Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: nginx
  labels:
    env: test
spec:
  containers:
  - name: nginx
    image: nginx
    imagePullPolicy: IfNotPresent
  priorityClassName: high-priority

Response: This yaml code Pod Priority and Preemption | When Pod priority is enabled, the scheduler orders pending Pods by their priority and a pending Pod is placed ahead of other pending Pods with lower priority in the scheduling queue. As a result, the


Prompt:
Complete this yaml code:

apiVersion: resource.k8s.io/v1
kind: ResourceClaimTemplate
metadata:
  name: example-resource-claim-template
spec:
  spec:
    devices:
      requests:

Response:
      - name: gpu-claim
        exactly:
          deviceClassName: example-device-class
          selectors:
          - cel:
              expression: |-
                device.attributes["driver.example.com"].type == "gpu" &&
                device.capacity["driver.example.com"].memory == quantity("64Gi")

Context: Allocate Devices to Workloads with DRA | This manifest creates a ResourceClaimTemplate that requests devices in the example-device-class DeviceClass that match both of the following parameters:


Prompt:
Explain this yaml code:

apiVersion: resource.k8s.io/v1
kind: ResourceClaimTemplate
metadata:
  name: example-resource-claim-template
spec:
  spec:
    devices:
      requests:
      - name: gpu-claim
        exactly:
          deviceClassName: example-device-class
          selectors:
          - cel:
              expression: |-
                device.attributes["driver.example.com"].type == "gpu" &&
                device.capacity["driver.example.com"].memory == quantity("64Gi")

Response: This yaml code Allocate Devices to Workloads with DRA | This manifest creates a ResourceClaimTemplate that requests devices in the example-device-class DeviceClass that match both of the following parameters:


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/dra/resourceclaimtemplate.yaml

Response: This bash code Allocate Devices to Workloads with DRA | Review the following example manifest:dra/resourceclaim.yaml apiVersion: resource.k8s.io/v1 kind: ResourceClaim metadata: name: example-resource-claim spec: devices: requests: - name: sing

Context: Allocate Devices to Workloads with DRA | Review the following example manifest:dra/resourceclaim.yaml apiVersion: resource.k8s.io/v1 kind: ResourceClaim metadata: name: example-resource-claim spec: devices: requests: - name: sing


Prompt:
Complete this yaml code:

apiVersion: resource.k8s.io/v1
kind: ResourceClaim
metadata:
  name: example-resource-claim
spec:
  devices:
    requests:
    - name: single-gpu-claim

Response:
      exactly:
        deviceClassName: example-device-class
        allocationMode: All
        selectors:
        - cel:
            expression: |-
              device.attributes["driver.example.com"].type == "gpu" &&
              device.capacity["driver.example.com"].memory == quantity("64Gi")

Context: Allocate Devices to Workloads with DRA | This manifest creates ResourceClaim that requests devices in the example-device-class DeviceClass that match both of the following parameters:


Prompt:
Explain this yaml code:

apiVersion: resource.k8s.io/v1
kind: ResourceClaim
metadata:
  name: example-resource-claim
spec:
  devices:
    requests:
    - name: single-gpu-claim
      exactly:
        deviceClassName: example-device-class
        allocationMode: All
        selectors:
        - cel:
            expression: |-
              device.attributes["driver.example.com"].type == "gpu" &&
              device.capacity["driver.example.com"].memory == quantity("64Gi")

Response: This yaml code Allocate Devices to Workloads with DRA | This manifest creates ResourceClaim that requests devices in the example-device-class DeviceClass that match both of the following parameters:


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/dra/resourceclaim.yaml

Response: This bash code Allocate Devices to Workloads with DRA | To request device allocation, specify a ResourceClaim or a ResourceClaimTemplate in the resourceClaims field of the Pod specification. Then, request a specific claim by name in the resources.claims fi

Context: Allocate Devices to Workloads with DRA | To request device allocation, specify a ResourceClaim or a ResourceClaimTemplate in the resourceClaims field of the Pod specification. Then, request a specific claim by name in the resources.claims fi


Prompt:
Complete this yaml code:

apiVersion: batch/v1
kind: Job
metadata:
  name: example-dra-job
spec:
  completions: 10
  parallelism: 2
  template:
    spec:
      restartPolicy: Never
      containers:
      - name: container0
        image: ubuntu:24.04
        command: ["sleep", "9999"]
        resources:
          claims:
          - name: separate-gpu-claim

Response:
      - name: container1
        image: ubuntu:24.04
        command: ["sleep", "9999"]
        resources:
          claims:
          - name: shared-gpu-claim
      - name: container2
        image: ubuntu:24.04
        command: ["sleep", "9999"]
        resources:
          claims:
          - name: shared-gpu-claim
      resourceClaims:
      - name: separate-gpu-claim
        resourceClaimTemplateName: example-resource-claim-template
      - name: shared-gpu-claim
        resourceClaimName: example-resource-claim

Context: Allocate Devices to Workloads with DRA | Each Pod in this Job has the following properties:


Prompt:
Explain this yaml code:

apiVersion: batch/v1
kind: Job
metadata:
  name: example-dra-job
spec:
  completions: 10
  parallelism: 2
  template:
    spec:
      restartPolicy: Never
      containers:
      - name: container0
        image: ubuntu:24.04
        command: ["sleep", "9999"]
        resources:
          claims:
          - name: separate-gpu-claim
      - name: container1
        image: ubuntu:24.04
        command: ["sleep", "9999"]
        resources:
          claims:
          - name: shared-gpu-claim
      - name: container2
        image: ubuntu:24.04
        command: ["sleep", "9999"]
        resources:
          claims:
          - name: shared-gpu-claim
      resourceClaims:
      - name: separate-gpu-claim
        resourceClaimTemplateName: example-resource-claim-template
      - name: shared-gpu-claim
        resourceClaimName: example-resource-claim

Response: This yaml code Allocate Devices to Workloads with DRA | Each Pod in this Job has the following properties:


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/dra/dra-example-job.yaml

Response: This bash code Allocate Devices to Workloads with DRA | Try the following troubleshooting steps:

Context: Allocate Devices to Workloads with DRA | Try the following troubleshooting steps:


Prompt:
Explain this bash code:

kubectl delete -f https://k8s.io/examples/dra/dra-example-job.yaml

Response: This bash code Allocate Devices to Workloads with DRA | To delete your resource claims, run one of the following commands:

Context: Allocate Devices to Workloads with DRA | To delete your resource claims, run one of the following commands:


Prompt:
Explain this bash code:

kubectl delete -f https://k8s.io/examples/dra/resourceclaimtemplate.yaml

Response: This bash code Allocate Devices to Workloads with DRA | Delete the ResourceClaim:

Context: Allocate Devices to Workloads with DRA | Delete the ResourceClaim:


Prompt:
Explain this bash code:

kubectl delete -f https://k8s.io/examples/dra/resourceclaim.yaml

Response: This bash code Allocate Devices to Workloads with DRA |

Context: Allocate Devices to Workloads with DRA |


Prompt:
Complete this yaml code:

apiVersion: resource.k8s.io/v1
kind: ResourceClaimTemplate
metadata:
  name: example-resource-claim-template
spec:
  spec:
    devices:
      requests:

Response:
      - name: gpu-claim
        exactly:
          deviceClassName: example-device-class
          selectors:
          - cel:
              expression: |-
                device.attributes["driver.example.com"].type == "gpu" &&
                device.capacity["driver.example.com"].memory == quantity("64Gi")


Prompt:
Explain this yaml code:

apiVersion: resource.k8s.io/v1
kind: ResourceClaimTemplate
metadata:
  name: example-resource-claim-template
spec:
  spec:
    devices:
      requests:
      - name: gpu-claim
        exactly:
          deviceClassName: example-device-class
          selectors:
          - cel:
              expression: |-
                device.attributes["driver.example.com"].type == "gpu" &&
                device.capacity["driver.example.com"].memory == quantity("64Gi")

Response: This yaml code Allocate Devices to Workloads with DRA | This manifest creates a ResourceClaimTemplate that requests devices in the example-device-class DeviceClass that match both of the following parameters:


Prompt:
Explain this shell code:

kubectl apply -f https://k8s.io/examples/dra/resourceclaimtemplate.yaml

Response: This shell code Allocate Devices to Workloads with DRA | Review the following example manifest:dra/resourceclaim.yaml apiVersion: resource.k8s.io/v1 kind: ResourceClaim metadata: name: example-resource-claim spec: devices: requests: - name: sing


Prompt:
Complete this yaml code:

apiVersion: resource.k8s.io/v1
kind: ResourceClaim
metadata:
  name: example-resource-claim
spec:
  devices:
    requests:
    - name: single-gpu-claim

Response:
      exactly:
        deviceClassName: example-device-class
        allocationMode: All
        selectors:
        - cel:
            expression: |-
              device.attributes["driver.example.com"].type == "gpu" &&
              device.capacity["driver.example.com"].memory == quantity("64Gi")


Prompt:
Explain this yaml code:

apiVersion: resource.k8s.io/v1
kind: ResourceClaim
metadata:
  name: example-resource-claim
spec:
  devices:
    requests:
    - name: single-gpu-claim
      exactly:
        deviceClassName: example-device-class
        allocationMode: All
        selectors:
        - cel:
            expression: |-
              device.attributes["driver.example.com"].type == "gpu" &&
              device.capacity["driver.example.com"].memory == quantity("64Gi")

Response: This yaml code Allocate Devices to Workloads with DRA | This manifest creates ResourceClaim that requests devices in the example-device-class DeviceClass that match both of the following parameters:


Prompt:
Explain this shell code:

kubectl apply -f https://k8s.io/examples/dra/resourceclaim.yaml

Response: This shell code Allocate Devices to Workloads with DRA | To request device allocation, specify a ResourceClaim or a ResourceClaimTemplate in the resourceClaims field of the Pod specification. Then, request a specific claim by name in the resources.claims fi


Prompt:
Complete this yaml code:

apiVersion: batch/v1
kind: Job
metadata:
  name: example-dra-job
spec:
  completions: 10
  parallelism: 2
  template:
    spec:
      restartPolicy: Never
      containers:
      - name: container0
        image: ubuntu:24.04
        command: ["sleep", "9999"]
        resources:
          claims:
          - name: separate-gpu-claim

Response:
      - name: container1
        image: ubuntu:24.04
        command: ["sleep", "9999"]
        resources:
          claims:
          - name: shared-gpu-claim
      - name: container2
        image: ubuntu:24.04
        command: ["sleep", "9999"]
        resources:
          claims:
          - name: shared-gpu-claim
      resourceClaims:
      - name: separate-gpu-claim
        resourceClaimTemplateName: example-resource-claim-template
      - name: shared-gpu-claim
        resourceClaimName: example-resource-claim


Prompt:
Explain this yaml code:

apiVersion: batch/v1
kind: Job
metadata:
  name: example-dra-job
spec:
  completions: 10
  parallelism: 2
  template:
    spec:
      restartPolicy: Never
      containers:
      - name: container0
        image: ubuntu:24.04
        command: ["sleep", "9999"]
        resources:
          claims:
          - name: separate-gpu-claim
      - name: container1
        image: ubuntu:24.04
        command: ["sleep", "9999"]
        resources:
          claims:
          - name: shared-gpu-claim
      - name: container2
        image: ubuntu:24.04
        command: ["sleep", "9999"]
        resources:
          claims:
          - name: shared-gpu-claim
      resourceClaims:
      - name: separate-gpu-claim
        resourceClaimTemplateName: example-resource-claim-template
      - name: shared-gpu-claim
        resourceClaimName: example-resource-claim

Response: This yaml code Allocate Devices to Workloads with DRA | Each Pod in this Job has the following properties:


Prompt:
Explain this shell code:

kubectl apply -f https://k8s.io/examples/dra/dra-example-job.yaml

Response: This shell code Allocate Devices to Workloads with DRA | Try the following troubleshooting steps:


Prompt:
Explain this text code:

must specify one of: resourceClaimName, resourceClaimTemplateName

Response: This text code Allocate Devices to Workloads with DRA | To delete the Kubernetes objects that you created in this task, follow these steps:

Context: Allocate Devices to Workloads with DRA | To delete the Kubernetes objects that you created in this task, follow these steps:


Prompt:
Explain this shell code:

kubectl delete -f https://k8s.io/examples/dra/dra-example-job.yaml

Response: This shell code Allocate Devices to Workloads with DRA | To delete your resource claims, run one of the following commands:


Prompt:
Explain this shell code:

kubectl delete -f https://k8s.io/examples/dra/resourceclaimtemplate.yaml

Response: This shell code Allocate Devices to Workloads with DRA | Delete the ResourceClaim:


Prompt:
Explain this shell code:

kubectl delete -f https://k8s.io/examples/dra/resourceclaim.yaml

Response: This shell code Allocate Devices to Workloads with DRA |


Prompt:
Complete this yaml code:

dra/resourceclaimtemplate.yaml
apiVersion: resource.k8s.io/v1
kind: ResourceClaimTemplate
metadata:
  name: example-resource-claim-template
spec:
  spec:
    devices:

Response:
      requests:
      - name: gpu-claim
        exactly:
          deviceClassName: example-device-class
          selectors:
          - cel:
              expression: |-
                device.attributes["driver.example.com"].type == "gpu" &&
                device.capacity["driver.example.com"].memory == quantity("64Gi")


Prompt:
Explain this yaml code:

dra/resourceclaimtemplate.yaml
apiVersion: resource.k8s.io/v1
kind: ResourceClaimTemplate
metadata:
  name: example-resource-claim-template
spec:
  spec:
    devices:
      requests:
      - name: gpu-claim
        exactly:
          deviceClassName: example-device-class
          selectors:
          - cel:
              expression: |-
                device.attributes["driver.example.com"].type == "gpu" &&
                device.capacity["driver.example.com"].memory == quantity("64Gi")

Response: This yaml code Allocate Devices to Workloads with DRA | This manifest creates a ResourceClaimTemplate that requests devices in the example-device-class DeviceClass that match both of the following parameters:


Prompt:
Complete this yaml code:

apiVersion: resource.k8s.io/v1
kind: ResourceClaimTemplate
metadata:
  name: example-resource-claim-template
spec:
  spec:
    devices:
      requests:

Response:
      - name: gpu-claim
        exactly:
          deviceClassName: example-device-class
          selectors:
          - cel:
              expression: |-
                device.attributes["driver.example.com"].type == "gpu" &&
                device.capacity["driver.example.com"].memory == quantity("64Gi")


Prompt:
Explain this yaml code:

apiVersion: resource.k8s.io/v1
kind: ResourceClaimTemplate
metadata:
  name: example-resource-claim-template
spec:
  spec:
    devices:
      requests:
      - name: gpu-claim
        exactly:
          deviceClassName: example-device-class
          selectors:
          - cel:
              expression: |-
                device.attributes["driver.example.com"].type == "gpu" &&
                device.capacity["driver.example.com"].memory == quantity("64Gi")

Response: This yaml code Allocate Devices to Workloads with DRA | This manifest creates a ResourceClaimTemplate that requests devices in the example-device-class DeviceClass that match both of the following parameters:


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/dra/resourceclaimtemplate.yaml

Response: This bash code Allocate Devices to Workloads with DRA | Review the following example manifest:dra/resourceclaim.yaml apiVersion: resource.k8s.io/v1 kind: ResourceClaim metadata: name: example-resource-claim spec: devices: requests: - name: sing


Prompt:
Complete this yaml code:

dra/resourceclaim.yaml
apiVersion: resource.k8s.io/v1
kind: ResourceClaim
metadata:
  name: example-resource-claim
spec:
  devices:
    requests:

Response:
    - name: single-gpu-claim
      exactly:
        deviceClassName: example-device-class
        allocationMode: All
        selectors:
        - cel:
            expression: |-
              device.attributes["driver.example.com"].type == "gpu" &&
              device.capacity["driver.example.com"].memory == quantity("64Gi")


Prompt:
Explain this yaml code:

dra/resourceclaim.yaml
apiVersion: resource.k8s.io/v1
kind: ResourceClaim
metadata:
  name: example-resource-claim
spec:
  devices:
    requests:
    - name: single-gpu-claim
      exactly:
        deviceClassName: example-device-class
        allocationMode: All
        selectors:
        - cel:
            expression: |-
              device.attributes["driver.example.com"].type == "gpu" &&
              device.capacity["driver.example.com"].memory == quantity("64Gi")

Response: This yaml code Allocate Devices to Workloads with DRA | This manifest creates ResourceClaim that requests devices in the example-device-class DeviceClass that match both of the following parameters:


Prompt:
Complete this yaml code:

apiVersion: resource.k8s.io/v1
kind: ResourceClaim
metadata:
  name: example-resource-claim
spec:
  devices:
    requests:
    - name: single-gpu-claim

Response:
      exactly:
        deviceClassName: example-device-class
        allocationMode: All
        selectors:
        - cel:
            expression: |-
              device.attributes["driver.example.com"].type == "gpu" &&
              device.capacity["driver.example.com"].memory == quantity("64Gi")


Prompt:
Explain this yaml code:

apiVersion: resource.k8s.io/v1
kind: ResourceClaim
metadata:
  name: example-resource-claim
spec:
  devices:
    requests:
    - name: single-gpu-claim
      exactly:
        deviceClassName: example-device-class
        allocationMode: All
        selectors:
        - cel:
            expression: |-
              device.attributes["driver.example.com"].type == "gpu" &&
              device.capacity["driver.example.com"].memory == quantity("64Gi")

Response: This yaml code Allocate Devices to Workloads with DRA | This manifest creates ResourceClaim that requests devices in the example-device-class DeviceClass that match both of the following parameters:


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/dra/resourceclaim.yaml

Response: This bash code Allocate Devices to Workloads with DRA | To request device allocation, specify a ResourceClaim or a ResourceClaimTemplate in the resourceClaims field of the Pod specification. Then, request a specific claim by name in the resources.claims fi


Prompt:
Complete this yaml code:

dra/dra-example-job.yaml
apiVersion: batch/v1
kind: Job
metadata:
  name: example-dra-job
spec:
  completions: 10
  parallelism: 2
  template:
    spec:
      restartPolicy: Never
      containers:
      - name: container0
        image: ubuntu:24.04
        command: ["sleep", "9999"]
        resources:
          claims:

Response:
          - name: separate-gpu-claim
      - name: container1
        image: ubuntu:24.04
        command: ["sleep", "9999"]
        resources:
          claims:
          - name: shared-gpu-claim
      - name: container2
        image: ubuntu:24.04
        command: ["sleep", "9999"]
        resources:
          claims:
          - name: shared-gpu-claim
      resourceClaims:
      - name: separate-gpu-claim
        resourceClaimTemplateName: example-resource-claim-template
      - name: shared-gpu-claim
        resourceClaimName: example-resource-claim


Prompt:
Explain this yaml code:

dra/dra-example-job.yaml
apiVersion: batch/v1
kind: Job
metadata:
  name: example-dra-job
spec:
  completions: 10
  parallelism: 2
  template:
    spec:
      restartPolicy: Never
      containers:
      - name: container0
        image: ubuntu:24.04
        command: ["sleep", "9999"]
        resources:
          claims:
          - name: separate-gpu-claim
      - name: container1
        image: ubuntu:24.04
        command: ["sleep", "9999"]
        resources:
          claims:
          - name: shared-gpu-claim
      - name: container2
        image: ubuntu:24.04
        command: ["sleep", "9999"]
        resources:
          claims:
          - name: shared-gpu-claim
      resourceClaims:
      - name: separate-gpu-claim
        resourceClaimTemplateName: example-resource-claim-template
      - name: shared-gpu-claim
        resourceClaimName: example-resource-claim

Response: This yaml code Allocate Devices to Workloads with DRA | Each Pod in this Job has the following properties:


Prompt:
Complete this yaml code:

apiVersion: batch/v1
kind: Job
metadata:
  name: example-dra-job
spec:
  completions: 10
  parallelism: 2
  template:
    spec:
      restartPolicy: Never
      containers:
      - name: container0
        image: ubuntu:24.04
        command: ["sleep", "9999"]
        resources:
          claims:
          - name: separate-gpu-claim

Response:
      - name: container1
        image: ubuntu:24.04
        command: ["sleep", "9999"]
        resources:
          claims:
          - name: shared-gpu-claim
      - name: container2
        image: ubuntu:24.04
        command: ["sleep", "9999"]
        resources:
          claims:
          - name: shared-gpu-claim
      resourceClaims:
      - name: separate-gpu-claim
        resourceClaimTemplateName: example-resource-claim-template
      - name: shared-gpu-claim
        resourceClaimName: example-resource-claim


Prompt:
Explain this yaml code:

apiVersion: batch/v1
kind: Job
metadata:
  name: example-dra-job
spec:
  completions: 10
  parallelism: 2
  template:
    spec:
      restartPolicy: Never
      containers:
      - name: container0
        image: ubuntu:24.04
        command: ["sleep", "9999"]
        resources:
          claims:
          - name: separate-gpu-claim
      - name: container1
        image: ubuntu:24.04
        command: ["sleep", "9999"]
        resources:
          claims:
          - name: shared-gpu-claim
      - name: container2
        image: ubuntu:24.04
        command: ["sleep", "9999"]
        resources:
          claims:
          - name: shared-gpu-claim
      resourceClaims:
      - name: separate-gpu-claim
        resourceClaimTemplateName: example-resource-claim-template
      - name: shared-gpu-claim
        resourceClaimName: example-resource-claim

Response: This yaml code Allocate Devices to Workloads with DRA | Each Pod in this Job has the following properties:


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/dra/dra-example-job.yaml

Response: This bash code Allocate Devices to Workloads with DRA | Try the following troubleshooting steps:


Prompt:
Explain this bash code:

kubectl delete -f https://k8s.io/examples/dra/dra-example-job.yaml

Response: This bash code Allocate Devices to Workloads with DRA | To delete your resource claims, run one of the following commands:


Prompt:
Explain this bash code:

kubectl delete -f https://k8s.io/examples/dra/resourceclaimtemplate.yaml

Response: This bash code Allocate Devices to Workloads with DRA | Delete the ResourceClaim:


Prompt:
Explain this bash code:

kubectl delete -f https://k8s.io/examples/dra/resourceclaim.yaml

Response: This bash code Allocate Devices to Workloads with DRA |


Prompt:
Explain this bash code:

kubectl create deployment source-ip-app --image=registry.k8s.io/echoserver:1.10

Response: This bash code Using Source IP | The output is:

Context: Using Source IP | The output is:


Prompt:
Complete this text code:

NAME                           STATUS     ROLES    AGE     VERSION
kubernetes-node-6jst   Ready      <none>   2h      v1.13.0

Response:
kubernetes-node-cx31   Ready      <none>   2h      v1.13.0
kubernetes-node-jj1t   Ready      <none>   2h      v1.13.0

Context: Using Source IP | Get the proxy mode on one of the nodes (kube-proxy listens on port 10249):


Prompt:
Explain this text code:

NAME                           STATUS     ROLES    AGE     VERSION
kubernetes-node-6jst   Ready      <none>   2h      v1.13.0
kubernetes-node-cx31   Ready      <none>   2h      v1.13.0
kubernetes-node-jj1t   Ready      <none>   2h      v1.13.0

Response: This text code Using Source IP | Get the proxy mode on one of the nodes (kube-proxy listens on port 10249):


Prompt:
Explain this text code:

# Run this in a shell on the node you want to query.
curl http://localhost:10249/proxyMode

Response: This text code Using Source IP | The output is:

Context: Using Source IP | The output is:


Prompt:
Explain this bash code:

kubectl expose deployment source-ip-app --name=clusterip --port=80 --target-port=8080

Response: This bash code Using Source IP | The output is:

Context: Using Source IP | The output is:


Prompt:
Explain this text code:

NAME         TYPE        CLUSTER-IP    EXTERNAL-IP   PORT(S)   AGE
clusterip    ClusterIP   10.0.170.92   <none>        80/TCP    51s

Response: This text code Using Source IP | And hitting the ClusterIP from a pod in the same cluster:

Context: Using Source IP | And hitting the ClusterIP from a pod in the same cluster:


Prompt:
Explain this bash code:

kubectl run busybox -it --image=busybox:1.28 --restart=Never --rm

Response: This bash code Using Source IP | The output is similar to this:

Context: Using Source IP | The output is similar to this:


Prompt:
Explain this text code:

Waiting for pod default/busybox to be running, status is Pending, pod ready: false
If you don't see a command prompt, try pressing enter.

Response: This text code Using Source IP | You can then run a command inside that Pod:

Context: Using Source IP | You can then run a command inside that Pod:


Prompt:
Explain this text code:

# Run this inside the terminal from "kubectl run"
ip addr

Response: This text code Using Source IP | …then use wget to query the local webserver

Context: Using Source IP | …then use wget to query the local webserver


Prompt:
Complete this text code:

1: lo: <LOOPBACK,UP,LOWER_UP> mtu 65536 qdisc noqueue
    link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00
    inet 127.0.0.1/8 scope host lo
       valid_lft forever preferred_lft forever
    inet6 ::1/128 scope host
       valid_lft forever preferred_lft forever

Response:
3: eth0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1460 qdisc noqueue
    link/ether 0a:58:0a:f4:03:08 brd ff:ff:ff:ff:ff:ff
    inet 10.244.3.8/24 scope global eth0
       valid_lft forever preferred_lft forever
    inet6 fe80::188a:84ff:feb0:26a5/64 scope link
       valid_lft forever preferred_lft forever


Prompt:
Explain this text code:

1: lo: <LOOPBACK,UP,LOWER_UP> mtu 65536 qdisc noqueue
    link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00
    inet 127.0.0.1/8 scope host lo
       valid_lft forever preferred_lft forever
    inet6 ::1/128 scope host
       valid_lft forever preferred_lft forever
3: eth0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1460 qdisc noqueue
    link/ether 0a:58:0a:f4:03:08 brd ff:ff:ff:ff:ff:ff
    inet 10.244.3.8/24 scope global eth0
       valid_lft forever preferred_lft forever
    inet6 fe80::188a:84ff:feb0:26a5/64 scope link
       valid_lft forever preferred_lft forever

Response: This text code Using Source IP | …then use wget to query the local webserver


Prompt:
Explain this text code:

# Replace "10.0.170.92" with the IPv4 address of the Service named "clusterip"
wget -qO - 10.0.170.92

Response: This text code Using Source IP | The client_address is always the client pod's IP address, whether the client pod and server pod are in the same node or in different nodes.

Context: Using Source IP | The client_address is always the client pod's IP address, whether the client pod and server pod are in the same node or in different nodes.


Prompt:
Complete this text code:

CLIENT VALUES:
client_address=10.244.3.8

Response:
command=GET
...


Prompt:
Explain this text code:

CLIENT VALUES:
client_address=10.244.3.8
command=GET
...

Response: This text code Using Source IP | The client_address is always the client pod's IP address, whether the client pod and server pod are in the same node or in different nodes.


Prompt:
Explain this bash code:

kubectl expose deployment source-ip-app --name=nodeport --port=80 --target-port=8080 --type=NodePort

Response: This bash code Using Source IP | The output is:

Context: Using Source IP | The output is:


Prompt:
Explain this text code:

NODEPORT=$(kubectl get -o jsonpath="{.spec.ports[0].nodePort}" services nodeport)
NODES=$(kubectl get nodes -o jsonpath='{ $.items[*].status.addresses[?(@.type=="InternalIP")].address }')

Response: This text code Using Source IP | If you're running on a cloud provider, you may need to open up a firewall-rule for the nodes:nodeport reported above. Now you can try reaching the Service from outside the cluster through the node por

Context: Using Source IP | If you're running on a cloud provider, you may need to open up a firewall-rule for the nodes:nodeport reported above. Now you can try reaching the Service from outside the cluster through the node por


Prompt:
Explain this text code:

for node in $NODES; do curl -s $node:$NODEPORT | grep -i client_address; done

Response: This text code Using Source IP | The output is similar to:

Context: Using Source IP | The output is similar to:


Prompt:
Explain this text code:

client_address=10.180.1.1
client_address=10.240.0.5
client_address=10.240.0.3

Response: This text code Using Source IP | Note that these are not the correct client IPs, they're cluster internal IPs. This is what happens:

Context: Using Source IP | Note that these are not the correct client IPs, they're cluster internal IPs. This is what happens:


Prompt:
Explain this bash code:

kubectl patch svc nodeport -p '{"spec":{"externalTrafficPolicy":"Local"}}'

Response: This bash code Using Source IP | The output is:

Context: Using Source IP | The output is:


Prompt:
Explain this text code:

for node in $NODES; do curl --connect-timeout 1 -s $node:$NODEPORT | grep -i client_address; done

Response: This text code Using Source IP | The output is similar to:


Prompt:
Explain this bash code:

kubectl expose deployment source-ip-app --name=loadbalancer --port=80 --target-port=8080 --type=LoadBalancer

Response: This bash code Using Source IP | The output is:

Context: Using Source IP | The output is:


Prompt:
Explain this text code:

NAME           TYPE           CLUSTER-IP    EXTERNAL-IP       PORT(S)   AGE
loadbalancer   LoadBalancer   10.0.65.118   203.0.113.140     80/TCP    5m

Response: This text code Using Source IP | Next, send a request to this Service's external-ip:

Context: Using Source IP | Next, send a request to this Service's external-ip:


Prompt:
Explain this bash code:

kubectl patch svc loadbalancer -p '{"spec":{"externalTrafficPolicy":"Local"}}'

Response: This bash code Using Source IP | You should immediately see the service.spec.healthCheckNodePort field allocated by Kubernetes:

Context: Using Source IP | You should immediately see the service.spec.healthCheckNodePort field allocated by Kubernetes:


Prompt:
Explain this bash code:

kubectl get svc loadbalancer -o yaml | grep -i healthCheckNodePort

Response: This bash code Using Source IP | The output is similar to this:


Prompt:
Explain this text code:

NAME                            READY     STATUS    RESTARTS   AGE       IP             NODE
source-ip-app-826191075-qehz4   1/1       Running   0          20h       10.180.1.136   kubernetes-node-6jst

Response: This text code Using Source IP | Use curl to fetch the /healthz endpoint on various nodes:

Context: Using Source IP | Use curl to fetch the /healthz endpoint on various nodes:


Prompt:
Explain this text code:

# Run this locally on a node you choose
curl localhost:32122/healthz

Response: This text code Using Source IP | On a different node you might get a different result:

Context: Using Source IP | On a different node you might get a different result:


Prompt:
Explain this text code:

# Run this locally on a node you choose
curl localhost:32122/healthz

Response: This text code Using Source IP | A controller running on the control plane is responsible for allocating the cloud load balancer. The same controller also allocates HTTP health checks pointing to this port/path on each node. Wait abo

Context: Using Source IP | A controller running on the control plane is responsible for allocating the cloud load balancer. The same controller also allocates HTTP health checks pointing to this port/path on each node. Wait abo


Prompt:
Explain this shell code:

kubectl create deployment source-ip-app --image=registry.k8s.io/echoserver:1.10

Response: This shell code Using Source IP | The output is:

Context: Using Source IP | The output is:


Prompt:
Complete this text code:

NAME                           STATUS     ROLES    AGE     VERSION
kubernetes-node-6jst   Ready      <none>   2h      v1.13.0

Response:
kubernetes-node-cx31   Ready      <none>   2h      v1.13.0
kubernetes-node-jj1t   Ready      <none>   2h      v1.13.0


Prompt:
Explain this text code:

NAME                           STATUS     ROLES    AGE     VERSION
kubernetes-node-6jst   Ready      <none>   2h      v1.13.0
kubernetes-node-cx31   Ready      <none>   2h      v1.13.0
kubernetes-node-jj1t   Ready      <none>   2h      v1.13.0

Response: This text code Using Source IP | Get the proxy mode on one of the nodes (kube-proxy listens on port 10249):


Prompt:
Explain this shell code:

# Run this in a shell on the node you want to query.
curl http://localhost:10249/proxyMode

Response: This shell code Using Source IP | The output is:

Context: Using Source IP | The output is:


Prompt:
Explain this shell code:

kubectl expose deployment source-ip-app --name=clusterip --port=80 --target-port=8080

Response: This shell code Using Source IP | The output is:

Context: Using Source IP | The output is:


Prompt:
Explain this text code:

NAME         TYPE        CLUSTER-IP    EXTERNAL-IP   PORT(S)   AGE
clusterip    ClusterIP   10.0.170.92   <none>        80/TCP    51s

Response: This text code Using Source IP | And hitting the ClusterIP from a pod in the same cluster:


Prompt:
Explain this shell code:

kubectl run busybox -it --image=busybox:1.28 --restart=Never --rm

Response: This shell code Using Source IP | The output is similar to this:


Prompt:
Explain this text code:

Waiting for pod default/busybox to be running, status is Pending, pod ready: false
If you don't see a command prompt, try pressing enter.

Response: This text code Using Source IP | You can then run a command inside that Pod:


Prompt:
Explain this shell code:

# Run this inside the terminal from "kubectl run"
ip addr

Response: This shell code Using Source IP | …then use wget to query the local webserver


Prompt:
Complete this text code:

1: lo: <LOOPBACK,UP,LOWER_UP> mtu 65536 qdisc noqueue
    link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00
    inet 127.0.0.1/8 scope host lo
       valid_lft forever preferred_lft forever
    inet6 ::1/128 scope host
       valid_lft forever preferred_lft forever

Response:
3: eth0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1460 qdisc noqueue
    link/ether 0a:58:0a:f4:03:08 brd ff:ff:ff:ff:ff:ff
    inet 10.244.3.8/24 scope global eth0
       valid_lft forever preferred_lft forever
    inet6 fe80::188a:84ff:feb0:26a5/64 scope link
       valid_lft forever preferred_lft forever


Prompt:
Explain this text code:

1: lo: <LOOPBACK,UP,LOWER_UP> mtu 65536 qdisc noqueue
    link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00
    inet 127.0.0.1/8 scope host lo
       valid_lft forever preferred_lft forever
    inet6 ::1/128 scope host
       valid_lft forever preferred_lft forever
3: eth0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1460 qdisc noqueue
    link/ether 0a:58:0a:f4:03:08 brd ff:ff:ff:ff:ff:ff
    inet 10.244.3.8/24 scope global eth0
       valid_lft forever preferred_lft forever
    inet6 fe80::188a:84ff:feb0:26a5/64 scope link
       valid_lft forever preferred_lft forever

Response: This text code Using Source IP | …then use wget to query the local webserver


Prompt:
Explain this shell code:

# Replace "10.0.170.92" with the IPv4 address of the Service named "clusterip"
wget -qO - 10.0.170.92

Response: This shell code Using Source IP | The client_address is always the client pod's IP address, whether the client pod and server pod are in the same node or in different nodes.


Prompt:
Complete this text code:

CLIENT VALUES:
client_address=10.244.3.8

Response:
command=GET
...


Prompt:
Explain this text code:

CLIENT VALUES:
client_address=10.244.3.8
command=GET
...

Response: This text code Using Source IP | The client_address is always the client pod's IP address, whether the client pod and server pod are in the same node or in different nodes.


Prompt:
Explain this shell code:

kubectl expose deployment source-ip-app --name=nodeport --port=80 --target-port=8080 --type=NodePort

Response: This shell code Using Source IP | The output is:

Context: Using Source IP | The output is:


Prompt:
Explain this shell code:

NODEPORT=$(kubectl get -o jsonpath="{.spec.ports[0].nodePort}" services nodeport)
NODES=$(kubectl get nodes -o jsonpath='{ $.items[*].status.addresses[?(@.type=="InternalIP")].address }')

Response: This shell code Using Source IP | If you're running on a cloud provider, you may need to open up a firewall-rule for the nodes:nodeport reported above. Now you can try reaching the Service from outside the cluster through the node por


Prompt:
Explain this shell code:

for node in $NODES; do curl -s $node:$NODEPORT | grep -i client_address; done

Response: This shell code Using Source IP | The output is similar to:


Prompt:
Explain this text code:

client_address=10.180.1.1
client_address=10.240.0.5
client_address=10.240.0.3

Response: This text code Using Source IP | Note that these are not the correct client IPs, they're cluster internal IPs. This is what happens:


Prompt:
Explain this shell code:

kubectl patch svc nodeport -p '{"spec":{"externalTrafficPolicy":"Local"}}'

Response: This shell code Using Source IP | The output is:

Context: Using Source IP | The output is:


Prompt:
Explain this shell code:

for node in $NODES; do curl --connect-timeout 1 -s $node:$NODEPORT | grep -i client_address; done

Response: This shell code Using Source IP | The output is similar to:


Prompt:
Explain this shell code:

kubectl expose deployment source-ip-app --name=loadbalancer --port=80 --target-port=8080 --type=LoadBalancer

Response: This shell code Using Source IP | The output is:

Context: Using Source IP | The output is:


Prompt:
Explain this text code:

NAME           TYPE           CLUSTER-IP    EXTERNAL-IP       PORT(S)   AGE
loadbalancer   LoadBalancer   10.0.65.118   203.0.113.140     80/TCP    5m

Response: This text code Using Source IP | Next, send a request to this Service's external-ip:


Prompt:
Explain this shell code:

kubectl patch svc loadbalancer -p '{"spec":{"externalTrafficPolicy":"Local"}}'

Response: This shell code Using Source IP | You should immediately see the service.spec.healthCheckNodePort field allocated by Kubernetes:


Prompt:
Explain this shell code:

kubectl get svc loadbalancer -o yaml | grep -i healthCheckNodePort

Response: This shell code Using Source IP | The output is similar to this:


Prompt:
Explain this text code:

NAME                            READY     STATUS    RESTARTS   AGE       IP             NODE
source-ip-app-826191075-qehz4   1/1       Running   0          20h       10.180.1.136   kubernetes-node-6jst

Response: This text code Using Source IP | Use curl to fetch the /healthz endpoint on various nodes:


Prompt:
Explain this shell code:

# Run this locally on a node you choose
curl localhost:32122/healthz

Response: This shell code Using Source IP | On a different node you might get a different result:


Prompt:
Explain this shell code:

# Run this locally on a node you choose
curl localhost:32122/healthz

Response: This shell code Using Source IP | A controller running on the control plane is responsible for allocating the cloud load balancer. The same controller also allocates HTTP health checks pointing to this port/path on each node. Wait abo


Prompt:
Explain this bash code:

kubectl create deployment source-ip-app --image=registry.k8s.io/echoserver:1.10

Response: This bash code Using Source IP | The output is:

Context: Using Source IP | The output is:


Prompt:
Explain this text code:

# Run this in a shell on the node you want to query.
curl http://localhost:10249/proxyMode

Response: This text code Using Source IP | The output is:

Context: Using Source IP | The output is:


Prompt:
Explain this bash code:

kubectl expose deployment source-ip-app --name=clusterip --port=80 --target-port=8080

Response: This bash code Using Source IP | The output is:

Context: Using Source IP | The output is:


Prompt:
Explain this bash code:

kubectl run busybox -it --image=busybox:1.28 --restart=Never --rm

Response: This bash code Using Source IP | The output is similar to this:


Prompt:
Explain this text code:

# Run this inside the terminal from "kubectl run"
ip addr

Response: This text code Using Source IP | …then use wget to query the local webserver


Prompt:
Explain this text code:

# Replace "10.0.170.92" with the IPv4 address of the Service named "clusterip"
wget -qO - 10.0.170.92

Response: This text code Using Source IP | The client_address is always the client pod's IP address, whether the client pod and server pod are in the same node or in different nodes.


Prompt:
Explain this bash code:

kubectl expose deployment source-ip-app --name=nodeport --port=80 --target-port=8080 --type=NodePort

Response: This bash code Using Source IP | The output is:

Context: Using Source IP | The output is:


Prompt:
Explain this text code:

NODEPORT=$(kubectl get -o jsonpath="{.spec.ports[0].nodePort}" services nodeport)
NODES=$(kubectl get nodes -o jsonpath='{ $.items[*].status.addresses[?(@.type=="InternalIP")].address }')

Response: This text code Using Source IP | If you're running on a cloud provider, you may need to open up a firewall-rule for the nodes:nodeport reported above. Now you can try reaching the Service from outside the cluster through the node por


Prompt:
Explain this text code:

for node in $NODES; do curl -s $node:$NODEPORT | grep -i client_address; done

Response: This text code Using Source IP | The output is similar to:


Prompt:
Explain this bash code:

kubectl patch svc nodeport -p '{"spec":{"externalTrafficPolicy":"Local"}}'

Response: This bash code Using Source IP | The output is:

Context: Using Source IP | The output is:


Prompt:
Explain this text code:

for node in $NODES; do curl --connect-timeout 1 -s $node:$NODEPORT | grep -i client_address; done

Response: This text code Using Source IP | The output is similar to:


Prompt:
Explain this bash code:

kubectl expose deployment source-ip-app --name=loadbalancer --port=80 --target-port=8080 --type=LoadBalancer

Response: This bash code Using Source IP | The output is:

Context: Using Source IP | The output is:


Prompt:
Explain this bash code:

kubectl patch svc loadbalancer -p '{"spec":{"externalTrafficPolicy":"Local"}}'

Response: This bash code Using Source IP | You should immediately see the service.spec.healthCheckNodePort field allocated by Kubernetes:


Prompt:
Explain this bash code:

kubectl get svc loadbalancer -o yaml | grep -i healthCheckNodePort

Response: This bash code Using Source IP | The output is similar to this:


Prompt:
Explain this text code:

# Run this locally on a node you choose
curl localhost:32122/healthz

Response: This text code Using Source IP | On a different node you might get a different result:


Prompt:
Explain this text code:

# Run this locally on a node you choose
curl localhost:32122/healthz

Response: This text code Using Source IP | A controller running on the control plane is responsible for allocating the cloud load balancer. The same controller also allocates HTTP health checks pointing to this port/path on each node. Wait abo


Prompt:
Complete this yaml code:

apiVersion: v1
kind: ServiceAccount
metadata:

Response:
  annotations:
    kubernetes.io/enforce-mountable-secrets: "true"
  name: my-serviceaccount
  namespace: my-namespace

Context: Service Accounts | When this annotation is set to "true", the Kubernetes control plane ensures that the Secrets from this ServiceAccount are subject to certain mounting restrictions.


Prompt:
Explain this yaml code:

apiVersion: v1
kind: ServiceAccount
metadata:
  annotations:
    kubernetes.io/enforce-mountable-secrets: "true"
  name: my-serviceaccount
  namespace: my-namespace

Response: This yaml code Service Accounts | When this annotation is set to "true", the Kubernetes control plane ensures that the Secrets from this ServiceAccount are subject to certain mounting restrictions.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: ServiceAccount
metadata:

Response:
  annotations:
    kubernetes.io/enforce-mountable-secrets: "true"
  name: my-serviceaccount
  namespace: my-namespace


Prompt:
Explain this yaml code:

apiVersion: v1
kind: ServiceAccount
metadata:
  annotations:
    kubernetes.io/enforce-mountable-secrets: "true"
  name: my-serviceaccount
  namespace: my-namespace

Response: This yaml code Service Accounts | When this annotation is set to "true", the Kubernetes control plane ensures that the Secrets from this ServiceAccount are subject to certain mounting restrictions.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: ServiceAccount
metadata:

Response:
  annotations:
    kubernetes.io/enforce-mountable-secrets: "true"
  name: my-serviceaccount
  namespace: my-namespace


Prompt:
Explain this yaml code:

apiVersion: v1
kind: ServiceAccount
metadata:
  annotations:
    kubernetes.io/enforce-mountable-secrets: "true"
  name: my-serviceaccount
  namespace: my-namespace

Response: This yaml code Service Accounts | When this annotation is set to "true", the Kubernetes control plane ensures that the Secrets from this ServiceAccount are subject to certain mounting restrictions.


Prompt:
Explain this bash code:

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

Response: This bash code kubectl create clusterrole | An aggregation label selector for combining ClusterRoles.

Context: kubectl create clusterrole | An aggregation label selector for combining ClusterRoles.


Prompt:
Complete this text code:

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

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

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

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

  # Create a cluster role name "foo" with NonResourceURL specified
  kubectl create clusterrole "foo" --verb=get --non-resource-url=/logs/*

  # Create a cluster role name "monitoring" with AggregationRule specified
  kubectl create clusterrole monitoring --aggregation-rule="rbac.example.com/aggregate-to-monitoring=true"


Prompt:
Explain this text code:

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

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

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

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

  # Create a cluster role name "foo" with NonResourceURL specified
  kubectl create clusterrole "foo" --verb=get --non-resource-url=/logs/*

  # Create a cluster role name "monitoring" with AggregationRule specified
  kubectl create clusterrole monitoring --aggregation-rule="rbac.example.com/aggregate-to-monitoring=true"

Response: This text code kubectl create clusterrole | An aggregation label selector for combining ClusterRoles.


Prompt:
Explain this bash code:

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

Response: This bash code kubectl create clusterrole | An aggregation label selector for combining ClusterRoles.


Prompt:
Complete this text code:

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

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

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

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

  # Create a cluster role name "foo" with NonResourceURL specified
  kubectl create clusterrole "foo" --verb=get --non-resource-url=/logs/*

  # Create a cluster role name "monitoring" with AggregationRule specified
  kubectl create clusterrole monitoring --aggregation-rule="rbac.example.com/aggregate-to-monitoring=true"


Prompt:
Explain this text code:

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

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

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

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

  # Create a cluster role name "foo" with NonResourceURL specified
  kubectl create clusterrole "foo" --verb=get --non-resource-url=/logs/*

  # Create a cluster role name "monitoring" with AggregationRule specified
  kubectl create clusterrole monitoring --aggregation-rule="rbac.example.com/aggregate-to-monitoring=true"

Response: This text code kubectl create clusterrole | An aggregation label selector for combining ClusterRoles.


Prompt:
Explain this text code:

curl.exe -LO "https://dl.k8s.io/release/v1.34.0/bin/windows/amd64/kubectl.exe"

Response: This text code Install and Set Up kubectl on Windows | Validate the binary (optional)

Context: Install and Set Up kubectl on Windows | Validate the binary (optional)


Prompt:
Explain this text code:

curl.exe -LO "https://dl.k8s.io/v1.34.0/bin/windows/amd64/kubectl.exe.sha256"

Response: This text code Install and Set Up kubectl on Windows | Validate the kubectl binary against the checksum file:

Context: Install and Set Up kubectl on Windows | Validate the kubectl binary against the checksum file:


Prompt:
Explain this text code:

CertUtil -hashfile kubectl.exe SHA256
type kubectl.exe.sha256

Response: This text code Install and Set Up kubectl on Windows | Using PowerShell to automate the verification using the -eq operator to get a True or False result:

Context: Install and Set Up kubectl on Windows | Using PowerShell to automate the verification using the -eq operator to get a True or False result:


Prompt:
Explain this text code:

$(Get-FileHash -Algorithm SHA256 .\kubectl.exe).Hash -eq $(Get-Content .\kubectl.exe.sha256)

Response: This text code Install and Set Up kubectl on Windows | Append or prepend the kubectl binary folder to your PATH environment variable.

Context: Install and Set Up kubectl on Windows | Append or prepend the kubectl binary folder to your PATH environment variable.


Prompt:
Explain this text code:

# If you're using cmd.exe, run: cd %USERPROFILE%
cd ~

Response: This text code Install and Set Up kubectl on Windows | Create the .kube directory:

Context: Install and Set Up kubectl on Windows | Create the .kube directory:


Prompt:
Explain this text code:

The connection to the server <server-name:port> was refused - did you specify the right host or port?

Response: This text code Install and Set Up kubectl on Windows | For example, if you are intending to run a Kubernetes cluster on your laptop (locally), you will need a tool like Minikube to be installed first and then re-run the commands stated above.

Context: Install and Set Up kubectl on Windows | For example, if you are intending to run a Kubernetes cluster on your laptop (locally), you will need a tool like Minikube to be installed first and then re-run the commands stated above.


Prompt:
Explain this bash code:

kubectl completion powershell | Out-String | Invoke-Expression

Response: This bash code Install and Set Up kubectl on Windows | This command will regenerate the auto-completion script on every PowerShell start up. You can also add the generated script directly to your $PROFILE file.

Context: Install and Set Up kubectl on Windows | This command will regenerate the auto-completion script on every PowerShell start up. You can also add the generated script directly to your $PROFILE file.


Prompt:
Explain this text code:

curl.exe -LO "https://dl.k8s.io/release/v1.34.0/bin/windows/amd64/kubectl-convert.exe"

Response: This text code Install and Set Up kubectl on Windows | Validate the binary (optional).

Context: Install and Set Up kubectl on Windows | Validate the binary (optional).


Prompt:
Explain this text code:

curl.exe -LO "https://dl.k8s.io/v1.34.0/bin/windows/amd64/kubectl-convert.exe.sha256"

Response: This text code Install and Set Up kubectl on Windows | Validate the kubectl-convert binary against the checksum file:

Context: Install and Set Up kubectl on Windows | Validate the kubectl-convert binary against the checksum file:


Prompt:
Explain this text code:

CertUtil -hashfile kubectl-convert.exe SHA256
type kubectl-convert.exe.sha256

Response: This text code Install and Set Up kubectl on Windows | Using PowerShell to automate the verification using the -eq operator to get a True or False result:


Prompt:
Explain this text code:

$($(CertUtil -hashfile .\kubectl-convert.exe SHA256)[1] -replace " ", "") -eq $(type .\kubectl-convert.exe.sha256)

Response: This text code Install and Set Up kubectl on Windows | Append or prepend the kubectl-convert binary folder to your PATH environment variable.

Context: Install and Set Up kubectl on Windows | Append or prepend the kubectl-convert binary folder to your PATH environment variable.


Prompt:
Explain this text code:

del kubectl-convert.exe
del kubectl-convert.exe.sha256

Response: This text code Install and Set Up kubectl on Windows |

Context: Install and Set Up kubectl on Windows |


Prompt:
Explain this powershell code:

curl.exe -LO "https://dl.k8s.io/release/v1.34.0/bin/windows/amd64/kubectl.exe"

Response: This powershell code Install and Set Up kubectl on Windows | Validate the binary (optional)


Prompt:
Explain this powershell code:

curl.exe -LO "https://dl.k8s.io/v1.34.0/bin/windows/amd64/kubectl.exe.sha256"

Response: This powershell code Install and Set Up kubectl on Windows | Validate the kubectl binary against the checksum file:


Prompt:
Explain this cmd code:

CertUtil -hashfile kubectl.exe SHA256
type kubectl.exe.sha256

Response: This cmd code Install and Set Up kubectl on Windows | Using PowerShell to automate the verification using the -eq operator to get a True or False result:


Prompt:
Explain this powershell code:

$(Get-FileHash -Algorithm SHA256 .\kubectl.exe).Hash -eq $(Get-Content .\kubectl.exe.sha256)

Response: This powershell code Install and Set Up kubectl on Windows | Append or prepend the kubectl binary folder to your PATH environment variable.


Prompt:
Explain this powershell code:

# If you're using cmd.exe, run: cd %USERPROFILE%
cd ~

Response: This powershell code Install and Set Up kubectl on Windows | Create the .kube directory:


Prompt:
Explain this text code:

The connection to the server <server-name:port> was refused - did you specify the right host or port?

Response: This text code Install and Set Up kubectl on Windows | For example, if you are intending to run a Kubernetes cluster on your laptop (locally), you will need a tool like Minikube to be installed first and then re-run the commands stated above.


Prompt:
Explain this powershell code:

kubectl completion powershell | Out-String | Invoke-Expression

Response: This powershell code Install and Set Up kubectl on Windows | This command will regenerate the auto-completion script on every PowerShell start up. You can also add the generated script directly to your $PROFILE file.


Prompt:
Explain this powershell code:

curl.exe -LO "https://dl.k8s.io/release/v1.34.0/bin/windows/amd64/kubectl-convert.exe"

Response: This powershell code Install and Set Up kubectl on Windows | Validate the binary (optional).


Prompt:
Explain this powershell code:

curl.exe -LO "https://dl.k8s.io/v1.34.0/bin/windows/amd64/kubectl-convert.exe.sha256"

Response: This powershell code Install and Set Up kubectl on Windows | Validate the kubectl-convert binary against the checksum file:


Prompt:
Explain this cmd code:

CertUtil -hashfile kubectl-convert.exe SHA256
type kubectl-convert.exe.sha256

Response: This cmd code Install and Set Up kubectl on Windows | Using PowerShell to automate the verification using the -eq operator to get a True or False result:


Prompt:
Explain this powershell code:

$($(CertUtil -hashfile .\kubectl-convert.exe SHA256)[1] -replace " ", "") -eq $(type .\kubectl-convert.exe.sha256)

Response: This powershell code Install and Set Up kubectl on Windows | Append or prepend the kubectl-convert binary folder to your PATH environment variable.


Prompt:
Explain this powershell code:

del kubectl-convert.exe
del kubectl-convert.exe.sha256

Response: This powershell code Install and Set Up kubectl on Windows |

Context: Install and Set Up kubectl on Windows |


Prompt:
Explain this text code:

curl.exe -LO "https://dl.k8s.io/release/v1.34.0/bin/windows/amd64/kubectl.exe"

Response: This text code Install and Set Up kubectl on Windows | Validate the binary (optional)


Prompt:
Explain this text code:

curl.exe -LO "https://dl.k8s.io/v1.34.0/bin/windows/amd64/kubectl.exe.sha256"

Response: This text code Install and Set Up kubectl on Windows | Validate the kubectl binary against the checksum file:


Prompt:
Explain this text code:

CertUtil -hashfile kubectl.exe SHA256
type kubectl.exe.sha256

Response: This text code Install and Set Up kubectl on Windows | Using PowerShell to automate the verification using the -eq operator to get a True or False result:


Prompt:
Explain this text code:

$(Get-FileHash -Algorithm SHA256 .\kubectl.exe).Hash -eq $(Get-Content .\kubectl.exe.sha256)

Response: This text code Install and Set Up kubectl on Windows | Append or prepend the kubectl binary folder to your PATH environment variable.


Prompt:
Explain this text code:

# If you're using cmd.exe, run: cd %USERPROFILE%
cd ~

Response: This text code Install and Set Up kubectl on Windows | Create the .kube directory:


Prompt:
Explain this bash code:

kubectl completion powershell | Out-String | Invoke-Expression

Response: This bash code Install and Set Up kubectl on Windows | This command will regenerate the auto-completion script on every PowerShell start up. You can also add the generated script directly to your $PROFILE file.


Prompt:
Explain this text code:

curl.exe -LO "https://dl.k8s.io/release/v1.34.0/bin/windows/amd64/kubectl-convert.exe"

Response: This text code Install and Set Up kubectl on Windows | Validate the binary (optional).


Prompt:
Explain this text code:

curl.exe -LO "https://dl.k8s.io/v1.34.0/bin/windows/amd64/kubectl-convert.exe.sha256"

Response: This text code Install and Set Up kubectl on Windows | Validate the kubectl-convert binary against the checksum file:


Prompt:
Explain this text code:

CertUtil -hashfile kubectl-convert.exe SHA256
type kubectl-convert.exe.sha256

Response: This text code Install and Set Up kubectl on Windows | Using PowerShell to automate the verification using the -eq operator to get a True or False result:


Prompt:
Explain this text code:

$($(CertUtil -hashfile .\kubectl-convert.exe SHA256)[1] -replace " ", "") -eq $(type .\kubectl-convert.exe.sha256)

Response: This text code Install and Set Up kubectl on Windows | Append or prepend the kubectl-convert binary folder to your PATH environment variable.


Prompt:
Explain this text code:

del kubectl-convert.exe
del kubectl-convert.exe.sha256

Response: This text code Install and Set Up kubectl on Windows |

Context: Install and Set Up kubectl on Windows |


Prompt:
Explain this text code:

# List the clusters that kubectl knows about
  kubectl config get-clusters

Response: This text code kubectl config get-clusters | help for get-clusters

Context: kubectl config get-clusters | help for get-clusters


Prompt:
Explain this text code:

# List the clusters that kubectl knows about
  kubectl config get-clusters

Response: This text code kubectl config get-clusters | help for get-clusters


Prompt:
Explain this bash code:

kubectl explain TYPE [--recursive=FALSE|TRUE] [--api-version=api-version-group] [-o|--output=plaintext|plaintext-openapiv2]

Response: This bash code kubectl explain | Get different explanations for particular API version (API group/version)

Context: kubectl explain | Get different explanations for particular API version (API group/version)


Prompt:
Complete this text code:

# Get the documentation of the resource and its fields
  kubectl explain pods

  # Get all the fields in the resource
  kubectl explain pods --recursive

  # Get the explanation for deployment in supported api versions

Response:
  kubectl explain deployments --api-version=apps/v1

  # Get the documentation of a specific field of a resource
  kubectl explain pods.spec.containers

  # Get the documentation of resources in different format
  kubectl explain deployment --output=plaintext-openapiv2


Prompt:
Explain this text code:

# Get the documentation of the resource and its fields
  kubectl explain pods

  # Get all the fields in the resource
  kubectl explain pods --recursive

  # Get the explanation for deployment in supported api versions
  kubectl explain deployments --api-version=apps/v1

  # Get the documentation of a specific field of a resource
  kubectl explain pods.spec.containers

  # Get the documentation of resources in different format
  kubectl explain deployment --output=plaintext-openapiv2

Response: This text code kubectl explain | Get different explanations for particular API version (API group/version)


Prompt:
Explain this bash code:

kubectl explain TYPE [--recursive=FALSE|TRUE] [--api-version=api-version-group] [-o|--output=plaintext|plaintext-openapiv2]

Response: This bash code kubectl explain | Get different explanations for particular API version (API group/version)


Prompt:
Complete this text code:

# Get the documentation of the resource and its fields
  kubectl explain pods

  # Get all the fields in the resource
  kubectl explain pods --recursive

  # Get the explanation for deployment in supported api versions

Response:
  kubectl explain deployments --api-version=apps/v1

  # Get the documentation of a specific field of a resource
  kubectl explain pods.spec.containers

  # Get the documentation of resources in different format
  kubectl explain deployment --output=plaintext-openapiv2


Prompt:
Explain this text code:

# Get the documentation of the resource and its fields
  kubectl explain pods

  # Get all the fields in the resource
  kubectl explain pods --recursive

  # Get the explanation for deployment in supported api versions
  kubectl explain deployments --api-version=apps/v1

  # Get the documentation of a specific field of a resource
  kubectl explain pods.spec.containers

  # Get the documentation of resources in different format
  kubectl explain deployment --output=plaintext-openapiv2

Response: This text code kubectl explain | Get different explanations for particular API version (API group/version)


Prompt:
Complete this yaml code:

apiVersion: apps/v1
kind: ReplicaSet
metadata:
  name: frontend
  labels:
    app: guestbook
    tier: frontend
spec:
  # modify replicas according to your case
  replicas: 3

Response:
  selector:
    matchLabels:
      tier: frontend
  template:
    metadata:
      labels:
        tier: frontend
    spec:
      containers:
      - name: php-redis
        image: us-docker.pkg.dev/google-samples/containers/gke/gb-frontend:v5

Context: ReplicaSet | Saving this manifest into frontend.yaml and submitting it to a Kubernetes cluster will create the defined ReplicaSet and the Pods that it manages.


Prompt:
Explain this yaml code:

apiVersion: apps/v1
kind: ReplicaSet
metadata:
  name: frontend
  labels:
    app: guestbook
    tier: frontend
spec:
  # modify replicas according to your case
  replicas: 3
  selector:
    matchLabels:
      tier: frontend
  template:
    metadata:
      labels:
        tier: frontend
    spec:
      containers:
      - name: php-redis
        image: us-docker.pkg.dev/google-samples/containers/gke/gb-frontend:v5

Response: This yaml code ReplicaSet | Saving this manifest into frontend.yaml and submitting it to a Kubernetes cluster will create the defined ReplicaSet and the Pods that it manages.


Prompt:
Explain this bash code:

kubectl apply -f https://kubernetes.io/examples/controllers/frontend.yaml

Response: This bash code ReplicaSet | You can then get the current ReplicaSets deployed:

Context: ReplicaSet | You can then get the current ReplicaSets deployed:


Prompt:
Explain this text code:

NAME       DESIRED   CURRENT   READY   AGE
frontend   3         3         3       6s

Response: This text code ReplicaSet | You can also check on the state of the ReplicaSet:

Context: ReplicaSet | You can also check on the state of the ReplicaSet:


Prompt:
Complete this text code:

Name:         frontend
Namespace:    default
Selector:     tier=frontend
Labels:       app=guestbook
              tier=frontend
Annotations:  <none>
Replicas:     3 current / 3 desired
Pods Status:  3 Running / 0 Waiting / 0 Succeeded / 0 Failed
Pod Template:
  Labels:  tier=frontend
  Containers:
   php-redis:

Response:
    Image:        us-docker.pkg.dev/google-samples/containers/gke/gb-frontend:v5
    Port:         <none>
    Host Port:    <none>
    Environment:  <none>
    Mounts:       <none>
  Volumes:        <none>
Events:
  Type    Reason            Age   From                   Message
  ----    ------            ----  ----                   -------
  Normal  SuccessfulCreate  13s   replicaset-controller  Created pod: frontend-gbgfx
  Normal  SuccessfulCreate  13s   replicaset-controller  Created pod: frontend-rwz57
  Normal  SuccessfulCreate  13s   replicaset-controller  Created pod: frontend-wkl7w

Context: ReplicaSet | And lastly you can check for the Pods brought up:


Prompt:
Explain this text code:

Name:         frontend
Namespace:    default
Selector:     tier=frontend
Labels:       app=guestbook
              tier=frontend
Annotations:  <none>
Replicas:     3 current / 3 desired
Pods Status:  3 Running / 0 Waiting / 0 Succeeded / 0 Failed
Pod Template:
  Labels:  tier=frontend
  Containers:
   php-redis:
    Image:        us-docker.pkg.dev/google-samples/containers/gke/gb-frontend:v5
    Port:         <none>
    Host Port:    <none>
    Environment:  <none>
    Mounts:       <none>
  Volumes:        <none>
Events:
  Type    Reason            Age   From                   Message
  ----    ------            ----  ----                   -------
  Normal  SuccessfulCreate  13s   replicaset-controller  Created pod: frontend-gbgfx
  Normal  SuccessfulCreate  13s   replicaset-controller  Created pod: frontend-rwz57
  Normal  SuccessfulCreate  13s   replicaset-controller  Created pod: frontend-wkl7w

Response: This text code ReplicaSet | And lastly you can check for the Pods brought up:


Prompt:
Complete this text code:

NAME             READY   STATUS    RESTARTS   AGE
frontend-gbgfx   1/1     Running   0          10m

Response:
frontend-rwz57   1/1     Running   0          10m
frontend-wkl7w   1/1     Running   0          10m

Context: ReplicaSet | You can also verify that the owner reference of these pods is set to the frontend ReplicaSet. To do this, get the yaml of one of the Pods running:


Prompt:
Explain this text code:

NAME             READY   STATUS    RESTARTS   AGE
frontend-gbgfx   1/1     Running   0          10m
frontend-rwz57   1/1     Running   0          10m
frontend-wkl7w   1/1     Running   0          10m

Response: This text code ReplicaSet | You can also verify that the owner reference of these pods is set to the frontend ReplicaSet. To do this, get the yaml of one of the Pods running:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  creationTimestamp: "2024-02-28T22:30:44Z"
  generateName: frontend-
  labels:
    tier: frontend
  name: frontend-gbgfx

Response:
  namespace: default
  ownerReferences:
  - apiVersion: apps/v1
    blockOwnerDeletion: true
    controller: true
    kind: ReplicaSet
    name: frontend
    uid: e129deca-f864-481b-bb16-b27abfd92292
...

Context: ReplicaSet | While you can create bare Pods with no problems, it is strongly recommended to make sure that the bare Pods do not have labels which match the selector of one of your ReplicaSets. The reason for this


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  creationTimestamp: "2024-02-28T22:30:44Z"
  generateName: frontend-
  labels:
    tier: frontend
  name: frontend-gbgfx
  namespace: default
  ownerReferences:
  - apiVersion: apps/v1
    blockOwnerDeletion: true
    controller: true
    kind: ReplicaSet
    name: frontend
    uid: e129deca-f864-481b-bb16-b27abfd92292
...

Response: This yaml code ReplicaSet | While you can create bare Pods with no problems, it is strongly recommended to make sure that the bare Pods do not have labels which match the selector of one of your ReplicaSets. The reason for this


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: pod1
  labels:
    tier: frontend
spec:
  containers:
  - name: hello1
    image: gcr.io/google-samples/hello-app:2.0

Response:
---

apiVersion: v1
kind: Pod
metadata:
  name: pod2
  labels:
    tier: frontend
spec:
  containers:
  - name: hello2
    image: gcr.io/google-samples/hello-app:1.0

Context: ReplicaSet | As those Pods do not have a Controller (or any object) as their owner reference and match the selector of the frontend ReplicaSet, they will immediately be acquired by it.


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: pod1
  labels:
    tier: frontend
spec:
  containers:
  - name: hello1
    image: gcr.io/google-samples/hello-app:2.0

---

apiVersion: v1
kind: Pod
metadata:
  name: pod2
  labels:
    tier: frontend
spec:
  containers:
  - name: hello2
    image: gcr.io/google-samples/hello-app:1.0

Response: This yaml code ReplicaSet | As those Pods do not have a Controller (or any object) as their owner reference and match the selector of the frontend ReplicaSet, they will immediately be acquired by it.


Prompt:
Explain this bash code:

kubectl apply -f https://kubernetes.io/examples/pods/pod-rs.yaml

Response: This bash code ReplicaSet | The new Pods will be acquired by the ReplicaSet, and then immediately terminated as the ReplicaSet would be over its desired count.

Context: ReplicaSet | The new Pods will be acquired by the ReplicaSet, and then immediately terminated as the ReplicaSet would be over its desired count.


Prompt:
Complete this text code:

NAME             READY   STATUS        RESTARTS   AGE
frontend-b2zdv   1/1     Running       0          10m
frontend-vcmts   1/1     Running       0          10m

Response:
frontend-wtsmm   1/1     Running       0          10m
pod1             0/1     Terminating   0          1s
pod2             0/1     Terminating   0          1s

Context: ReplicaSet | If you create the Pods first:


Prompt:
Explain this text code:

NAME             READY   STATUS        RESTARTS   AGE
frontend-b2zdv   1/1     Running       0          10m
frontend-vcmts   1/1     Running       0          10m
frontend-wtsmm   1/1     Running       0          10m
pod1             0/1     Terminating   0          1s
pod2             0/1     Terminating   0          1s

Response: This text code ReplicaSet | If you create the Pods first:


Prompt:
Explain this bash code:

kubectl apply -f https://kubernetes.io/examples/pods/pod-rs.yaml

Response: This bash code ReplicaSet | And then create the ReplicaSet however:

Context: ReplicaSet | And then create the ReplicaSet however:


Prompt:
Explain this bash code:

kubectl apply -f https://kubernetes.io/examples/controllers/frontend.yaml

Response: This bash code ReplicaSet | You shall see that the ReplicaSet has acquired the Pods and has only created new ones according to its spec until the number of its new Pods and the original matches its desired count. As fetching the

Context: ReplicaSet | You shall see that the ReplicaSet has acquired the Pods and has only created new ones according to its spec until the number of its new Pods and the original matches its desired count. As fetching the


Prompt:
Complete this text code:

NAME             READY   STATUS    RESTARTS   AGE
frontend-hmmj2   1/1     Running   0          9s

Response:
pod1             1/1     Running   0          36s
pod2             1/1     Running   0          36s

Context: ReplicaSet | In this manner, a ReplicaSet can own a non-homogeneous set of Pods


Prompt:
Explain this text code:

NAME             READY   STATUS    RESTARTS   AGE
frontend-hmmj2   1/1     Running   0          9s
pod1             1/1     Running   0          36s
pod2             1/1     Running   0          36s

Response: This text code ReplicaSet | In this manner, a ReplicaSet can own a non-homogeneous set of Pods


Prompt:
Complete this bash code:

kubectl proxy --port=8080
curl -X DELETE  'localhost:8080/apis/apps/v1/namespaces/default/replicasets/frontend' \

Response:
  -d '{"kind":"DeleteOptions","apiVersion":"v1","propagationPolicy":"Foreground"}' \
  -H "Content-Type: application/json"

Context: ReplicaSet | You can delete a ReplicaSet without affecting any of its Pods using kubectl delete with the --cascade=orphan option. When using the REST API or the client-go library, you must set propagationPolicy to


Prompt:
Explain this bash code:

kubectl proxy --port=8080
curl -X DELETE  'localhost:8080/apis/apps/v1/namespaces/default/replicasets/frontend' \
  -d '{"kind":"DeleteOptions","apiVersion":"v1","propagationPolicy":"Foreground"}' \
  -H "Content-Type: application/json"

Response: This bash code ReplicaSet | You can delete a ReplicaSet without affecting any of its Pods using kubectl delete with the --cascade=orphan option. When using the REST API or the client-go library, you must set propagationPolicy to


Prompt:
Complete this bash code:

kubectl proxy --port=8080
curl -X DELETE  'localhost:8080/apis/apps/v1/namespaces/default/replicasets/frontend' \

Response:
  -d '{"kind":"DeleteOptions","apiVersion":"v1","propagationPolicy":"Orphan"}' \
  -H "Content-Type: application/json"

Context: ReplicaSet | Once the original is deleted, you can create a new ReplicaSet to replace it. As long as the old and new .spec.selector are the same, then the new one will adopt the old Pods. However, it will not make


Prompt:
Explain this bash code:

kubectl proxy --port=8080
curl -X DELETE  'localhost:8080/apis/apps/v1/namespaces/default/replicasets/frontend' \
  -d '{"kind":"DeleteOptions","apiVersion":"v1","propagationPolicy":"Orphan"}' \
  -H "Content-Type: application/json"

Response: This bash code ReplicaSet | Once the original is deleted, you can create a new ReplicaSet to replace it. As long as the old and new .spec.selector are the same, then the new one will adopt the old Pods. However, it will not make


Prompt:
Complete this yaml code:

apiVersion: autoscaling/v1
kind: HorizontalPodAutoscaler
metadata:
  name: frontend-scaler
spec:

Response:
  scaleTargetRef:
    kind: ReplicaSet
    name: frontend
  minReplicas: 3
  maxReplicas: 10
  targetCPUUtilizationPercentage: 50

Context: ReplicaSet | Saving this manifest into hpa-rs.yaml and submitting it to a Kubernetes cluster should create the defined HPA that autoscales the target ReplicaSet depending on the CPU usage of the replicated Pods.


Prompt:
Explain this yaml code:

apiVersion: autoscaling/v1
kind: HorizontalPodAutoscaler
metadata:
  name: frontend-scaler
spec:
  scaleTargetRef:
    kind: ReplicaSet
    name: frontend
  minReplicas: 3
  maxReplicas: 10
  targetCPUUtilizationPercentage: 50

Response: This yaml code ReplicaSet | Saving this manifest into hpa-rs.yaml and submitting it to a Kubernetes cluster should create the defined HPA that autoscales the target ReplicaSet depending on the CPU usage of the replicated Pods.


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/controllers/hpa-rs.yaml

Response: This bash code ReplicaSet | Alternatively, you can use the kubectl autoscale command to accomplish the same (and it's easier!)

Context: ReplicaSet | Alternatively, you can use the kubectl autoscale command to accomplish the same (and it's easier!)


Prompt:
Explain this bash code:

kubectl autoscale rs frontend --max=10 --min=3 --cpu-percent=50

Response: This bash code ReplicaSet | Deployment is an object which can own ReplicaSets and update them and their Pods via declarative, server-side rolling updates. While ReplicaSets can be used independently, today they're mainly used by

Context: ReplicaSet | Deployment is an object which can own ReplicaSets and update them and their Pods via declarative, server-side rolling updates. While ReplicaSets can be used independently, today they're mainly used by


Prompt:
Complete this yaml code:

apiVersion: apps/v1
kind: ReplicaSet
metadata:
  name: frontend
  labels:
    app: guestbook
    tier: frontend
spec:
  # modify replicas according to your case
  replicas: 3

Response:
  selector:
    matchLabels:
      tier: frontend
  template:
    metadata:
      labels:
        tier: frontend
    spec:
      containers:
      - name: php-redis
        image: us-docker.pkg.dev/google-samples/containers/gke/gb-frontend:v5

Context: ReplicaSet | Saving this manifest into frontend.yaml and submitting it to a Kubernetes cluster will create the defined ReplicaSet and the Pods that it manages.


Prompt:
Explain this yaml code:

apiVersion: apps/v1
kind: ReplicaSet
metadata:
  name: frontend
  labels:
    app: guestbook
    tier: frontend
spec:
  # modify replicas according to your case
  replicas: 3
  selector:
    matchLabels:
      tier: frontend
  template:
    metadata:
      labels:
        tier: frontend
    spec:
      containers:
      - name: php-redis
        image: us-docker.pkg.dev/google-samples/containers/gke/gb-frontend:v5

Response: This yaml code ReplicaSet | Saving this manifest into frontend.yaml and submitting it to a Kubernetes cluster will create the defined ReplicaSet and the Pods that it manages.


Prompt:
Explain this shell code:

kubectl apply -f https://kubernetes.io/examples/controllers/frontend.yaml

Response: This shell code ReplicaSet | You can then get the current ReplicaSets deployed:

Context: ReplicaSet | You can then get the current ReplicaSets deployed:


Prompt:
Explain this text code:

NAME       DESIRED   CURRENT   READY   AGE
frontend   3         3         3       6s

Response: This text code ReplicaSet | You can also check on the state of the ReplicaSet:

Context: ReplicaSet | You can also check on the state of the ReplicaSet:


Prompt:
Complete this text code:

Name:         frontend
Namespace:    default
Selector:     tier=frontend
Labels:       app=guestbook
              tier=frontend
Annotations:  <none>
Replicas:     3 current / 3 desired
Pods Status:  3 Running / 0 Waiting / 0 Succeeded / 0 Failed
Pod Template:
  Labels:  tier=frontend
  Containers:
   php-redis:

Response:
    Image:        us-docker.pkg.dev/google-samples/containers/gke/gb-frontend:v5
    Port:         <none>
    Host Port:    <none>
    Environment:  <none>
    Mounts:       <none>
  Volumes:        <none>
Events:
  Type    Reason            Age   From                   Message
  ----    ------            ----  ----                   -------
  Normal  SuccessfulCreate  13s   replicaset-controller  Created pod: frontend-gbgfx
  Normal  SuccessfulCreate  13s   replicaset-controller  Created pod: frontend-rwz57
  Normal  SuccessfulCreate  13s   replicaset-controller  Created pod: frontend-wkl7w

Context: ReplicaSet | And lastly you can check for the Pods brought up:


Prompt:
Explain this text code:

Name:         frontend
Namespace:    default
Selector:     tier=frontend
Labels:       app=guestbook
              tier=frontend
Annotations:  <none>
Replicas:     3 current / 3 desired
Pods Status:  3 Running / 0 Waiting / 0 Succeeded / 0 Failed
Pod Template:
  Labels:  tier=frontend
  Containers:
   php-redis:
    Image:        us-docker.pkg.dev/google-samples/containers/gke/gb-frontend:v5
    Port:         <none>
    Host Port:    <none>
    Environment:  <none>
    Mounts:       <none>
  Volumes:        <none>
Events:
  Type    Reason            Age   From                   Message
  ----    ------            ----  ----                   -------
  Normal  SuccessfulCreate  13s   replicaset-controller  Created pod: frontend-gbgfx
  Normal  SuccessfulCreate  13s   replicaset-controller  Created pod: frontend-rwz57
  Normal  SuccessfulCreate  13s   replicaset-controller  Created pod: frontend-wkl7w

Response: This text code ReplicaSet | And lastly you can check for the Pods brought up:


Prompt:
Complete this text code:

NAME             READY   STATUS    RESTARTS   AGE
frontend-gbgfx   1/1     Running   0          10m

Response:
frontend-rwz57   1/1     Running   0          10m
frontend-wkl7w   1/1     Running   0          10m

Context: ReplicaSet | You can also verify that the owner reference of these pods is set to the frontend ReplicaSet. To do this, get the yaml of one of the Pods running:


Prompt:
Explain this text code:

NAME             READY   STATUS    RESTARTS   AGE
frontend-gbgfx   1/1     Running   0          10m
frontend-rwz57   1/1     Running   0          10m
frontend-wkl7w   1/1     Running   0          10m

Response: This text code ReplicaSet | You can also verify that the owner reference of these pods is set to the frontend ReplicaSet. To do this, get the yaml of one of the Pods running:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  creationTimestamp: "2024-02-28T22:30:44Z"
  generateName: frontend-
  labels:
    tier: frontend
  name: frontend-gbgfx

Response:
  namespace: default
  ownerReferences:
  - apiVersion: apps/v1
    blockOwnerDeletion: true
    controller: true
    kind: ReplicaSet
    name: frontend
    uid: e129deca-f864-481b-bb16-b27abfd92292
...

Context: ReplicaSet | While you can create bare Pods with no problems, it is strongly recommended to make sure that the bare Pods do not have labels which match the selector of one of your ReplicaSets. The reason for this


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  creationTimestamp: "2024-02-28T22:30:44Z"
  generateName: frontend-
  labels:
    tier: frontend
  name: frontend-gbgfx
  namespace: default
  ownerReferences:
  - apiVersion: apps/v1
    blockOwnerDeletion: true
    controller: true
    kind: ReplicaSet
    name: frontend
    uid: e129deca-f864-481b-bb16-b27abfd92292
...

Response: This yaml code ReplicaSet | While you can create bare Pods with no problems, it is strongly recommended to make sure that the bare Pods do not have labels which match the selector of one of your ReplicaSets. The reason for this


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: pod1
  labels:
    tier: frontend
spec:
  containers:
  - name: hello1
    image: gcr.io/google-samples/hello-app:2.0

Response:
---

apiVersion: v1
kind: Pod
metadata:
  name: pod2
  labels:
    tier: frontend
spec:
  containers:
  - name: hello2
    image: gcr.io/google-samples/hello-app:1.0

Context: ReplicaSet | As those Pods do not have a Controller (or any object) as their owner reference and match the selector of the frontend ReplicaSet, they will immediately be acquired by it.


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: pod1
  labels:
    tier: frontend
spec:
  containers:
  - name: hello1
    image: gcr.io/google-samples/hello-app:2.0

---

apiVersion: v1
kind: Pod
metadata:
  name: pod2
  labels:
    tier: frontend
spec:
  containers:
  - name: hello2
    image: gcr.io/google-samples/hello-app:1.0

Response: This yaml code ReplicaSet | As those Pods do not have a Controller (or any object) as their owner reference and match the selector of the frontend ReplicaSet, they will immediately be acquired by it.


Prompt:
Explain this shell code:

kubectl apply -f https://kubernetes.io/examples/pods/pod-rs.yaml

Response: This shell code ReplicaSet | The new Pods will be acquired by the ReplicaSet, and then immediately terminated as the ReplicaSet would be over its desired count.

Context: ReplicaSet | The new Pods will be acquired by the ReplicaSet, and then immediately terminated as the ReplicaSet would be over its desired count.


Prompt:
Complete this text code:

NAME             READY   STATUS        RESTARTS   AGE
frontend-b2zdv   1/1     Running       0          10m
frontend-vcmts   1/1     Running       0          10m

Response:
frontend-wtsmm   1/1     Running       0          10m
pod1             0/1     Terminating   0          1s
pod2             0/1     Terminating   0          1s

Context: ReplicaSet | If you create the Pods first:


Prompt:
Explain this text code:

NAME             READY   STATUS        RESTARTS   AGE
frontend-b2zdv   1/1     Running       0          10m
frontend-vcmts   1/1     Running       0          10m
frontend-wtsmm   1/1     Running       0          10m
pod1             0/1     Terminating   0          1s
pod2             0/1     Terminating   0          1s

Response: This text code ReplicaSet | If you create the Pods first:


Prompt:
Explain this shell code:

kubectl apply -f https://kubernetes.io/examples/pods/pod-rs.yaml

Response: This shell code ReplicaSet | And then create the ReplicaSet however:

Context: ReplicaSet | And then create the ReplicaSet however:


Prompt:
Explain this shell code:

kubectl apply -f https://kubernetes.io/examples/controllers/frontend.yaml

Response: This shell code ReplicaSet | You shall see that the ReplicaSet has acquired the Pods and has only created new ones according to its spec until the number of its new Pods and the original matches its desired count. As fetching the

Context: ReplicaSet | You shall see that the ReplicaSet has acquired the Pods and has only created new ones according to its spec until the number of its new Pods and the original matches its desired count. As fetching the


Prompt:
Complete this text code:

NAME             READY   STATUS    RESTARTS   AGE
frontend-hmmj2   1/1     Running   0          9s

Response:
pod1             1/1     Running   0          36s
pod2             1/1     Running   0          36s

Context: ReplicaSet | In this manner, a ReplicaSet can own a non-homogeneous set of Pods


Prompt:
Explain this text code:

NAME             READY   STATUS    RESTARTS   AGE
frontend-hmmj2   1/1     Running   0          9s
pod1             1/1     Running   0          36s
pod2             1/1     Running   0          36s

Response: This text code ReplicaSet | In this manner, a ReplicaSet can own a non-homogeneous set of Pods


Prompt:
Complete this shell code:

kubectl proxy --port=8080
curl -X DELETE  'localhost:8080/apis/apps/v1/namespaces/default/replicasets/frontend' \

Response:
  -d '{"kind":"DeleteOptions","apiVersion":"v1","propagationPolicy":"Foreground"}' \
  -H "Content-Type: application/json"

Context: ReplicaSet | You can delete a ReplicaSet without affecting any of its Pods using kubectl delete with the --cascade=orphan option. When using the REST API or the client-go library, you must set propagationPolicy to


Prompt:
Explain this shell code:

kubectl proxy --port=8080
curl -X DELETE  'localhost:8080/apis/apps/v1/namespaces/default/replicasets/frontend' \
  -d '{"kind":"DeleteOptions","apiVersion":"v1","propagationPolicy":"Foreground"}' \
  -H "Content-Type: application/json"

Response: This shell code ReplicaSet | You can delete a ReplicaSet without affecting any of its Pods using kubectl delete with the --cascade=orphan option. When using the REST API or the client-go library, you must set propagationPolicy to


Prompt:
Complete this shell code:

kubectl proxy --port=8080
curl -X DELETE  'localhost:8080/apis/apps/v1/namespaces/default/replicasets/frontend' \

Response:
  -d '{"kind":"DeleteOptions","apiVersion":"v1","propagationPolicy":"Orphan"}' \
  -H "Content-Type: application/json"

Context: ReplicaSet | Once the original is deleted, you can create a new ReplicaSet to replace it. As long as the old and new .spec.selector are the same, then the new one will adopt the old Pods. However, it will not make


Prompt:
Explain this shell code:

kubectl proxy --port=8080
curl -X DELETE  'localhost:8080/apis/apps/v1/namespaces/default/replicasets/frontend' \
  -d '{"kind":"DeleteOptions","apiVersion":"v1","propagationPolicy":"Orphan"}' \
  -H "Content-Type: application/json"

Response: This shell code ReplicaSet | Once the original is deleted, you can create a new ReplicaSet to replace it. As long as the old and new .spec.selector are the same, then the new one will adopt the old Pods. However, it will not make


Prompt:
Complete this yaml code:

apiVersion: autoscaling/v1
kind: HorizontalPodAutoscaler
metadata:
  name: frontend-scaler
spec:

Response:
  scaleTargetRef:
    kind: ReplicaSet
    name: frontend
  minReplicas: 3
  maxReplicas: 10
  targetCPUUtilizationPercentage: 50

Context: ReplicaSet | Saving this manifest into hpa-rs.yaml and submitting it to a Kubernetes cluster should create the defined HPA that autoscales the target ReplicaSet depending on the CPU usage of the replicated Pods.


Prompt:
Explain this yaml code:

apiVersion: autoscaling/v1
kind: HorizontalPodAutoscaler
metadata:
  name: frontend-scaler
spec:
  scaleTargetRef:
    kind: ReplicaSet
    name: frontend
  minReplicas: 3
  maxReplicas: 10
  targetCPUUtilizationPercentage: 50

Response: This yaml code ReplicaSet | Saving this manifest into hpa-rs.yaml and submitting it to a Kubernetes cluster should create the defined HPA that autoscales the target ReplicaSet depending on the CPU usage of the replicated Pods.


Prompt:
Explain this shell code:

kubectl apply -f https://k8s.io/examples/controllers/hpa-rs.yaml

Response: This shell code ReplicaSet | Alternatively, you can use the kubectl autoscale command to accomplish the same (and it's easier!)

Context: ReplicaSet | Alternatively, you can use the kubectl autoscale command to accomplish the same (and it's easier!)


Prompt:
Explain this shell code:

kubectl autoscale rs frontend --max=10 --min=3 --cpu-percent=50

Response: This shell code ReplicaSet | Deployment is an object which can own ReplicaSets and update them and their Pods via declarative, server-side rolling updates. While ReplicaSets can be used independently, today they're mainly used by

Context: ReplicaSet | Deployment is an object which can own ReplicaSets and update them and their Pods via declarative, server-side rolling updates. While ReplicaSets can be used independently, today they're mainly used by


Prompt:
Complete this yaml code:

controllers/frontend.yaml
apiVersion: apps/v1
kind: ReplicaSet
metadata:
  name: frontend
  labels:
    app: guestbook
    tier: frontend
spec:
  # modify replicas according to your case
  replicas: 3

Response:
  selector:
    matchLabels:
      tier: frontend
  template:
    metadata:
      labels:
        tier: frontend
    spec:
      containers:
      - name: php-redis
        image: us-docker.pkg.dev/google-samples/containers/gke/gb-frontend:v5

Context: ReplicaSet | Saving this manifest into frontend.yaml and submitting it to a Kubernetes cluster will create the defined ReplicaSet and the Pods that it manages.


Prompt:
Explain this yaml code:

controllers/frontend.yaml
apiVersion: apps/v1
kind: ReplicaSet
metadata:
  name: frontend
  labels:
    app: guestbook
    tier: frontend
spec:
  # modify replicas according to your case
  replicas: 3
  selector:
    matchLabels:
      tier: frontend
  template:
    metadata:
      labels:
        tier: frontend
    spec:
      containers:
      - name: php-redis
        image: us-docker.pkg.dev/google-samples/containers/gke/gb-frontend:v5

Response: This yaml code ReplicaSet | Saving this manifest into frontend.yaml and submitting it to a Kubernetes cluster will create the defined ReplicaSet and the Pods that it manages.


Prompt:
Complete this yaml code:

apiVersion: apps/v1
kind: ReplicaSet
metadata:
  name: frontend
  labels:
    app: guestbook
    tier: frontend
spec:
  # modify replicas according to your case
  replicas: 3

Response:
  selector:
    matchLabels:
      tier: frontend
  template:
    metadata:
      labels:
        tier: frontend
    spec:
      containers:
      - name: php-redis
        image: us-docker.pkg.dev/google-samples/containers/gke/gb-frontend:v5


Prompt:
Explain this yaml code:

apiVersion: apps/v1
kind: ReplicaSet
metadata:
  name: frontend
  labels:
    app: guestbook
    tier: frontend
spec:
  # modify replicas according to your case
  replicas: 3
  selector:
    matchLabels:
      tier: frontend
  template:
    metadata:
      labels:
        tier: frontend
    spec:
      containers:
      - name: php-redis
        image: us-docker.pkg.dev/google-samples/containers/gke/gb-frontend:v5

Response: This yaml code ReplicaSet | Saving this manifest into frontend.yaml and submitting it to a Kubernetes cluster will create the defined ReplicaSet and the Pods that it manages.


Prompt:
Explain this bash code:

kubectl apply -f https://kubernetes.io/examples/controllers/frontend.yaml

Response: This bash code ReplicaSet | You can then get the current ReplicaSets deployed:

Context: ReplicaSet | You can then get the current ReplicaSets deployed:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  creationTimestamp: "2024-02-28T22:30:44Z"
  generateName: frontend-
  labels:
    tier: frontend
  name: frontend-gbgfx

Response:
  namespace: default
  ownerReferences:
  - apiVersion: apps/v1
    blockOwnerDeletion: true
    controller: true
    kind: ReplicaSet
    name: frontend
    uid: e129deca-f864-481b-bb16-b27abfd92292
...


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  creationTimestamp: "2024-02-28T22:30:44Z"
  generateName: frontend-
  labels:
    tier: frontend
  name: frontend-gbgfx
  namespace: default
  ownerReferences:
  - apiVersion: apps/v1
    blockOwnerDeletion: true
    controller: true
    kind: ReplicaSet
    name: frontend
    uid: e129deca-f864-481b-bb16-b27abfd92292
...

Response: This yaml code ReplicaSet | While you can create bare Pods with no problems, it is strongly recommended to make sure that the bare Pods do not have labels which match the selector of one of your ReplicaSets. The reason for this


Prompt:
Complete this yaml code:

pods/pod-rs.yaml
apiVersion: v1
kind: Pod
metadata:
  name: pod1
  labels:
    tier: frontend
spec:
  containers:
  - name: hello1
    image: gcr.io/google-samples/hello-app:2.0

Response:
---

apiVersion: v1
kind: Pod
metadata:
  name: pod2
  labels:
    tier: frontend
spec:
  containers:
  - name: hello2
    image: gcr.io/google-samples/hello-app:1.0


Prompt:
Explain this yaml code:

pods/pod-rs.yaml
apiVersion: v1
kind: Pod
metadata:
  name: pod1
  labels:
    tier: frontend
spec:
  containers:
  - name: hello1
    image: gcr.io/google-samples/hello-app:2.0

---

apiVersion: v1
kind: Pod
metadata:
  name: pod2
  labels:
    tier: frontend
spec:
  containers:
  - name: hello2
    image: gcr.io/google-samples/hello-app:1.0

Response: This yaml code ReplicaSet | As those Pods do not have a Controller (or any object) as their owner reference and match the selector of the frontend ReplicaSet, they will immediately be acquired by it.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: pod1
  labels:
    tier: frontend
spec:
  containers:
  - name: hello1
    image: gcr.io/google-samples/hello-app:2.0

Response:
---

apiVersion: v1
kind: Pod
metadata:
  name: pod2
  labels:
    tier: frontend
spec:
  containers:
  - name: hello2
    image: gcr.io/google-samples/hello-app:1.0


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: pod1
  labels:
    tier: frontend
spec:
  containers:
  - name: hello1
    image: gcr.io/google-samples/hello-app:2.0

---

apiVersion: v1
kind: Pod
metadata:
  name: pod2
  labels:
    tier: frontend
spec:
  containers:
  - name: hello2
    image: gcr.io/google-samples/hello-app:1.0

Response: This yaml code ReplicaSet | As those Pods do not have a Controller (or any object) as their owner reference and match the selector of the frontend ReplicaSet, they will immediately be acquired by it.


Prompt:
Explain this bash code:

kubectl apply -f https://kubernetes.io/examples/pods/pod-rs.yaml

Response: This bash code ReplicaSet | The new Pods will be acquired by the ReplicaSet, and then immediately terminated as the ReplicaSet would be over its desired count.