Prompt:
Explain this bash code:

kubectl patch -n kube-system role 'system::leader-locking-cloud-controller-manager' -p '{"rules": [ {"apiGroups":[ "coordination.k8s.io"], "resources": ["leases"], "resourceNames": ["cloud-provider-extraction-migration"], "verbs": ["create", "list", "get", "update"] } ]}' --type=merge`

Response: This bash code Migrate Replicated Control Plane To Use Cloud Controller Manager | Leader Migration optionally takes a configuration file representing the state of controller-to-manager assignment. At this moment, with in-tree cloud provider, kube-controller-manager runs route, serv

Context: Migrate Replicated Control Plane To Use Cloud Controller Manager | Leader Migration optionally takes a configuration file representing the state of controller-to-manager assignment. At this moment, with in-tree cloud provider, kube-controller-manager runs route, serv


Prompt:
Complete this yaml code:

kind: LeaderMigrationConfiguration
apiVersion: controllermanager.config.k8s.io/v1
leaderName: cloud-provider-extraction-migration
resourceLock: leases
controllerLeaders:

Response:
  - name: route
    component: kube-controller-manager
  - name: service
    component: kube-controller-manager
  - name: cloud-node-lifecycle
    component: kube-controller-manager

Context: Migrate Replicated Control Plane To Use Cloud Controller Manager | Alternatively, because the controllers can run under either controller managers, setting component to * for both sides makes the configuration file consistent between both parties of the migration.


Prompt:
Explain this yaml code:

kind: LeaderMigrationConfiguration
apiVersion: controllermanager.config.k8s.io/v1
leaderName: cloud-provider-extraction-migration
resourceLock: leases
controllerLeaders:
  - name: route
    component: kube-controller-manager
  - name: service
    component: kube-controller-manager
  - name: cloud-node-lifecycle
    component: kube-controller-manager

Response: This yaml code Migrate Replicated Control Plane To Use Cloud Controller Manager | Alternatively, because the controllers can run under either controller managers, setting component to * for both sides makes the configuration file consistent between both parties of the migration.


Prompt:
Complete this yaml code:

# wildcard version
kind: LeaderMigrationConfiguration
apiVersion: controllermanager.config.k8s.io/v1
leaderName: cloud-provider-extraction-migration
resourceLock: leases
controllerLeaders:

Response:
  - name: route
    component: *
  - name: service
    component: *
  - name: cloud-node-lifecycle
    component: *

Context: Migrate Replicated Control Plane To Use Cloud Controller Manager | On each control plane node, save the content to /etc/leadermigration.conf, and update the manifest of kube-controller-manager so that the file is mounted inside the container at the same location. Als


Prompt:
Explain this yaml code:

# wildcard version
kind: LeaderMigrationConfiguration
apiVersion: controllermanager.config.k8s.io/v1
leaderName: cloud-provider-extraction-migration
resourceLock: leases
controllerLeaders:
  - name: route
    component: *
  - name: service
    component: *
  - name: cloud-node-lifecycle
    component: *

Response: This yaml code Migrate Replicated Control Plane To Use Cloud Controller Manager | On each control plane node, save the content to /etc/leadermigration.conf, and update the manifest of kube-controller-manager so that the file is mounted inside the container at the same location. Als


Prompt:
Complete this yaml code:

kind: LeaderMigrationConfiguration
apiVersion: controllermanager.config.k8s.io/v1
leaderName: cloud-provider-extraction-migration
resourceLock: leases
controllerLeaders:

Response:
  - name: route
    component: cloud-controller-manager
  - name: service
    component: cloud-controller-manager
  - name: cloud-node-lifecycle
    component: cloud-controller-manager

Context: Migrate Replicated Control Plane To Use Cloud Controller Manager | When creating control plane nodes of version N + 1, the content should be deployed to /etc/leadermigration.conf. The manifest of cloud-controller-manager should be updated to mount the configuration f


Prompt:
Explain this yaml code:

kind: LeaderMigrationConfiguration
apiVersion: controllermanager.config.k8s.io/v1
leaderName: cloud-provider-extraction-migration
resourceLock: leases
controllerLeaders:
  - name: route
    component: cloud-controller-manager
  - name: service
    component: cloud-controller-manager
  - name: cloud-node-lifecycle
    component: cloud-controller-manager

Response: This yaml code Migrate Replicated Control Plane To Use Cloud Controller Manager | When creating control plane nodes of version N + 1, the content should be deployed to /etc/leadermigration.conf. The manifest of cloud-controller-manager should be updated to mount the configuration f


Prompt:
Complete this yaml code:

# wildcard version, with nodeipam
kind: LeaderMigrationConfiguration
apiVersion: controllermanager.config.k8s.io/v1
leaderName: cloud-provider-extraction-migration
resourceLock: leases
controllerLeaders:
  - name: route

Response:
    component: *
  - name: service
    component: *
  - name: cloud-node-lifecycle
    component: *
  - name: nodeipam
-   component: *

Context: Migrate Replicated Control Plane To Use Cloud Controller Manager |


Prompt:
Explain this yaml code:

# wildcard version, with nodeipam
kind: LeaderMigrationConfiguration
apiVersion: controllermanager.config.k8s.io/v1
leaderName: cloud-provider-extraction-migration
resourceLock: leases
controllerLeaders:
  - name: route
    component: *
  - name: service
    component: *
  - name: cloud-node-lifecycle
    component: *
  - name: nodeipam
-   component: *

Response: This yaml code Migrate Replicated Control Plane To Use Cloud Controller Manager |


Prompt:
Explain this shell code:

kubectl patch -n kube-system role 'system::leader-locking-kube-controller-manager' -p '{"rules": [ {"apiGroups":[ "coordination.k8s.io"], "resources": ["leases"], "resourceNames": ["cloud-provider-extraction-migration"], "verbs": ["create", "list", "get", "update"] } ]}' --type=merge`

Response: This shell code Migrate Replicated Control Plane To Use Cloud Controller Manager | Do the same to the system::leader-locking-cloud-controller-manager role.

Context: Migrate Replicated Control Plane To Use Cloud Controller Manager | Do the same to the system::leader-locking-cloud-controller-manager role.


Prompt:
Explain this shell code:

kubectl patch -n kube-system role 'system::leader-locking-cloud-controller-manager' -p '{"rules": [ {"apiGroups":[ "coordination.k8s.io"], "resources": ["leases"], "resourceNames": ["cloud-provider-extraction-migration"], "verbs": ["create", "list", "get", "update"] } ]}' --type=merge`

Response: This shell code Migrate Replicated Control Plane To Use Cloud Controller Manager | Leader Migration optionally takes a configuration file representing the state of controller-to-manager assignment. At this moment, with in-tree cloud provider, kube-controller-manager runs route, serv


Prompt:
Complete this yaml code:

kind: LeaderMigrationConfiguration
apiVersion: controllermanager.config.k8s.io/v1
leaderName: cloud-provider-extraction-migration
resourceLock: leases
controllerLeaders:

Response:
  - name: route
    component: kube-controller-manager
  - name: service
    component: kube-controller-manager
  - name: cloud-node-lifecycle
    component: kube-controller-manager


Prompt:
Explain this yaml code:

kind: LeaderMigrationConfiguration
apiVersion: controllermanager.config.k8s.io/v1
leaderName: cloud-provider-extraction-migration
resourceLock: leases
controllerLeaders:
  - name: route
    component: kube-controller-manager
  - name: service
    component: kube-controller-manager
  - name: cloud-node-lifecycle
    component: kube-controller-manager

Response: This yaml code Migrate Replicated Control Plane To Use Cloud Controller Manager | Alternatively, because the controllers can run under either controller managers, setting component to * for both sides makes the configuration file consistent between both parties of the migration.


Prompt:
Complete this yaml code:

# wildcard version
kind: LeaderMigrationConfiguration
apiVersion: controllermanager.config.k8s.io/v1
leaderName: cloud-provider-extraction-migration
resourceLock: leases
controllerLeaders:

Response:
  - name: route
    component: *
  - name: service
    component: *
  - name: cloud-node-lifecycle
    component: *


Prompt:
Explain this yaml code:

# wildcard version
kind: LeaderMigrationConfiguration
apiVersion: controllermanager.config.k8s.io/v1
leaderName: cloud-provider-extraction-migration
resourceLock: leases
controllerLeaders:
  - name: route
    component: *
  - name: service
    component: *
  - name: cloud-node-lifecycle
    component: *

Response: This yaml code Migrate Replicated Control Plane To Use Cloud Controller Manager | On each control plane node, save the content to /etc/leadermigration.conf, and update the manifest of kube-controller-manager so that the file is mounted inside the container at the same location. Als


Prompt:
Explain this text code:

--leader-migration-config=/etc/leadermigration.conf

Response: This text code Migrate Replicated Control Plane To Use Cloud Controller Manager | Restart kube-controller-manager on each node. At this moment, kube-controller-manager has leader migration enabled and is ready for the migration.

Context: Migrate Replicated Control Plane To Use Cloud Controller Manager | Restart kube-controller-manager on each node. At this moment, kube-controller-manager has leader migration enabled and is ready for the migration.


Prompt:
Complete this yaml code:

kind: LeaderMigrationConfiguration
apiVersion: controllermanager.config.k8s.io/v1
leaderName: cloud-provider-extraction-migration
resourceLock: leases
controllerLeaders:

Response:
  - name: route
    component: cloud-controller-manager
  - name: service
    component: cloud-controller-manager
  - name: cloud-node-lifecycle
    component: cloud-controller-manager


Prompt:
Explain this yaml code:

kind: LeaderMigrationConfiguration
apiVersion: controllermanager.config.k8s.io/v1
leaderName: cloud-provider-extraction-migration
resourceLock: leases
controllerLeaders:
  - name: route
    component: cloud-controller-manager
  - name: service
    component: cloud-controller-manager
  - name: cloud-node-lifecycle
    component: cloud-controller-manager

Response: This yaml code Migrate Replicated Control Plane To Use Cloud Controller Manager | When creating control plane nodes of version N + 1, the content should be deployed to /etc/leadermigration.conf. The manifest of cloud-controller-manager should be updated to mount the configuration f


Prompt:
Explain this text code:

--leader-migration-config=/etc/leadermigration.conf

Response: This text code Migrate Replicated Control Plane To Use Cloud Controller Manager | Create a new control plane node of version N + 1 with the updated cloud-controller-manager manifest, and with the --cloud-provider flag set to external for kube-controller-manager. kube-controller-man

Context: Migrate Replicated Control Plane To Use Cloud Controller Manager | Create a new control plane node of version N + 1 with the updated cloud-controller-manager manifest, and with the --cloud-provider flag set to external for kube-controller-manager. kube-controller-man


Prompt:
Complete this yaml code:

# wildcard version, with nodeipam
kind: LeaderMigrationConfiguration
apiVersion: controllermanager.config.k8s.io/v1
leaderName: cloud-provider-extraction-migration
resourceLock: leases
controllerLeaders:
  - name: route

Response:
    component: *
  - name: service
    component: *
  - name: cloud-node-lifecycle
    component: *
  - name: nodeipam
-   component: *


Prompt:
Explain this yaml code:

# wildcard version, with nodeipam
kind: LeaderMigrationConfiguration
apiVersion: controllermanager.config.k8s.io/v1
leaderName: cloud-provider-extraction-migration
resourceLock: leases
controllerLeaders:
  - name: route
    component: *
  - name: service
    component: *
  - name: cloud-node-lifecycle
    component: *
  - name: nodeipam
-   component: *

Response: This yaml code Migrate Replicated Control Plane To Use Cloud Controller Manager |


Prompt:
Explain this bash code:

kubectl patch -n kube-system role 'system::leader-locking-kube-controller-manager' -p '{"rules": [ {"apiGroups":[ "coordination.k8s.io"], "resources": ["leases"], "resourceNames": ["cloud-provider-extraction-migration"], "verbs": ["create", "list", "get", "update"] } ]}' --type=merge`

Response: This bash code Migrate Replicated Control Plane To Use Cloud Controller Manager | Do the same to the system::leader-locking-cloud-controller-manager role.


Prompt:
Explain this bash code:

kubectl patch -n kube-system role 'system::leader-locking-cloud-controller-manager' -p '{"rules": [ {"apiGroups":[ "coordination.k8s.io"], "resources": ["leases"], "resourceNames": ["cloud-provider-extraction-migration"], "verbs": ["create", "list", "get", "update"] } ]}' --type=merge`

Response: This bash code Migrate Replicated Control Plane To Use Cloud Controller Manager | Leader Migration optionally takes a configuration file representing the state of controller-to-manager assignment. At this moment, with in-tree cloud provider, kube-controller-manager runs route, serv


Prompt:
Complete this yaml code:

kind: LeaderMigrationConfiguration
apiVersion: controllermanager.config.k8s.io/v1
leaderName: cloud-provider-extraction-migration
resourceLock: leases
controllerLeaders:

Response:
  - name: route
    component: kube-controller-manager
  - name: service
    component: kube-controller-manager
  - name: cloud-node-lifecycle
    component: kube-controller-manager


Prompt:
Explain this yaml code:

kind: LeaderMigrationConfiguration
apiVersion: controllermanager.config.k8s.io/v1
leaderName: cloud-provider-extraction-migration
resourceLock: leases
controllerLeaders:
  - name: route
    component: kube-controller-manager
  - name: service
    component: kube-controller-manager
  - name: cloud-node-lifecycle
    component: kube-controller-manager

Response: This yaml code Migrate Replicated Control Plane To Use Cloud Controller Manager | Alternatively, because the controllers can run under either controller managers, setting component to * for both sides makes the configuration file consistent between both parties of the migration.


Prompt:
Complete this yaml code:

# wildcard version
kind: LeaderMigrationConfiguration
apiVersion: controllermanager.config.k8s.io/v1
leaderName: cloud-provider-extraction-migration
resourceLock: leases
controllerLeaders:

Response:
  - name: route
    component: *
  - name: service
    component: *
  - name: cloud-node-lifecycle
    component: *


Prompt:
Explain this yaml code:

# wildcard version
kind: LeaderMigrationConfiguration
apiVersion: controllermanager.config.k8s.io/v1
leaderName: cloud-provider-extraction-migration
resourceLock: leases
controllerLeaders:
  - name: route
    component: *
  - name: service
    component: *
  - name: cloud-node-lifecycle
    component: *

Response: This yaml code Migrate Replicated Control Plane To Use Cloud Controller Manager | On each control plane node, save the content to /etc/leadermigration.conf, and update the manifest of kube-controller-manager so that the file is mounted inside the container at the same location. Als


Prompt:
Complete this yaml code:

kind: LeaderMigrationConfiguration
apiVersion: controllermanager.config.k8s.io/v1
leaderName: cloud-provider-extraction-migration
resourceLock: leases
controllerLeaders:

Response:
  - name: route
    component: cloud-controller-manager
  - name: service
    component: cloud-controller-manager
  - name: cloud-node-lifecycle
    component: cloud-controller-manager


Prompt:
Explain this yaml code:

kind: LeaderMigrationConfiguration
apiVersion: controllermanager.config.k8s.io/v1
leaderName: cloud-provider-extraction-migration
resourceLock: leases
controllerLeaders:
  - name: route
    component: cloud-controller-manager
  - name: service
    component: cloud-controller-manager
  - name: cloud-node-lifecycle
    component: cloud-controller-manager

Response: This yaml code Migrate Replicated Control Plane To Use Cloud Controller Manager | When creating control plane nodes of version N + 1, the content should be deployed to /etc/leadermigration.conf. The manifest of cloud-controller-manager should be updated to mount the configuration f


Prompt:
Complete this yaml code:

# wildcard version, with nodeipam
kind: LeaderMigrationConfiguration
apiVersion: controllermanager.config.k8s.io/v1
leaderName: cloud-provider-extraction-migration
resourceLock: leases
controllerLeaders:
  - name: route

Response:
    component: *
  - name: service
    component: *
  - name: cloud-node-lifecycle
    component: *
  - name: nodeipam
-   component: *


Prompt:
Explain this yaml code:

# wildcard version, with nodeipam
kind: LeaderMigrationConfiguration
apiVersion: controllermanager.config.k8s.io/v1
leaderName: cloud-provider-extraction-migration
resourceLock: leases
controllerLeaders:
  - name: route
    component: *
  - name: service
    component: *
  - name: cloud-node-lifecycle
    component: *
  - name: nodeipam
-   component: *

Response: This yaml code Migrate Replicated Control Plane To Use Cloud Controller Manager |


Prompt:
Complete this yaml code:

apiVersion: v1
kind: LimitRange
metadata:
  name: cpu-limit-range
spec:

Response:
  limits:
  - default:
      cpu: 1
    defaultRequest:
      cpu: 0.5
    type: Container

Context: Configure Default CPU Requests and Limits for a Namespace | Create the LimitRange in the default-cpu-example namespace:


Prompt:
Explain this yaml code:

apiVersion: v1
kind: LimitRange
metadata:
  name: cpu-limit-range
spec:
  limits:
  - default:
      cpu: 1
    defaultRequest:
      cpu: 0.5
    type: Container

Response: This yaml code Configure Default CPU Requests and Limits for a Namespace | Create the LimitRange in the default-cpu-example namespace:


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/admin/resource/cpu-defaults.yaml --namespace=default-cpu-example

Response: This bash code Configure Default CPU Requests and Limits for a Namespace | Now if you create a Pod in the default-cpu-example namespace, and any container in that Pod does not specify its own values for CPU request and CPU limit, then the control plane applies default values

Context: Configure Default CPU Requests and Limits for a Namespace | Now if you create a Pod in the default-cpu-example namespace, and any container in that Pod does not specify its own values for CPU request and CPU limit, then the control plane applies default values


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: default-cpu-demo

Response:
spec:
  containers:
  - name: default-cpu-demo-ctr
    image: nginx

Context: Configure Default CPU Requests and Limits for a Namespace | Create the Pod.


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: default-cpu-demo
spec:
  containers:
  - name: default-cpu-demo-ctr
    image: nginx

Response: This yaml code Configure Default CPU Requests and Limits for a Namespace | Create the Pod.


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/admin/resource/cpu-defaults-pod.yaml --namespace=default-cpu-example

Response: This bash code Configure Default CPU Requests and Limits for a Namespace | View the Pod's specification:

Context: Configure Default CPU Requests and Limits for a Namespace | View the Pod's specification:


Prompt:
Explain this bash code:

kubectl get pod default-cpu-demo --output=yaml --namespace=default-cpu-example

Response: This bash code Configure Default CPU Requests and Limits for a Namespace | The output shows that the Pod's only container has a CPU request of 500m cpu (which you can read as “500 millicpu”), and a CPU limit of 1 cpu. These are the default values specified by the LimitRange.

Context: Configure Default CPU Requests and Limits for a Namespace | The output shows that the Pod's only container has a CPU request of 500m cpu (which you can read as “500 millicpu”), and a CPU limit of 1 cpu. These are the default values specified by the LimitRange.


Prompt:
Complete this text code:

containers:
- image: nginx
  imagePullPolicy: Always
  name: default-cpu-demo-ctr

Response:
  resources:
    limits:
      cpu: "1"
    requests:
      cpu: 500m

Context: Configure Default CPU Requests and Limits for a Namespace | Here's a manifest for a Pod that has one container. The container specifies a CPU limit, but not a request:


Prompt:
Explain this text code:

containers:
- image: nginx
  imagePullPolicy: Always
  name: default-cpu-demo-ctr
  resources:
    limits:
      cpu: "1"
    requests:
      cpu: 500m

Response: This text code Configure Default CPU Requests and Limits for a Namespace | Here's a manifest for a Pod that has one container. The container specifies a CPU limit, but not a request:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: default-cpu-demo-2
spec:

Response:
  containers:
  - name: default-cpu-demo-2-ctr
    image: nginx
    resources:
      limits:
        cpu: "1"

Context: Configure Default CPU Requests and Limits for a Namespace | Create the Pod:


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: default-cpu-demo-2
spec:
  containers:
  - name: default-cpu-demo-2-ctr
    image: nginx
    resources:
      limits:
        cpu: "1"

Response: This yaml code Configure Default CPU Requests and Limits for a Namespace | Create the Pod:


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/admin/resource/cpu-defaults-pod-2.yaml --namespace=default-cpu-example

Response: This bash code Configure Default CPU Requests and Limits for a Namespace | View the specification of the Pod that you created:

Context: Configure Default CPU Requests and Limits for a Namespace | View the specification of the Pod that you created:


Prompt:
Explain this bash code:

kubectl get pod default-cpu-demo-2 --output=yaml --namespace=default-cpu-example

Response: This bash code Configure Default CPU Requests and Limits for a Namespace | The output shows that the container's CPU request is set to match its CPU limit. Notice that the container was not assigned the default CPU request value of 0.5 cpu:

Context: Configure Default CPU Requests and Limits for a Namespace | The output shows that the container's CPU request is set to match its CPU limit. Notice that the container was not assigned the default CPU request value of 0.5 cpu:


Prompt:
Complete this text code:

resources:
  limits:

Response:
    cpu: "1"
  requests:
    cpu: "1"

Context: Configure Default CPU Requests and Limits for a Namespace | Here's an example manifest for a Pod that has one container. The container specifies a CPU request, but not a limit:


Prompt:
Explain this text code:

resources:
  limits:
    cpu: "1"
  requests:
    cpu: "1"

Response: This text code Configure Default CPU Requests and Limits for a Namespace | Here's an example manifest for a Pod that has one container. The container specifies a CPU request, but not a limit:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: default-cpu-demo-3
spec:

Response:
  containers:
  - name: default-cpu-demo-3-ctr
    image: nginx
    resources:
      requests:
        cpu: "0.75"


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: default-cpu-demo-3
spec:
  containers:
  - name: default-cpu-demo-3-ctr
    image: nginx
    resources:
      requests:
        cpu: "0.75"

Response: This yaml code Configure Default CPU Requests and Limits for a Namespace | Create the Pod:


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/admin/resource/cpu-defaults-pod-3.yaml --namespace=default-cpu-example

Response: This bash code Configure Default CPU Requests and Limits for a Namespace | View the specification of the Pod that you created:


Prompt:
Explain this bash code:

kubectl get pod default-cpu-demo-3 --output=yaml --namespace=default-cpu-example

Response: This bash code Configure Default CPU Requests and Limits for a Namespace | The output shows that the container's CPU request is set to the value you specified at the time you created the Pod (in other words: it matches the manifest). However, the same container's CPU limit i

Context: Configure Default CPU Requests and Limits for a Namespace | The output shows that the container's CPU request is set to the value you specified at the time you created the Pod (in other words: it matches the manifest). However, the same container's CPU limit i


Prompt:
Complete this text code:

resources:
  limits:

Response:
    cpu: "1"
  requests:
    cpu: 750m

Context: Configure Default CPU Requests and Limits for a Namespace | If your namespace has a CPU resource quota configured, it is helpful to have a default value in place for CPU limit. Here are two of the restrictions that a CPU resource quota imposes on a namespace:


Prompt:
Explain this text code:

resources:
  limits:
    cpu: "1"
  requests:
    cpu: 750m

Response: This text code Configure Default CPU Requests and Limits for a Namespace | If your namespace has a CPU resource quota configured, it is helpful to have a default value in place for CPU limit. Here are two of the restrictions that a CPU resource quota imposes on a namespace:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: LimitRange
metadata:
  name: cpu-limit-range
spec:

Response:
  limits:
  - default:
      cpu: 1
    defaultRequest:
      cpu: 0.5
    type: Container


Prompt:
Explain this yaml code:

apiVersion: v1
kind: LimitRange
metadata:
  name: cpu-limit-range
spec:
  limits:
  - default:
      cpu: 1
    defaultRequest:
      cpu: 0.5
    type: Container

Response: This yaml code Configure Default CPU Requests and Limits for a Namespace | Create the LimitRange in the default-cpu-example namespace:


Prompt:
Explain this shell code:

kubectl apply -f https://k8s.io/examples/admin/resource/cpu-defaults.yaml --namespace=default-cpu-example

Response: This shell code Configure Default CPU Requests and Limits for a Namespace | Now if you create a Pod in the default-cpu-example namespace, and any container in that Pod does not specify its own values for CPU request and CPU limit, then the control plane applies default values


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: default-cpu-demo

Response:
spec:
  containers:
  - name: default-cpu-demo-ctr
    image: nginx


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: default-cpu-demo
spec:
  containers:
  - name: default-cpu-demo-ctr
    image: nginx

Response: This yaml code Configure Default CPU Requests and Limits for a Namespace | Create the Pod.


Prompt:
Explain this shell code:

kubectl apply -f https://k8s.io/examples/admin/resource/cpu-defaults-pod.yaml --namespace=default-cpu-example

Response: This shell code Configure Default CPU Requests and Limits for a Namespace | View the Pod's specification:


Prompt:
Explain this shell code:

kubectl get pod default-cpu-demo --output=yaml --namespace=default-cpu-example

Response: This shell code Configure Default CPU Requests and Limits for a Namespace | The output shows that the Pod's only container has a CPU request of 500m cpu (which you can read as “500 millicpu”), and a CPU limit of 1 cpu. These are the default values specified by the LimitRange.


Prompt:
Complete this shell code:

containers:
- image: nginx
  imagePullPolicy: Always
  name: default-cpu-demo-ctr

Response:
  resources:
    limits:
      cpu: "1"
    requests:
      cpu: 500m


Prompt:
Explain this shell code:

containers:
- image: nginx
  imagePullPolicy: Always
  name: default-cpu-demo-ctr
  resources:
    limits:
      cpu: "1"
    requests:
      cpu: 500m

Response: This shell code Configure Default CPU Requests and Limits for a Namespace | Here's a manifest for a Pod that has one container. The container specifies a CPU limit, but not a request:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: default-cpu-demo-2
spec:

Response:
  containers:
  - name: default-cpu-demo-2-ctr
    image: nginx
    resources:
      limits:
        cpu: "1"


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: default-cpu-demo-2
spec:
  containers:
  - name: default-cpu-demo-2-ctr
    image: nginx
    resources:
      limits:
        cpu: "1"

Response: This yaml code Configure Default CPU Requests and Limits for a Namespace | Create the Pod:


Prompt:
Explain this shell code:

kubectl apply -f https://k8s.io/examples/admin/resource/cpu-defaults-pod-2.yaml --namespace=default-cpu-example

Response: This shell code Configure Default CPU Requests and Limits for a Namespace | View the specification of the Pod that you created:


Prompt:
Explain this bash code:

kubectl get pod default-cpu-demo-2 --output=yaml --namespace=default-cpu-example

Response: This bash code Configure Default CPU Requests and Limits for a Namespace | The output shows that the container's CPU request is set to match its CPU limit. Notice that the container was not assigned the default CPU request value of 0.5 cpu:


Prompt:
Complete this text code:

resources:
  limits:

Response:
    cpu: "1"
  requests:
    cpu: "1"


Prompt:
Explain this text code:

resources:
  limits:
    cpu: "1"
  requests:
    cpu: "1"

Response: This text code Configure Default CPU Requests and Limits for a Namespace | Here's an example manifest for a Pod that has one container. The container specifies a CPU request, but not a limit:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: default-cpu-demo-3
spec:

Response:
  containers:
  - name: default-cpu-demo-3-ctr
    image: nginx
    resources:
      requests:
        cpu: "0.75"


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: default-cpu-demo-3
spec:
  containers:
  - name: default-cpu-demo-3-ctr
    image: nginx
    resources:
      requests:
        cpu: "0.75"

Response: This yaml code Configure Default CPU Requests and Limits for a Namespace | Create the Pod:


Prompt:
Explain this shell code:

kubectl apply -f https://k8s.io/examples/admin/resource/cpu-defaults-pod-3.yaml --namespace=default-cpu-example

Response: This shell code Configure Default CPU Requests and Limits for a Namespace | View the specification of the Pod that you created:


Prompt:
Explain this bash code:

kubectl get pod default-cpu-demo-3 --output=yaml --namespace=default-cpu-example

Response: This bash code Configure Default CPU Requests and Limits for a Namespace | The output shows that the container's CPU request is set to the value you specified at the time you created the Pod (in other words: it matches the manifest). However, the same container's CPU limit i


Prompt:
Complete this text code:

resources:
  limits:

Response:
    cpu: "1"
  requests:
    cpu: 750m


Prompt:
Explain this text code:

resources:
  limits:
    cpu: "1"
  requests:
    cpu: 750m

Response: This text code Configure Default CPU Requests and Limits for a Namespace | If your namespace has a CPU resource quota configured, it is helpful to have a default value in place for CPU limit. Here are two of the restrictions that a CPU resource quota imposes on a namespace:


Prompt:
Complete this yaml code:

admin/resource/cpu-defaults.yaml
apiVersion: v1
kind: LimitRange
metadata:
  name: cpu-limit-range
spec:

Response:
  limits:
  - default:
      cpu: 1
    defaultRequest:
      cpu: 0.5
    type: Container


Prompt:
Explain this yaml code:

admin/resource/cpu-defaults.yaml
apiVersion: v1
kind: LimitRange
metadata:
  name: cpu-limit-range
spec:
  limits:
  - default:
      cpu: 1
    defaultRequest:
      cpu: 0.5
    type: Container

Response: This yaml code Configure Default CPU Requests and Limits for a Namespace | Create the LimitRange in the default-cpu-example namespace:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: LimitRange
metadata:
  name: cpu-limit-range
spec:

Response:
  limits:
  - default:
      cpu: 1
    defaultRequest:
      cpu: 0.5
    type: Container


Prompt:
Explain this yaml code:

apiVersion: v1
kind: LimitRange
metadata:
  name: cpu-limit-range
spec:
  limits:
  - default:
      cpu: 1
    defaultRequest:
      cpu: 0.5
    type: Container

Response: This yaml code Configure Default CPU Requests and Limits for a Namespace | Create the LimitRange in the default-cpu-example namespace:


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/admin/resource/cpu-defaults.yaml --namespace=default-cpu-example

Response: This bash code Configure Default CPU Requests and Limits for a Namespace | Now if you create a Pod in the default-cpu-example namespace, and any container in that Pod does not specify its own values for CPU request and CPU limit, then the control plane applies default values


Prompt:
Complete this yaml code:

admin/resource/cpu-defaults-pod.yaml
apiVersion: v1
kind: Pod
metadata:

Response:
  name: default-cpu-demo
spec:
  containers:
  - name: default-cpu-demo-ctr
    image: nginx


Prompt:
Explain this yaml code:

admin/resource/cpu-defaults-pod.yaml
apiVersion: v1
kind: Pod
metadata:
  name: default-cpu-demo
spec:
  containers:
  - name: default-cpu-demo-ctr
    image: nginx

Response: This yaml code Configure Default CPU Requests and Limits for a Namespace | Create the Pod.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: default-cpu-demo

Response:
spec:
  containers:
  - name: default-cpu-demo-ctr
    image: nginx


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: default-cpu-demo
spec:
  containers:
  - name: default-cpu-demo-ctr
    image: nginx

Response: This yaml code Configure Default CPU Requests and Limits for a Namespace | Create the Pod.


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/admin/resource/cpu-defaults-pod.yaml --namespace=default-cpu-example

Response: This bash code Configure Default CPU Requests and Limits for a Namespace | View the Pod's specification:


Prompt:
Explain this bash code:

kubectl get pod default-cpu-demo --output=yaml --namespace=default-cpu-example

Response: This bash code Configure Default CPU Requests and Limits for a Namespace | The output shows that the Pod's only container has a CPU request of 500m cpu (which you can read as “500 millicpu”), and a CPU limit of 1 cpu. These are the default values specified by the LimitRange.


Prompt:
Complete this text code:

containers:
- image: nginx
  imagePullPolicy: Always
  name: default-cpu-demo-ctr

Response:
  resources:
    limits:
      cpu: "1"
    requests:
      cpu: 500m


Prompt:
Explain this text code:

containers:
- image: nginx
  imagePullPolicy: Always
  name: default-cpu-demo-ctr
  resources:
    limits:
      cpu: "1"
    requests:
      cpu: 500m

Response: This text code Configure Default CPU Requests and Limits for a Namespace | Here's a manifest for a Pod that has one container. The container specifies a CPU limit, but not a request:


Prompt:
Complete this yaml code:

admin/resource/cpu-defaults-pod-2.yaml
apiVersion: v1
kind: Pod
metadata:
  name: default-cpu-demo-2
spec:

Response:
  containers:
  - name: default-cpu-demo-2-ctr
    image: nginx
    resources:
      limits:
        cpu: "1"


Prompt:
Explain this yaml code:

admin/resource/cpu-defaults-pod-2.yaml
apiVersion: v1
kind: Pod
metadata:
  name: default-cpu-demo-2
spec:
  containers:
  - name: default-cpu-demo-2-ctr
    image: nginx
    resources:
      limits:
        cpu: "1"

Response: This yaml code Configure Default CPU Requests and Limits for a Namespace | Create the Pod:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: default-cpu-demo-2
spec:

Response:
  containers:
  - name: default-cpu-demo-2-ctr
    image: nginx
    resources:
      limits:
        cpu: "1"


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: default-cpu-demo-2
spec:
  containers:
  - name: default-cpu-demo-2-ctr
    image: nginx
    resources:
      limits:
        cpu: "1"

Response: This yaml code Configure Default CPU Requests and Limits for a Namespace | Create the Pod:


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/admin/resource/cpu-defaults-pod-2.yaml --namespace=default-cpu-example

Response: This bash code Configure Default CPU Requests and Limits for a Namespace | View the specification of the Pod that you created:


Prompt:
Complete this yaml code:

admin/resource/cpu-defaults-pod-3.yaml
apiVersion: v1
kind: Pod
metadata:
  name: default-cpu-demo-3
spec:

Response:
  containers:
  - name: default-cpu-demo-3-ctr
    image: nginx
    resources:
      requests:
        cpu: "0.75"


Prompt:
Explain this yaml code:

admin/resource/cpu-defaults-pod-3.yaml
apiVersion: v1
kind: Pod
metadata:
  name: default-cpu-demo-3
spec:
  containers:
  - name: default-cpu-demo-3-ctr
    image: nginx
    resources:
      requests:
        cpu: "0.75"

Response: This yaml code Configure Default CPU Requests and Limits for a Namespace | Create the Pod:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: default-cpu-demo-3
spec:

Response:
  containers:
  - name: default-cpu-demo-3-ctr
    image: nginx
    resources:
      requests:
        cpu: "0.75"


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: default-cpu-demo-3
spec:
  containers:
  - name: default-cpu-demo-3-ctr
    image: nginx
    resources:
      requests:
        cpu: "0.75"

Response: This yaml code Configure Default CPU Requests and Limits for a Namespace | Create the Pod:


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/admin/resource/cpu-defaults-pod-3.yaml --namespace=default-cpu-example

Response: This bash code Configure Default CPU Requests and Limits for a Namespace | View the specification of the Pod that you created:


Prompt:
Explain this bash code:

kubectl get pods -n kube-system | grep kube-scheduler

Response: This bash code Scheduler Performance Tuning | to verify that the kube-scheduler component is healthy.

Context: Scheduler Performance Tuning | to verify that the kube-scheduler component is healthy.


Prompt:
Complete this yaml code:

apiVersion: kubescheduler.config.k8s.io/v1alpha1
kind: KubeSchedulerConfiguration
algorithmSource:
  provider: DefaultProvider

Response:
...

percentageOfNodesToScore: 50

Context: Scheduler Performance Tuning | percentageOfNodesToScore must be a value between 1 and 100 with the default value being calculated based on the cluster size. There is also a hardcoded minimum value of 100 nodes.


Prompt:
Explain this yaml code:

apiVersion: kubescheduler.config.k8s.io/v1alpha1
kind: KubeSchedulerConfiguration
algorithmSource:
  provider: DefaultProvider

...

percentageOfNodesToScore: 50

Response: This yaml code Scheduler Performance Tuning | percentageOfNodesToScore must be a value between 1 and 100 with the default value being calculated based on the cluster size. There is also a hardcoded minimum value of 100 nodes.


Prompt:
Explain this text code:

Zone 1: Node 1, Node 2, Node 3, Node 4
Zone 2: Node 5, Node 6

Response: This text code Scheduler Performance Tuning | The Scheduler evaluates feasibility of the nodes in this order:

Context: Scheduler Performance Tuning | The Scheduler evaluates feasibility of the nodes in this order:


Prompt:
Explain this bash code:

kubectl get pods -n kube-system | grep kube-scheduler

Response: This bash code Scheduler Performance Tuning | to verify that the kube-scheduler component is healthy.


Prompt:
Complete this yaml code:

apiVersion: kubescheduler.config.k8s.io/v1alpha1
kind: KubeSchedulerConfiguration
algorithmSource:
  provider: DefaultProvider

Response:
...

percentageOfNodesToScore: 50


Prompt:
Explain this yaml code:

apiVersion: kubescheduler.config.k8s.io/v1alpha1
kind: KubeSchedulerConfiguration
algorithmSource:
  provider: DefaultProvider

...

percentageOfNodesToScore: 50

Response: This yaml code Scheduler Performance Tuning | percentageOfNodesToScore must be a value between 1 and 100 with the default value being calculated based on the cluster size. There is also a hardcoded minimum value of 100 nodes.


Prompt:
Explain this text code:

Zone 1: Node 1, Node 2, Node 3, Node 4
Zone 2: Node 5, Node 6

Response: This text code Scheduler Performance Tuning | The Scheduler evaluates feasibility of the nodes in this order:


Prompt:
Explain this bash code:

kubectl get pods -n kube-system | grep kube-scheduler

Response: This bash code Scheduler Performance Tuning | to verify that the kube-scheduler component is healthy.


Prompt:
Complete this yaml code:

apiVersion: kubescheduler.config.k8s.io/v1alpha1
kind: KubeSchedulerConfiguration
algorithmSource:
  provider: DefaultProvider

Response:
...

percentageOfNodesToScore: 50


Prompt:
Explain this yaml code:

apiVersion: kubescheduler.config.k8s.io/v1alpha1
kind: KubeSchedulerConfiguration
algorithmSource:
  provider: DefaultProvider

...

percentageOfNodesToScore: 50

Response: This yaml code Scheduler Performance Tuning | percentageOfNodesToScore must be a value between 1 and 100 with the default value being calculated based on the cluster size. There is also a hardcoded minimum value of 100 nodes.


Prompt:
Complete this yaml code:

apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: example-daemonset
spec:
  selector:
    matchLabels:
      app.kubernetes.io/name: example
  template:
    metadata:
      labels:
        app.kubernetes.io/name: example
    spec:
      containers:
      - name: pause
        image: registry.k8s.io/pause
      initContainers:

Response:
      - name: log-machine-id
        image: busybox:1.37
        command: ['sh', '-c', 'cat /etc/machine-id > /var/log/machine-id.log']
        volumeMounts:
        - name: machine-id
          mountPath: /etc/machine-id
          readOnly: true
        - name: log-dir
          mountPath: /var/log
      volumes:
      - name: machine-id
        hostPath:
          path: /etc/machine-id
          type: File
      - name: log-dir
        hostPath:
          path: /var/log

Context: Building a Basic DaemonSet | Create a DaemonSet based on the (YAML) manifest:


Prompt:
Explain this yaml code:

apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: example-daemonset
spec:
  selector:
    matchLabels:
      app.kubernetes.io/name: example
  template:
    metadata:
      labels:
        app.kubernetes.io/name: example
    spec:
      containers:
      - name: pause
        image: registry.k8s.io/pause
      initContainers:
      - name: log-machine-id
        image: busybox:1.37
        command: ['sh', '-c', 'cat /etc/machine-id > /var/log/machine-id.log']
        volumeMounts:
        - name: machine-id
          mountPath: /etc/machine-id
          readOnly: true
        - name: log-dir
          mountPath: /var/log
      volumes:
      - name: machine-id
        hostPath:
          path: /etc/machine-id
          type: File
      - name: log-dir
        hostPath:
          path: /var/log

Response: This yaml code Building a Basic DaemonSet | Create a DaemonSet based on the (YAML) manifest:


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/application/basic-daemonset.yaml

Response: This bash code Building a Basic DaemonSet | Once applied, you can verify that the DaemonSet is running a Pod on every node in the cluster:

Context: Building a Basic DaemonSet | Once applied, you can verify that the DaemonSet is running a Pod on every node in the cluster:


Prompt:
Explain this text code:

NAME                                READY   STATUS    RESTARTS   AGE    IP       NODE
example-daemonset-xxxxx             1/1     Running   0          5m     x.x.x.x  node-1
example-daemonset-yyyyy             1/1     Running   0          5m     x.x.x.x  node-2

Response: This text code Building a Basic DaemonSet | You can inspect the contents of the logged /etc/machine-id file by checking the log directory mounted from the host:

Context: Building a Basic DaemonSet | You can inspect the contents of the logged /etc/machine-id file by checking the log directory mounted from the host:


Prompt:
Explain this bash code:

kubectl exec <pod-name> -- cat /var/log/machine-id.log

Response: This bash code Building a Basic DaemonSet | Where <pod-name> is the name of one of your Pods.

Context: Building a Basic DaemonSet | Where <pod-name> is the name of one of your Pods.


Prompt:
Explain this bash code:

kubectl delete --cascade=foreground --ignore-not-found --now daemonsets/example-daemonset

Response: This bash code Building a Basic DaemonSet | This simple DaemonSet example introduces key components like init containers and host path volumes, which can be expanded upon for more advanced use cases. For more details refer to DaemonSet.

Context: Building a Basic DaemonSet | This simple DaemonSet example introduces key components like init containers and host path volumes, which can be expanded upon for more advanced use cases. For more details refer to DaemonSet.


Prompt:
Complete this yaml code:

apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: example-daemonset
spec:
  selector:
    matchLabels:
      app.kubernetes.io/name: example
  template:
    metadata:
      labels:
        app.kubernetes.io/name: example
    spec:
      containers:
      - name: pause
        image: registry.k8s.io/pause
      initContainers:

Response:
      - name: log-machine-id
        image: busybox:1.37
        command: ['sh', '-c', 'cat /etc/machine-id > /var/log/machine-id.log']
        volumeMounts:
        - name: machine-id
          mountPath: /etc/machine-id
          readOnly: true
        - name: log-dir
          mountPath: /var/log
      volumes:
      - name: machine-id
        hostPath:
          path: /etc/machine-id
          type: File
      - name: log-dir
        hostPath:
          path: /var/log


Prompt:
Explain this yaml code:

apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: example-daemonset
spec:
  selector:
    matchLabels:
      app.kubernetes.io/name: example
  template:
    metadata:
      labels:
        app.kubernetes.io/name: example
    spec:
      containers:
      - name: pause
        image: registry.k8s.io/pause
      initContainers:
      - name: log-machine-id
        image: busybox:1.37
        command: ['sh', '-c', 'cat /etc/machine-id > /var/log/machine-id.log']
        volumeMounts:
        - name: machine-id
          mountPath: /etc/machine-id
          readOnly: true
        - name: log-dir
          mountPath: /var/log
      volumes:
      - name: machine-id
        hostPath:
          path: /etc/machine-id
          type: File
      - name: log-dir
        hostPath:
          path: /var/log

Response: This yaml code Building a Basic DaemonSet | Create a DaemonSet based on the (YAML) manifest:


Prompt:
Explain this shell code:

kubectl apply -f https://k8s.io/examples/application/basic-daemonset.yaml

Response: This shell code Building a Basic DaemonSet | Once applied, you can verify that the DaemonSet is running a Pod on every node in the cluster:


Prompt:
Explain this text code:

NAME                                READY   STATUS    RESTARTS   AGE    IP       NODE
example-daemonset-xxxxx             1/1     Running   0          5m     x.x.x.x  node-1
example-daemonset-yyyyy             1/1     Running   0          5m     x.x.x.x  node-2

Response: This text code Building a Basic DaemonSet | You can inspect the contents of the logged /etc/machine-id file by checking the log directory mounted from the host:


Prompt:
Explain this shell code:

kubectl exec <pod-name> -- cat /var/log/machine-id.log

Response: This shell code Building a Basic DaemonSet | Where <pod-name> is the name of one of your Pods.


Prompt:
Explain this shell code:

kubectl delete --cascade=foreground --ignore-not-found --now daemonsets/example-daemonset

Response: This shell code Building a Basic DaemonSet | This simple DaemonSet example introduces key components like init containers and host path volumes, which can be expanded upon for more advanced use cases. For more details refer to DaemonSet.


Prompt:
Complete this yaml code:

application/basic-daemonset.yaml
apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: example-daemonset
spec:
  selector:
    matchLabels:
      app.kubernetes.io/name: example
  template:
    metadata:
      labels:
        app.kubernetes.io/name: example
    spec:
      containers:
      - name: pause
        image: registry.k8s.io/pause

Response:
      initContainers:
      - name: log-machine-id
        image: busybox:1.37
        command: ['sh', '-c', 'cat /etc/machine-id > /var/log/machine-id.log']
        volumeMounts:
        - name: machine-id
          mountPath: /etc/machine-id
          readOnly: true
        - name: log-dir
          mountPath: /var/log
      volumes:
      - name: machine-id
        hostPath:
          path: /etc/machine-id
          type: File
      - name: log-dir
        hostPath:
          path: /var/log


Prompt:
Explain this yaml code:

application/basic-daemonset.yaml
apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: example-daemonset
spec:
  selector:
    matchLabels:
      app.kubernetes.io/name: example
  template:
    metadata:
      labels:
        app.kubernetes.io/name: example
    spec:
      containers:
      - name: pause
        image: registry.k8s.io/pause
      initContainers:
      - name: log-machine-id
        image: busybox:1.37
        command: ['sh', '-c', 'cat /etc/machine-id > /var/log/machine-id.log']
        volumeMounts:
        - name: machine-id
          mountPath: /etc/machine-id
          readOnly: true
        - name: log-dir
          mountPath: /var/log
      volumes:
      - name: machine-id
        hostPath:
          path: /etc/machine-id
          type: File
      - name: log-dir
        hostPath:
          path: /var/log

Response: This yaml code Building a Basic DaemonSet | Create a DaemonSet based on the (YAML) manifest:


Prompt:
Complete this yaml code:

apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: example-daemonset
spec:
  selector:
    matchLabels:
      app.kubernetes.io/name: example
  template:
    metadata:
      labels:
        app.kubernetes.io/name: example
    spec:
      containers:
      - name: pause
        image: registry.k8s.io/pause
      initContainers:

Response:
      - name: log-machine-id
        image: busybox:1.37
        command: ['sh', '-c', 'cat /etc/machine-id > /var/log/machine-id.log']
        volumeMounts:
        - name: machine-id
          mountPath: /etc/machine-id
          readOnly: true
        - name: log-dir
          mountPath: /var/log
      volumes:
      - name: machine-id
        hostPath:
          path: /etc/machine-id
          type: File
      - name: log-dir
        hostPath:
          path: /var/log


Prompt:
Explain this yaml code:

apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: example-daemonset
spec:
  selector:
    matchLabels:
      app.kubernetes.io/name: example
  template:
    metadata:
      labels:
        app.kubernetes.io/name: example
    spec:
      containers:
      - name: pause
        image: registry.k8s.io/pause
      initContainers:
      - name: log-machine-id
        image: busybox:1.37
        command: ['sh', '-c', 'cat /etc/machine-id > /var/log/machine-id.log']
        volumeMounts:
        - name: machine-id
          mountPath: /etc/machine-id
          readOnly: true
        - name: log-dir
          mountPath: /var/log
      volumes:
      - name: machine-id
        hostPath:
          path: /etc/machine-id
          type: File
      - name: log-dir
        hostPath:
          path: /var/log

Response: This yaml code Building a Basic DaemonSet | Create a DaemonSet based on the (YAML) manifest:


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/application/basic-daemonset.yaml

Response: This bash code Building a Basic DaemonSet | Once applied, you can verify that the DaemonSet is running a Pod on every node in the cluster:


Prompt:
Explain this bash code:

kubectl exec <pod-name> -- cat /var/log/machine-id.log

Response: This bash code Building a Basic DaemonSet | Where <pod-name> is the name of one of your Pods.


Prompt:
Explain this bash code:

kubectl delete --cascade=foreground --ignore-not-found --now daemonsets/example-daemonset

Response: This bash code Building a Basic DaemonSet | This simple DaemonSet example introduces key components like init containers and host path volumes, which can be expanded upon for more advanced use cases. For more details refer to DaemonSet.


Prompt:
Complete this text code:

# reopen an issue
/reopen

# transfer issues that don't fit in k/website to another repository
/transfer[-issue]

# change the state of rotten issues
/remove-lifecycle rotten

# change the state of stale issues
/remove-lifecycle stale

# assign sig to an issue
/sig <sig_name>

# add specific area

Response:
/area <area_name>

# for beginner friendly issues
/good-first-issue

# issues that needs help
/help wanted

# tagging issue as support specific
/kind support

# to accept triaging for an issue
/triage accepted

# closing an issue we won't be working on and haven't fixed yet
/close not-planned

Context: Issue Wranglers | To find more Prow commands, refer to the Command Help documentation.


Prompt:
Explain this text code:

# reopen an issue
/reopen

# transfer issues that don't fit in k/website to another repository
/transfer[-issue]

# change the state of rotten issues
/remove-lifecycle rotten

# change the state of stale issues
/remove-lifecycle stale

# assign sig to an issue
/sig <sig_name>

# add specific area
/area <area_name>

# for beginner friendly issues
/good-first-issue

# issues that needs help
/help wanted

# tagging issue as support specific
/kind support

# to accept triaging for an issue
/triage accepted

# closing an issue we won't be working on and haven't fixed yet
/close not-planned

Response: This text code Issue Wranglers | To find more Prow commands, refer to the Command Help documentation.


Prompt:
Complete this bash code:

# reopen an issue
/reopen

# transfer issues that don't fit in k/website to another repository
/transfer[-issue]

# change the state of rotten issues
/remove-lifecycle rotten

# change the state of stale issues
/remove-lifecycle stale

# assign sig to an issue
/sig <sig_name>

# add specific area

Response:
/area <area_name>

# for beginner friendly issues
/good-first-issue

# issues that needs help
/help wanted

# tagging issue as support specific
/kind support

# to accept triaging for an issue
/triage accepted

# closing an issue we won't be working on and haven't fixed yet
/close not-planned


Prompt:
Explain this bash code:

# reopen an issue
/reopen

# transfer issues that don't fit in k/website to another repository
/transfer[-issue]

# change the state of rotten issues
/remove-lifecycle rotten

# change the state of stale issues
/remove-lifecycle stale

# assign sig to an issue
/sig <sig_name>

# add specific area
/area <area_name>

# for beginner friendly issues
/good-first-issue

# issues that needs help
/help wanted

# tagging issue as support specific
/kind support

# to accept triaging for an issue
/triage accepted

# closing an issue we won't be working on and haven't fixed yet
/close not-planned

Response: This bash code Issue Wranglers | To find more Prow commands, refer to the Command Help documentation.


Prompt:
Complete this text code:

# reopen an issue
/reopen

# transfer issues that don't fit in k/website to another repository
/transfer[-issue]

# change the state of rotten issues
/remove-lifecycle rotten

# change the state of stale issues
/remove-lifecycle stale

# assign sig to an issue
/sig <sig_name>

# add specific area

Response:
/area <area_name>

# for beginner friendly issues
/good-first-issue

# issues that needs help
/help wanted

# tagging issue as support specific
/kind support

# to accept triaging for an issue
/triage accepted

# closing an issue we won't be working on and haven't fixed yet
/close not-planned


Prompt:
Explain this text code:

# reopen an issue
/reopen

# transfer issues that don't fit in k/website to another repository
/transfer[-issue]

# change the state of rotten issues
/remove-lifecycle rotten

# change the state of stale issues
/remove-lifecycle stale

# assign sig to an issue
/sig <sig_name>

# add specific area
/area <area_name>

# for beginner friendly issues
/good-first-issue

# issues that needs help
/help wanted

# tagging issue as support specific
/kind support

# to accept triaging for an issue
/triage accepted

# closing an issue we won't be working on and haven't fixed yet
/close not-planned

Response: This text code Issue Wranglers | To find more Prow commands, refer to the Command Help documentation.


Prompt:
Explain this text code:

spec.containers[*].securityContext.readOnlyRootFilesystem

Response: This text code Windows containers in Kubernetes | In the above list, wildcards (*) indicate all elements in a list. For example, spec.containers[*].securityContext refers to the SecurityContext object for all containers. If any of these fields is spe

Context: Windows containers in Kubernetes | In the above list, wildcards (*) indicate all elements in a list. For example, spec.containers[*].securityContext refers to the SecurityContext object for all containers. If any of these fields is spe


Prompt:
Explain this text code:

spec.containers[*].securityContext.allowPrivilegeEscalation

Response: This text code Windows containers in Kubernetes | In the above list, wildcards (*) indicate all elements in a list. For example, spec.containers[*].securityContext refers to the SecurityContext object for all containers. If any of these fields is spe


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: lifecycle-demo
spec:
  containers:
  - name: lifecycle-demo-container

Response:
    image: nginx
    lifecycle:
      postStart:
        exec:
          command: ["/bin/sh", "-c", "echo Hello from the postStart handler > /usr/share/message"]
      preStop:
        exec:
          command: ["/bin/sh","-c","nginx -s quit; while killall -0 nginx; do sleep 1; done"]

Context: Attach Handlers to Container Lifecycle Events | In the configuration file, you can see that the postStart command writes a message file to the Container's /usr/share directory. The preStop command shuts down nginx gracefully. This is helpful if the


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: lifecycle-demo
spec:
  containers:
  - name: lifecycle-demo-container
    image: nginx
    lifecycle:
      postStart:
        exec:
          command: ["/bin/sh", "-c", "echo Hello from the postStart handler > /usr/share/message"]
      preStop:
        exec:
          command: ["/bin/sh","-c","nginx -s quit; while killall -0 nginx; do sleep 1; done"]

Response: This yaml code Attach Handlers to Container Lifecycle Events | In the configuration file, you can see that the postStart command writes a message file to the Container's /usr/share directory. The preStop command shuts down nginx gracefully. This is helpful if the


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/pods/lifecycle-events.yaml

Response: This bash code Attach Handlers to Container Lifecycle Events | Verify that the Container in the Pod is running:

Context: Attach Handlers to Container Lifecycle Events | Verify that the Container in the Pod is running:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: lifecycle-demo
spec:
  containers:
  - name: lifecycle-demo-container

Response:
    image: nginx
    lifecycle:
      postStart:
        exec:
          command: ["/bin/sh", "-c", "echo Hello from the postStart handler > /usr/share/message"]
      preStop:
        exec:
          command: ["/bin/sh","-c","nginx -s quit; while killall -0 nginx; do sleep 1; done"]


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: lifecycle-demo
spec:
  containers:
  - name: lifecycle-demo-container
    image: nginx
    lifecycle:
      postStart:
        exec:
          command: ["/bin/sh", "-c", "echo Hello from the postStart handler > /usr/share/message"]
      preStop:
        exec:
          command: ["/bin/sh","-c","nginx -s quit; while killall -0 nginx; do sleep 1; done"]

Response: This yaml code Attach Handlers to Container Lifecycle Events | In the configuration file, you can see that the postStart command writes a message file to the Container's /usr/share directory. The preStop command shuts down nginx gracefully. This is helpful if the


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/pods/lifecycle-events.yaml

Response: This bash code Attach Handlers to Container Lifecycle Events | Verify that the Container in the Pod is running:


Prompt:
Complete this yaml code:

pods/lifecycle-events.yaml
apiVersion: v1
kind: Pod
metadata:
  name: lifecycle-demo
spec:
  containers:
  - name: lifecycle-demo-container

Response:
    image: nginx
    lifecycle:
      postStart:
        exec:
          command: ["/bin/sh", "-c", "echo Hello from the postStart handler > /usr/share/message"]
      preStop:
        exec:
          command: ["/bin/sh","-c","nginx -s quit; while killall -0 nginx; do sleep 1; done"]


Prompt:
Explain this yaml code:

pods/lifecycle-events.yaml
apiVersion: v1
kind: Pod
metadata:
  name: lifecycle-demo
spec:
  containers:
  - name: lifecycle-demo-container
    image: nginx
    lifecycle:
      postStart:
        exec:
          command: ["/bin/sh", "-c", "echo Hello from the postStart handler > /usr/share/message"]
      preStop:
        exec:
          command: ["/bin/sh","-c","nginx -s quit; while killall -0 nginx; do sleep 1; done"]

Response: This yaml code Attach Handlers to Container Lifecycle Events | In the configuration file, you can see that the postStart command writes a message file to the Container's /usr/share directory. The preStop command shuts down nginx gracefully. This is helpful if the


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: lifecycle-demo
spec:
  containers:
  - name: lifecycle-demo-container

Response:
    image: nginx
    lifecycle:
      postStart:
        exec:
          command: ["/bin/sh", "-c", "echo Hello from the postStart handler > /usr/share/message"]
      preStop:
        exec:
          command: ["/bin/sh","-c","nginx -s quit; while killall -0 nginx; do sleep 1; done"]


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: lifecycle-demo
spec:
  containers:
  - name: lifecycle-demo-container
    image: nginx
    lifecycle:
      postStart:
        exec:
          command: ["/bin/sh", "-c", "echo Hello from the postStart handler > /usr/share/message"]
      preStop:
        exec:
          command: ["/bin/sh","-c","nginx -s quit; while killall -0 nginx; do sleep 1; done"]

Response: This yaml code Attach Handlers to Container Lifecycle Events | In the configuration file, you can see that the postStart command writes a message file to the Container's /usr/share directory. The preStop command shuts down nginx gracefully. This is helpful if the


Prompt:
Explain this bash code:

kubectl set image deployments/kubernetes-bootcamp kubernetes-bootcamp=docker.io/jocatalin/kubernetes-bootcamp:v2

Response: This bash code Performing a Rolling Update | The command notified the Deployment to use a different image for your app and initiated a rolling update. Check the status of the new Pods, and view the old one terminating with the get pods subcomman

Context: Performing a Rolling Update | The command notified the Deployment to use a different image for your app and initiated a rolling update. Check the status of the new Pods, and view the old one terminating with the get pods subcomman


Prompt:
Explain this bash code:

kubectl expose deployment/kubernetes-bootcamp --type="NodePort" --port 8080

Response: This bash code Performing a Rolling Update | Create an environment variable called NODE_PORT that has the value of the Node port assigned:

Context: Performing a Rolling Update | Create an environment variable called NODE_PORT that has the value of the Node port assigned:


Prompt:
Explain this text code:

export NODE_PORT="$(kubectl get services/kubernetes-bootcamp -o go-template='{{(index .spec.ports 0).nodePort}}')"
echo "NODE_PORT=$NODE_PORT"

Response: This text code Performing a Rolling Update | Next, do a curl to the exposed IP and port:

Context: Performing a Rolling Update | Next, do a curl to the exposed IP and port:


Prompt:
Explain this bash code:

kubectl rollout status deployments/kubernetes-bootcamp

Response: This bash code Performing a Rolling Update | To view the current image version of the app, run the describe pods subcommand:

Context: Performing a Rolling Update | To view the current image version of the app, run the describe pods subcommand:


Prompt:
Explain this bash code:

kubectl set image deployments/kubernetes-bootcamp kubernetes-bootcamp=gcr.io/google-samples/kubernetes-bootcamp:v10

Response: This bash code Performing a Rolling Update | Use get deployments to see the status of the deployment:

Context: Performing a Rolling Update | Use get deployments to see the status of the deployment:


Prompt:
Explain this bash code:

kubectl rollout undo deployments/kubernetes-bootcamp

Response: This bash code Performing a Rolling Update | The rollout undo command reverts the deployment to the previous known state (v2 of the image). Updates are versioned and you can revert to any previously known state of a Deployment.

Context: Performing a Rolling Update | The rollout undo command reverts the deployment to the previous known state (v2 of the image). Updates are versioned and you can revert to any previously known state of a Deployment.


Prompt:
Explain this bash code:

kubectl delete deployments/kubernetes-bootcamp services/kubernetes-bootcamp

Response: This bash code Performing a Rolling Update |

Context: Performing a Rolling Update |


Prompt:
Explain this shell code:

kubectl set image deployments/kubernetes-bootcamp kubernetes-bootcamp=docker.io/jocatalin/kubernetes-bootcamp:v2

Response: This shell code Performing a Rolling Update | The command notified the Deployment to use a different image for your app and initiated a rolling update. Check the status of the new Pods, and view the old one terminating with the get pods subcomman


Prompt:
Explain this shell code:

kubectl expose deployment/kubernetes-bootcamp --type="NodePort" --port 8080

Response: This shell code Performing a Rolling Update | Create an environment variable called NODE_PORT that has the value of the Node port assigned:


Prompt:
Explain this shell code:

export NODE_PORT="$(kubectl get services/kubernetes-bootcamp -o go-template='{{(index .spec.ports 0).nodePort}}')"
echo "NODE_PORT=$NODE_PORT"

Response: This shell code Performing a Rolling Update | Next, do a curl to the exposed IP and port:


Prompt:
Explain this shell code:

kubectl rollout status deployments/kubernetes-bootcamp

Response: This shell code Performing a Rolling Update | To view the current image version of the app, run the describe pods subcommand:


Prompt:
Explain this shell code:

kubectl set image deployments/kubernetes-bootcamp kubernetes-bootcamp=gcr.io/google-samples/kubernetes-bootcamp:v10

Response: This shell code Performing a Rolling Update | Use get deployments to see the status of the deployment:


Prompt:
Explain this shell code:

kubectl rollout undo deployments/kubernetes-bootcamp

Response: This shell code Performing a Rolling Update | The rollout undo command reverts the deployment to the previous known state (v2 of the image). Updates are versioned and you can revert to any previously known state of a Deployment.


Prompt:
Explain this shell code:

kubectl delete deployments/kubernetes-bootcamp services/kubernetes-bootcamp

Response: This shell code Performing a Rolling Update |

Context: Performing a Rolling Update |


Prompt:
Explain this bash code:

kubectl set image deployments/kubernetes-bootcamp kubernetes-bootcamp=docker.io/jocatalin/kubernetes-bootcamp:v2

Response: This bash code Performing a Rolling Update | The command notified the Deployment to use a different image for your app and initiated a rolling update. Check the status of the new Pods, and view the old one terminating with the get pods subcomman


Prompt:
Explain this bash code:

kubectl expose deployment/kubernetes-bootcamp --type="NodePort" --port 8080

Response: This bash code Performing a Rolling Update | Create an environment variable called NODE_PORT that has the value of the Node port assigned:


Prompt:
Explain this text code:

export NODE_PORT="$(kubectl get services/kubernetes-bootcamp -o go-template='{{(index .spec.ports 0).nodePort}}')"
echo "NODE_PORT=$NODE_PORT"

Response: This text code Performing a Rolling Update | Next, do a curl to the exposed IP and port:


Prompt:
Explain this bash code:

kubectl rollout status deployments/kubernetes-bootcamp

Response: This bash code Performing a Rolling Update | To view the current image version of the app, run the describe pods subcommand:


Prompt:
Explain this bash code:

kubectl set image deployments/kubernetes-bootcamp kubernetes-bootcamp=gcr.io/google-samples/kubernetes-bootcamp:v10

Response: This bash code Performing a Rolling Update | Use get deployments to see the status of the deployment:


Prompt:
Explain this bash code:

kubectl rollout undo deployments/kubernetes-bootcamp

Response: This bash code Performing a Rolling Update | The rollout undo command reverts the deployment to the previous known state (v2 of the image). Updates are versioned and you can revert to any previously known state of a Deployment.


Prompt:
Explain this bash code:

kubectl delete deployments/kubernetes-bootcamp services/kubernetes-bootcamp

Response: This bash code Performing a Rolling Update |

Context: Performing a Rolling Update |


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: cpu-pressure-pod
spec:
  restartPolicy: Never
  containers:
  - name: cpu-stress
    image: registry.k8s.io/e2e-test-images/agnhost:2.47

Response:
    args:
    - "stress"
    - "--cpus"
    - "1"
    resources:
      limits:
        cpu: "500m"
      requests:
        cpu: "500m"

Context: Understand Pressure Stall Information (PSI) Metrics | Apply it to your cluster: kubectl apply -f cpu-pressure-pod.yaml


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: cpu-pressure-pod
spec:
  restartPolicy: Never
  containers:
  - name: cpu-stress
    image: registry.k8s.io/e2e-test-images/agnhost:2.47
    args:
    - "stress"
    - "--cpus"
    - "1"
    resources:
      limits:
        cpu: "500m"
      requests:
        cpu: "500m"

Response: This yaml code Understand Pressure Stall Information (PSI) Metrics | Apply it to your cluster: kubectl apply -f cpu-pressure-pod.yaml


Prompt:
Explain this text code:

# Replace <node-name> with the name of a node in your cluster
kubectl get --raw "/api/v1/nodes/<node-name>/proxy/stats/summary" | jq '.pods[] | select(.podRef.name | contains("cpu-pressure-pod"))'

Response: This text code Understand Pressure Stall Information (PSI) Metrics | You will see the some PSI metrics for CPU increase in the summary API output. The avg10 value for some pressure should rise above zero, indicating that tasks are spending time stalled on the CPU.

Context: Understand Pressure Stall Information (PSI) Metrics | You will see the some PSI metrics for CPU increase in the summary API output. The avg10 value for some pressure should rise above zero, indicating that tasks are spending time stalled on the CPU.


Prompt:
Explain this text code:

# Replace <node-name> with the name of the node where the pod is running
kubectl get --raw "/api/v1/nodes/<node-name>/proxy/metrics/cadvisor" | \
    grep 'container_pressure_cpu_waiting_seconds_total{container="cpu-stress"'

Response: This text code Understand Pressure Stall Information (PSI) Metrics | The output should show an increasing value, indicating that the container is spending time stalled waiting for CPU resources.

Context: Understand Pressure Stall Information (PSI) Metrics | The output should show an increasing value, indicating that the container is spending time stalled waiting for CPU resources.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: memory-pressure-pod
spec:
  restartPolicy: Never
  containers:
  - name: memory-stress

Response:
    image: registry.k8s.io/e2e-test-images/agnhost:2.47
    command: ["/bin/sh", "-c"]
    args:
    - "i=0; while true; do dd if=/dev/zero of=testfile.$i bs=1M count=50 &>/dev/null; i=$(((i+1)%5)); sleep 0.1; done"
    resources:
      limits:
        memory: "200M"
      requests:
        memory: "200M"

Context: Understand Pressure Stall Information (PSI) Metrics | Apply it to your cluster: kubectl apply -f memory-pressure-pod.yaml


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: memory-pressure-pod
spec:
  restartPolicy: Never
  containers:
  - name: memory-stress
    image: registry.k8s.io/e2e-test-images/agnhost:2.47
    command: ["/bin/sh", "-c"]
    args:
    - "i=0; while true; do dd if=/dev/zero of=testfile.$i bs=1M count=50 &>/dev/null; i=$(((i+1)%5)); sleep 0.1; done"
    resources:
      limits:
        memory: "200M"
      requests:
        memory: "200M"

Response: This yaml code Understand Pressure Stall Information (PSI) Metrics | Apply it to your cluster: kubectl apply -f memory-pressure-pod.yaml


Prompt:
Explain this text code:

# Replace <node-name> with the name of a node in your cluster
kubectl get --raw "/api/v1/nodes/<node-name>/proxy/stats/summary" | jq '.pods[] | select(.podRef.name | contains("memory-pressure-pod"))'

Response: This text code Understand Pressure Stall Information (PSI) Metrics | Using the Prometheus metrics endpoint:

Context: Understand Pressure Stall Information (PSI) Metrics | Using the Prometheus metrics endpoint:


Prompt:
Explain this text code:

# Replace <node-name> with the name of the node where the pod is running
kubectl get --raw "/api/v1/nodes/<node-name>/proxy/metrics/cadvisor" | \
    grep 'container_pressure_memory_waiting_seconds_total{container="memory-stress"'

Response: This text code Understand Pressure Stall Information (PSI) Metrics | In the output, you will observe an increasing value for the metric, indicating that the system is under significant memory pressure.

Context: Understand Pressure Stall Information (PSI) Metrics | In the output, you will observe an increasing value for the metric, indicating that the system is under significant memory pressure.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: io-pressure-pod
spec:
  restartPolicy: Never

Response:
  containers:
  - name: io-stress
    image: registry.k8s.io/e2e-test-images/agnhost:2.47
    command: ["/bin/sh", "-c"]
    args:
      - "while true; do dd if=/dev/zero of=testfile bs=1M count=128 &>/dev/null; sync; rm testfile &>/dev/null; done"

Context: Understand Pressure Stall Information (PSI) Metrics | Apply this to your cluster: kubectl apply -f io-pressure-pod.yaml


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: io-pressure-pod
spec:
  restartPolicy: Never
  containers:
  - name: io-stress
    image: registry.k8s.io/e2e-test-images/agnhost:2.47
    command: ["/bin/sh", "-c"]
    args:
      - "while true; do dd if=/dev/zero of=testfile bs=1M count=128 &>/dev/null; sync; rm testfile &>/dev/null; done"

Response: This yaml code Understand Pressure Stall Information (PSI) Metrics | Apply this to your cluster: kubectl apply -f io-pressure-pod.yaml


Prompt:
Explain this text code:

# Replace <node-name> with the name of a node in your cluster
kubectl get --raw "/api/v1/nodes/<node-name>/proxy/stats/summary" | jq '.pods[] | select(.podRef.name | contains("io-pressure-pod"))'

Response: This text code Understand Pressure Stall Information (PSI) Metrics | Using the Prometheus metrics endpoint:


Prompt:
Explain this text code:

# Replace <node-name> with the name of the node where the pod is running
kubectl get --raw "/api/v1/nodes/<node-name>/proxy/metrics/cadvisor" | \
    grep 'container_pressure_io_waiting_seconds_total{container="io-stress"'

Response: This text code Understand Pressure Stall Information (PSI) Metrics | You will see the metric's value increase as the Pod continuously writes to disk.

Context: Understand Pressure Stall Information (PSI) Metrics | You will see the metric's value increase as the Pod continuously writes to disk.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: cpu-pressure-pod
spec:
  restartPolicy: Never
  containers:
  - name: cpu-stress
    image: registry.k8s.io/e2e-test-images/agnhost:2.47

Response:
    args:
    - "stress"
    - "--cpus"
    - "1"
    resources:
      limits:
        cpu: "500m"
      requests:
        cpu: "500m"


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: cpu-pressure-pod
spec:
  restartPolicy: Never
  containers:
  - name: cpu-stress
    image: registry.k8s.io/e2e-test-images/agnhost:2.47
    args:
    - "stress"
    - "--cpus"
    - "1"
    resources:
      limits:
        cpu: "500m"
      requests:
        cpu: "500m"

Response: This yaml code Understand Pressure Stall Information (PSI) Metrics | Apply it to your cluster: kubectl apply -f cpu-pressure-pod.yaml


Prompt:
Explain this shell code:

# Replace <node-name> with the name of a node in your cluster
kubectl get --raw "/api/v1/nodes/<node-name>/proxy/stats/summary" | jq '.pods[] | select(.podRef.name | contains("cpu-pressure-pod"))'

Response: This shell code Understand Pressure Stall Information (PSI) Metrics | You will see the some PSI metrics for CPU increase in the summary API output. The avg10 value for some pressure should rise above zero, indicating that tasks are spending time stalled on the CPU.


Prompt:
Explain this shell code:

# Replace <node-name> with the name of the node where the pod is running
kubectl get --raw "/api/v1/nodes/<node-name>/proxy/metrics/cadvisor" | \
    grep 'container_pressure_cpu_waiting_seconds_total{container="cpu-stress"'

Response: This shell code Understand Pressure Stall Information (PSI) Metrics | The output should show an increasing value, indicating that the container is spending time stalled waiting for CPU resources.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: memory-pressure-pod
spec:
  restartPolicy: Never
  containers:
  - name: memory-stress

Response:
    image: registry.k8s.io/e2e-test-images/agnhost:2.47
    command: ["/bin/sh", "-c"]
    args:
    - "i=0; while true; do dd if=/dev/zero of=testfile.$i bs=1M count=50 &>/dev/null; i=$(((i+1)%5)); sleep 0.1; done"
    resources:
      limits:
        memory: "200M"
      requests:
        memory: "200M"


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: memory-pressure-pod
spec:
  restartPolicy: Never
  containers:
  - name: memory-stress
    image: registry.k8s.io/e2e-test-images/agnhost:2.47
    command: ["/bin/sh", "-c"]
    args:
    - "i=0; while true; do dd if=/dev/zero of=testfile.$i bs=1M count=50 &>/dev/null; i=$(((i+1)%5)); sleep 0.1; done"
    resources:
      limits:
        memory: "200M"
      requests:
        memory: "200M"

Response: This yaml code Understand Pressure Stall Information (PSI) Metrics | Apply it to your cluster: kubectl apply -f memory-pressure-pod.yaml


Prompt:
Explain this shell code:

# Replace <node-name> with the name of a node in your cluster
kubectl get --raw "/api/v1/nodes/<node-name>/proxy/stats/summary" | jq '.pods[] | select(.podRef.name | contains("memory-pressure-pod"))'

Response: This shell code Understand Pressure Stall Information (PSI) Metrics | Using the Prometheus metrics endpoint:


Prompt:
Explain this shell code:

# Replace <node-name> with the name of the node where the pod is running
kubectl get --raw "/api/v1/nodes/<node-name>/proxy/metrics/cadvisor" | \
    grep 'container_pressure_memory_waiting_seconds_total{container="memory-stress"'

Response: This shell code Understand Pressure Stall Information (PSI) Metrics | In the output, you will observe an increasing value for the metric, indicating that the system is under significant memory pressure.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: io-pressure-pod
spec:
  restartPolicy: Never

Response:
  containers:
  - name: io-stress
    image: registry.k8s.io/e2e-test-images/agnhost:2.47
    command: ["/bin/sh", "-c"]
    args:
      - "while true; do dd if=/dev/zero of=testfile bs=1M count=128 &>/dev/null; sync; rm testfile &>/dev/null; done"


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: io-pressure-pod
spec:
  restartPolicy: Never
  containers:
  - name: io-stress
    image: registry.k8s.io/e2e-test-images/agnhost:2.47
    command: ["/bin/sh", "-c"]
    args:
      - "while true; do dd if=/dev/zero of=testfile bs=1M count=128 &>/dev/null; sync; rm testfile &>/dev/null; done"

Response: This yaml code Understand Pressure Stall Information (PSI) Metrics | Apply this to your cluster: kubectl apply -f io-pressure-pod.yaml


Prompt:
Explain this shell code:

# Replace <node-name> with the name of a node in your cluster
kubectl get --raw "/api/v1/nodes/<node-name>/proxy/stats/summary" | jq '.pods[] | select(.podRef.name | contains("io-pressure-pod"))'

Response: This shell code Understand Pressure Stall Information (PSI) Metrics | Using the Prometheus metrics endpoint:


Prompt:
Explain this shell code:

# Replace <node-name> with the name of the node where the pod is running
kubectl get --raw "/api/v1/nodes/<node-name>/proxy/metrics/cadvisor" | \
    grep 'container_pressure_io_waiting_seconds_total{container="io-stress"'

Response: This shell code Understand Pressure Stall Information (PSI) Metrics | You will see the metric's value increase as the Pod continuously writes to disk.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: cpu-pressure-pod
spec:
  restartPolicy: Never
  containers:
  - name: cpu-stress
    image: registry.k8s.io/e2e-test-images/agnhost:2.47

Response:
    args:
    - "stress"
    - "--cpus"
    - "1"
    resources:
      limits:
        cpu: "500m"
      requests:
        cpu: "500m"


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: cpu-pressure-pod
spec:
  restartPolicy: Never
  containers:
  - name: cpu-stress
    image: registry.k8s.io/e2e-test-images/agnhost:2.47
    args:
    - "stress"
    - "--cpus"
    - "1"
    resources:
      limits:
        cpu: "500m"
      requests:
        cpu: "500m"

Response: This yaml code Understand Pressure Stall Information (PSI) Metrics | Apply it to your cluster: kubectl apply -f cpu-pressure-pod.yaml


Prompt:
Explain this text code:

# Replace <node-name> with the name of a node in your cluster
kubectl get --raw "/api/v1/nodes/<node-name>/proxy/stats/summary" | jq '.pods[] | select(.podRef.name | contains("cpu-pressure-pod"))'

Response: This text code Understand Pressure Stall Information (PSI) Metrics | You will see the some PSI metrics for CPU increase in the summary API output. The avg10 value for some pressure should rise above zero, indicating that tasks are spending time stalled on the CPU.


Prompt:
Explain this text code:

# Replace <node-name> with the name of the node where the pod is running
kubectl get --raw "/api/v1/nodes/<node-name>/proxy/metrics/cadvisor" | \
    grep 'container_pressure_cpu_waiting_seconds_total{container="cpu-stress"'

Response: This text code Understand Pressure Stall Information (PSI) Metrics | The output should show an increasing value, indicating that the container is spending time stalled waiting for CPU resources.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: memory-pressure-pod
spec:
  restartPolicy: Never
  containers:
  - name: memory-stress

Response:
    image: registry.k8s.io/e2e-test-images/agnhost:2.47
    command: ["/bin/sh", "-c"]
    args:
    - "i=0; while true; do dd if=/dev/zero of=testfile.$i bs=1M count=50 &>/dev/null; i=$(((i+1)%5)); sleep 0.1; done"
    resources:
      limits:
        memory: "200M"
      requests:
        memory: "200M"


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: memory-pressure-pod
spec:
  restartPolicy: Never
  containers:
  - name: memory-stress
    image: registry.k8s.io/e2e-test-images/agnhost:2.47
    command: ["/bin/sh", "-c"]
    args:
    - "i=0; while true; do dd if=/dev/zero of=testfile.$i bs=1M count=50 &>/dev/null; i=$(((i+1)%5)); sleep 0.1; done"
    resources:
      limits:
        memory: "200M"
      requests:
        memory: "200M"

Response: This yaml code Understand Pressure Stall Information (PSI) Metrics | Apply it to your cluster: kubectl apply -f memory-pressure-pod.yaml


Prompt:
Explain this text code:

# Replace <node-name> with the name of a node in your cluster
kubectl get --raw "/api/v1/nodes/<node-name>/proxy/stats/summary" | jq '.pods[] | select(.podRef.name | contains("memory-pressure-pod"))'

Response: This text code Understand Pressure Stall Information (PSI) Metrics | Using the Prometheus metrics endpoint:


Prompt:
Explain this text code:

# Replace <node-name> with the name of the node where the pod is running
kubectl get --raw "/api/v1/nodes/<node-name>/proxy/metrics/cadvisor" | \
    grep 'container_pressure_memory_waiting_seconds_total{container="memory-stress"'

Response: This text code Understand Pressure Stall Information (PSI) Metrics | In the output, you will observe an increasing value for the metric, indicating that the system is under significant memory pressure.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: io-pressure-pod
spec:
  restartPolicy: Never

Response:
  containers:
  - name: io-stress
    image: registry.k8s.io/e2e-test-images/agnhost:2.47
    command: ["/bin/sh", "-c"]
    args:
      - "while true; do dd if=/dev/zero of=testfile bs=1M count=128 &>/dev/null; sync; rm testfile &>/dev/null; done"


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: io-pressure-pod
spec:
  restartPolicy: Never
  containers:
  - name: io-stress
    image: registry.k8s.io/e2e-test-images/agnhost:2.47
    command: ["/bin/sh", "-c"]
    args:
      - "while true; do dd if=/dev/zero of=testfile bs=1M count=128 &>/dev/null; sync; rm testfile &>/dev/null; done"

Response: This yaml code Understand Pressure Stall Information (PSI) Metrics | Apply this to your cluster: kubectl apply -f io-pressure-pod.yaml


Prompt:
Explain this text code:

# Replace <node-name> with the name of a node in your cluster
kubectl get --raw "/api/v1/nodes/<node-name>/proxy/stats/summary" | jq '.pods[] | select(.podRef.name | contains("io-pressure-pod"))'

Response: This text code Understand Pressure Stall Information (PSI) Metrics | Using the Prometheus metrics endpoint:


Prompt:
Explain this text code:

# Replace <node-name> with the name of the node where the pod is running
kubectl get --raw "/api/v1/nodes/<node-name>/proxy/metrics/cadvisor" | \
    grep 'container_pressure_io_waiting_seconds_total{container="io-stress"'

Response: This text code Understand Pressure Stall Information (PSI) Metrics | You will see the metric's value increase as the Pod continuously writes to disk.


Prompt:
Explain this bash code:

kubectl create role NAME --verb=verb --resource=resource.group/subresource [--resource-name=resourcename] [--dry-run=server|client|none]

Response: This bash code kubectl create role | If true, ignore any errors in templates when a field or map key is missing in the template. Only applies to golang and jsonpath output formats.

Context: kubectl create role | If true, ignore any errors in templates when a field or map key is missing in the template. Only applies to golang and jsonpath output formats.


Prompt:
Complete this text code:

# Create a role named "pod-reader" that allows user to perform "get", "watch" and "list" on pods
  kubectl create role pod-reader --verb=get --verb=list --verb=watch --resource=pods

  # Create a role named "pod-reader" with ResourceName specified
  kubectl create role pod-reader --verb=get --resource=pods --resource-name=readablepod --resource-name=anotherpod

Response:
  # Create a role named "foo" with API Group specified
  kubectl create role foo --verb=get,list,watch --resource=rs.apps

  # Create a role named "foo" with SubResource specified
  kubectl create role foo --verb=get,list,watch --resource=pods,pods/status


Prompt:
Explain this text code:

# Create a role named "pod-reader" that allows user to perform "get", "watch" and "list" on pods
  kubectl create role pod-reader --verb=get --verb=list --verb=watch --resource=pods

  # Create a role named "pod-reader" with ResourceName specified
  kubectl create role pod-reader --verb=get --resource=pods --resource-name=readablepod --resource-name=anotherpod

  # Create a role named "foo" with API Group specified
  kubectl create role foo --verb=get,list,watch --resource=rs.apps

  # Create a role named "foo" with SubResource specified
  kubectl create role foo --verb=get,list,watch --resource=pods,pods/status

Response: This text code kubectl create role | If true, ignore any errors in templates when a field or map key is missing in the template. Only applies to golang and jsonpath output formats.


Prompt:
Explain this bash code:

kubectl create role NAME --verb=verb --resource=resource.group/subresource [--resource-name=resourcename] [--dry-run=server|client|none]

Response: This bash code kubectl create role | If true, ignore any errors in templates when a field or map key is missing in the template. Only applies to golang and jsonpath output formats.


Prompt:
Complete this text code:

# Create a role named "pod-reader" that allows user to perform "get", "watch" and "list" on pods
  kubectl create role pod-reader --verb=get --verb=list --verb=watch --resource=pods

  # Create a role named "pod-reader" with ResourceName specified
  kubectl create role pod-reader --verb=get --resource=pods --resource-name=readablepod --resource-name=anotherpod

Response:
  # Create a role named "foo" with API Group specified
  kubectl create role foo --verb=get,list,watch --resource=rs.apps

  # Create a role named "foo" with SubResource specified
  kubectl create role foo --verb=get,list,watch --resource=pods,pods/status


Prompt:
Explain this text code:

# Create a role named "pod-reader" that allows user to perform "get", "watch" and "list" on pods
  kubectl create role pod-reader --verb=get --verb=list --verb=watch --resource=pods

  # Create a role named "pod-reader" with ResourceName specified
  kubectl create role pod-reader --verb=get --resource=pods --resource-name=readablepod --resource-name=anotherpod

  # Create a role named "foo" with API Group specified
  kubectl create role foo --verb=get,list,watch --resource=rs.apps

  # Create a role named "foo" with SubResource specified
  kubectl create role foo --verb=get,list,watch --resource=pods,pods/status

Response: This text code kubectl create role | If true, ignore any errors in templates when a field or map key is missing in the template. Only applies to golang and jsonpath output formats.


Prompt:
Complete this text code:

# Replace a pod using the data in pod.json
  kubectl replace -f ./pod.json

  # Replace a pod based on the JSON passed into stdin
  cat pod.json | kubectl replace -f -

Response:
  # Update a single-container pod's image version (tag) to v4
  kubectl get pod mypod -o yaml | sed 's/\(image: myimage\):.*$/\1:v4/' | kubectl replace -f -

  # Force replace, delete and then re-create the resource
  kubectl replace --force -f ./pod.json

Context: kubectl replace | If true, ignore any errors in templates when a field or map key is missing in the template. Only applies to golang and jsonpath output formats.


Prompt:
Explain this text code:

# Replace a pod using the data in pod.json
  kubectl replace -f ./pod.json

  # Replace a pod based on the JSON passed into stdin
  cat pod.json | kubectl replace -f -

  # Update a single-container pod's image version (tag) to v4
  kubectl get pod mypod -o yaml | sed 's/\(image: myimage\):.*$/\1:v4/' | kubectl replace -f -

  # Force replace, delete and then re-create the resource
  kubectl replace --force -f ./pod.json

Response: This text code kubectl replace | If true, ignore any errors in templates when a field or map key is missing in the template. Only applies to golang and jsonpath output formats.


Prompt:
Complete this text code:

# Replace a pod using the data in pod.json
  kubectl replace -f ./pod.json

  # Replace a pod based on the JSON passed into stdin
  cat pod.json | kubectl replace -f -

Response:
  # Update a single-container pod's image version (tag) to v4
  kubectl get pod mypod -o yaml | sed 's/\(image: myimage\):.*$/\1:v4/' | kubectl replace -f -

  # Force replace, delete and then re-create the resource
  kubectl replace --force -f ./pod.json


Prompt:
Explain this text code:

# Replace a pod using the data in pod.json
  kubectl replace -f ./pod.json

  # Replace a pod based on the JSON passed into stdin
  cat pod.json | kubectl replace -f -

  # Update a single-container pod's image version (tag) to v4
  kubectl get pod mypod -o yaml | sed 's/\(image: myimage\):.*$/\1:v4/' | kubectl replace -f -

  # Force replace, delete and then re-create the resource
  kubectl replace --force -f ./pod.json

Response: This text code kubectl replace | If true, ignore any errors in templates when a field or map key is missing in the template. Only applies to golang and jsonpath output formats.


Prompt:
Explain this text code:

sudo kubeadm join --token <token> <control-plane-host>:<control-plane-port> --discovery-token-ca-cert-hash sha256:<hash>

Response: This text code Adding Linux worker nodes | If you do not have the token, you can get it by running the following command on the control plane node:

Context: Adding Linux worker nodes | If you do not have the token, you can get it by running the following command on the control plane node:


Prompt:
Explain this text code:

# Run this on a control plane node
sudo kubeadm token list

Response: This text code Adding Linux worker nodes | The output is similar to this:

Context: Adding Linux worker nodes | The output is similar to this:


Prompt:
Complete this text code:

TOKEN                    TTL  EXPIRES              USAGES           DESCRIPTION            EXTRA GROUPS
8ewj1p.9r9hcjoqgajrj4gi  23h  2018-06-12T02:51:28Z authentication,  The default bootstrap  system:

Response:
                                                   signing          token generated by     bootstrappers:
                                                                    'kubeadm init'.        kubeadm:
                                                                                default-node-token

Context: Adding Linux worker nodes | By default, node join tokens expire after 24 hours. If you are joining a node to the cluster after the current token has expired, you can create a new token by running the following command on the con


Prompt:
Explain this text code:

TOKEN                    TTL  EXPIRES              USAGES           DESCRIPTION            EXTRA GROUPS
8ewj1p.9r9hcjoqgajrj4gi  23h  2018-06-12T02:51:28Z authentication,  The default bootstrap  system:
                                                   signing          token generated by     bootstrappers:
                                                                    'kubeadm init'.        kubeadm:
                                                                                default-node-token

Response: This text code Adding Linux worker nodes | By default, node join tokens expire after 24 hours. If you are joining a node to the cluster after the current token has expired, you can create a new token by running the following command on the con


Prompt:
Explain this text code:

# Run this on a control plane node
sudo kubeadm token create

Response: This text code Adding Linux worker nodes | The output is similar to this:


Prompt:
Explain this text code:

# Run this on a control plane node
sudo cat /etc/kubernetes/pki/ca.crt | openssl x509 -pubkey  | openssl rsa -pubin -outform der 2>/dev/null | \
   openssl dgst -sha256 -hex | sed 's/^.* //'

Response: This text code Adding Linux worker nodes | The output is similar to:

Context: Adding Linux worker nodes | The output is similar to:


Prompt:
Explain this text code:

8cb2de97839780a412b93877f8507ad6c94f73add17d5d7058e91741c9d5ec78

Response: This text code Adding Linux worker nodes | The output of the kubeadm join command should look something like:

Context: Adding Linux worker nodes | The output of the kubeadm join command should look something like:


Prompt:
Complete this json code:

[preflight] Running pre-flight checks

... (log output of join workflow) ...

Node join complete:

Response:
* Certificate signing request sent to control-plane and response
  received.
* Kubelet informed of new secure connection details.

Run 'kubectl get nodes' on control-plane to see this machine join.

Context: Adding Linux worker nodes | A few seconds later, you should notice this node in the output from kubectl get nodes. (for example, run kubectl on a control plane node).


Prompt:
Explain this json code:

[preflight] Running pre-flight checks

... (log output of join workflow) ...

Node join complete:
* Certificate signing request sent to control-plane and response
  received.
* Kubelet informed of new secure connection details.

Run 'kubectl get nodes' on control-plane to see this machine join.

Response: This json code Adding Linux worker nodes | A few seconds later, you should notice this node in the output from kubectl get nodes. (for example, run kubectl on a control plane node).


Prompt:
Explain this bash code:

sudo kubeadm join --token <token> <control-plane-host>:<control-plane-port> --discovery-token-ca-cert-hash sha256:<hash>

Response: This bash code Adding Linux worker nodes | If you do not have the token, you can get it by running the following command on the control plane node:


Prompt:
Explain this bash code:

# Run this on a control plane node
sudo kubeadm token list

Response: This bash code Adding Linux worker nodes | The output is similar to this:


Prompt:
Complete this console code:

TOKEN                    TTL  EXPIRES              USAGES           DESCRIPTION            EXTRA GROUPS
8ewj1p.9r9hcjoqgajrj4gi  23h  2018-06-12T02:51:28Z authentication,  The default bootstrap  system:

Response:
                                                   signing          token generated by     bootstrappers:
                                                                    'kubeadm init'.        kubeadm:
                                                                                default-node-token