Prompt:
Explain this text code:

# Create a service for a replicated nginx, which serves on port 80 and connects to the containers on port 8000
  kubectl expose rc nginx --port=80 --target-port=8000

  # Create a service for a replication controller identified by type and name specified in "nginx-controller.yaml", which serves on port 80 and connects to the containers on port 8000
  kubectl expose -f nginx-controller.yaml --port=80 --target-port=8000

  # Create a service for a pod valid-pod, which serves on port 444 with the name "frontend"
  kubectl expose pod valid-pod --port=444 --name=frontend

  # Create a second service based on the above service, exposing the container port 8443 as port 443 with the name "nginx-https"
  kubectl expose service nginx --port=443 --target-port=8443 --name=nginx-https

  # Create a service for a replicated streaming application on port 4100 balancing UDP traffic and named 'video-stream'.
  kubectl expose rc streamer --port=4100 --protocol=UDP --name=video-stream

  # Create a service for a replicated nginx using replica set, which serves on port 80 and connects to the containers on port 8000
  kubectl expose rs nginx --port=80 --target-port=8000

  # Create a service for an nginx deployment, which serves on port 80 and connects to the containers on port 8000
  kubectl expose deployment nginx --port=80 --target-port=8000

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


Prompt:
Complete this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: GatewayClass
metadata:

Response:
  name: example-class
spec:
  controllerName: example.com/gateway-controller

Context: Gateway API | In this example, a controller that has implemented Gateway API is configured to manage GatewayClasses with the controller name example.com/gateway-controller. Gateways of this class will be managed by


Prompt:
Explain this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: GatewayClass
metadata:
  name: example-class
spec:
  controllerName: example.com/gateway-controller

Response: This yaml code Gateway API | In this example, a controller that has implemented Gateway API is configured to manage GatewayClasses with the controller name example.com/gateway-controller. Gateways of this class will be managed by


Prompt:
Complete this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: Gateway
metadata:
  name: example-gateway
spec:

Response:
  gatewayClassName: example-class
  listeners:
  - name: http
    protocol: HTTP
    port: 80

Context: Gateway API | In this example, an instance of traffic handling infrastructure is programmed to listen for HTTP traffic on port 80. Since the addresses field is unspecified, an address or hostname is assigned to the


Prompt:
Explain this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: Gateway
metadata:
  name: example-gateway
spec:
  gatewayClassName: example-class
  listeners:
  - name: http
    protocol: HTTP
    port: 80

Response: This yaml code Gateway API | In this example, an instance of traffic handling infrastructure is programmed to listen for HTTP traffic on port 80. Since the addresses field is unspecified, an address or hostname is assigned to the


Prompt:
Complete this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: HTTPRoute
metadata:
  name: example-httproute
spec:
  parentRefs:
  - name: example-gateway
  hostnames:

Response:
  - "www.example.com"
  rules:
  - matches:
    - path:
        type: PathPrefix
        value: /login
    backendRefs:
    - name: example-svc
      port: 8080

Context: Gateway API | In this example, HTTP traffic from Gateway example-gateway with the Host: header set to www.example.com and the request path specified as /login will be routed to Service example-svc on port 8080.


Prompt:
Explain this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: HTTPRoute
metadata:
  name: example-httproute
spec:
  parentRefs:
  - name: example-gateway
  hostnames:
  - "www.example.com"
  rules:
  - matches:
    - path:
        type: PathPrefix
        value: /login
    backendRefs:
    - name: example-svc
      port: 8080

Response: This yaml code Gateway API | In this example, HTTP traffic from Gateway example-gateway with the Host: header set to www.example.com and the request path specified as /login will be routed to Service example-svc on port 8080.


Prompt:
Complete this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: GRPCRoute
metadata:
  name: example-grpcroute
spec:
  parentRefs:

Response:
  - name: example-gateway
  hostnames:
  - "svc.example.com"
  rules:
  - backendRefs:
    - name: example-svc
      port: 50051

Context: Gateway API | In this example, gRPC traffic from Gateway example-gateway with the host set to svc.example.com will be directed to the service example-svc on port 50051 from the same namespace.


Prompt:
Explain this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: GRPCRoute
metadata:
  name: example-grpcroute
spec:
  parentRefs:
  - name: example-gateway
  hostnames:
  - "svc.example.com"
  rules:
  - backendRefs:
    - name: example-svc
      port: 50051

Response: This yaml code Gateway API | In this example, gRPC traffic from Gateway example-gateway with the host set to svc.example.com will be directed to the service example-svc on port 50051 from the same namespace.


Prompt:
Complete this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: GRPCRoute
metadata:
  name: example-grpcroute
spec:
  parentRefs:
  - name: example-gateway
  hostnames:

Response:
  - "svc.example.com"
  rules:
  - matches:
    - method:
        service: com.example
        method: Login
    backendRefs:
    - name: foo-svc
      port: 50051

Context: Gateway API | In this case, the GRPCRoute will match any traffic for svc.example.com and apply its routing rules to forward the traffic to the correct backend. Since there is only one match specified,only requests


Prompt:
Explain this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: GRPCRoute
metadata:
  name: example-grpcroute
spec:
  parentRefs:
  - name: example-gateway
  hostnames:
  - "svc.example.com"
  rules:
  - matches:
    - method:
        service: com.example
        method: Login
    backendRefs:
    - name: foo-svc
      port: 50051

Response: This yaml code Gateway API | In this case, the GRPCRoute will match any traffic for svc.example.com and apply its routing rules to forward the traffic to the correct backend. Since there is only one match specified,only requests


Prompt:
Complete this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: GatewayClass
metadata:

Response:
  name: example-class
spec:
  controllerName: example.com/gateway-controller


Prompt:
Explain this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: GatewayClass
metadata:
  name: example-class
spec:
  controllerName: example.com/gateway-controller

Response: This yaml code Gateway API | In this example, a controller that has implemented Gateway API is configured to manage GatewayClasses with the controller name example.com/gateway-controller. Gateways of this class will be managed by


Prompt:
Complete this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: Gateway
metadata:
  name: example-gateway
spec:

Response:
  gatewayClassName: example-class
  listeners:
  - name: http
    protocol: HTTP
    port: 80


Prompt:
Explain this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: Gateway
metadata:
  name: example-gateway
spec:
  gatewayClassName: example-class
  listeners:
  - name: http
    protocol: HTTP
    port: 80

Response: This yaml code Gateway API | In this example, an instance of traffic handling infrastructure is programmed to listen for HTTP traffic on port 80. Since the addresses field is unspecified, an address or hostname is assigned to the


Prompt:
Complete this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: HTTPRoute
metadata:
  name: example-httproute
spec:
  parentRefs:
  - name: example-gateway
  hostnames:

Response:
  - "www.example.com"
  rules:
  - matches:
    - path:
        type: PathPrefix
        value: /login
    backendRefs:
    - name: example-svc
      port: 8080


Prompt:
Explain this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: HTTPRoute
metadata:
  name: example-httproute
spec:
  parentRefs:
  - name: example-gateway
  hostnames:
  - "www.example.com"
  rules:
  - matches:
    - path:
        type: PathPrefix
        value: /login
    backendRefs:
    - name: example-svc
      port: 8080

Response: This yaml code Gateway API | In this example, HTTP traffic from Gateway example-gateway with the Host: header set to www.example.com and the request path specified as /login will be routed to Service example-svc on port 8080.


Prompt:
Complete this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: GRPCRoute
metadata:
  name: example-grpcroute
spec:
  parentRefs:

Response:
  - name: example-gateway
  hostnames:
  - "svc.example.com"
  rules:
  - backendRefs:
    - name: example-svc
      port: 50051


Prompt:
Explain this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: GRPCRoute
metadata:
  name: example-grpcroute
spec:
  parentRefs:
  - name: example-gateway
  hostnames:
  - "svc.example.com"
  rules:
  - backendRefs:
    - name: example-svc
      port: 50051

Response: This yaml code Gateway API | In this example, gRPC traffic from Gateway example-gateway with the host set to svc.example.com will be directed to the service example-svc on port 50051 from the same namespace.


Prompt:
Complete this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: GRPCRoute
metadata:
  name: example-grpcroute
spec:
  parentRefs:
  - name: example-gateway
  hostnames:

Response:
  - "svc.example.com"
  rules:
  - matches:
    - method:
        service: com.example
        method: Login
    backendRefs:
    - name: foo-svc
      port: 50051


Prompt:
Explain this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: GRPCRoute
metadata:
  name: example-grpcroute
spec:
  parentRefs:
  - name: example-gateway
  hostnames:
  - "svc.example.com"
  rules:
  - matches:
    - method:
        service: com.example
        method: Login
    backendRefs:
    - name: foo-svc
      port: 50051

Response: This yaml code Gateway API | In this case, the GRPCRoute will match any traffic for svc.example.com and apply its routing rules to forward the traffic to the correct backend. Since there is only one match specified,only requests


Prompt:
Complete this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: GatewayClass
metadata:

Response:
  name: example-class
spec:
  controllerName: example.com/gateway-controller


Prompt:
Explain this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: GatewayClass
metadata:
  name: example-class
spec:
  controllerName: example.com/gateway-controller

Response: This yaml code Gateway API | In this example, a controller that has implemented Gateway API is configured to manage GatewayClasses with the controller name example.com/gateway-controller. Gateways of this class will be managed by


Prompt:
Complete this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: Gateway
metadata:
  name: example-gateway
spec:

Response:
  gatewayClassName: example-class
  listeners:
  - name: http
    protocol: HTTP
    port: 80


Prompt:
Explain this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: Gateway
metadata:
  name: example-gateway
spec:
  gatewayClassName: example-class
  listeners:
  - name: http
    protocol: HTTP
    port: 80

Response: This yaml code Gateway API | In this example, an instance of traffic handling infrastructure is programmed to listen for HTTP traffic on port 80. Since the addresses field is unspecified, an address or hostname is assigned to the


Prompt:
Complete this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: HTTPRoute
metadata:
  name: example-httproute
spec:
  parentRefs:
  - name: example-gateway
  hostnames:

Response:
  - "www.example.com"
  rules:
  - matches:
    - path:
        type: PathPrefix
        value: /login
    backendRefs:
    - name: example-svc
      port: 8080


Prompt:
Explain this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: HTTPRoute
metadata:
  name: example-httproute
spec:
  parentRefs:
  - name: example-gateway
  hostnames:
  - "www.example.com"
  rules:
  - matches:
    - path:
        type: PathPrefix
        value: /login
    backendRefs:
    - name: example-svc
      port: 8080

Response: This yaml code Gateway API | In this example, HTTP traffic from Gateway example-gateway with the Host: header set to www.example.com and the request path specified as /login will be routed to Service example-svc on port 8080.


Prompt:
Complete this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: GRPCRoute
metadata:
  name: example-grpcroute
spec:
  parentRefs:

Response:
  - name: example-gateway
  hostnames:
  - "svc.example.com"
  rules:
  - backendRefs:
    - name: example-svc
      port: 50051


Prompt:
Explain this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: GRPCRoute
metadata:
  name: example-grpcroute
spec:
  parentRefs:
  - name: example-gateway
  hostnames:
  - "svc.example.com"
  rules:
  - backendRefs:
    - name: example-svc
      port: 50051

Response: This yaml code Gateway API | In this example, gRPC traffic from Gateway example-gateway with the host set to svc.example.com will be directed to the service example-svc on port 50051 from the same namespace.


Prompt:
Complete this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: GRPCRoute
metadata:
  name: example-grpcroute
spec:
  parentRefs:
  - name: example-gateway
  hostnames:

Response:
  - "svc.example.com"
  rules:
  - matches:
    - method:
        service: com.example
        method: Login
    backendRefs:
    - name: foo-svc
      port: 50051


Prompt:
Explain this yaml code:

apiVersion: gateway.networking.k8s.io/v1
kind: GRPCRoute
metadata:
  name: example-grpcroute
spec:
  parentRefs:
  - name: example-gateway
  hostnames:
  - "svc.example.com"
  rules:
  - matches:
    - method:
        service: com.example
        method: Login
    backendRefs:
    - name: foo-svc
      port: 50051

Response: This yaml code Gateway API | In this case, the GRPCRoute will match any traffic for svc.example.com and apply its routing rules to forward the traffic to the correct backend. Since there is only one match specified,only requests


Prompt:
Explain this bash code:

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

Response: This bash code Using a Service to Expose Your App | We have now a running Service called kubernetes-bootcamp. Here we see that the Service received a unique cluster-IP, an internal port and an external-IP (the IP of the Node).

Context: Using a Service to Expose Your App | We have now a running Service called kubernetes-bootcamp. Here we see that the Service received a unique cluster-IP, an internal port and an external-IP (the IP of the Node).


Prompt:
Explain this text code:

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

Response: This text code Using a Service to Expose Your App | Now we can test that the app is exposed outside of the cluster using curl, the IP address of the Node and the externally exposed port:

Context: Using a Service to Expose Your App | Now we can test that the app is exposed outside of the cluster using curl, the IP address of the Node and the externally exposed port:


Prompt:
Explain this text code:

http://127.0.0.1:51082
!  Because you are using a Docker driver on darwin, the terminal needs to be open to run it.

Response: This text code Using a Service to Expose Your App | Then use the given URL to access the app:

Context: Using a Service to Expose Your App | Then use the given URL to access the app:


Prompt:
Explain this text code:

export POD_NAME="$(kubectl get pods -o go-template --template '{{range .items}}{{.metadata.name}}{{"\n"}}{{end}}')"
echo "Name of the Pod: $POD_NAME"

Response: This text code Using a Service to Expose Your App | To apply a new label we use the label subcommand followed by the object type, object name and the new label:

Context: Using a Service to Expose Your App | To apply a new label we use the label subcommand followed by the object type, object name and the new label:


Prompt:
Explain this bash code:

kubectl exec -ti $POD_NAME -- curl http://localhost:8080

Response: This bash code Using a Service to Expose Your App | We see here that the application is up. This is because the Deployment is managing the application. To shut down the application, you would need to delete the Deployment as well.

Context: Using a Service to Expose Your App | We see here that the application is up. This is because the Deployment is managing the application. To shut down the application, you would need to delete the Deployment as well.


Prompt:
Explain this shell code:

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

Response: This shell code Using a Service to Expose Your App | We have now a running Service called kubernetes-bootcamp. Here we see that the Service received a unique cluster-IP, an internal port and an external-IP (the IP of the Node).


Prompt:
Explain this shell code:

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

Response: This shell code Using a Service to Expose Your App | Now we can test that the app is exposed outside of the cluster using curl, the IP address of the Node and the externally exposed port:


Prompt:
Explain this text code:

http://127.0.0.1:51082
!  Because you are using a Docker driver on darwin, the terminal needs to be open to run it.

Response: This text code Using a Service to Expose Your App | Then use the given URL to access the app:


Prompt:
Explain this shell code:

export POD_NAME="$(kubectl get pods -o go-template --template '{{range .items}}{{.metadata.name}}{{"\n"}}{{end}}')"
echo "Name of the Pod: $POD_NAME"

Response: This shell code Using a Service to Expose Your App | To apply a new label we use the label subcommand followed by the object type, object name and the new label:


Prompt:
Explain this shell code:

kubectl exec -ti $POD_NAME -- curl http://localhost:8080

Response: This shell code Using a Service to Expose Your App | We see here that the application is up. This is because the Deployment is managing the application. To shut down the application, you would need to delete the Deployment as well.


Prompt:
Explain this bash code:

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

Response: This bash code Using a Service to Expose Your App | We have now a running Service called kubernetes-bootcamp. Here we see that the Service received a unique cluster-IP, an internal port and an external-IP (the IP of the Node).


Prompt:
Explain this text code:

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

Response: This text code Using a Service to Expose Your App | Now we can test that the app is exposed outside of the cluster using curl, the IP address of the Node and the externally exposed port:


Prompt:
Explain this text code:

export POD_NAME="$(kubectl get pods -o go-template --template '{{range .items}}{{.metadata.name}}{{"\n"}}{{end}}')"
echo "Name of the Pod: $POD_NAME"

Response: This text code Using a Service to Expose Your App | To apply a new label we use the label subcommand followed by the object type, object name and the new label:


Prompt:
Explain this bash code:

kubectl exec -ti $POD_NAME -- curl http://localhost:8080

Response: This bash code Using a Service to Expose Your App | We see here that the application is up. This is because the Deployment is managing the application. To shut down the application, you would need to delete the Deployment as well.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: memory-demo
  namespace: pod-resources-example
spec:
  resources:
    requests:

Response:
      memory: "100Mi"
    limits:
      memory: "200Mi"
  containers:
  - name: memory-demo-ctr
    image: nginx
    command: ["stress"]
    args: ["--vm", "1", "--vm-bytes", "150M", "--vm-hang", "1"]

Context: Assign Pod-level CPU and memory resources | The args section in the manifest provides arguments for the container when it starts. The "--vm-bytes", "150M" arguments tell the Container to attempt to allocate 150 MiB of memory.


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: memory-demo
  namespace: pod-resources-example
spec:
  resources:
    requests:
      memory: "100Mi"
    limits:
      memory: "200Mi"
  containers:
  - name: memory-demo-ctr
    image: nginx
    command: ["stress"]
    args: ["--vm", "1", "--vm-bytes", "150M", "--vm-hang", "1"]

Response: This yaml code Assign Pod-level CPU and memory resources | The args section in the manifest provides arguments for the container when it starts. The "--vm-bytes", "150M" arguments tell the Container to attempt to allocate 150 MiB of memory.


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/pods/resource/pod-level-memory-request-limit.yaml --namespace=pod-resources-example

Response: This bash code Assign Pod-level CPU and memory resources | Verify that the Pod is running:

Context: Assign Pod-level CPU and memory resources | Verify that the Pod is running:


Prompt:
Explain this bash code:

kubectl get pod memory-demo --namespace=pod-resources-example

Response: This bash code Assign Pod-level CPU and memory resources | View detailed information about the Pod:

Context: Assign Pod-level CPU and memory resources | View detailed information about the Pod:


Prompt:
Explain this bash code:

kubectl get pod memory-demo --output=yaml --namespace=pod-resources-example

Response: This bash code Assign Pod-level CPU and memory resources | The output shows that the Pod has a memory request of 100 MiB and a memory limit of 200 MiB.

Context: Assign Pod-level CPU and memory resources | The output shows that the Pod has a memory request of 100 MiB and a memory limit of 200 MiB.


Prompt:
Complete this text code:

...
spec:
  containers:
  ...
  resources:

Response:
    requests:
      memory: 100Mi
    limits:
      memory: 200Mi
...

Context: Assign Pod-level CPU and memory resources | Run kubectl top to fetch the metrics for the pod:


Prompt:
Explain this text code:

...
spec:
  containers:
  ...
  resources:
    requests:
      memory: 100Mi
    limits:
      memory: 200Mi
...

Response: This text code Assign Pod-level CPU and memory resources | Run kubectl top to fetch the metrics for the pod:


Prompt:
Explain this bash code:

kubectl top pod memory-demo --namespace=pod-resources-example

Response: This bash code Assign Pod-level CPU and memory resources | The output shows that the Pod is using about 162,900,000 bytes of memory, which is about 150 MiB. This is greater than the Pod's 100 MiB request, but within the Pod's 200 MiB limit.

Context: Assign Pod-level CPU and memory resources | The output shows that the Pod is using about 162,900,000 bytes of memory, which is about 150 MiB. This is greater than the Pod's 100 MiB request, but within the Pod's 200 MiB limit.


Prompt:
Explain this text code:

NAME                        CPU(cores)   MEMORY(bytes)
memory-demo                 <something>  162856960

Response: This text code Assign Pod-level CPU and memory resources | To specify a CPU request for a Pod, include the resources.requests.cpu field in the Pod spec manifest. To specify a CPU limit, include resources.limits.cpu.

Context: Assign Pod-level CPU and memory resources | To specify a CPU request for a Pod, include the resources.requests.cpu field in the Pod spec manifest. To specify a CPU limit, include resources.limits.cpu.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: cpu-demo
  namespace: pod-resources-example
spec:
  resources:
    limits:

Response:
      cpu: "1"
    requests:
      cpu: "0.5"
  containers:
  - name: cpu-demo-ctr
    image: vish/stress
    args:
    - -cpus
    - "2"

Context: Assign Pod-level CPU and memory resources | The args section of the configuration file provides arguments for the container when it starts. The -cpus "2" argument tells the Container to attempt to use 2 CPUs.


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: cpu-demo
  namespace: pod-resources-example
spec:
  resources:
    limits:
      cpu: "1"
    requests:
      cpu: "0.5"
  containers:
  - name: cpu-demo-ctr
    image: vish/stress
    args:
    - -cpus
    - "2"

Response: This yaml code Assign Pod-level CPU and memory resources | The args section of the configuration file provides arguments for the container when it starts. The -cpus "2" argument tells the Container to attempt to use 2 CPUs.


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/pods/resource/pod-level-cpu-request-limit.yaml --namespace=pod-resources-example

Response: This bash code Assign Pod-level CPU and memory resources | Verify that the Pod is running:


Prompt:
Explain this bash code:

kubectl get pod cpu-demo --namespace=pod-resources-example

Response: This bash code Assign Pod-level CPU and memory resources | View detailed information about the Pod:


Prompt:
Explain this bash code:

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

Response: This bash code Assign Pod-level CPU and memory resources | The output shows that the Pod has a CPU request of 500 milliCPU and a CPU limit of 1 CPU.

Context: Assign Pod-level CPU and memory resources | The output shows that the Pod has a CPU request of 500 milliCPU and a CPU limit of 1 CPU.


Prompt:
Complete this text code:

spec:
  containers:
  ...
  resources:

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

Context: Assign Pod-level CPU and memory resources | Use kubectl top to fetch the metrics for the Pod:


Prompt:
Explain this text code:

spec:
  containers:
  ...
  resources:
    limits:
      cpu: "1"
    requests:
      cpu: 500m

Response: This text code Assign Pod-level CPU and memory resources | Use kubectl top to fetch the metrics for the Pod:


Prompt:
Explain this bash code:

kubectl top pod cpu-demo --namespace=pod-resources-example

Response: This bash code Assign Pod-level CPU and memory resources | This example output shows that the Pod is using 974 milliCPU, which is slightly less than the limit of 1 CPU specified in the Pod configuration.

Context: Assign Pod-level CPU and memory resources | This example output shows that the Pod is using 974 milliCPU, which is slightly less than the limit of 1 CPU specified in the Pod configuration.


Prompt:
Explain this text code:

NAME                        CPU(cores)   MEMORY(bytes)
cpu-demo                    974m         <something>

Response: This text code Assign Pod-level CPU and memory resources | Recall that by setting -cpu "2", you configured the Container to attempt to use 2 CPUs, but the Container is only being allowed to use about 1 CPU. The container's CPU use is being throttled, because

Context: Assign Pod-level CPU and memory resources | Recall that by setting -cpu "2", you configured the Container to attempt to use 2 CPUs, but the Container is only being allowed to use about 1 CPU. The container's CPU use is being throttled, because


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: pod-resources-demo
  namespace: pod-resources-example
spec:
  resources:
    limits:
      cpu: "1"
      memory: "200Mi"
    requests:
      cpu: "1"
      memory: "100Mi"
  containers:

Response:
  - name: pod-resources-demo-ctr-1
    image: nginx
    resources:
      limits:
        cpu: "0.5"
        memory: "100Mi"
      requests:
        cpu: "0.5"
        memory: "50Mi"
  - name: pod-resources-demo-ctr-2
    image: fedora
    command:
    - sleep
    - inf

Context: Assign Pod-level CPU and memory resources | Create the Pod:


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: pod-resources-demo
  namespace: pod-resources-example
spec:
  resources:
    limits:
      cpu: "1"
      memory: "200Mi"
    requests:
      cpu: "1"
      memory: "100Mi"
  containers:
  - name: pod-resources-demo-ctr-1
    image: nginx
    resources:
      limits:
        cpu: "0.5"
        memory: "100Mi"
      requests:
        cpu: "0.5"
        memory: "50Mi"
  - name: pod-resources-demo-ctr-2
    image: fedora
    command:
    - sleep
    - inf

Response: This yaml code Assign Pod-level CPU and memory resources | Create the Pod:


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/pods/resource/pod-level-resources.yaml --namespace=pod-resources-example

Response: This bash code Assign Pod-level CPU and memory resources | Verify that the Pod Container is running:

Context: Assign Pod-level CPU and memory resources | Verify that the Pod Container is running:


Prompt:
Explain this bash code:

kubectl get pod-resources-demo --namespace=pod-resources-example

Response: This bash code Assign Pod-level CPU and memory resources | View detailed information about the Pod:


Prompt:
Explain this bash code:

kubectl get pod memory-demo --output=yaml --namespace=pod-resources-example

Response: This bash code Assign Pod-level CPU and memory resources | The output shows that one container in the Pod has a memory request of 50 MiB and a CPU request of 0.5 cores, with a memory limit of 100 MiB and a CPU limit of 0.5 cores. The Pod itself has a memory r

Context: Assign Pod-level CPU and memory resources | The output shows that one container in the Pod has a memory request of 50 MiB and a CPU request of 0.5 cores, with a memory limit of 100 MiB and a CPU limit of 0.5 cores. The Pod itself has a memory r


Prompt:
Complete this text code:

...
containers:
  name: pod-resources-demo-ctr-1
  resources:
      requests:
        cpu: 500m
        memory: 50Mi
      limits:
        cpu: 500m
        memory: 100Mi

Response:
  ...
  name: pod-resources-demo-ctr-2
  resources: {}
resources:
  limits:
      cpu: 1
      memory: 200Mi
    requests:
      cpu: 1
      memory: 100Mi
...

Context: Assign Pod-level CPU and memory resources | Since pod-level requests and limits are specified, the request guarantees for both containers in the pod will be equal 1 core or CPU and 100Mi of memory. Additionally, both containers together won't b


Prompt:
Explain this text code:

...
containers:
  name: pod-resources-demo-ctr-1
  resources:
      requests:
        cpu: 500m
        memory: 50Mi
      limits:
        cpu: 500m
        memory: 100Mi
  ...
  name: pod-resources-demo-ctr-2
  resources: {}
resources:
  limits:
      cpu: 1
      memory: 200Mi
    requests:
      cpu: 1
      memory: 100Mi
...

Response: This text code Assign Pod-level CPU and memory resources | Since pod-level requests and limits are specified, the request guarantees for both containers in the pod will be equal 1 core or CPU and 100Mi of memory. Additionally, both containers together won't b


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: memory-demo
  namespace: pod-resources-example
spec:
  resources:
    requests:

Response:
      memory: "100Mi"
    limits:
      memory: "200Mi"
  containers:
  - name: memory-demo-ctr
    image: nginx
    command: ["stress"]
    args: ["--vm", "1", "--vm-bytes", "150M", "--vm-hang", "1"]


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: memory-demo
  namespace: pod-resources-example
spec:
  resources:
    requests:
      memory: "100Mi"
    limits:
      memory: "200Mi"
  containers:
  - name: memory-demo-ctr
    image: nginx
    command: ["stress"]
    args: ["--vm", "1", "--vm-bytes", "150M", "--vm-hang", "1"]

Response: This yaml code Assign Pod-level CPU and memory resources | The args section in the manifest provides arguments for the container when it starts. The "--vm-bytes", "150M" arguments tell the Container to attempt to allocate 150 MiB of memory.


Prompt:
Explain this shell code:

kubectl apply -f https://k8s.io/examples/pods/resource/pod-level-memory-request-limit.yaml --namespace=pod-resources-example

Response: This shell code Assign Pod-level CPU and memory resources | Verify that the Pod is running:


Prompt:
Explain this shell code:

kubectl get pod memory-demo --namespace=pod-resources-example

Response: This shell code Assign Pod-level CPU and memory resources | View detailed information about the Pod:


Prompt:
Explain this shell code:

kubectl get pod memory-demo --output=yaml --namespace=pod-resources-example

Response: This shell code Assign Pod-level CPU and memory resources | The output shows that the Pod has a memory request of 100 MiB and a memory limit of 200 MiB.


Prompt:
Complete this yaml code:

...
spec:
  containers:
  ...
  resources:

Response:
    requests:
      memory: 100Mi
    limits:
      memory: 200Mi
...


Prompt:
Explain this yaml code:

...
spec:
  containers:
  ...
  resources:
    requests:
      memory: 100Mi
    limits:
      memory: 200Mi
...

Response: This yaml code Assign Pod-level CPU and memory resources | Run kubectl top to fetch the metrics for the pod:


Prompt:
Explain this shell code:

kubectl top pod memory-demo --namespace=pod-resources-example

Response: This shell code Assign Pod-level CPU and memory resources | The output shows that the Pod is using about 162,900,000 bytes of memory, which is about 150 MiB. This is greater than the Pod's 100 MiB request, but within the Pod's 200 MiB limit.


Prompt:
Explain this text code:

NAME                        CPU(cores)   MEMORY(bytes)
memory-demo                 <something>  162856960

Response: This text code Assign Pod-level CPU and memory resources | To specify a CPU request for a Pod, include the resources.requests.cpu field in the Pod spec manifest. To specify a CPU limit, include resources.limits.cpu.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: cpu-demo
  namespace: pod-resources-example
spec:
  resources:
    limits:

Response:
      cpu: "1"
    requests:
      cpu: "0.5"
  containers:
  - name: cpu-demo-ctr
    image: vish/stress
    args:
    - -cpus
    - "2"


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: cpu-demo
  namespace: pod-resources-example
spec:
  resources:
    limits:
      cpu: "1"
    requests:
      cpu: "0.5"
  containers:
  - name: cpu-demo-ctr
    image: vish/stress
    args:
    - -cpus
    - "2"

Response: This yaml code Assign Pod-level CPU and memory resources | The args section of the configuration file provides arguments for the container when it starts. The -cpus "2" argument tells the Container to attempt to use 2 CPUs.


Prompt:
Explain this shell code:

kubectl apply -f https://k8s.io/examples/pods/resource/pod-level-cpu-request-limit.yaml --namespace=pod-resources-example

Response: This shell code Assign Pod-level CPU and memory resources | Verify that the Pod is running:


Prompt:
Explain this shell code:

kubectl get pod cpu-demo --namespace=pod-resources-example

Response: This shell code Assign Pod-level CPU and memory resources | View detailed information about the Pod:


Prompt:
Explain this shell code:

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

Response: This shell code Assign Pod-level CPU and memory resources | The output shows that the Pod has a CPU request of 500 milliCPU and a CPU limit of 1 CPU.


Prompt:
Complete this yaml code:

spec:
  containers:
  ...
  resources:

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


Prompt:
Explain this yaml code:

spec:
  containers:
  ...
  resources:
    limits:
      cpu: "1"
    requests:
      cpu: 500m

Response: This yaml code Assign Pod-level CPU and memory resources | Use kubectl top to fetch the metrics for the Pod:


Prompt:
Explain this shell code:

kubectl top pod cpu-demo --namespace=pod-resources-example

Response: This shell code Assign Pod-level CPU and memory resources | This example output shows that the Pod is using 974 milliCPU, which is slightly less than the limit of 1 CPU specified in the Pod configuration.


Prompt:
Explain this text code:

NAME                        CPU(cores)   MEMORY(bytes)
cpu-demo                    974m         <something>

Response: This text code Assign Pod-level CPU and memory resources | Recall that by setting -cpu "2", you configured the Container to attempt to use 2 CPUs, but the Container is only being allowed to use about 1 CPU. The container's CPU use is being throttled, because


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: pod-resources-demo
  namespace: pod-resources-example
spec:
  resources:
    limits:
      cpu: "1"
      memory: "200Mi"
    requests:
      cpu: "1"
      memory: "100Mi"
  containers:

Response:
  - name: pod-resources-demo-ctr-1
    image: nginx
    resources:
      limits:
        cpu: "0.5"
        memory: "100Mi"
      requests:
        cpu: "0.5"
        memory: "50Mi"
  - name: pod-resources-demo-ctr-2
    image: fedora
    command:
    - sleep
    - inf


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: pod-resources-demo
  namespace: pod-resources-example
spec:
  resources:
    limits:
      cpu: "1"
      memory: "200Mi"
    requests:
      cpu: "1"
      memory: "100Mi"
  containers:
  - name: pod-resources-demo-ctr-1
    image: nginx
    resources:
      limits:
        cpu: "0.5"
        memory: "100Mi"
      requests:
        cpu: "0.5"
        memory: "50Mi"
  - name: pod-resources-demo-ctr-2
    image: fedora
    command:
    - sleep
    - inf

Response: This yaml code Assign Pod-level CPU and memory resources | Create the Pod:


Prompt:
Explain this shell code:

kubectl apply -f https://k8s.io/examples/pods/resource/pod-level-resources.yaml --namespace=pod-resources-example

Response: This shell code Assign Pod-level CPU and memory resources | Verify that the Pod Container is running:


Prompt:
Explain this shell code:

kubectl get pod-resources-demo --namespace=pod-resources-example

Response: This shell code Assign Pod-level CPU and memory resources | View detailed information about the Pod:


Prompt:
Explain this shell code:

kubectl get pod memory-demo --output=yaml --namespace=pod-resources-example

Response: This shell code Assign Pod-level CPU and memory resources | The output shows that one container in the Pod has a memory request of 50 MiB and a CPU request of 0.5 cores, with a memory limit of 100 MiB and a CPU limit of 0.5 cores. The Pod itself has a memory r


Prompt:
Complete this yaml code:

...
containers:
  name: pod-resources-demo-ctr-1
  resources:
      requests:
        cpu: 500m
        memory: 50Mi
      limits:
        cpu: 500m
        memory: 100Mi

Response:
  ...
  name: pod-resources-demo-ctr-2
  resources: {}
resources:
  limits:
      cpu: 1
      memory: 200Mi
    requests:
      cpu: 1
      memory: 100Mi
...


Prompt:
Explain this yaml code:

...
containers:
  name: pod-resources-demo-ctr-1
  resources:
      requests:
        cpu: 500m
        memory: 50Mi
      limits:
        cpu: 500m
        memory: 100Mi
  ...
  name: pod-resources-demo-ctr-2
  resources: {}
resources:
  limits:
      cpu: 1
      memory: 200Mi
    requests:
      cpu: 1
      memory: 100Mi
...

Response: This yaml code Assign Pod-level CPU and memory resources | Since pod-level requests and limits are specified, the request guarantees for both containers in the pod will be equal 1 core or CPU and 100Mi of memory. Additionally, both containers together won't b


Prompt:
Complete this yaml code:

pods/resource/pod-level-memory-request-limit.yaml
apiVersion: v1
kind: Pod
metadata:
  name: memory-demo
  namespace: pod-resources-example
spec:
  resources:

Response:
    requests:
      memory: "100Mi"
    limits:
      memory: "200Mi"
  containers:
  - name: memory-demo-ctr
    image: nginx
    command: ["stress"]
    args: ["--vm", "1", "--vm-bytes", "150M", "--vm-hang", "1"]


Prompt:
Explain this yaml code:

pods/resource/pod-level-memory-request-limit.yaml
apiVersion: v1
kind: Pod
metadata:
  name: memory-demo
  namespace: pod-resources-example
spec:
  resources:
    requests:
      memory: "100Mi"
    limits:
      memory: "200Mi"
  containers:
  - name: memory-demo-ctr
    image: nginx
    command: ["stress"]
    args: ["--vm", "1", "--vm-bytes", "150M", "--vm-hang", "1"]

Response: This yaml code Assign Pod-level CPU and memory resources | The args section in the manifest provides arguments for the container when it starts. The "--vm-bytes", "150M" arguments tell the Container to attempt to allocate 150 MiB of memory.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: memory-demo
  namespace: pod-resources-example
spec:
  resources:
    requests:

Response:
      memory: "100Mi"
    limits:
      memory: "200Mi"
  containers:
  - name: memory-demo-ctr
    image: nginx
    command: ["stress"]
    args: ["--vm", "1", "--vm-bytes", "150M", "--vm-hang", "1"]


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: memory-demo
  namespace: pod-resources-example
spec:
  resources:
    requests:
      memory: "100Mi"
    limits:
      memory: "200Mi"
  containers:
  - name: memory-demo-ctr
    image: nginx
    command: ["stress"]
    args: ["--vm", "1", "--vm-bytes", "150M", "--vm-hang", "1"]

Response: This yaml code Assign Pod-level CPU and memory resources | The args section in the manifest provides arguments for the container when it starts. The "--vm-bytes", "150M" arguments tell the Container to attempt to allocate 150 MiB of memory.


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/pods/resource/pod-level-memory-request-limit.yaml --namespace=pod-resources-example

Response: This bash code Assign Pod-level CPU and memory resources | Verify that the Pod is running:


Prompt:
Explain this bash code:

kubectl get pod memory-demo --namespace=pod-resources-example

Response: This bash code Assign Pod-level CPU and memory resources | View detailed information about the Pod:


Prompt:
Explain this bash code:

kubectl get pod memory-demo --output=yaml --namespace=pod-resources-example

Response: This bash code Assign Pod-level CPU and memory resources | The output shows that the Pod has a memory request of 100 MiB and a memory limit of 200 MiB.


Prompt:
Complete this text code:

...
spec:
  containers:
  ...
  resources:

Response:
    requests:
      memory: 100Mi
    limits:
      memory: 200Mi
...


Prompt:
Explain this text code:

...
spec:
  containers:
  ...
  resources:
    requests:
      memory: 100Mi
    limits:
      memory: 200Mi
...

Response: This text code Assign Pod-level CPU and memory resources | Run kubectl top to fetch the metrics for the pod:


Prompt:
Explain this bash code:

kubectl top pod memory-demo --namespace=pod-resources-example

Response: This bash code Assign Pod-level CPU and memory resources | The output shows that the Pod is using about 162,900,000 bytes of memory, which is about 150 MiB. This is greater than the Pod's 100 MiB request, but within the Pod's 200 MiB limit.


Prompt:
Complete this yaml code:

pods/resource/pod-level-cpu-request-limit.yaml
apiVersion: v1
kind: Pod
metadata:
  name: cpu-demo
  namespace: pod-resources-example
spec:
  resources:
    limits:

Response:
      cpu: "1"
    requests:
      cpu: "0.5"
  containers:
  - name: cpu-demo-ctr
    image: vish/stress
    args:
    - -cpus
    - "2"


Prompt:
Explain this yaml code:

pods/resource/pod-level-cpu-request-limit.yaml
apiVersion: v1
kind: Pod
metadata:
  name: cpu-demo
  namespace: pod-resources-example
spec:
  resources:
    limits:
      cpu: "1"
    requests:
      cpu: "0.5"
  containers:
  - name: cpu-demo-ctr
    image: vish/stress
    args:
    - -cpus
    - "2"

Response: This yaml code Assign Pod-level CPU and memory resources | The args section of the configuration file provides arguments for the container when it starts. The -cpus "2" argument tells the Container to attempt to use 2 CPUs.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: cpu-demo
  namespace: pod-resources-example
spec:
  resources:
    limits:

Response:
      cpu: "1"
    requests:
      cpu: "0.5"
  containers:
  - name: cpu-demo-ctr
    image: vish/stress
    args:
    - -cpus
    - "2"


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: cpu-demo
  namespace: pod-resources-example
spec:
  resources:
    limits:
      cpu: "1"
    requests:
      cpu: "0.5"
  containers:
  - name: cpu-demo-ctr
    image: vish/stress
    args:
    - -cpus
    - "2"

Response: This yaml code Assign Pod-level CPU and memory resources | The args section of the configuration file provides arguments for the container when it starts. The -cpus "2" argument tells the Container to attempt to use 2 CPUs.


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/pods/resource/pod-level-cpu-request-limit.yaml --namespace=pod-resources-example

Response: This bash code Assign Pod-level CPU and memory resources | Verify that the Pod is running:


Prompt:
Explain this bash code:

kubectl get pod cpu-demo --namespace=pod-resources-example

Response: This bash code Assign Pod-level CPU and memory resources | View detailed information about the Pod:


Prompt:
Explain this bash code:

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

Response: This bash code Assign Pod-level CPU and memory resources | The output shows that the Pod has a CPU request of 500 milliCPU and a CPU limit of 1 CPU.


Prompt:
Complete this text code:

spec:
  containers:
  ...
  resources:

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


Prompt:
Explain this text code:

spec:
  containers:
  ...
  resources:
    limits:
      cpu: "1"
    requests:
      cpu: 500m

Response: This text code Assign Pod-level CPU and memory resources | Use kubectl top to fetch the metrics for the Pod:


Prompt:
Explain this bash code:

kubectl top pod cpu-demo --namespace=pod-resources-example

Response: This bash code Assign Pod-level CPU and memory resources | This example output shows that the Pod is using 974 milliCPU, which is slightly less than the limit of 1 CPU specified in the Pod configuration.


Prompt:
Complete this yaml code:

pods/resource/pod-level-resources.yaml
apiVersion: v1
kind: Pod
metadata:
  name: pod-resources-demo
  namespace: pod-resources-example
spec:
  resources:
    limits:
      cpu: "1"
      memory: "200Mi"
    requests:
      cpu: "1"
      memory: "100Mi"

Response:
  containers:
  - name: pod-resources-demo-ctr-1
    image: nginx
    resources:
      limits:
        cpu: "0.5"
        memory: "100Mi"
      requests:
        cpu: "0.5"
        memory: "50Mi"
  - name: pod-resources-demo-ctr-2
    image: fedora
    command:
    - sleep
    - inf


Prompt:
Explain this yaml code:

pods/resource/pod-level-resources.yaml
apiVersion: v1
kind: Pod
metadata:
  name: pod-resources-demo
  namespace: pod-resources-example
spec:
  resources:
    limits:
      cpu: "1"
      memory: "200Mi"
    requests:
      cpu: "1"
      memory: "100Mi"
  containers:
  - name: pod-resources-demo-ctr-1
    image: nginx
    resources:
      limits:
        cpu: "0.5"
        memory: "100Mi"
      requests:
        cpu: "0.5"
        memory: "50Mi"
  - name: pod-resources-demo-ctr-2
    image: fedora
    command:
    - sleep
    - inf

Response: This yaml code Assign Pod-level CPU and memory resources | Create the Pod:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: pod-resources-demo
  namespace: pod-resources-example
spec:
  resources:
    limits:
      cpu: "1"
      memory: "200Mi"
    requests:
      cpu: "1"
      memory: "100Mi"
  containers:

Response:
  - name: pod-resources-demo-ctr-1
    image: nginx
    resources:
      limits:
        cpu: "0.5"
        memory: "100Mi"
      requests:
        cpu: "0.5"
        memory: "50Mi"
  - name: pod-resources-demo-ctr-2
    image: fedora
    command:
    - sleep
    - inf


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: pod-resources-demo
  namespace: pod-resources-example
spec:
  resources:
    limits:
      cpu: "1"
      memory: "200Mi"
    requests:
      cpu: "1"
      memory: "100Mi"
  containers:
  - name: pod-resources-demo-ctr-1
    image: nginx
    resources:
      limits:
        cpu: "0.5"
        memory: "100Mi"
      requests:
        cpu: "0.5"
        memory: "50Mi"
  - name: pod-resources-demo-ctr-2
    image: fedora
    command:
    - sleep
    - inf

Response: This yaml code Assign Pod-level CPU and memory resources | Create the Pod:


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/pods/resource/pod-level-resources.yaml --namespace=pod-resources-example

Response: This bash code Assign Pod-level CPU and memory resources | Verify that the Pod Container is running:


Prompt:
Explain this bash code:

kubectl get pod-resources-demo --namespace=pod-resources-example

Response: This bash code Assign Pod-level CPU and memory resources | View detailed information about the Pod:


Prompt:
Explain this bash code:

kubectl get pod memory-demo --output=yaml --namespace=pod-resources-example

Response: This bash code Assign Pod-level CPU and memory resources | The output shows that one container in the Pod has a memory request of 50 MiB and a CPU request of 0.5 cores, with a memory limit of 100 MiB and a CPU limit of 0.5 cores. The Pod itself has a memory r


Prompt:
Complete this text code:

...
containers:
  name: pod-resources-demo-ctr-1
  resources:
      requests:
        cpu: 500m
        memory: 50Mi
      limits:
        cpu: 500m
        memory: 100Mi

Response:
  ...
  name: pod-resources-demo-ctr-2
  resources: {}
resources:
  limits:
      cpu: 1
      memory: 200Mi
    requests:
      cpu: 1
      memory: 100Mi
...


Prompt:
Explain this text code:

...
containers:
  name: pod-resources-demo-ctr-1
  resources:
      requests:
        cpu: 500m
        memory: 50Mi
      limits:
        cpu: 500m
        memory: 100Mi
  ...
  name: pod-resources-demo-ctr-2
  resources: {}
resources:
  limits:
      cpu: 1
      memory: 200Mi
    requests:
      cpu: 1
      memory: 100Mi
...

Response: This text code Assign Pod-level CPU and memory resources | Since pod-level requests and limits are specified, the request guarantees for both containers in the pod will be equal 1 core or CPU and 100Mi of memory. Additionally, both containers together won't b


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: image-volume
spec:
  containers:
  - name: shell
    command: ["sleep", "infinity"]

Response:
    image: debian
    volumeMounts:
    - name: volume
      mountPath: /volume
  volumes:
  - name: volume
    image:
      reference: quay.io/crio/artifact:v2
      pullPolicy: IfNotPresent

Context: Use an Image Volume With a Pod | Create the pod on your cluster:


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: image-volume
spec:
  containers:
  - name: shell
    command: ["sleep", "infinity"]
    image: debian
    volumeMounts:
    - name: volume
      mountPath: /volume
  volumes:
  - name: volume
    image:
      reference: quay.io/crio/artifact:v2
      pullPolicy: IfNotPresent

Response: This yaml code Use an Image Volume With a Pod | Create the pod on your cluster:


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/pods/image-volumes.yaml

Response: This bash code Use an Image Volume With a Pod | Attach to the container:

Context: Use an Image Volume With a Pod | Attach to the container:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: image-volume
spec:
  containers:
  - name: shell
    command: ["sleep", "infinity"]
    image: debian

Response:
    volumeMounts:
    - name: volume
      mountPath: /volume
      subPath: dir
  volumes:
  - name: volume
    image:
      reference: quay.io/crio/artifact:v2
      pullPolicy: IfNotPresent


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: image-volume
spec:
  containers:
  - name: shell
    command: ["sleep", "infinity"]
    image: debian
    volumeMounts:
    - name: volume
      mountPath: /volume
      subPath: dir
  volumes:
  - name: volume
    image:
      reference: quay.io/crio/artifact:v2
      pullPolicy: IfNotPresent

Response: This yaml code Use an Image Volume With a Pod | Create the pod on your cluster:


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/pods/image-volumes-subpath.yaml

Response: This bash code Use an Image Volume With a Pod | Attach to the container:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: image-volume
spec:
  containers:
  - name: shell
    command: ["sleep", "infinity"]

Response:
    image: debian
    volumeMounts:
    - name: volume
      mountPath: /volume
  volumes:
  - name: volume
    image:
      reference: quay.io/crio/artifact:v2
      pullPolicy: IfNotPresent


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: image-volume
spec:
  containers:
  - name: shell
    command: ["sleep", "infinity"]
    image: debian
    volumeMounts:
    - name: volume
      mountPath: /volume
  volumes:
  - name: volume
    image:
      reference: quay.io/crio/artifact:v2
      pullPolicy: IfNotPresent

Response: This yaml code Use an Image Volume With a Pod | Create the pod on your cluster:


Prompt:
Explain this shell code:

kubectl apply -f https://k8s.io/examples/pods/image-volumes.yaml

Response: This shell code Use an Image Volume With a Pod | Attach to the container:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: image-volume
spec:
  containers:
  - name: shell
    command: ["sleep", "infinity"]
    image: debian

Response:
    volumeMounts:
    - name: volume
      mountPath: /volume
      subPath: dir
  volumes:
  - name: volume
    image:
      reference: quay.io/crio/artifact:v2
      pullPolicy: IfNotPresent


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: image-volume
spec:
  containers:
  - name: shell
    command: ["sleep", "infinity"]
    image: debian
    volumeMounts:
    - name: volume
      mountPath: /volume
      subPath: dir
  volumes:
  - name: volume
    image:
      reference: quay.io/crio/artifact:v2
      pullPolicy: IfNotPresent

Response: This yaml code Use an Image Volume With a Pod | Create the pod on your cluster:


Prompt:
Explain this shell code:

kubectl apply -f https://k8s.io/examples/pods/image-volumes-subpath.yaml

Response: This shell code Use an Image Volume With a Pod | Attach to the container:


Prompt:
Complete this yaml code:

pods/image-volumes.yaml
apiVersion: v1
kind: Pod
metadata:
  name: image-volume
spec:
  containers:
  - name: shell
    command: ["sleep", "infinity"]

Response:
    image: debian
    volumeMounts:
    - name: volume
      mountPath: /volume
  volumes:
  - name: volume
    image:
      reference: quay.io/crio/artifact:v2
      pullPolicy: IfNotPresent


Prompt:
Explain this yaml code:

pods/image-volumes.yaml
apiVersion: v1
kind: Pod
metadata:
  name: image-volume
spec:
  containers:
  - name: shell
    command: ["sleep", "infinity"]
    image: debian
    volumeMounts:
    - name: volume
      mountPath: /volume
  volumes:
  - name: volume
    image:
      reference: quay.io/crio/artifact:v2
      pullPolicy: IfNotPresent

Response: This yaml code Use an Image Volume With a Pod | Create the pod on your cluster:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: image-volume
spec:
  containers:
  - name: shell
    command: ["sleep", "infinity"]

Response:
    image: debian
    volumeMounts:
    - name: volume
      mountPath: /volume
  volumes:
  - name: volume
    image:
      reference: quay.io/crio/artifact:v2
      pullPolicy: IfNotPresent


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: image-volume
spec:
  containers:
  - name: shell
    command: ["sleep", "infinity"]
    image: debian
    volumeMounts:
    - name: volume
      mountPath: /volume
  volumes:
  - name: volume
    image:
      reference: quay.io/crio/artifact:v2
      pullPolicy: IfNotPresent

Response: This yaml code Use an Image Volume With a Pod | Create the pod on your cluster:


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/pods/image-volumes.yaml

Response: This bash code Use an Image Volume With a Pod | Attach to the container:


Prompt:
Complete this yaml code:

pods/image-volumes-subpath.yaml
apiVersion: v1
kind: Pod
metadata:
  name: image-volume
spec:
  containers:
  - name: shell
    command: ["sleep", "infinity"]

Response:
    image: debian
    volumeMounts:
    - name: volume
      mountPath: /volume
      subPath: dir
  volumes:
  - name: volume
    image:
      reference: quay.io/crio/artifact:v2
      pullPolicy: IfNotPresent


Prompt:
Explain this yaml code:

pods/image-volumes-subpath.yaml
apiVersion: v1
kind: Pod
metadata:
  name: image-volume
spec:
  containers:
  - name: shell
    command: ["sleep", "infinity"]
    image: debian
    volumeMounts:
    - name: volume
      mountPath: /volume
      subPath: dir
  volumes:
  - name: volume
    image:
      reference: quay.io/crio/artifact:v2
      pullPolicy: IfNotPresent

Response: This yaml code Use an Image Volume With a Pod | Create the pod on your cluster:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: image-volume
spec:
  containers:
  - name: shell
    command: ["sleep", "infinity"]
    image: debian

Response:
    volumeMounts:
    - name: volume
      mountPath: /volume
      subPath: dir
  volumes:
  - name: volume
    image:
      reference: quay.io/crio/artifact:v2
      pullPolicy: IfNotPresent


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: image-volume
spec:
  containers:
  - name: shell
    command: ["sleep", "infinity"]
    image: debian
    volumeMounts:
    - name: volume
      mountPath: /volume
      subPath: dir
  volumes:
  - name: volume
    image:
      reference: quay.io/crio/artifact:v2
      pullPolicy: IfNotPresent

Response: This yaml code Use an Image Volume With a Pod | Create the pod on your cluster:


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/pods/image-volumes-subpath.yaml

Response: This bash code Use an Image Volume With a Pod | Attach to the container:


Prompt:
Complete this yaml code:

# This is an excerpt
apiVersion: apps/v1
kind: StatefulSet
metadata:
  labels:

Response:
    app.kubernetes.io/name: mysql
    app.kubernetes.io/instance: mysql-abcxyz
    app.kubernetes.io/version: "5.7.21"
    app.kubernetes.io/component: database
    app.kubernetes.io/part-of: wordpress
    app.kubernetes.io/managed-by: Helm

Context: Recommended Labels | An application can be installed one or more times into a Kubernetes cluster and, in some cases, the same namespace. For example, WordPress can be installed more than once where different websites are


Prompt:
Explain this yaml code:

# This is an excerpt
apiVersion: apps/v1
kind: StatefulSet
metadata:
  labels:
    app.kubernetes.io/name: mysql
    app.kubernetes.io/instance: mysql-abcxyz
    app.kubernetes.io/version: "5.7.21"
    app.kubernetes.io/component: database
    app.kubernetes.io/part-of: wordpress
    app.kubernetes.io/managed-by: Helm

Response: This yaml code Recommended Labels | An application can be installed one or more times into a Kubernetes cluster and, in some cases, the same namespace. For example, WordPress can be installed more than once where different websites are


Prompt:
Complete this yaml code:

apiVersion: apps/v1
kind: Deployment
metadata:

Response:
  labels:
    app.kubernetes.io/name: myservice
    app.kubernetes.io/instance: myservice-abcxyz
...

Context: Recommended Labels | The Service is used to expose the application.


Prompt:
Explain this yaml code:

apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app.kubernetes.io/name: myservice
    app.kubernetes.io/instance: myservice-abcxyz
...

Response: This yaml code Recommended Labels | The Service is used to expose the application.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Service
metadata:

Response:
  labels:
    app.kubernetes.io/name: myservice
    app.kubernetes.io/instance: myservice-abcxyz
...

Context: Recommended Labels | Consider a slightly more complicated application: a web application (WordPress) using a database (MySQL), installed using Helm. The following snippets illustrate the start of objects used to deploy th


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Service
metadata:
  labels:
    app.kubernetes.io/name: myservice
    app.kubernetes.io/instance: myservice-abcxyz
...

Response: This yaml code Recommended Labels | Consider a slightly more complicated application: a web application (WordPress) using a database (MySQL), installed using Helm. The following snippets illustrate the start of objects used to deploy th


Prompt:
Complete this yaml code:

apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app.kubernetes.io/name: wordpress

Response:
    app.kubernetes.io/instance: wordpress-abcxyz
    app.kubernetes.io/version: "4.9.4"
    app.kubernetes.io/managed-by: Helm
    app.kubernetes.io/component: server
    app.kubernetes.io/part-of: wordpress
...

Context: Recommended Labels | The Service is used to expose WordPress:


Prompt:
Explain this yaml code:

apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app.kubernetes.io/name: wordpress
    app.kubernetes.io/instance: wordpress-abcxyz
    app.kubernetes.io/version: "4.9.4"
    app.kubernetes.io/managed-by: Helm
    app.kubernetes.io/component: server
    app.kubernetes.io/part-of: wordpress
...

Response: This yaml code Recommended Labels | The Service is used to expose WordPress:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Service
metadata:
  labels:
    app.kubernetes.io/name: wordpress

Response:
    app.kubernetes.io/instance: wordpress-abcxyz
    app.kubernetes.io/version: "4.9.4"
    app.kubernetes.io/managed-by: Helm
    app.kubernetes.io/component: server
    app.kubernetes.io/part-of: wordpress
...

Context: Recommended Labels | MySQL is exposed as a StatefulSet with metadata for both it and the larger application it belongs to:


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Service
metadata:
  labels:
    app.kubernetes.io/name: wordpress
    app.kubernetes.io/instance: wordpress-abcxyz
    app.kubernetes.io/version: "4.9.4"
    app.kubernetes.io/managed-by: Helm
    app.kubernetes.io/component: server
    app.kubernetes.io/part-of: wordpress
...

Response: This yaml code Recommended Labels | MySQL is exposed as a StatefulSet with metadata for both it and the larger application it belongs to:


Prompt:
Complete this yaml code:

apiVersion: apps/v1
kind: StatefulSet
metadata:
  labels:
    app.kubernetes.io/name: mysql

Response:
    app.kubernetes.io/instance: mysql-abcxyz
    app.kubernetes.io/version: "5.7.21"
    app.kubernetes.io/managed-by: Helm
    app.kubernetes.io/component: database
    app.kubernetes.io/part-of: wordpress
...

Context: Recommended Labels | The Service is used to expose MySQL as part of WordPress:


Prompt:
Explain this yaml code:

apiVersion: apps/v1
kind: StatefulSet
metadata:
  labels:
    app.kubernetes.io/name: mysql
    app.kubernetes.io/instance: mysql-abcxyz
    app.kubernetes.io/version: "5.7.21"
    app.kubernetes.io/managed-by: Helm
    app.kubernetes.io/component: database
    app.kubernetes.io/part-of: wordpress
...

Response: This yaml code Recommended Labels | The Service is used to expose MySQL as part of WordPress:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Service
metadata:
  labels:
    app.kubernetes.io/name: mysql

Response:
    app.kubernetes.io/instance: mysql-abcxyz
    app.kubernetes.io/version: "5.7.21"
    app.kubernetes.io/managed-by: Helm
    app.kubernetes.io/component: database
    app.kubernetes.io/part-of: wordpress
...

Context: Recommended Labels | With the MySQL StatefulSet and Service you'll notice information about both MySQL and WordPress, the broader application, are included.


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Service
metadata:
  labels:
    app.kubernetes.io/name: mysql
    app.kubernetes.io/instance: mysql-abcxyz
    app.kubernetes.io/version: "5.7.21"
    app.kubernetes.io/managed-by: Helm
    app.kubernetes.io/component: database
    app.kubernetes.io/part-of: wordpress
...

Response: This yaml code Recommended Labels | With the MySQL StatefulSet and Service you'll notice information about both MySQL and WordPress, the broader application, are included.


Prompt:
Complete this yaml code:

# This is an excerpt
apiVersion: apps/v1
kind: StatefulSet
metadata:
  labels:

Response:
    app.kubernetes.io/name: mysql
    app.kubernetes.io/instance: mysql-abcxyz
    app.kubernetes.io/version: "5.7.21"
    app.kubernetes.io/component: database
    app.kubernetes.io/part-of: wordpress
    app.kubernetes.io/managed-by: Helm


Prompt:
Explain this yaml code:

# This is an excerpt
apiVersion: apps/v1
kind: StatefulSet
metadata:
  labels:
    app.kubernetes.io/name: mysql
    app.kubernetes.io/instance: mysql-abcxyz
    app.kubernetes.io/version: "5.7.21"
    app.kubernetes.io/component: database
    app.kubernetes.io/part-of: wordpress
    app.kubernetes.io/managed-by: Helm

Response: This yaml code Recommended Labels | An application can be installed one or more times into a Kubernetes cluster and, in some cases, the same namespace. For example, WordPress can be installed more than once where different websites are


Prompt:
Complete this yaml code:

apiVersion: apps/v1
kind: Deployment
metadata:

Response:
  labels:
    app.kubernetes.io/name: myservice
    app.kubernetes.io/instance: myservice-abcxyz
...


Prompt:
Explain this yaml code:

apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app.kubernetes.io/name: myservice
    app.kubernetes.io/instance: myservice-abcxyz
...

Response: This yaml code Recommended Labels | The Service is used to expose the application.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Service
metadata:

Response:
  labels:
    app.kubernetes.io/name: myservice
    app.kubernetes.io/instance: myservice-abcxyz
...


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Service
metadata:
  labels:
    app.kubernetes.io/name: myservice
    app.kubernetes.io/instance: myservice-abcxyz
...

Response: This yaml code Recommended Labels | Consider a slightly more complicated application: a web application (WordPress) using a database (MySQL), installed using Helm. The following snippets illustrate the start of objects used to deploy th


Prompt:
Complete this yaml code:

apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app.kubernetes.io/name: wordpress

Response:
    app.kubernetes.io/instance: wordpress-abcxyz
    app.kubernetes.io/version: "4.9.4"
    app.kubernetes.io/managed-by: Helm
    app.kubernetes.io/component: server
    app.kubernetes.io/part-of: wordpress
...


Prompt:
Explain this yaml code:

apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app.kubernetes.io/name: wordpress
    app.kubernetes.io/instance: wordpress-abcxyz
    app.kubernetes.io/version: "4.9.4"
    app.kubernetes.io/managed-by: Helm
    app.kubernetes.io/component: server
    app.kubernetes.io/part-of: wordpress
...

Response: This yaml code Recommended Labels | The Service is used to expose WordPress:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Service
metadata:
  labels:
    app.kubernetes.io/name: wordpress

Response:
    app.kubernetes.io/instance: wordpress-abcxyz
    app.kubernetes.io/version: "4.9.4"
    app.kubernetes.io/managed-by: Helm
    app.kubernetes.io/component: server
    app.kubernetes.io/part-of: wordpress
...


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Service
metadata:
  labels:
    app.kubernetes.io/name: wordpress
    app.kubernetes.io/instance: wordpress-abcxyz
    app.kubernetes.io/version: "4.9.4"
    app.kubernetes.io/managed-by: Helm
    app.kubernetes.io/component: server
    app.kubernetes.io/part-of: wordpress
...

Response: This yaml code Recommended Labels | MySQL is exposed as a StatefulSet with metadata for both it and the larger application it belongs to:


Prompt:
Complete this yaml code:

apiVersion: apps/v1
kind: StatefulSet
metadata:
  labels:
    app.kubernetes.io/name: mysql

Response:
    app.kubernetes.io/instance: mysql-abcxyz
    app.kubernetes.io/version: "5.7.21"
    app.kubernetes.io/managed-by: Helm
    app.kubernetes.io/component: database
    app.kubernetes.io/part-of: wordpress
...


Prompt:
Explain this yaml code:

apiVersion: apps/v1
kind: StatefulSet
metadata:
  labels:
    app.kubernetes.io/name: mysql
    app.kubernetes.io/instance: mysql-abcxyz
    app.kubernetes.io/version: "5.7.21"
    app.kubernetes.io/managed-by: Helm
    app.kubernetes.io/component: database
    app.kubernetes.io/part-of: wordpress
...

Response: This yaml code Recommended Labels | The Service is used to expose MySQL as part of WordPress:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Service
metadata:
  labels:
    app.kubernetes.io/name: mysql

Response:
    app.kubernetes.io/instance: mysql-abcxyz
    app.kubernetes.io/version: "5.7.21"
    app.kubernetes.io/managed-by: Helm
    app.kubernetes.io/component: database
    app.kubernetes.io/part-of: wordpress
...


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Service
metadata:
  labels:
    app.kubernetes.io/name: mysql
    app.kubernetes.io/instance: mysql-abcxyz
    app.kubernetes.io/version: "5.7.21"
    app.kubernetes.io/managed-by: Helm
    app.kubernetes.io/component: database
    app.kubernetes.io/part-of: wordpress
...

Response: This yaml code Recommended Labels | With the MySQL StatefulSet and Service you'll notice information about both MySQL and WordPress, the broader application, are included.


Prompt:
Complete this yaml code:

# This is an excerpt
apiVersion: apps/v1
kind: StatefulSet
metadata:
  labels:

Response:
    app.kubernetes.io/name: mysql
    app.kubernetes.io/instance: mysql-abcxyz
    app.kubernetes.io/version: "5.7.21"
    app.kubernetes.io/component: database
    app.kubernetes.io/part-of: wordpress
    app.kubernetes.io/managed-by: Helm


Prompt:
Explain this yaml code:

# This is an excerpt
apiVersion: apps/v1
kind: StatefulSet
metadata:
  labels:
    app.kubernetes.io/name: mysql
    app.kubernetes.io/instance: mysql-abcxyz
    app.kubernetes.io/version: "5.7.21"
    app.kubernetes.io/component: database
    app.kubernetes.io/part-of: wordpress
    app.kubernetes.io/managed-by: Helm

Response: This yaml code Recommended Labels | An application can be installed one or more times into a Kubernetes cluster and, in some cases, the same namespace. For example, WordPress can be installed more than once where different websites are


Prompt:
Complete this yaml code:

apiVersion: apps/v1
kind: Deployment
metadata:

Response:
  labels:
    app.kubernetes.io/name: myservice
    app.kubernetes.io/instance: myservice-abcxyz
...


Prompt:
Explain this yaml code:

apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app.kubernetes.io/name: myservice
    app.kubernetes.io/instance: myservice-abcxyz
...

Response: This yaml code Recommended Labels | The Service is used to expose the application.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Service
metadata:

Response:
  labels:
    app.kubernetes.io/name: myservice
    app.kubernetes.io/instance: myservice-abcxyz
...


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Service
metadata:
  labels:
    app.kubernetes.io/name: myservice
    app.kubernetes.io/instance: myservice-abcxyz
...

Response: This yaml code Recommended Labels | Consider a slightly more complicated application: a web application (WordPress) using a database (MySQL), installed using Helm. The following snippets illustrate the start of objects used to deploy th


Prompt:
Complete this yaml code:

apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app.kubernetes.io/name: wordpress

Response:
    app.kubernetes.io/instance: wordpress-abcxyz
    app.kubernetes.io/version: "4.9.4"
    app.kubernetes.io/managed-by: Helm
    app.kubernetes.io/component: server
    app.kubernetes.io/part-of: wordpress
...


Prompt:
Explain this yaml code:

apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app.kubernetes.io/name: wordpress
    app.kubernetes.io/instance: wordpress-abcxyz
    app.kubernetes.io/version: "4.9.4"
    app.kubernetes.io/managed-by: Helm
    app.kubernetes.io/component: server
    app.kubernetes.io/part-of: wordpress
...

Response: This yaml code Recommended Labels | The Service is used to expose WordPress:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Service
metadata:
  labels:
    app.kubernetes.io/name: wordpress

Response:
    app.kubernetes.io/instance: wordpress-abcxyz
    app.kubernetes.io/version: "4.9.4"
    app.kubernetes.io/managed-by: Helm
    app.kubernetes.io/component: server
    app.kubernetes.io/part-of: wordpress
...


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Service
metadata:
  labels:
    app.kubernetes.io/name: wordpress
    app.kubernetes.io/instance: wordpress-abcxyz
    app.kubernetes.io/version: "4.9.4"
    app.kubernetes.io/managed-by: Helm
    app.kubernetes.io/component: server
    app.kubernetes.io/part-of: wordpress
...

Response: This yaml code Recommended Labels | MySQL is exposed as a StatefulSet with metadata for both it and the larger application it belongs to:


Prompt:
Complete this yaml code:

apiVersion: apps/v1
kind: StatefulSet
metadata:
  labels:
    app.kubernetes.io/name: mysql

Response:
    app.kubernetes.io/instance: mysql-abcxyz
    app.kubernetes.io/version: "5.7.21"
    app.kubernetes.io/managed-by: Helm
    app.kubernetes.io/component: database
    app.kubernetes.io/part-of: wordpress
...


Prompt:
Explain this yaml code:

apiVersion: apps/v1
kind: StatefulSet
metadata:
  labels:
    app.kubernetes.io/name: mysql
    app.kubernetes.io/instance: mysql-abcxyz
    app.kubernetes.io/version: "5.7.21"
    app.kubernetes.io/managed-by: Helm
    app.kubernetes.io/component: database
    app.kubernetes.io/part-of: wordpress
...

Response: This yaml code Recommended Labels | The Service is used to expose MySQL as part of WordPress:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Service
metadata:
  labels:
    app.kubernetes.io/name: mysql

Response:
    app.kubernetes.io/instance: mysql-abcxyz
    app.kubernetes.io/version: "5.7.21"
    app.kubernetes.io/managed-by: Helm
    app.kubernetes.io/component: database
    app.kubernetes.io/part-of: wordpress
...


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Service
metadata:
  labels:
    app.kubernetes.io/name: mysql
    app.kubernetes.io/instance: mysql-abcxyz
    app.kubernetes.io/version: "5.7.21"
    app.kubernetes.io/managed-by: Helm
    app.kubernetes.io/component: database
    app.kubernetes.io/part-of: wordpress
...

Response: This yaml code Recommended Labels | With the MySQL StatefulSet and Service you'll notice information about both MySQL and WordPress, the broader application, are included.


Prompt:
Complete this text code:

...
  containers:
  - name: fluentd-cloud-logging
    image: fluent/fluentd-kubernetes-daemonset:v1

Response:
    resources:
      limits:
        cpu: 100m
        memory: 200Mi

Context: Considerations for large clusters | Addons' default limits are typically based on data collected from experience running each addon on small or medium Kubernetes clusters. When running on large clusters, addons often consume more of som


Prompt:
Explain this text code:

...
  containers:
  - name: fluentd-cloud-logging
    image: fluent/fluentd-kubernetes-daemonset:v1
    resources:
      limits:
        cpu: 100m
        memory: 200Mi

Response: This text code Considerations for large clusters | Addons' default limits are typically based on data collected from experience running each addon on small or medium Kubernetes clusters. When running on large clusters, addons often consume more of som


Prompt:
Complete this yaml code:

...
  containers:
  - name: fluentd-cloud-logging
    image: fluent/fluentd-kubernetes-daemonset:v1

Response:
    resources:
      limits:
        cpu: 100m
        memory: 200Mi


Prompt:
Explain this yaml code:

...
  containers:
  - name: fluentd-cloud-logging
    image: fluent/fluentd-kubernetes-daemonset:v1
    resources:
      limits:
        cpu: 100m
        memory: 200Mi

Response: This yaml code Considerations for large clusters | Addons' default limits are typically based on data collected from experience running each addon on small or medium Kubernetes clusters. When running on large clusters, addons often consume more of som


Prompt:
Complete this text code:

...
  containers:
  - name: fluentd-cloud-logging
    image: fluent/fluentd-kubernetes-daemonset:v1

Response:
    resources:
      limits:
        cpu: 100m
        memory: 200Mi


Prompt:
Explain this text code:

...
  containers:
  - name: fluentd-cloud-logging
    image: fluent/fluentd-kubernetes-daemonset:v1
    resources:
      limits:
        cpu: 100m
        memory: 200Mi

Response: This text code Considerations for large clusters | Addons' default limits are typically based on data collected from experience running each addon on small or medium Kubernetes clusters. When running on large clusters, addons often consume more of som


Prompt:
Complete this text code:

# The format is
#   name:firstID:count of IDs
# where
# - firstID is 65536 (the minimum value possible)

Response:
# - count of IDs is 110 * 65536
#   (110 is the default limit for number of pods on the node)

kubelet:65536:7208960

Context: User Namespaces | Starting with Kubernetes v1.33, the ID count for each of Pods can be set in KubeletConfiguration.


Prompt:
Explain this text code:

# The format is
#   name:firstID:count of IDs
# where
# - firstID is 65536 (the minimum value possible)
# - count of IDs is 110 * 65536
#   (110 is the default limit for number of pods on the node)

kubelet:65536:7208960

Response: This text code User Namespaces | Starting with Kubernetes v1.33, the ID count for each of Pods can be set in KubeletConfiguration.


Prompt:
Complete this yaml code:

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

Response:
userNamespaces:
  idsPerPod: 1048576

Context: User Namespaces | The value of idsPerPod (uint32) must be a multiple of 65536. The default value is 65536. This value only applies to containers created after the kubelet was started with this KubeletConfiguration. Run


Prompt:
Explain this yaml code:

apiVersion: kubelet.config.k8s.io/v1beta1
kind: KubeletConfiguration
userNamespaces:
  idsPerPod: 1048576

Response: This yaml code User Namespaces | The value of idsPerPod (uint32) must be a multiple of 65536. The default value is 65536. This value only applies to containers created after the kubelet was started with this KubeletConfiguration. Run


Prompt:
Complete this text code:

# The format is
#   name:firstID:count of IDs
# where
# - firstID is 65536 (the minimum value possible)

Response:
# - count of IDs is 110 * 65536
#   (110 is the default limit for number of pods on the node)

kubelet:65536:7208960


Prompt:
Explain this text code:

# The format is
#   name:firstID:count of IDs
# where
# - firstID is 65536 (the minimum value possible)
# - count of IDs is 110 * 65536
#   (110 is the default limit for number of pods on the node)

kubelet:65536:7208960

Response: This text code User Namespaces | Starting with Kubernetes v1.33, the ID count for each of Pods can be set in KubeletConfiguration.


Prompt:
Complete this yaml code:

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

Response:
userNamespaces:
  idsPerPod: 1048576


Prompt:
Explain this yaml code:

apiVersion: kubelet.config.k8s.io/v1beta1
kind: KubeletConfiguration
userNamespaces:
  idsPerPod: 1048576

Response: This yaml code User Namespaces | The value of idsPerPod (uint32) must be a multiple of 65536. The default value is 65536. This value only applies to containers created after the kubelet was started with this KubeletConfiguration. Run


Prompt:
Explain this text code:

spec.initContainers[*].securityContext.runAsNonRoot

Response: This text code User Namespaces | When using a user namespace for the pod, it is disallowed to use other host namespaces. In particular, if you set hostUsers: false then you are not allowed to set any of:

Context: User Namespaces | When using a user namespace for the pod, it is disallowed to use other host namespaces. In particular, if you set hostUsers: false then you are not allowed to set any of:


Prompt:
Explain this text code:

spec.ephemeralContainers[*].securityContext.runAsNonRoot

Response: This text code User Namespaces | When using a user namespace for the pod, it is disallowed to use other host namespaces. In particular, if you set hostUsers: false then you are not allowed to set any of:


Prompt:
Explain this text code:

spec.ephemeralContainers[*].securityContext.runAsUser

Response: This text code User Namespaces | When using a user namespace for the pod, it is disallowed to use other host namespaces. In particular, if you set hostUsers: false then you are not allowed to set any of:


Prompt:
Complete this yaml code:

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

Response:
userNamespaces:
  idsPerPod: 1048576


Prompt:
Explain this yaml code:

apiVersion: kubelet.config.k8s.io/v1beta1
kind: KubeletConfiguration
userNamespaces:
  idsPerPod: 1048576

Response: This yaml code User Namespaces | The value of idsPerPod (uint32) must be a multiple of 65536. The default value is 65536. This value only applies to containers created after the kubelet was started with this KubeletConfiguration. Run


Prompt:
Explain this text code:

incompatible CNI versions; config is \"1.0.0\", plugin supports [\"0.1.0\" \"0.2.0\" \"0.3.0\" \"0.3.1\" \"0.4.0\"]"

Response: This text code Troubleshooting CNI plugin-related errors | To fix this issue, update your CNI plugins and CNI config files.

Context: Troubleshooting CNI plugin-related errors | To fix this issue, update your CNI plugins and CNI config files.


Prompt:
Explain this text code:

ERROR[2022-04-26T00:43:24.518165483Z] StopPodSandbox for "b" failed
error="failed to destroy network for sandbox \"bbc85f891eaf060c5a879e27bba9b6b06450210161dfdecfbb2732959fb6500a\": invalid version \"\": the version is empty"

Response: This text code Troubleshooting CNI plugin-related errors | This error leaves the pod in the not-ready state with a network namespace still attached. To recover from this problem, edit the CNI config file to add the missing version information. The next attemp

Context: Troubleshooting CNI plugin-related errors | This error leaves the pod in the not-ready state with a network namespace still attached. To recover from this problem, edit the CNI config file to add the missing version information. The next attemp


Prompt:
Complete this text code:

cat << EOF | tee /etc/cni/net.d/10-containerd-net.conflist
{
 "cniVersion": "1.0.0",
 "name": "containerd-net",
 "plugins": [
   {
     "type": "bridge",
     "bridge": "cni0",
     "isGateway": true,
     "ipMasq": true,
     "promiscMode": true,
     "ipam": {
       "type": "host-local",
       "ranges": [
         [{
           "subnet": "10.88.0.0/16"
         }],

Response:
         [{
           "subnet": "2001:db8:4860::/64"
         }]
       ],
       "routes": [
         { "dst": "0.0.0.0/0" },
         { "dst": "::/0" }
       ]
     }
   },
   {
     "type": "portmap",
     "capabilities": {"portMappings": true},
     "externalSetMarkChain": "KUBE-MARK-MASQ"
   }
 ]
}
EOF

Context: Troubleshooting CNI plugin-related errors | Update the IP address ranges in the preceding example with ones that are based on your use case and network addressing plan.


Prompt:
Explain this text code:

cat << EOF | tee /etc/cni/net.d/10-containerd-net.conflist
{
 "cniVersion": "1.0.0",
 "name": "containerd-net",
 "plugins": [
   {
     "type": "bridge",
     "bridge": "cni0",
     "isGateway": true,
     "ipMasq": true,
     "promiscMode": true,
     "ipam": {
       "type": "host-local",
       "ranges": [
         [{
           "subnet": "10.88.0.0/16"
         }],
         [{
           "subnet": "2001:db8:4860::/64"
         }]
       ],
       "routes": [
         { "dst": "0.0.0.0/0" },
         { "dst": "::/0" }
       ]
     }
   },
   {
     "type": "portmap",
     "capabilities": {"portMappings": true},
     "externalSetMarkChain": "KUBE-MARK-MASQ"
   }
 ]
}
EOF

Response: This text code Troubleshooting CNI plugin-related errors | Update the IP address ranges in the preceding example with ones that are based on your use case and network addressing plan.


Prompt:
Explain this text code:

incompatible CNI versions; config is \"1.0.0\", plugin supports [\"0.1.0\" \"0.2.0\" \"0.3.0\" \"0.3.1\" \"0.4.0\"]"

Response: This text code Troubleshooting CNI plugin-related errors | To fix this issue, update your CNI plugins and CNI config files.


Prompt:
Explain this text code:

ERROR[2022-04-26T00:43:24.518165483Z] StopPodSandbox for "b" failed
error="failed to destroy network for sandbox \"bbc85f891eaf060c5a879e27bba9b6b06450210161dfdecfbb2732959fb6500a\": invalid version \"\": the version is empty"

Response: This text code Troubleshooting CNI plugin-related errors | This error leaves the pod in the not-ready state with a network namespace still attached. To recover from this problem, edit the CNI config file to add the missing version information. The next attemp


Prompt:
Complete this bash code:

cat << EOF | tee /etc/cni/net.d/10-containerd-net.conflist
{
 "cniVersion": "1.0.0",
 "name": "containerd-net",
 "plugins": [
   {
     "type": "bridge",
     "bridge": "cni0",
     "isGateway": true,
     "ipMasq": true,
     "promiscMode": true,
     "ipam": {
       "type": "host-local",
       "ranges": [
         [{
           "subnet": "10.88.0.0/16"
         }],

Response:
         [{
           "subnet": "2001:db8:4860::/64"
         }]
       ],
       "routes": [
         { "dst": "0.0.0.0/0" },
         { "dst": "::/0" }
       ]
     }
   },
   {
     "type": "portmap",
     "capabilities": {"portMappings": true},
     "externalSetMarkChain": "KUBE-MARK-MASQ"
   }
 ]
}
EOF


Prompt:
Explain this bash code:

cat << EOF | tee /etc/cni/net.d/10-containerd-net.conflist
{
 "cniVersion": "1.0.0",
 "name": "containerd-net",
 "plugins": [
   {
     "type": "bridge",
     "bridge": "cni0",
     "isGateway": true,
     "ipMasq": true,
     "promiscMode": true,
     "ipam": {
       "type": "host-local",
       "ranges": [
         [{
           "subnet": "10.88.0.0/16"
         }],
         [{
           "subnet": "2001:db8:4860::/64"
         }]
       ],
       "routes": [
         { "dst": "0.0.0.0/0" },
         { "dst": "::/0" }
       ]
     }
   },
   {
     "type": "portmap",
     "capabilities": {"portMappings": true},
     "externalSetMarkChain": "KUBE-MARK-MASQ"
   }
 ]
}
EOF

Response: This bash code Troubleshooting CNI plugin-related errors | Update the IP address ranges in the preceding example with ones that are based on your use case and network addressing plan.


Prompt:
Complete this text code:

cat << EOF | tee /etc/cni/net.d/10-containerd-net.conflist
{
 "cniVersion": "1.0.0",
 "name": "containerd-net",
 "plugins": [
   {
     "type": "bridge",
     "bridge": "cni0",
     "isGateway": true,
     "ipMasq": true,
     "promiscMode": true,
     "ipam": {
       "type": "host-local",
       "ranges": [
         [{
           "subnet": "10.88.0.0/16"
         }],

Response:
         [{
           "subnet": "2001:db8:4860::/64"
         }]
       ],
       "routes": [
         { "dst": "0.0.0.0/0" },
         { "dst": "::/0" }
       ]
     }
   },
   {
     "type": "portmap",
     "capabilities": {"portMappings": true},
     "externalSetMarkChain": "KUBE-MARK-MASQ"
   }
 ]
}
EOF


Prompt:
Explain this text code:

cat << EOF | tee /etc/cni/net.d/10-containerd-net.conflist
{
 "cniVersion": "1.0.0",
 "name": "containerd-net",
 "plugins": [
   {
     "type": "bridge",
     "bridge": "cni0",
     "isGateway": true,
     "ipMasq": true,
     "promiscMode": true,
     "ipam": {
       "type": "host-local",
       "ranges": [
         [{
           "subnet": "10.88.0.0/16"
         }],
         [{
           "subnet": "2001:db8:4860::/64"
         }]
       ],
       "routes": [
         { "dst": "0.0.0.0/0" },
         { "dst": "::/0" }
       ]
     }
   },
   {
     "type": "portmap",
     "capabilities": {"portMappings": true},
     "externalSetMarkChain": "KUBE-MARK-MASQ"
   }
 ]
}
EOF

Response: This text code Troubleshooting CNI plugin-related errors | Update the IP address ranges in the preceding example with ones that are based on your use case and network addressing plan.


Prompt:
Complete this yaml code:

apiVersion: batch/v1
kind: Job
metadata:
  name: 'indexed-job'
spec:
  completions: 5
  parallelism: 3
  completionMode: Indexed
  template:
    spec:
      restartPolicy: Never
      initContainers:
      - name: 'input'
        image: 'docker.io/library/bash'
        command:
        - "bash"
        - "-c"

Response:
        - |
          items=(foo bar baz qux xyz)
          echo ${items[$JOB_COMPLETION_INDEX]} > /input/data.txt
        volumeMounts:
        - mountPath: /input
          name: input
      containers:
      - name: 'worker'
        image: 'docker.io/library/busybox'
        command:
        - "rev"
        - "/input/data.txt"
        volumeMounts:
        - mountPath: /input
          name: input
      volumes:
      - name: input
        emptyDir: {}

Context: Indexed Job for Parallel Processing with Static Work Assignment | In the example above, you use the builtin JOB_COMPLETION_INDEX environment variable set by the Job controller for all containers. An init container maps the index to a static value and writes it to a


Prompt:
Explain this yaml code:

apiVersion: batch/v1
kind: Job
metadata:
  name: 'indexed-job'
spec:
  completions: 5
  parallelism: 3
  completionMode: Indexed
  template:
    spec:
      restartPolicy: Never
      initContainers:
      - name: 'input'
        image: 'docker.io/library/bash'
        command:
        - "bash"
        - "-c"
        - |
          items=(foo bar baz qux xyz)
          echo ${items[$JOB_COMPLETION_INDEX]} > /input/data.txt
        volumeMounts:
        - mountPath: /input
          name: input
      containers:
      - name: 'worker'
        image: 'docker.io/library/busybox'
        command:
        - "rev"
        - "/input/data.txt"
        volumeMounts:
        - mountPath: /input
          name: input
      volumes:
      - name: input
        emptyDir: {}

Response: This yaml code Indexed Job for Parallel Processing with Static Work Assignment | In the example above, you use the builtin JOB_COMPLETION_INDEX environment variable set by the Job controller for all containers. An init container maps the index to a static value and writes it to a


Prompt:
Complete this yaml code:

apiVersion: batch/v1
kind: Job
metadata:
  name: 'indexed-job'
spec:
  completions: 5
  parallelism: 3
  completionMode: Indexed
  template:
    spec:
      restartPolicy: Never
      containers:
      - name: 'worker'

Response:
        image: 'docker.io/library/busybox'
        command:
        - "rev"
        - "/input/data.txt"
        volumeMounts:
        - mountPath: /input
          name: input
      volumes:
      - name: input
        downwardAPI:
          items:
          - path: "data.txt"
            fieldRef:
              fieldPath: metadata.annotations['batch.kubernetes.io/job-completion-index']

Context: Indexed Job for Parallel Processing with Static Work Assignment | Now run the Job:


Prompt:
Explain this yaml code:

apiVersion: batch/v1
kind: Job
metadata:
  name: 'indexed-job'
spec:
  completions: 5
  parallelism: 3
  completionMode: Indexed
  template:
    spec:
      restartPolicy: Never
      containers:
      - name: 'worker'
        image: 'docker.io/library/busybox'
        command:
        - "rev"
        - "/input/data.txt"
        volumeMounts:
        - mountPath: /input
          name: input
      volumes:
      - name: input
        downwardAPI:
          items:
          - path: "data.txt"
            fieldRef:
              fieldPath: metadata.annotations['batch.kubernetes.io/job-completion-index']

Response: This yaml code Indexed Job for Parallel Processing with Static Work Assignment | Now run the Job:


Prompt:
Explain this text code:

# This uses the first approach (relying on $JOB_COMPLETION_INDEX)
kubectl apply -f https://kubernetes.io/examples/application/job/indexed-job.yaml

Response: This text code Indexed Job for Parallel Processing with Static Work Assignment | When you create this Job, the control plane creates a series of Pods, one for each index you specified. The value of .spec.parallelism determines how many can run at once whereas .spec.completions det

Context: Indexed Job for Parallel Processing with Static Work Assignment | When you create this Job, the control plane creates a series of Pods, one for each index you specified. The value of .spec.parallelism determines how many can run at once whereas .spec.completions det


Prompt:
Explain this text code:

# The check for condition name is case insensitive
kubectl wait --for=condition=complete --timeout=300s job/indexed-job

Response: This text code Indexed Job for Parallel Processing with Static Work Assignment | Now, describe the Job and check that it was successful.

Context: Indexed Job for Parallel Processing with Static Work Assignment | Now, describe the Job and check that it was successful.


Prompt:
Complete this text code:

Name:              indexed-job
Namespace:         default
Selector:          controller-uid=bf865e04-0b67-483b-9a90-74cfc4c3e756
Labels:            controller-uid=bf865e04-0b67-483b-9a90-74cfc4c3e756
                   job-name=indexed-job
Annotations:       <none>
Parallelism:       3
Completions:       5
Start Time:        Thu, 11 Mar 2021 15:47:34 +0000
Pods Statuses:     2 Running / 3 Succeeded / 0 Failed
Completed Indexes: 0-2
Pod Template:
  Labels:  controller-uid=bf865e04-0b67-483b-9a90-74cfc4c3e756
           job-name=indexed-job
  Init Containers:
   input:
    Image:      docker.io/library/bash
    Port:       <none>
    Host Port:  <none>
    Command:
      bash
      -c
      items=(foo bar baz qux xyz)
      echo ${items[$JOB_COMPLETION_INDEX]} > /input/data.txt

    Environment:  <none>

Response:
    Mounts:
      /input from input (rw)
  Containers:
   worker:
    Image:      docker.io/library/busybox
    Port:       <none>
    Host Port:  <none>
    Command:
      rev
      /input/data.txt
    Environment:  <none>
    Mounts:
      /input from input (rw)
  Volumes:
   input:
    Type:       EmptyDir (a temporary directory that shares a pod's lifetime)
    Medium:
    SizeLimit:  <unset>
Events:
  Type    Reason            Age   From            Message
  ----    ------            ----  ----            -------
  Normal  SuccessfulCreate  4s    job-controller  Created pod: indexed-job-njkjj
  Normal  SuccessfulCreate  4s    job-controller  Created pod: indexed-job-9kd4h
  Normal  SuccessfulCreate  4s    job-controller  Created pod: indexed-job-qjwsz
  Normal  SuccessfulCreate  1s    job-controller  Created pod: indexed-job-fdhq5
  Normal  SuccessfulCreate  1s    job-controller  Created pod: indexed-job-ncslj

Context: Indexed Job for Parallel Processing with Static Work Assignment | In this example, you run the Job with custom values for each index. You can inspect the output of one of the pods:


Prompt:
Explain this text code:

Name:              indexed-job
Namespace:         default
Selector:          controller-uid=bf865e04-0b67-483b-9a90-74cfc4c3e756
Labels:            controller-uid=bf865e04-0b67-483b-9a90-74cfc4c3e756
                   job-name=indexed-job
Annotations:       <none>
Parallelism:       3
Completions:       5
Start Time:        Thu, 11 Mar 2021 15:47:34 +0000
Pods Statuses:     2 Running / 3 Succeeded / 0 Failed
Completed Indexes: 0-2
Pod Template:
  Labels:  controller-uid=bf865e04-0b67-483b-9a90-74cfc4c3e756
           job-name=indexed-job
  Init Containers:
   input:
    Image:      docker.io/library/bash
    Port:       <none>
    Host Port:  <none>
    Command:
      bash
      -c
      items=(foo bar baz qux xyz)
      echo ${items[$JOB_COMPLETION_INDEX]} > /input/data.txt

    Environment:  <none>
    Mounts:
      /input from input (rw)
  Containers:
   worker:
    Image:      docker.io/library/busybox
    Port:       <none>
    Host Port:  <none>
    Command:
      rev
      /input/data.txt
    Environment:  <none>
    Mounts:
      /input from input (rw)
  Volumes:
   input:
    Type:       EmptyDir (a temporary directory that shares a pod's lifetime)
    Medium:
    SizeLimit:  <unset>
Events:
  Type    Reason            Age   From            Message
  ----    ------            ----  ----            -------
  Normal  SuccessfulCreate  4s    job-controller  Created pod: indexed-job-njkjj
  Normal  SuccessfulCreate  4s    job-controller  Created pod: indexed-job-9kd4h
  Normal  SuccessfulCreate  4s    job-controller  Created pod: indexed-job-qjwsz
  Normal  SuccessfulCreate  1s    job-controller  Created pod: indexed-job-fdhq5
  Normal  SuccessfulCreate  1s    job-controller  Created pod: indexed-job-ncslj

Response: This text code Indexed Job for Parallel Processing with Static Work Assignment | In this example, you run the Job with custom values for each index. You can inspect the output of one of the pods:


Prompt:
Explain this bash code:

kubectl logs indexed-job-fdhq5 # Change this to match the name of a Pod from that Job

Response: This bash code Indexed Job for Parallel Processing with Static Work Assignment | The output is similar to:

Context: Indexed Job for Parallel Processing with Static Work Assignment | The output is similar to: