down by priority_level and flow_schema.

Context: API Priority and Fairness | apiserver_flowcontrol_request_concurrency_in_use is a gauge vector holding the instantaneous number of occupied seats, broken down by priority_level and flow_schema.


Prompt:
Explain this text code:

apiserver_flowcontrol_priority_level_request_utilization

Response: This text code API Priority and Fairness | apiserver_flowcontrol_priority_level_seat_utilization is a histogram vector of observations, made at the end of each nanosecond, of the utilization of a priority level's concurrency limit, broken down

Context: API Priority and Fairness | apiserver_flowcontrol_priority_level_seat_utilization is a histogram vector of observations, made at the end of each nanosecond, of the utilization of a priority level's concurrency limit, broken down


Prompt:
Explain this text code:

apiserver_flowcontrol_priority_level_seat_utilization

Response: This text code API Priority and Fairness | apiserver_flowcontrol_request_queue_length_after_enqueue is a histogram vector of queue lengths for the queues, broken down by priority_level and flow_schema, as sampled by the enqueued requests. Each

Context: API Priority and Fairness | apiserver_flowcontrol_request_queue_length_after_enqueue is a histogram vector of queue lengths for the queues, broken down by priority_level and flow_schema, as sampled by the enqueued requests. Each


Prompt:
Explain this text code:

apiserver_flowcontrol_request_queue_length_after_enqueue

Response: This text code API Priority and Fairness | apiserver_flowcontrol_request_concurrency_limit is the same as apiserver_flowcontrol_nominal_limit_seats. Before the introduction of concurrency borrowing between priority levels, this was always equa

Context: API Priority and Fairness | apiserver_flowcontrol_request_concurrency_limit is the same as apiserver_flowcontrol_nominal_limit_seats. Before the introduction of concurrency borrowing between priority levels, this was always equa


Prompt:
Explain this text code:

apiserver_flowcontrol_request_dispatch_no_accommodation_total

Response: This text code API Priority and Fairness | apiserver_flowcontrol_epoch_advance_total is a counter vector of the number of attempts to jump a priority level's progress meter backward to avoid numeric overflow, grouped by priority_level and succ

Context: API Priority and Fairness | apiserver_flowcontrol_epoch_advance_total is a counter vector of the number of attempts to jump a priority level's progress meter backward to avoid numeric overflow, grouped by priority_level and succ


Prompt:
Explain this text code:

priority-and-fairness/list-events-default-service-account.yaml

Response: This text code API Priority and Fairness |

Context: API Priority and Fairness |


Prompt:
Complete this yaml code:

apiVersion: flowcontrol.apiserver.k8s.io/v1
kind: FlowSchema
metadata:
  name: list-events-default-service-account
spec:
  distinguisherMethod:
    type: ByUser
  matchingPrecedence: 8000
  priorityLevelConfiguration:
    name: catch-all
  rules:
    - resourceRules:

Response:
      - apiGroups:
          - '*'
        namespaces:
          - default
        resources:
          - events
        verbs:
          - list
      subjects:
        - kind: ServiceAccount
          serviceAccount:
            name: default
            namespace: default

Context: API Priority and Fairness |


Prompt:
Explain this yaml code:

apiVersion: flowcontrol.apiserver.k8s.io/v1
kind: FlowSchema
metadata:
  name: list-events-default-service-account
spec:
  distinguisherMethod:
    type: ByUser
  matchingPrecedence: 8000
  priorityLevelConfiguration:
    name: catch-all
  rules:
    - resourceRules:
      - apiGroups:
          - '*'
        namespaces:
          - default
        resources:
          - events
        verbs:
          - list
      subjects:
        - kind: ServiceAccount
          serviceAccount:
            name: default
            namespace: default

Response: This yaml code API Priority and Fairness |

Context: API Priority and Fairness |


Prompt:
Explain this text code:

kube-apiserver \
--runtime-config=flowcontrol.apiserver.k8s.io/v1beta3=false \
 # …and other flags as usual

Response: This text code API Priority and Fairness | The command-line flag --enable-priority-and-fairness=false will disable the API Priority and Fairness feature.


Prompt:
Complete this yaml code:

priority-and-fairness/health-for-strangers.yaml
apiVersion: flowcontrol.apiserver.k8s.io/v1
kind: FlowSchema
metadata:
  name: health-for-strangers
spec:
  matchingPrecedence: 1000
  priorityLevelConfiguration:
    name: exempt
  rules:

Response:
    - nonResourceRules:
      - nonResourceURLs:
          - "/healthz"
          - "/livez"
          - "/readyz"
        verbs:
          - "*"
      subjects:
        - kind: Group
          group:
            name: "system:unauthenticated"


Prompt:
Explain this yaml code:

priority-and-fairness/health-for-strangers.yaml
apiVersion: flowcontrol.apiserver.k8s.io/v1
kind: FlowSchema
metadata:
  name: health-for-strangers
spec:
  matchingPrecedence: 1000
  priorityLevelConfiguration:
    name: exempt
  rules:
    - nonResourceRules:
      - nonResourceURLs:
          - "/healthz"
          - "/livez"
          - "/readyz"
        verbs:
          - "*"
      subjects:
        - kind: Group
          group:
            name: "system:unauthenticated"

Response: This yaml code API Priority and Fairness | When you enable the API Priority and Fairness feature, the kube-apiserver exports additional metrics. Monitoring these can help you determine whether your configuration is inappropriately throttling i


Prompt:
Complete this yaml code:

apiVersion: flowcontrol.apiserver.k8s.io/v1
kind: FlowSchema
metadata:
  name: health-for-strangers
spec:
  matchingPrecedence: 1000
  priorityLevelConfiguration:
    name: exempt
  rules:
    - nonResourceRules:

Response:
      - nonResourceURLs:
          - "/healthz"
          - "/livez"
          - "/readyz"
        verbs:
          - "*"
      subjects:
        - kind: Group
          group:
            name: "system:unauthenticated"


Prompt:
Explain this yaml code:

apiVersion: flowcontrol.apiserver.k8s.io/v1
kind: FlowSchema
metadata:
  name: health-for-strangers
spec:
  matchingPrecedence: 1000
  priorityLevelConfiguration:
    name: exempt
  rules:
    - nonResourceRules:
      - nonResourceURLs:
          - "/healthz"
          - "/livez"
          - "/readyz"
        verbs:
          - "*"
      subjects:
        - kind: Group
          group:
            name: "system:unauthenticated"

Response: This yaml code API Priority and Fairness | When you enable the API Priority and Fairness feature, the kube-apiserver exports additional metrics. Monitoring these can help you determine whether your configuration is inappropriately throttling i


Prompt:
Complete this yaml code:

priority-and-fairness/list-events-default-service-account.yaml
apiVersion: flowcontrol.apiserver.k8s.io/v1
kind: FlowSchema
metadata:
  name: list-events-default-service-account
spec:
  distinguisherMethod:
    type: ByUser
  matchingPrecedence: 8000
  priorityLevelConfiguration:
    name: catch-all
  rules:
    - resourceRules:

Response:
      - apiGroups:
          - '*'
        namespaces:
          - default
        resources:
          - events
        verbs:
          - list
      subjects:
        - kind: ServiceAccount
          serviceAccount:
            name: default
            namespace: default

Context: API Priority and Fairness |


Prompt:
Explain this yaml code:

priority-and-fairness/list-events-default-service-account.yaml
apiVersion: flowcontrol.apiserver.k8s.io/v1
kind: FlowSchema
metadata:
  name: list-events-default-service-account
spec:
  distinguisherMethod:
    type: ByUser
  matchingPrecedence: 8000
  priorityLevelConfiguration:
    name: catch-all
  rules:
    - resourceRules:
      - apiGroups:
          - '*'
        namespaces:
          - default
        resources:
          - events
        verbs:
          - list
      subjects:
        - kind: ServiceAccount
          serviceAccount:
            name: default
            namespace: default

Response: This yaml code API Priority and Fairness |

Context: API Priority and Fairness |


Prompt:
Complete this yaml code:

apiVersion: flowcontrol.apiserver.k8s.io/v1
kind: FlowSchema
metadata:
  name: list-events-default-service-account
spec:
  distinguisherMethod:
    type: ByUser
  matchingPrecedence: 8000
  priorityLevelConfiguration:
    name: catch-all
  rules:
    - resourceRules:

Response:
      - apiGroups:
          - '*'
        namespaces:
          - default
        resources:
          - events
        verbs:
          - list
      subjects:
        - kind: ServiceAccount
          serviceAccount:
            name: default
            namespace: default

Context: API Priority and Fairness |


Prompt:
Explain this yaml code:

apiVersion: flowcontrol.apiserver.k8s.io/v1
kind: FlowSchema
metadata:
  name: list-events-default-service-account
spec:
  distinguisherMethod:
    type: ByUser
  matchingPrecedence: 8000
  priorityLevelConfiguration:
    name: catch-all
  rules:
    - resourceRules:
      - apiGroups:
          - '*'
        namespaces:
          - default
        resources:
          - events
        verbs:
          - list
      subjects:
        - kind: ServiceAccount
          serviceAccount:
            name: default
            namespace: default

Response: This yaml code API Priority and Fairness |

Context: API Priority and Fairness |


Prompt:
Explain this bash code:

kubectl get pvc cat-pictures-pvc -o jsonpath='{.spec.volumeName}'

Response: This bash code Change the Access Mode of a PersistentVolume to ReadWriteOncePod | And you can view the PVC before you make changes. Either view the manifest locally, or run kubectl get pvc <name-of-pvc> -o yaml. The output is similar to:

Context: Change the Access Mode of a PersistentVolume to ReadWriteOncePod | And you can view the PVC before you make changes. Either view the manifest locally, or run kubectl get pvc <name-of-pvc> -o yaml. The output is similar to:


Prompt:
Complete this yaml code:

# cat-pictures-pvc.yaml
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
  name: cat-pictures-pvc

Response:
spec:
  accessModes:
  - ReadWriteOnce
  resources:
    requests:
      storage: 1Gi

Context: Change the Access Mode of a PersistentVolume to ReadWriteOncePod | Here's an example Deployment that relies on that PersistentVolumeClaim:


Prompt:
Explain this yaml code:

# cat-pictures-pvc.yaml
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
  name: cat-pictures-pvc
spec:
  accessModes:
  - ReadWriteOnce
  resources:
    requests:
      storage: 1Gi

Response: This yaml code Change the Access Mode of a PersistentVolume to ReadWriteOncePod | Here's an example Deployment that relies on that PersistentVolumeClaim:


Prompt:
Complete this yaml code:

# cat-pictures-writer-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: cat-pictures-writer
spec:
  replicas: 3
  selector:
    matchLabels:
      app: cat-pictures-writer
  template:
    metadata:
      labels:
        app: cat-pictures-writer

Response:
    spec:
      containers:
      - name: nginx
        image: nginx:1.14.2
        ports:
        - containerPort: 80
        volumeMounts:
        - name: cat-pictures
          mountPath: /mnt
      volumes:
      - name: cat-pictures
        persistentVolumeClaim:
          claimName: cat-pictures-pvc
          readOnly: false

Context: Change the Access Mode of a PersistentVolume to ReadWriteOncePod | As a first step, you need to edit your PersistentVolume's spec.persistentVolumeReclaimPolicy and set it to Retain. This ensures your PersistentVolume will not be deleted when you delete the correspond


Prompt:
Explain this yaml code:

# cat-pictures-writer-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: cat-pictures-writer
spec:
  replicas: 3
  selector:
    matchLabels:
      app: cat-pictures-writer
  template:
    metadata:
      labels:
        app: cat-pictures-writer
    spec:
      containers:
      - name: nginx
        image: nginx:1.14.2
        ports:
        - containerPort: 80
        volumeMounts:
        - name: cat-pictures
          mountPath: /mnt
      volumes:
      - name: cat-pictures
        persistentVolumeClaim:
          claimName: cat-pictures-pvc
          readOnly: false

Response: This yaml code Change the Access Mode of a PersistentVolume to ReadWriteOncePod | As a first step, you need to edit your PersistentVolume's spec.persistentVolumeReclaimPolicy and set it to Retain. This ensures your PersistentVolume will not be deleted when you delete the correspond


Prompt:
Explain this bash code:

kubectl patch pv cat-pictures-pv -p '{"spec":{"persistentVolumeReclaimPolicy":"Retain"}}'

Response: This bash code Change the Access Mode of a PersistentVolume to ReadWriteOncePod | Next you need to stop any workloads that are using the PersistentVolumeClaim bound to the PersistentVolume you want to migrate, and then delete the PersistentVolumeClaim. Avoid making any other change

Context: Change the Access Mode of a PersistentVolume to ReadWriteOncePod | Next you need to stop any workloads that are using the PersistentVolumeClaim bound to the PersistentVolume you want to migrate, and then delete the PersistentVolumeClaim. Avoid making any other change


Prompt:
Explain this bash code:

kubectl scale --replicas=0 deployment cat-pictures-writer
kubectl delete pvc cat-pictures-pvc
kubectl patch pv cat-pictures-pv -p '{"spec":{"claimRef":{"uid":""}}}'

Response: This bash code Change the Access Mode of a PersistentVolume to ReadWriteOncePod | After that, replace the PersistentVolume's list of valid access modes to be (only) ReadWriteOncePod:

Context: Change the Access Mode of a PersistentVolume to ReadWriteOncePod | After that, replace the PersistentVolume's list of valid access modes to be (only) ReadWriteOncePod:


Prompt:
Explain this bash code:

kubectl patch pv cat-pictures-pv -p '{"spec":{"accessModes":["ReadWriteOncePod"]}}'

Response: This bash code Change the Access Mode of a PersistentVolume to ReadWriteOncePod | Next you need to modify your PersistentVolumeClaim to set ReadWriteOncePod as the only access mode. You should also set the PersistentVolumeClaim's spec.volumeName to the name of your PersistentVolume

Context: Change the Access Mode of a PersistentVolume to ReadWriteOncePod | Next you need to modify your PersistentVolumeClaim to set ReadWriteOncePod as the only access mode. You should also set the PersistentVolumeClaim's spec.volumeName to the name of your PersistentVolume


Prompt:
Complete this text code:

# IMPORTANT: Make sure to edit your PVC in cat-pictures-pvc.yaml before applying. You need to:
# - Set ReadWriteOncePod as the only access mode
# - Set spec.volumeName to "cat-pictures-pv"

Response:
kubectl apply -f cat-pictures-pvc.yaml
kubectl apply -f cat-pictures-writer-deployment.yaml

Context: Change the Access Mode of a PersistentVolume to ReadWriteOncePod | Lastly you may edit your PersistentVolume's spec.persistentVolumeReclaimPolicy and set to it back to Delete if you previously changed it.


Prompt:
Explain this text code:

# IMPORTANT: Make sure to edit your PVC in cat-pictures-pvc.yaml before applying. You need to:
# - Set ReadWriteOncePod as the only access mode
# - Set spec.volumeName to "cat-pictures-pv"

kubectl apply -f cat-pictures-pvc.yaml
kubectl apply -f cat-pictures-writer-deployment.yaml

Response: This text code Change the Access Mode of a PersistentVolume to ReadWriteOncePod | Lastly you may edit your PersistentVolume's spec.persistentVolumeReclaimPolicy and set to it back to Delete if you previously changed it.


Prompt:
Explain this bash code:

kubectl patch pv cat-pictures-pv -p '{"spec":{"persistentVolumeReclaimPolicy":"Delete"}}'

Response: This bash code Change the Access Mode of a PersistentVolume to ReadWriteOncePod |

Context: Change the Access Mode of a PersistentVolume to ReadWriteOncePod |


Prompt:
Explain this shell code:

kubectl get pvc cat-pictures-pvc -o jsonpath='{.spec.volumeName}'

Response: This shell code Change the Access Mode of a PersistentVolume to ReadWriteOncePod | And you can view the PVC before you make changes. Either view the manifest locally, or run kubectl get pvc <name-of-pvc> -o yaml. The output is similar to:


Prompt:
Complete this yaml code:

# cat-pictures-pvc.yaml
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
  name: cat-pictures-pvc

Response:
spec:
  accessModes:
  - ReadWriteOnce
  resources:
    requests:
      storage: 1Gi


Prompt:
Explain this yaml code:

# cat-pictures-pvc.yaml
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
  name: cat-pictures-pvc
spec:
  accessModes:
  - ReadWriteOnce
  resources:
    requests:
      storage: 1Gi

Response: This yaml code Change the Access Mode of a PersistentVolume to ReadWriteOncePod | Here's an example Deployment that relies on that PersistentVolumeClaim:


Prompt:
Complete this yaml code:

# cat-pictures-writer-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: cat-pictures-writer
spec:
  replicas: 3
  selector:
    matchLabels:
      app: cat-pictures-writer
  template:
    metadata:
      labels:
        app: cat-pictures-writer

Response:
    spec:
      containers:
      - name: nginx
        image: nginx:1.14.2
        ports:
        - containerPort: 80
        volumeMounts:
        - name: cat-pictures
          mountPath: /mnt
      volumes:
      - name: cat-pictures
        persistentVolumeClaim:
          claimName: cat-pictures-pvc
          readOnly: false


Prompt:
Explain this yaml code:

# cat-pictures-writer-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: cat-pictures-writer
spec:
  replicas: 3
  selector:
    matchLabels:
      app: cat-pictures-writer
  template:
    metadata:
      labels:
        app: cat-pictures-writer
    spec:
      containers:
      - name: nginx
        image: nginx:1.14.2
        ports:
        - containerPort: 80
        volumeMounts:
        - name: cat-pictures
          mountPath: /mnt
      volumes:
      - name: cat-pictures
        persistentVolumeClaim:
          claimName: cat-pictures-pvc
          readOnly: false

Response: This yaml code Change the Access Mode of a PersistentVolume to ReadWriteOncePod | As a first step, you need to edit your PersistentVolume's spec.persistentVolumeReclaimPolicy and set it to Retain. This ensures your PersistentVolume will not be deleted when you delete the correspond


Prompt:
Explain this shell code:

kubectl patch pv cat-pictures-pv -p '{"spec":{"persistentVolumeReclaimPolicy":"Retain"}}'

Response: This shell code Change the Access Mode of a PersistentVolume to ReadWriteOncePod | Next you need to stop any workloads that are using the PersistentVolumeClaim bound to the PersistentVolume you want to migrate, and then delete the PersistentVolumeClaim. Avoid making any other change


Prompt:
Explain this shell code:

kubectl scale --replicas=0 deployment cat-pictures-writer
kubectl delete pvc cat-pictures-pvc
kubectl patch pv cat-pictures-pv -p '{"spec":{"claimRef":{"uid":""}}}'

Response: This shell code Change the Access Mode of a PersistentVolume to ReadWriteOncePod | After that, replace the PersistentVolume's list of valid access modes to be (only) ReadWriteOncePod:


Prompt:
Explain this shell code:

kubectl patch pv cat-pictures-pv -p '{"spec":{"accessModes":["ReadWriteOncePod"]}}'

Response: This shell code Change the Access Mode of a PersistentVolume to ReadWriteOncePod | Next you need to modify your PersistentVolumeClaim to set ReadWriteOncePod as the only access mode. You should also set the PersistentVolumeClaim's spec.volumeName to the name of your PersistentVolume


Prompt:
Complete this shell code:

# IMPORTANT: Make sure to edit your PVC in cat-pictures-pvc.yaml before applying. You need to:
# - Set ReadWriteOncePod as the only access mode
# - Set spec.volumeName to "cat-pictures-pv"

Response:
kubectl apply -f cat-pictures-pvc.yaml
kubectl apply -f cat-pictures-writer-deployment.yaml


Prompt:
Explain this shell code:

# IMPORTANT: Make sure to edit your PVC in cat-pictures-pvc.yaml before applying. You need to:
# - Set ReadWriteOncePod as the only access mode
# - Set spec.volumeName to "cat-pictures-pv"

kubectl apply -f cat-pictures-pvc.yaml
kubectl apply -f cat-pictures-writer-deployment.yaml

Response: This shell code Change the Access Mode of a PersistentVolume to ReadWriteOncePod | Lastly you may edit your PersistentVolume's spec.persistentVolumeReclaimPolicy and set to it back to Delete if you previously changed it.


Prompt:
Explain this shell code:

kubectl patch pv cat-pictures-pv -p '{"spec":{"persistentVolumeReclaimPolicy":"Delete"}}'

Response: This shell code Change the Access Mode of a PersistentVolume to ReadWriteOncePod |


Prompt:
Explain this bash code:

kubectl get pvc cat-pictures-pvc -o jsonpath='{.spec.volumeName}'

Response: This bash code Change the Access Mode of a PersistentVolume to ReadWriteOncePod | And you can view the PVC before you make changes. Either view the manifest locally, or run kubectl get pvc <name-of-pvc> -o yaml. The output is similar to:


Prompt:
Complete this yaml code:

# cat-pictures-pvc.yaml
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
  name: cat-pictures-pvc

Response:
spec:
  accessModes:
  - ReadWriteOnce
  resources:
    requests:
      storage: 1Gi


Prompt:
Explain this yaml code:

# cat-pictures-pvc.yaml
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
  name: cat-pictures-pvc
spec:
  accessModes:
  - ReadWriteOnce
  resources:
    requests:
      storage: 1Gi

Response: This yaml code Change the Access Mode of a PersistentVolume to ReadWriteOncePod | Here's an example Deployment that relies on that PersistentVolumeClaim:


Prompt:
Complete this yaml code:

# cat-pictures-writer-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: cat-pictures-writer
spec:
  replicas: 3
  selector:
    matchLabels:
      app: cat-pictures-writer
  template:
    metadata:
      labels:
        app: cat-pictures-writer

Response:
    spec:
      containers:
      - name: nginx
        image: nginx:1.14.2
        ports:
        - containerPort: 80
        volumeMounts:
        - name: cat-pictures
          mountPath: /mnt
      volumes:
      - name: cat-pictures
        persistentVolumeClaim:
          claimName: cat-pictures-pvc
          readOnly: false


Prompt:
Explain this yaml code:

# cat-pictures-writer-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: cat-pictures-writer
spec:
  replicas: 3
  selector:
    matchLabels:
      app: cat-pictures-writer
  template:
    metadata:
      labels:
        app: cat-pictures-writer
    spec:
      containers:
      - name: nginx
        image: nginx:1.14.2
        ports:
        - containerPort: 80
        volumeMounts:
        - name: cat-pictures
          mountPath: /mnt
      volumes:
      - name: cat-pictures
        persistentVolumeClaim:
          claimName: cat-pictures-pvc
          readOnly: false

Response: This yaml code Change the Access Mode of a PersistentVolume to ReadWriteOncePod | As a first step, you need to edit your PersistentVolume's spec.persistentVolumeReclaimPolicy and set it to Retain. This ensures your PersistentVolume will not be deleted when you delete the correspond


Prompt:
Explain this bash code:

kubectl patch pv cat-pictures-pv -p '{"spec":{"persistentVolumeReclaimPolicy":"Retain"}}'

Response: This bash code Change the Access Mode of a PersistentVolume to ReadWriteOncePod | Next you need to stop any workloads that are using the PersistentVolumeClaim bound to the PersistentVolume you want to migrate, and then delete the PersistentVolumeClaim. Avoid making any other change


Prompt:
Explain this bash code:

kubectl scale --replicas=0 deployment cat-pictures-writer
kubectl delete pvc cat-pictures-pvc
kubectl patch pv cat-pictures-pv -p '{"spec":{"claimRef":{"uid":""}}}'

Response: This bash code Change the Access Mode of a PersistentVolume to ReadWriteOncePod | After that, replace the PersistentVolume's list of valid access modes to be (only) ReadWriteOncePod:


Prompt:
Explain this bash code:

kubectl patch pv cat-pictures-pv -p '{"spec":{"accessModes":["ReadWriteOncePod"]}}'

Response: This bash code Change the Access Mode of a PersistentVolume to ReadWriteOncePod | Next you need to modify your PersistentVolumeClaim to set ReadWriteOncePod as the only access mode. You should also set the PersistentVolumeClaim's spec.volumeName to the name of your PersistentVolume


Prompt:
Complete this text code:

# IMPORTANT: Make sure to edit your PVC in cat-pictures-pvc.yaml before applying. You need to:
# - Set ReadWriteOncePod as the only access mode
# - Set spec.volumeName to "cat-pictures-pv"

Response:
kubectl apply -f cat-pictures-pvc.yaml
kubectl apply -f cat-pictures-writer-deployment.yaml


Prompt:
Explain this text code:

# IMPORTANT: Make sure to edit your PVC in cat-pictures-pvc.yaml before applying. You need to:
# - Set ReadWriteOncePod as the only access mode
# - Set spec.volumeName to "cat-pictures-pv"

kubectl apply -f cat-pictures-pvc.yaml
kubectl apply -f cat-pictures-writer-deployment.yaml

Response: This text code Change the Access Mode of a PersistentVolume to ReadWriteOncePod | Lastly you may edit your PersistentVolume's spec.persistentVolumeReclaimPolicy and set to it back to Delete if you previously changed it.


Prompt:
Explain this bash code:

kubectl patch pv cat-pictures-pv -p '{"spec":{"persistentVolumeReclaimPolicy":"Delete"}}'

Response: This bash code Change the Access Mode of a PersistentVolume to ReadWriteOncePod |


Prompt:
Complete this text code:

resizePolicy:
    - resourceName: cpu

Response:
      restartPolicy: NotRequired
    - resourceName: memory
      restartPolicy: RestartContainer

Context: Resize CPU and Memory Resources assigned to Containers | If resizePolicy[*].restartPolicy is not specified for a resource, it defaults to NotRequired.


Prompt:
Explain this text code:

resizePolicy:
    - resourceName: cpu
      restartPolicy: NotRequired
    - resourceName: memory
      restartPolicy: RestartContainer

Response: This text code Resize CPU and Memory Resources assigned to Containers | If resizePolicy[*].restartPolicy is not specified for a resource, it defaults to NotRequired.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: resize-demo
spec:
  containers:
  - name: pause
    image: registry.k8s.io/pause:3.8
    resizePolicy:
    - resourceName: cpu

Response:
      restartPolicy: NotRequired # Default, but explicit here
    - resourceName: memory
      restartPolicy: RestartContainer
    resources:
      limits:
        memory: "200Mi"
        cpu: "700m"
      requests:
        memory: "200Mi"
        cpu: "700m"

Context: Resize CPU and Memory Resources assigned to Containers | Create the pod:


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: resize-demo
spec:
  containers:
  - name: pause
    image: registry.k8s.io/pause:3.8
    resizePolicy:
    - resourceName: cpu
      restartPolicy: NotRequired # Default, but explicit here
    - resourceName: memory
      restartPolicy: RestartContainer
    resources:
      limits:
        memory: "200Mi"
        cpu: "700m"
      requests:
        memory: "200Mi"
        cpu: "700m"

Response: This yaml code Resize CPU and Memory Resources assigned to Containers | Create the pod:


Prompt:
Explain this text code:

# Wait a moment for the pod to be running
kubectl get pod resize-demo --output=yaml

Response: This text code Resize CPU and Memory Resources assigned to Containers | Observe the spec.containers[0].resources and status.containerStatuses[0].resources. They should match the manifest (700m CPU, 200Mi memory). Note the status.containerStatuses[0].restartCount (should b

Context: Resize CPU and Memory Resources assigned to Containers | Observe the spec.containers[0].resources and status.containerStatuses[0].resources. They should match the manifest (700m CPU, 200Mi memory). Note the status.containerStatuses[0].restartCount (should b


Prompt:
Complete this bash code:

kubectl patch pod resize-demo --subresource resize --patch \
  '{"spec":{"containers":[{"name":"pause", "resources":{"requests":{"cpu":"800m"}, "limits":{"cpu":"800m"}}}]}}'

Response:
# Alternative methods:
# kubectl -n qos-example edit pod resize-demo --subresource resize
# kubectl -n qos-example apply -f <updated-manifest> --subresource resize --server-side

Context: Resize CPU and Memory Resources assigned to Containers | Check the pod status again after patching:


Prompt:
Explain this bash code:

kubectl patch pod resize-demo --subresource resize --patch \
  '{"spec":{"containers":[{"name":"pause", "resources":{"requests":{"cpu":"800m"}, "limits":{"cpu":"800m"}}}]}}'

# Alternative methods:
# kubectl -n qos-example edit pod resize-demo --subresource resize
# kubectl -n qos-example apply -f <updated-manifest> --subresource resize --server-side

Response: This bash code Resize CPU and Memory Resources assigned to Containers | Check the pod status again after patching:


Prompt:
Explain this bash code:

kubectl get pod resize-demo --output=yaml --namespace=qos-example

Response: This bash code Resize CPU and Memory Resources assigned to Containers | You should see:

Context: Resize CPU and Memory Resources assigned to Containers | You should see:


Prompt:
Explain this bash code:

kubectl patch pod resize-demo --subresource resize --patch \
  '{"spec":{"containers":[{"name":"pause", "resources":{"requests":{"memory":"300Mi"}, "limits":{"memory":"300Mi"}}}]}}'

Response: This bash code Resize CPU and Memory Resources assigned to Containers | Check the pod status shortly after patching:

Context: Resize CPU and Memory Resources assigned to Containers | Check the pod status shortly after patching:


Prompt:
Explain this text code:

# Attempt to patch with an excessively large CPU request
kubectl patch pod resize-demo --subresource resize --patch \
  '{"spec":{"containers":[{"name":"pause", "resources":{"requests":{"cpu":"1000"}, "limits":{"cpu":"1000"}}}]}}'

Response: This text code Resize CPU and Memory Resources assigned to Containers | Query the Pod's details:

Context: Resize CPU and Memory Resources assigned to Containers | Query the Pod's details:


Prompt:
Complete this yaml code:

resizePolicy:
    - resourceName: cpu

Response:
      restartPolicy: NotRequired
    - resourceName: memory
      restartPolicy: RestartContainer


Prompt:
Explain this yaml code:

resizePolicy:
    - resourceName: cpu
      restartPolicy: NotRequired
    - resourceName: memory
      restartPolicy: RestartContainer

Response: This yaml code Resize CPU and Memory Resources assigned to Containers | If resizePolicy[*].restartPolicy is not specified for a resource, it defaults to NotRequired.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: resize-demo
spec:
  containers:
  - name: pause
    image: registry.k8s.io/pause:3.8
    resizePolicy:
    - resourceName: cpu

Response:
      restartPolicy: NotRequired # Default, but explicit here
    - resourceName: memory
      restartPolicy: RestartContainer
    resources:
      limits:
        memory: "200Mi"
        cpu: "700m"
      requests:
        memory: "200Mi"
        cpu: "700m"


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: resize-demo
spec:
  containers:
  - name: pause
    image: registry.k8s.io/pause:3.8
    resizePolicy:
    - resourceName: cpu
      restartPolicy: NotRequired # Default, but explicit here
    - resourceName: memory
      restartPolicy: RestartContainer
    resources:
      limits:
        memory: "200Mi"
        cpu: "700m"
      requests:
        memory: "200Mi"
        cpu: "700m"

Response: This yaml code Resize CPU and Memory Resources assigned to Containers | Create the pod:


Prompt:
Explain this shell code:

# Wait a moment for the pod to be running
kubectl get pod resize-demo --output=yaml

Response: This shell code Resize CPU and Memory Resources assigned to Containers | Observe the spec.containers[0].resources and status.containerStatuses[0].resources. They should match the manifest (700m CPU, 200Mi memory). Note the status.containerStatuses[0].restartCount (should b


Prompt:
Complete this shell code:

kubectl patch pod resize-demo --subresource resize --patch \
  '{"spec":{"containers":[{"name":"pause", "resources":{"requests":{"cpu":"800m"}, "limits":{"cpu":"800m"}}}]}}'

Response:
# Alternative methods:
# kubectl -n qos-example edit pod resize-demo --subresource resize
# kubectl -n qos-example apply -f <updated-manifest> --subresource resize --server-side


Prompt:
Explain this shell code:

kubectl patch pod resize-demo --subresource resize --patch \
  '{"spec":{"containers":[{"name":"pause", "resources":{"requests":{"cpu":"800m"}, "limits":{"cpu":"800m"}}}]}}'

# Alternative methods:
# kubectl -n qos-example edit pod resize-demo --subresource resize
# kubectl -n qos-example apply -f <updated-manifest> --subresource resize --server-side

Response: This shell code Resize CPU and Memory Resources assigned to Containers | Check the pod status again after patching:


Prompt:
Explain this shell code:

kubectl get pod resize-demo --output=yaml --namespace=qos-example

Response: This shell code Resize CPU and Memory Resources assigned to Containers | You should see:


Prompt:
Explain this shell code:

kubectl patch pod resize-demo --subresource resize --patch \
  '{"spec":{"containers":[{"name":"pause", "resources":{"requests":{"memory":"300Mi"}, "limits":{"memory":"300Mi"}}}]}}'

Response: This shell code Resize CPU and Memory Resources assigned to Containers | Check the pod status shortly after patching:


Prompt:
Explain this shell code:

# Attempt to patch with an excessively large CPU request
kubectl patch pod resize-demo --subresource resize --patch \
  '{"spec":{"containers":[{"name":"pause", "resources":{"requests":{"cpu":"1000"}, "limits":{"cpu":"1000"}}}]}}'

Response: This shell code Resize CPU and Memory Resources assigned to Containers | Query the Pod's details:


Prompt:
Explain this text code:

Node didn't have enough capacity: cpu, requested: 800000, capacity: ...

Response: This text code Resize CPU and Memory Resources assigned to Containers | To fix this, you would need to patch the pod again with feasible resource values.

Context: Resize CPU and Memory Resources assigned to Containers | To fix this, you would need to patch the pod again with feasible resource values.


Prompt:
Complete this text code:

resizePolicy:
    - resourceName: cpu

Response:
      restartPolicy: NotRequired
    - resourceName: memory
      restartPolicy: RestartContainer


Prompt:
Explain this text code:

resizePolicy:
    - resourceName: cpu
      restartPolicy: NotRequired
    - resourceName: memory
      restartPolicy: RestartContainer

Response: This text code Resize CPU and Memory Resources assigned to Containers | If resizePolicy[*].restartPolicy is not specified for a resource, it defaults to NotRequired.


Prompt:
Complete this yaml code:

pods/resource/pod-resize.yaml
apiVersion: v1
kind: Pod
metadata:
  name: resize-demo
spec:
  containers:
  - name: pause
    image: registry.k8s.io/pause:3.8
    resizePolicy:

Response:
    - resourceName: cpu
      restartPolicy: NotRequired # Default, but explicit here
    - resourceName: memory
      restartPolicy: RestartContainer
    resources:
      limits:
        memory: "200Mi"
        cpu: "700m"
      requests:
        memory: "200Mi"
        cpu: "700m"


Prompt:
Explain this yaml code:

pods/resource/pod-resize.yaml
apiVersion: v1
kind: Pod
metadata:
  name: resize-demo
spec:
  containers:
  - name: pause
    image: registry.k8s.io/pause:3.8
    resizePolicy:
    - resourceName: cpu
      restartPolicy: NotRequired # Default, but explicit here
    - resourceName: memory
      restartPolicy: RestartContainer
    resources:
      limits:
        memory: "200Mi"
        cpu: "700m"
      requests:
        memory: "200Mi"
        cpu: "700m"

Response: This yaml code Resize CPU and Memory Resources assigned to Containers | Create the pod:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: resize-demo
spec:
  containers:
  - name: pause
    image: registry.k8s.io/pause:3.8
    resizePolicy:
    - resourceName: cpu

Response:
      restartPolicy: NotRequired # Default, but explicit here
    - resourceName: memory
      restartPolicy: RestartContainer
    resources:
      limits:
        memory: "200Mi"
        cpu: "700m"
      requests:
        memory: "200Mi"
        cpu: "700m"


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: resize-demo
spec:
  containers:
  - name: pause
    image: registry.k8s.io/pause:3.8
    resizePolicy:
    - resourceName: cpu
      restartPolicy: NotRequired # Default, but explicit here
    - resourceName: memory
      restartPolicy: RestartContainer
    resources:
      limits:
        memory: "200Mi"
        cpu: "700m"
      requests:
        memory: "200Mi"
        cpu: "700m"

Response: This yaml code Resize CPU and Memory Resources assigned to Containers | Create the pod:


Prompt:
Explain this text code:

# Wait a moment for the pod to be running
kubectl get pod resize-demo --output=yaml

Response: This text code Resize CPU and Memory Resources assigned to Containers | Observe the spec.containers[0].resources and status.containerStatuses[0].resources. They should match the manifest (700m CPU, 200Mi memory). Note the status.containerStatuses[0].restartCount (should b


Prompt:
Complete this bash code:

kubectl patch pod resize-demo --subresource resize --patch \
  '{"spec":{"containers":[{"name":"pause", "resources":{"requests":{"cpu":"800m"}, "limits":{"cpu":"800m"}}}]}}'

Response:
# Alternative methods:
# kubectl -n qos-example edit pod resize-demo --subresource resize
# kubectl -n qos-example apply -f <updated-manifest> --subresource resize --server-side


Prompt:
Explain this bash code:

kubectl patch pod resize-demo --subresource resize --patch \
  '{"spec":{"containers":[{"name":"pause", "resources":{"requests":{"cpu":"800m"}, "limits":{"cpu":"800m"}}}]}}'

# Alternative methods:
# kubectl -n qos-example edit pod resize-demo --subresource resize
# kubectl -n qos-example apply -f <updated-manifest> --subresource resize --server-side

Response: This bash code Resize CPU and Memory Resources assigned to Containers | Check the pod status again after patching:


Prompt:
Explain this bash code:

kubectl get pod resize-demo --output=yaml --namespace=qos-example

Response: This bash code Resize CPU and Memory Resources assigned to Containers | You should see:


Prompt:
Explain this bash code:

kubectl patch pod resize-demo --subresource resize --patch \
  '{"spec":{"containers":[{"name":"pause", "resources":{"requests":{"memory":"300Mi"}, "limits":{"memory":"300Mi"}}}]}}'

Response: This bash code Resize CPU and Memory Resources assigned to Containers | Check the pod status shortly after patching:


Prompt:
Explain this text code:

# Attempt to patch with an excessively large CPU request
kubectl patch pod resize-demo --subresource resize --patch \
  '{"spec":{"containers":[{"name":"pause", "resources":{"requests":{"cpu":"1000"}, "limits":{"cpu":"1000"}}}]}}'

Response: This text code Resize CPU and Memory Resources assigned to Containers | Query the Pod's details:


Prompt:
Complete this yaml code:

apiVersion: kubelet.config.k8s.io/v1beta1
kind: KubeletConfiguration

Response:
clusterDNS:
- 10.96.0.10

Context: Configuring each kubelet in your cluster using kubeadm | For more details on the KubeletConfiguration have a look at this section.


Prompt:
Explain this yaml code:

apiVersion: kubelet.config.k8s.io/v1beta1
kind: KubeletConfiguration
clusterDNS:
- 10.96.0.10

Response: This yaml code Configuring each kubelet in your cluster using kubeadm | For more details on the KubeletConfiguration have a look at this section.


Prompt:
Explain this text code:

KUBELET_KUBEADM_ARGS="--flag1=value1 --flag2=value2 ..."

Response: This text code Configuring each kubelet in your cluster using kubeadm | In addition to the flags used when starting the kubelet, the file also contains dynamic parameters such as the cgroup driver.

Context: Configuring each kubelet in your cluster using kubeadm | In addition to the flags used when starting the kubelet, the file also contains dynamic parameters such as the cgroup driver.


Prompt:
Explain this text code:

systemctl daemon-reload && systemctl restart kubelet

Response: This text code Configuring each kubelet in your cluster using kubeadm | If the reload and restart are successful, the normal kubeadm init workflow continues.

Context: Configuring each kubelet in your cluster using kubeadm | If the reload and restart are successful, the normal kubeadm init workflow continues.


Prompt:
Explain this text code:

systemctl daemon-reload && systemctl restart kubelet

Response: This text code Configuring each kubelet in your cluster using kubeadm | After the kubelet loads the new configuration, kubeadm writes the /etc/kubernetes/bootstrap-kubelet.conf KubeConfig file, which contains a CA certificate and Bootstrap Token. These are used by the kub

Context: Configuring each kubelet in your cluster using kubeadm | After the kubelet loads the new configuration, kubeadm writes the /etc/kubernetes/bootstrap-kubelet.conf KubeConfig file, which contains a CA certificate and Bootstrap Token. These are used by the kub


Prompt:
Complete this json code:

[Service]
Environment="KUBELET_KUBECONFIG_ARGS=--bootstrap-kubeconfig=/etc/kubernetes/bootstrap-kubelet.conf --kubeconfig=/etc/kubernetes/kubelet.conf"
Environment="KUBELET_CONFIG_ARGS=--config=/var/lib/kubelet/config.yaml"
# This is a file that "kubeadm init" and "kubeadm join" generate at runtime, populating
# the KUBELET_KUBEADM_ARGS variable dynamically
EnvironmentFile=-/var/lib/kubelet/kubeadm-flags.env

Response:
# This is a file that the user can use for overrides of the kubelet args as a last resort. Preferably,
# the user should use the .NodeRegistration.KubeletExtraArgs object in the configuration files instead.
# KUBELET_EXTRA_ARGS should be sourced from this file.
EnvironmentFile=-/etc/default/kubelet
ExecStart=
ExecStart=/usr/bin/kubelet $KUBELET_KUBECONFIG_ARGS $KUBELET_CONFIG_ARGS $KUBELET_KUBEADM_ARGS $KUBELET_EXTRA_ARGS

Context: Configuring each kubelet in your cluster using kubeadm | This file specifies the default locations for all of the files managed by kubeadm for the kubelet.


Prompt:
Explain this json code:

[Service]
Environment="KUBELET_KUBECONFIG_ARGS=--bootstrap-kubeconfig=/etc/kubernetes/bootstrap-kubelet.conf --kubeconfig=/etc/kubernetes/kubelet.conf"
Environment="KUBELET_CONFIG_ARGS=--config=/var/lib/kubelet/config.yaml"
# This is a file that "kubeadm init" and "kubeadm join" generate at runtime, populating
# the KUBELET_KUBEADM_ARGS variable dynamically
EnvironmentFile=-/var/lib/kubelet/kubeadm-flags.env
# This is a file that the user can use for overrides of the kubelet args as a last resort. Preferably,
# the user should use the .NodeRegistration.KubeletExtraArgs object in the configuration files instead.
# KUBELET_EXTRA_ARGS should be sourced from this file.
EnvironmentFile=-/etc/default/kubelet
ExecStart=
ExecStart=/usr/bin/kubelet $KUBELET_KUBECONFIG_ARGS $KUBELET_CONFIG_ARGS $KUBELET_KUBEADM_ARGS $KUBELET_EXTRA_ARGS

Response: This json code Configuring each kubelet in your cluster using kubeadm | This file specifies the default locations for all of the files managed by kubeadm for the kubelet.


Prompt:
Complete this yaml code:

apiVersion: kubelet.config.k8s.io/v1beta1
kind: KubeletConfiguration

Response:
clusterDNS:
- 10.96.0.10


Prompt:
Explain this yaml code:

apiVersion: kubelet.config.k8s.io/v1beta1
kind: KubeletConfiguration
clusterDNS:
- 10.96.0.10

Response: This yaml code Configuring each kubelet in your cluster using kubeadm | For more details on the KubeletConfiguration have a look at this section.


Prompt:
Explain this text code:

kubeadm config print init-defaults --component-configs KubeletConfiguration

Response: This text code Configuring each kubelet in your cluster using kubeadm | It is also possible to apply instance-specific patches over the base KubeletConfiguration. Have a look at Customizing the kubelet for more details.

Context: Configuring each kubelet in your cluster using kubeadm | It is also possible to apply instance-specific patches over the base KubeletConfiguration. Have a look at Customizing the kubelet for more details.


Prompt:
Explain this bash code:

KUBELET_KUBEADM_ARGS="--flag1=value1 --flag2=value2 ..."

Response: This bash code Configuring each kubelet in your cluster using kubeadm | In addition to the flags used when starting the kubelet, the file also contains dynamic parameters such as the cgroup driver.


Prompt:
Explain this bash code:

systemctl daemon-reload && systemctl restart kubelet

Response: This bash code Configuring each kubelet in your cluster using kubeadm | If the reload and restart are successful, the normal kubeadm init workflow continues.


Prompt:
Explain this bash code:

systemctl daemon-reload && systemctl restart kubelet

Response: This bash code Configuring each kubelet in your cluster using kubeadm | After the kubelet loads the new configuration, kubeadm writes the /etc/kubernetes/bootstrap-kubelet.conf KubeConfig file, which contains a CA certificate and Bootstrap Token. These are used by the kub


Prompt:
Explain this text code:

/usr/lib/systemd/system/kubelet.service.d/10-kubeadm.conf

Response: This text code Configuring each kubelet in your cluster using kubeadm | If you want to override that further, you can make a directory /etc/systemd/system/kubelet.service.d/ (not /usr/lib/systemd/system/kubelet.service.d/) and put your own customizations into a file there

Context: Configuring each kubelet in your cluster using kubeadm | If you want to override that further, you can make a directory /etc/systemd/system/kubelet.service.d/ (not /usr/lib/systemd/system/kubelet.service.d/) and put your own customizations into a file there


Prompt:
Explain this text code:

/etc/systemd/system/kubelet.service.d/local-overrides.conf

Response: This text code Configuring each kubelet in your cluster using kubeadm | Here is what you are likely to find in /usr/lib/systemd/system/kubelet.service.d/10-kubeadm.conf:

Context: Configuring each kubelet in your cluster using kubeadm | Here is what you are likely to find in /usr/lib/systemd/system/kubelet.service.d/10-kubeadm.conf:


Prompt:
Explain this text code:

/usr/lib/systemd/system/kubelet.service.d/10-kubeadm.conf

Response: This text code Configuring each kubelet in your cluster using kubeadm | This file specifies the default locations for all of the files managed by kubeadm for the kubelet.


Prompt:
Complete this none code:

[Service]
Environment="KUBELET_KUBECONFIG_ARGS=--bootstrap-kubeconfig=/etc/kubernetes/bootstrap-kubelet.conf --kubeconfig=/etc/kubernetes/kubelet.conf"
Environment="KUBELET_CONFIG_ARGS=--config=/var/lib/kubelet/config.yaml"
# This is a file that "kubeadm init" and "kubeadm join" generate at runtime, populating
# the KUBELET_KUBEADM_ARGS variable dynamically
EnvironmentFile=-/var/lib/kubelet/kubeadm-flags.env

Response:
# This is a file that the user can use for overrides of the kubelet args as a last resort. Preferably,
# the user should use the .NodeRegistration.KubeletExtraArgs object in the configuration files instead.
# KUBELET_EXTRA_ARGS should be sourced from this file.
EnvironmentFile=-/etc/default/kubelet
ExecStart=
ExecStart=/usr/bin/kubelet $KUBELET_KUBECONFIG_ARGS $KUBELET_CONFIG_ARGS $KUBELET_KUBEADM_ARGS $KUBELET_EXTRA_ARGS


Prompt:
Explain this none code:

[Service]
Environment="KUBELET_KUBECONFIG_ARGS=--bootstrap-kubeconfig=/etc/kubernetes/bootstrap-kubelet.conf --kubeconfig=/etc/kubernetes/kubelet.conf"
Environment="KUBELET_CONFIG_ARGS=--config=/var/lib/kubelet/config.yaml"
# This is a file that "kubeadm init" and "kubeadm join" generate at runtime, populating
# the KUBELET_KUBEADM_ARGS variable dynamically
EnvironmentFile=-/var/lib/kubelet/kubeadm-flags.env
# This is a file that the user can use for overrides of the kubelet args as a last resort. Preferably,
# the user should use the .NodeRegistration.KubeletExtraArgs object in the configuration files instead.
# KUBELET_EXTRA_ARGS should be sourced from this file.
EnvironmentFile=-/etc/default/kubelet
ExecStart=
ExecStart=/usr/bin/kubelet $KUBELET_KUBECONFIG_ARGS $KUBELET_CONFIG_ARGS $KUBELET_KUBEADM_ARGS $KUBELET_EXTRA_ARGS

Response: This none code Configuring each kubelet in your cluster using kubeadm | This file specifies the default locations for all of the files managed by kubeadm for the kubelet.


Prompt:
Complete this yaml code:

apiVersion: kubelet.config.k8s.io/v1beta1
kind: KubeletConfiguration

Response:
clusterDNS:
- 10.96.0.10


Prompt:
Explain this yaml code:

apiVersion: kubelet.config.k8s.io/v1beta1
kind: KubeletConfiguration
clusterDNS:
- 10.96.0.10

Response: This yaml code Configuring each kubelet in your cluster using kubeadm | For more details on the KubeletConfiguration have a look at this section.


Prompt:
Explain this text code:

KUBELET_KUBEADM_ARGS="--flag1=value1 --flag2=value2 ..."

Response: This text code Configuring each kubelet in your cluster using kubeadm | In addition to the flags used when starting the kubelet, the file also contains dynamic parameters such as the cgroup driver.


Prompt:
Explain this text code:

systemctl daemon-reload && systemctl restart kubelet

Response: This text code Configuring each kubelet in your cluster using kubeadm | If the reload and restart are successful, the normal kubeadm init workflow continues.


Prompt:
Explain this text code:

systemctl daemon-reload && systemctl restart kubelet

Response: This text code Configuring each kubelet in your cluster using kubeadm | After the kubelet loads the new configuration, kubeadm writes the /etc/kubernetes/bootstrap-kubelet.conf KubeConfig file, which contains a CA certificate and Bootstrap Token. These are used by the kub


Prompt:
Explain this text code:

main_menu: true
title: Page Title
linkTitle: Title used in links

Response: This text code Content organization | The documentation side-bar menu is built from the current section tree starting below docs/.

Context: Content organization | The documentation side-bar menu is built from the current section tree starting below docs/.


Prompt:
Complete this text code:

en/docs/home/contribute/includes
├── example1.md

Response:
├── example2.md
├── index.md
└── podtemplate.json

Context: Content organization | Another widely used example is the includes bundle. It sets headless: true in front matter, which means that it does not get its own URL. It is only used in other pages.


Prompt:
Explain this text code:

en/docs/home/contribute/includes
├── example1.md
├── example2.md
├── index.md
└── podtemplate.json

Response: This text code Content organization | Another widely used example is the includes bundle. It sets headless: true in front matter, which means that it does not get its own URL. It is only used in other pages.


Prompt:
Complete this text code:

en/includes
├── default-storage-class-prereqs.md
├── index.md
├── partner-script.js

Response:
├── partner-style.css
├── task-tutorial-prereqs.md
├── user-guide-content-moved.md
└── user-guide-migration-notice.md

Context: Content organization | Some important notes to the files in the bundles:


Prompt:
Explain this text code:

en/includes
├── default-storage-class-prereqs.md
├── index.md
├── partner-script.js
├── partner-style.css
├── task-tutorial-prereqs.md
├── user-guide-content-moved.md
└── user-guide-migration-notice.md

Response: This text code Content organization | Some important notes to the files in the bundles:


Prompt:
Explain this yaml code:

main_menu: true
title: Page Title
linkTitle: Title used in links

Response: This yaml code Content organization | The documentation side-bar menu is built from the current section tree starting below docs/.


Prompt:
Complete this bash code:

en/docs/home/contribute/includes
├── example1.md

Response:
├── example2.md
├── index.md
└── podtemplate.json


Prompt:
Explain this bash code:

en/docs/home/contribute/includes
├── example1.md
├── example2.md
├── index.md
└── podtemplate.json

Response: This bash code Content organization | Another widely used example is the includes bundle. It sets headless: true in front matter, which means that it does not get its own URL. It is only used in other pages.


Prompt:
Complete this bash code:

en/includes
├── default-storage-class-prereqs.md
├── index.md
├── partner-script.js

Response:
├── partner-style.css
├── task-tutorial-prereqs.md
├── user-guide-content-moved.md
└── user-guide-migration-notice.md


Prompt:
Explain this bash code:

en/includes
├── default-storage-class-prereqs.md
├── index.md
├── partner-script.js
├── partner-style.css
├── task-tutorial-prereqs.md
├── user-guide-content-moved.md
└── user-guide-migration-notice.md

Response: This bash code Content organization | Some important notes to the files in the bundles:


Prompt:
Explain this text code:

main_menu: true
title: Page Title
linkTitle: Title used in links

Response: This text code Content organization | The documentation side-bar menu is built from the current section tree starting below docs/.


Prompt:
Complete this text code:

en/docs/home/contribute/includes
├── example1.md

Response:
├── example2.md
├── index.md
└── podtemplate.json


Prompt:
Explain this text code:

en/docs/home/contribute/includes
├── example1.md
├── example2.md
├── index.md
└── podtemplate.json

Response: This text code Content organization | Another widely used example is the includes bundle. It sets headless: true in front matter, which means that it does not get its own URL. It is only used in other pages.


Prompt:
Complete this text code:

en/includes
├── default-storage-class-prereqs.md
├── index.md
├── partner-script.js

Response:
├── partner-style.css
├── task-tutorial-prereqs.md
├── user-guide-content-moved.md
└── user-guide-migration-notice.md


Prompt:
Explain this text code:

en/includes
├── default-storage-class-prereqs.md
├── index.md
├── partner-script.js
├── partner-style.css
├── task-tutorial-prereqs.md
├── user-guide-content-moved.md
└── user-guide-migration-notice.md

Response: This text code Content organization | Some important notes to the files in the bundles: