Prompt:
Explain this text code:

cosign verify-blob "$BINARY" \
  --signature "$BINARY".sig \
  --certificate "$BINARY".cert \
  --certificate-identity krel-staging@k8s-releng-prod.iam.gserviceaccount.com \
  --certificate-oidc-issuer https://accounts.google.com

Response: This text code Verify Signed Kubernetes Artifacts | Cosign 2.0 requires the --certificate-identity and --certificate-oidc-issuer options.


Prompt:
Complete this text code:

cosign verify registry.k8s.io/kube-apiserver-amd64:v1.34.0 \
  --certificate-identity krel-trust@k8s-releng-prod.iam.gserviceaccount.com \

Response:
  --certificate-oidc-issuer https://accounts.google.com \
  | jq .

Context: Verify Signed Kubernetes Artifacts | To verify all signed control plane images for the latest stable version (v1.34.0), please run the following commands:


Prompt:
Explain this text code:

cosign verify registry.k8s.io/kube-apiserver-amd64:v1.34.0 \
  --certificate-identity krel-trust@k8s-releng-prod.iam.gserviceaccount.com \
  --certificate-oidc-issuer https://accounts.google.com \
  | jq .

Response: This text code Verify Signed Kubernetes Artifacts | To verify all signed control plane images for the latest stable version (v1.34.0), please run the following commands:


Prompt:
Complete this text code:

curl -Ls "https://sbom.k8s.io/$(curl -Ls https://dl.k8s.io/release/stable.txt)/release" \
  | grep "SPDXID: SPDXRef-Package-registry.k8s.io" \
  | grep -v sha256 | cut -d- -f3- | sed 's/-/\//' | sed 's/-v1/:v1/' \
  | sort > images.txt
input=images.txt
while IFS= read -r image

Response:
do
  cosign verify "$image" \
    --certificate-identity krel-trust@k8s-releng-prod.iam.gserviceaccount.com \
    --certificate-oidc-issuer https://accounts.google.com \
    | jq .
done < "$input"

Context: Verify Signed Kubernetes Artifacts | Once you have verified an image, you can specify the image by its digest in your Pod manifests as per this example:


Prompt:
Explain this text code:

curl -Ls "https://sbom.k8s.io/$(curl -Ls https://dl.k8s.io/release/stable.txt)/release" \
  | grep "SPDXID: SPDXRef-Package-registry.k8s.io" \
  | grep -v sha256 | cut -d- -f3- | sed 's/-/\//' | sed 's/-v1/:v1/' \
  | sort > images.txt
input=images.txt
while IFS= read -r image
do
  cosign verify "$image" \
    --certificate-identity krel-trust@k8s-releng-prod.iam.gserviceaccount.com \
    --certificate-oidc-issuer https://accounts.google.com \
    | jq .
done < "$input"

Response: This text code Verify Signed Kubernetes Artifacts | Once you have verified an image, you can specify the image by its digest in your Pod manifests as per this example:


Prompt:
Explain this text code:

registry-url/image-name@sha256:45b23dee08af5e43a7fea6c4cf9c25ccf269ee113168c19722f87876677c5cb2

Response: This text code Verify Signed Kubernetes Artifacts | For more information, please refer to the Image Pull Policy section.

Context: Verify Signed Kubernetes Artifacts | For more information, please refer to the Image Pull Policy section.


Prompt:
Complete this text code:

# Retrieve the latest available Kubernetes release version
VERSION=$(curl -Ls https://dl.k8s.io/release/stable.txt)

# Verify the SHA512 sum
curl -Ls "https://sbom.k8s.io/$VERSION/release" -o "$VERSION.spdx"
echo "$(curl -Ls "https://sbom.k8s.io/$VERSION/release.sha512") $VERSION.spdx" | sha512sum --check

# Verify the SHA256 sum
echo "$(curl -Ls "https://sbom.k8s.io/$VERSION/release.sha256") $VERSION.spdx" | sha256sum --check

Response:
# Retrieve sigstore signature and certificate
curl -Ls "https://sbom.k8s.io/$VERSION/release.sig" -o "$VERSION.spdx.sig"
curl -Ls "https://sbom.k8s.io/$VERSION/release.cert" -o "$VERSION.spdx.cert"

# Verify the sigstore signature
cosign verify-blob \
    --certificate "$VERSION.spdx.cert" \
    --signature "$VERSION.spdx.sig" \
    --certificate-identity krel-staging@k8s-releng-prod.iam.gserviceaccount.com \
    --certificate-oidc-issuer https://accounts.google.com \
    "$VERSION.spdx"

Context: Verify Signed Kubernetes Artifacts |


Prompt:
Explain this text code:

# Retrieve the latest available Kubernetes release version
VERSION=$(curl -Ls https://dl.k8s.io/release/stable.txt)

# Verify the SHA512 sum
curl -Ls "https://sbom.k8s.io/$VERSION/release" -o "$VERSION.spdx"
echo "$(curl -Ls "https://sbom.k8s.io/$VERSION/release.sha512") $VERSION.spdx" | sha512sum --check

# Verify the SHA256 sum
echo "$(curl -Ls "https://sbom.k8s.io/$VERSION/release.sha256") $VERSION.spdx" | sha256sum --check

# Retrieve sigstore signature and certificate
curl -Ls "https://sbom.k8s.io/$VERSION/release.sig" -o "$VERSION.spdx.sig"
curl -Ls "https://sbom.k8s.io/$VERSION/release.cert" -o "$VERSION.spdx.cert"

# Verify the sigstore signature
cosign verify-blob \
    --certificate "$VERSION.spdx.cert" \
    --signature "$VERSION.spdx.sig" \
    --certificate-identity krel-staging@k8s-releng-prod.iam.gserviceaccount.com \
    --certificate-oidc-issuer https://accounts.google.com \
    "$VERSION.spdx"

Response: This text code Verify Signed Kubernetes Artifacts |

Context: Verify Signed Kubernetes Artifacts |


Prompt:
Complete this bash code:

URL=https://dl.k8s.io/release/v1.34.0/bin/linux/amd64
BINARY=kubectl

FILES=(
    "$BINARY"
    "$BINARY.sig"

Response:
    "$BINARY.cert"
)

for FILE in "${FILES[@]}"; do
    curl -sSfL --retry 3 --retry-delay 3 "$URL/$FILE" -o "$FILE"
done

Context: Verify Signed Kubernetes Artifacts | Then verify the blob by using cosign verify-blob:


Prompt:
Explain this bash code:

URL=https://dl.k8s.io/release/v1.34.0/bin/linux/amd64
BINARY=kubectl

FILES=(
    "$BINARY"
    "$BINARY.sig"
    "$BINARY.cert"
)

for FILE in "${FILES[@]}"; do
    curl -sSfL --retry 3 --retry-delay 3 "$URL/$FILE" -o "$FILE"
done

Response: This bash code Verify Signed Kubernetes Artifacts | Then verify the blob by using cosign verify-blob:


Prompt:
Complete this shell code:

cosign verify-blob "$BINARY" \
  --signature "$BINARY".sig \

Response:
  --certificate "$BINARY".cert \
  --certificate-identity krel-staging@k8s-releng-prod.iam.gserviceaccount.com \
  --certificate-oidc-issuer https://accounts.google.com

Context: Verify Signed Kubernetes Artifacts | Cosign 2.0 requires the --certificate-identity and --certificate-oidc-issuer options.


Prompt:
Explain this shell code:

cosign verify-blob "$BINARY" \
  --signature "$BINARY".sig \
  --certificate "$BINARY".cert \
  --certificate-identity krel-staging@k8s-releng-prod.iam.gserviceaccount.com \
  --certificate-oidc-issuer https://accounts.google.com

Response: This shell code Verify Signed Kubernetes Artifacts | Cosign 2.0 requires the --certificate-identity and --certificate-oidc-issuer options.


Prompt:
Complete this shell code:

cosign verify registry.k8s.io/kube-apiserver-amd64:v1.34.0 \
  --certificate-identity krel-trust@k8s-releng-prod.iam.gserviceaccount.com \

Response:
  --certificate-oidc-issuer https://accounts.google.com \
  | jq .


Prompt:
Explain this shell code:

cosign verify registry.k8s.io/kube-apiserver-amd64:v1.34.0 \
  --certificate-identity krel-trust@k8s-releng-prod.iam.gserviceaccount.com \
  --certificate-oidc-issuer https://accounts.google.com \
  | jq .

Response: This shell code Verify Signed Kubernetes Artifacts | To verify all signed control plane images for the latest stable version (v1.34.0), please run the following commands:


Prompt:
Complete this shell code:

curl -Ls "https://sbom.k8s.io/$(curl -Ls https://dl.k8s.io/release/stable.txt)/release" \
  | grep "SPDXID: SPDXRef-Package-registry.k8s.io" \
  | grep -v sha256 | cut -d- -f3- | sed 's/-/\//' | sed 's/-v1/:v1/' \
  | sort > images.txt
input=images.txt
while IFS= read -r image

Response:
do
  cosign verify "$image" \
    --certificate-identity krel-trust@k8s-releng-prod.iam.gserviceaccount.com \
    --certificate-oidc-issuer https://accounts.google.com \
    | jq .
done < "$input"


Prompt:
Explain this shell code:

curl -Ls "https://sbom.k8s.io/$(curl -Ls https://dl.k8s.io/release/stable.txt)/release" \
  | grep "SPDXID: SPDXRef-Package-registry.k8s.io" \
  | grep -v sha256 | cut -d- -f3- | sed 's/-/\//' | sed 's/-v1/:v1/' \
  | sort > images.txt
input=images.txt
while IFS= read -r image
do
  cosign verify "$image" \
    --certificate-identity krel-trust@k8s-releng-prod.iam.gserviceaccount.com \
    --certificate-oidc-issuer https://accounts.google.com \
    | jq .
done < "$input"

Response: This shell code Verify Signed Kubernetes Artifacts | Once you have verified an image, you can specify the image by its digest in your Pod manifests as per this example:


Prompt:
Explain this console code:

registry-url/image-name@sha256:45b23dee08af5e43a7fea6c4cf9c25ccf269ee113168c19722f87876677c5cb2

Response: This console code Verify Signed Kubernetes Artifacts | For more information, please refer to the Image Pull Policy section.


Prompt:
Complete this shell code:

# Retrieve the latest available Kubernetes release version
VERSION=$(curl -Ls https://dl.k8s.io/release/stable.txt)

# Verify the SHA512 sum
curl -Ls "https://sbom.k8s.io/$VERSION/release" -o "$VERSION.spdx"
echo "$(curl -Ls "https://sbom.k8s.io/$VERSION/release.sha512") $VERSION.spdx" | sha512sum --check

# Verify the SHA256 sum
echo "$(curl -Ls "https://sbom.k8s.io/$VERSION/release.sha256") $VERSION.spdx" | sha256sum --check

Response:
# Retrieve sigstore signature and certificate
curl -Ls "https://sbom.k8s.io/$VERSION/release.sig" -o "$VERSION.spdx.sig"
curl -Ls "https://sbom.k8s.io/$VERSION/release.cert" -o "$VERSION.spdx.cert"

# Verify the sigstore signature
cosign verify-blob \
    --certificate "$VERSION.spdx.cert" \
    --signature "$VERSION.spdx.sig" \
    --certificate-identity krel-staging@k8s-releng-prod.iam.gserviceaccount.com \
    --certificate-oidc-issuer https://accounts.google.com \
    "$VERSION.spdx"

Context: Verify Signed Kubernetes Artifacts |


Prompt:
Explain this shell code:

# Retrieve the latest available Kubernetes release version
VERSION=$(curl -Ls https://dl.k8s.io/release/stable.txt)

# Verify the SHA512 sum
curl -Ls "https://sbom.k8s.io/$VERSION/release" -o "$VERSION.spdx"
echo "$(curl -Ls "https://sbom.k8s.io/$VERSION/release.sha512") $VERSION.spdx" | sha512sum --check

# Verify the SHA256 sum
echo "$(curl -Ls "https://sbom.k8s.io/$VERSION/release.sha256") $VERSION.spdx" | sha256sum --check

# Retrieve sigstore signature and certificate
curl -Ls "https://sbom.k8s.io/$VERSION/release.sig" -o "$VERSION.spdx.sig"
curl -Ls "https://sbom.k8s.io/$VERSION/release.cert" -o "$VERSION.spdx.cert"

# Verify the sigstore signature
cosign verify-blob \
    --certificate "$VERSION.spdx.cert" \
    --signature "$VERSION.spdx.sig" \
    --certificate-identity krel-staging@k8s-releng-prod.iam.gserviceaccount.com \
    --certificate-oidc-issuer https://accounts.google.com \
    "$VERSION.spdx"

Response: This shell code Verify Signed Kubernetes Artifacts |

Context: Verify Signed Kubernetes Artifacts |


Prompt:
Complete this text code:

URL=https://dl.k8s.io/release/v1.34.0/bin/linux/amd64
BINARY=kubectl

FILES=(
    "$BINARY"
    "$BINARY.sig"

Response:
    "$BINARY.cert"
)

for FILE in "${FILES[@]}"; do
    curl -sSfL --retry 3 --retry-delay 3 "$URL/$FILE" -o "$FILE"
done


Prompt:
Explain this text code:

URL=https://dl.k8s.io/release/v1.34.0/bin/linux/amd64
BINARY=kubectl

FILES=(
    "$BINARY"
    "$BINARY.sig"
    "$BINARY.cert"
)

for FILE in "${FILES[@]}"; do
    curl -sSfL --retry 3 --retry-delay 3 "$URL/$FILE" -o "$FILE"
done

Response: This text code Verify Signed Kubernetes Artifacts | Then verify the blob by using cosign verify-blob:


Prompt:
Complete this text code:

cosign verify-blob "$BINARY" \
  --signature "$BINARY".sig \

Response:
  --certificate "$BINARY".cert \
  --certificate-identity krel-staging@k8s-releng-prod.iam.gserviceaccount.com \
  --certificate-oidc-issuer https://accounts.google.com


Prompt:
Explain this text code:

cosign verify-blob "$BINARY" \
  --signature "$BINARY".sig \
  --certificate "$BINARY".cert \
  --certificate-identity krel-staging@k8s-releng-prod.iam.gserviceaccount.com \
  --certificate-oidc-issuer https://accounts.google.com

Response: This text code Verify Signed Kubernetes Artifacts | Cosign 2.0 requires the --certificate-identity and --certificate-oidc-issuer options.


Prompt:
Complete this text code:

cosign verify registry.k8s.io/kube-apiserver-amd64:v1.34.0 \
  --certificate-identity krel-trust@k8s-releng-prod.iam.gserviceaccount.com \

Response:
  --certificate-oidc-issuer https://accounts.google.com \
  | jq .


Prompt:
Explain this text code:

cosign verify registry.k8s.io/kube-apiserver-amd64:v1.34.0 \
  --certificate-identity krel-trust@k8s-releng-prod.iam.gserviceaccount.com \
  --certificate-oidc-issuer https://accounts.google.com \
  | jq .

Response: This text code Verify Signed Kubernetes Artifacts | To verify all signed control plane images for the latest stable version (v1.34.0), please run the following commands:


Prompt:
Complete this text code:

curl -Ls "https://sbom.k8s.io/$(curl -Ls https://dl.k8s.io/release/stable.txt)/release" \
  | grep "SPDXID: SPDXRef-Package-registry.k8s.io" \
  | grep -v sha256 | cut -d- -f3- | sed 's/-/\//' | sed 's/-v1/:v1/' \
  | sort > images.txt
input=images.txt
while IFS= read -r image

Response:
do
  cosign verify "$image" \
    --certificate-identity krel-trust@k8s-releng-prod.iam.gserviceaccount.com \
    --certificate-oidc-issuer https://accounts.google.com \
    | jq .
done < "$input"


Prompt:
Explain this text code:

curl -Ls "https://sbom.k8s.io/$(curl -Ls https://dl.k8s.io/release/stable.txt)/release" \
  | grep "SPDXID: SPDXRef-Package-registry.k8s.io" \
  | grep -v sha256 | cut -d- -f3- | sed 's/-/\//' | sed 's/-v1/:v1/' \
  | sort > images.txt
input=images.txt
while IFS= read -r image
do
  cosign verify "$image" \
    --certificate-identity krel-trust@k8s-releng-prod.iam.gserviceaccount.com \
    --certificate-oidc-issuer https://accounts.google.com \
    | jq .
done < "$input"

Response: This text code Verify Signed Kubernetes Artifacts | Once you have verified an image, you can specify the image by its digest in your Pod manifests as per this example:


Prompt:
Explain this text code:

registry-url/image-name@sha256:45b23dee08af5e43a7fea6c4cf9c25ccf269ee113168c19722f87876677c5cb2

Response: This text code Verify Signed Kubernetes Artifacts | For more information, please refer to the Image Pull Policy section.


Prompt:
Complete this text code:

# Retrieve the latest available Kubernetes release version
VERSION=$(curl -Ls https://dl.k8s.io/release/stable.txt)

# Verify the SHA512 sum
curl -Ls "https://sbom.k8s.io/$VERSION/release" -o "$VERSION.spdx"
echo "$(curl -Ls "https://sbom.k8s.io/$VERSION/release.sha512") $VERSION.spdx" | sha512sum --check

# Verify the SHA256 sum
echo "$(curl -Ls "https://sbom.k8s.io/$VERSION/release.sha256") $VERSION.spdx" | sha256sum --check

Response:
# Retrieve sigstore signature and certificate
curl -Ls "https://sbom.k8s.io/$VERSION/release.sig" -o "$VERSION.spdx.sig"
curl -Ls "https://sbom.k8s.io/$VERSION/release.cert" -o "$VERSION.spdx.cert"

# Verify the sigstore signature
cosign verify-blob \
    --certificate "$VERSION.spdx.cert" \
    --signature "$VERSION.spdx.sig" \
    --certificate-identity krel-staging@k8s-releng-prod.iam.gserviceaccount.com \
    --certificate-oidc-issuer https://accounts.google.com \
    "$VERSION.spdx"

Context: Verify Signed Kubernetes Artifacts |


Prompt:
Explain this text code:

# Retrieve the latest available Kubernetes release version
VERSION=$(curl -Ls https://dl.k8s.io/release/stable.txt)

# Verify the SHA512 sum
curl -Ls "https://sbom.k8s.io/$VERSION/release" -o "$VERSION.spdx"
echo "$(curl -Ls "https://sbom.k8s.io/$VERSION/release.sha512") $VERSION.spdx" | sha512sum --check

# Verify the SHA256 sum
echo "$(curl -Ls "https://sbom.k8s.io/$VERSION/release.sha256") $VERSION.spdx" | sha256sum --check

# Retrieve sigstore signature and certificate
curl -Ls "https://sbom.k8s.io/$VERSION/release.sig" -o "$VERSION.spdx.sig"
curl -Ls "https://sbom.k8s.io/$VERSION/release.cert" -o "$VERSION.spdx.cert"

# Verify the sigstore signature
cosign verify-blob \
    --certificate "$VERSION.spdx.cert" \
    --signature "$VERSION.spdx.sig" \
    --certificate-identity krel-staging@k8s-releng-prod.iam.gserviceaccount.com \
    --certificate-oidc-issuer https://accounts.google.com \
    "$VERSION.spdx"

Response: This text code Verify Signed Kubernetes Artifacts |

Context: Verify Signed Kubernetes Artifacts |


Prompt:
Complete this yaml code:

---
apiVersion: v1
kind: Pod
metadata:
  name: frontend
spec:
  containers:
  - name: app
    image: images.my-company.example/app:v4
    resources:
      requests:
        memory: "64Mi"

Response:
        cpu: "250m"
      limits:
        memory: "128Mi"
        cpu: "500m"
  - name: log-aggregator
    image: images.my-company.example/log-aggregator:v6
    resources:
      requests:
        memory: "64Mi"
        cpu: "250m"
      limits:
        memory: "128Mi"
        cpu: "500m"

Context: Resource Management for Pods and Containers | This feature can be enabled by setting the PodLevelResources feature gate. The following Pod has an explicit request of 1 CPU and 100 MiB of memory, and an explicit limit of 1 CPU and 200 MiB of memor


Prompt:
Explain this yaml code:

---
apiVersion: v1
kind: Pod
metadata:
  name: frontend
spec:
  containers:
  - name: app
    image: images.my-company.example/app:v4
    resources:
      requests:
        memory: "64Mi"
        cpu: "250m"
      limits:
        memory: "128Mi"
        cpu: "500m"
  - name: log-aggregator
    image: images.my-company.example/log-aggregator:v6
    resources:
      requests:
        memory: "64Mi"
        cpu: "250m"
      limits:
        memory: "128Mi"
        cpu: "500m"

Response: This yaml code Resource Management for Pods and Containers | This feature can be enabled by setting the PodLevelResources feature gate. The following Pod has an explicit request of 1 CPU and 100 MiB of memory, and an explicit limit of 1 CPU and 200 MiB of memor


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: Resource Management for Pods and Containers | When you create a Pod, the Kubernetes scheduler selects a node for the Pod to run on. Each node has a maximum capacity for each of the resource types: the amount of CPU and memory it can provide for P


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 Resource Management for Pods and Containers | When you create a Pod, the Kubernetes scheduler selects a node for the Pod to run on. Each node has a maximum capacity for each of the resource types: the amount of CPU and memory it can provide for P


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: frontend
spec:
  containers:
  - name: app
    image: images.my-company.example/app:v4
    resources:
      requests:
        ephemeral-storage: "2Gi"
      limits:
        ephemeral-storage: "4Gi"
    volumeMounts:
    - name: ephemeral

Response:
      mountPath: "/tmp"
  - name: log-aggregator
    image: images.my-company.example/log-aggregator:v6
    resources:
      requests:
        ephemeral-storage: "2Gi"
      limits:
        ephemeral-storage: "4Gi"
    volumeMounts:
    - name: ephemeral
      mountPath: "/tmp"
  volumes:
    - name: ephemeral
      emptyDir:
        sizeLimit: 500Mi

Context: Resource Management for Pods and Containers | When you create a Pod, the Kubernetes scheduler selects a node for the Pod to run on. Each node has a maximum amount of local ephemeral storage it can provide for Pods. For more information, see Node


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: frontend
spec:
  containers:
  - name: app
    image: images.my-company.example/app:v4
    resources:
      requests:
        ephemeral-storage: "2Gi"
      limits:
        ephemeral-storage: "4Gi"
    volumeMounts:
    - name: ephemeral
      mountPath: "/tmp"
  - name: log-aggregator
    image: images.my-company.example/log-aggregator:v6
    resources:
      requests:
        ephemeral-storage: "2Gi"
      limits:
        ephemeral-storage: "4Gi"
    volumeMounts:
    - name: ephemeral
      mountPath: "/tmp"
  volumes:
    - name: ephemeral
      emptyDir:
        sizeLimit: 500Mi

Response: This yaml code Resource Management for Pods and Containers | When you create a Pod, the Kubernetes scheduler selects a node for the Pod to run on. Each node has a maximum amount of local ephemeral storage it can provide for Pods. For more information, see Node


Prompt:
Explain this text code:

# For ext4, with /dev/block-device not mounted
sudo tune2fs -O project -Q prjquota /dev/block-device

Response: This text code Resource Management for Pods and Containers | Ensure that the root filesystem (or optional runtime filesystem) is mounted with project quotas enabled. For both XFS and ext4fs, the mount option is named prjquota.

Context: Resource Management for Pods and Containers | Ensure that the root filesystem (or optional runtime filesystem) is mounted with project quotas enabled. For both XFS and ext4fs, the mount option is named prjquota.


Prompt:
Complete this text code:

curl --header "Content-Type: application/json-patch+json" \
--request PATCH \

Response:
--data '[{"op": "add", "path": "/status/capacity/example.com~1foo", "value": "5"}]' \
http://k8s-master:8080/api/v1/nodes/k8s-node-1/status

Context: Resource Management for Pods and Containers | Cluster-level extended resources are not tied to nodes. They are usually managed by scheduler extenders, which handle the resource consumption and resource quota.


Prompt:
Explain this text code:

curl --header "Content-Type: application/json-patch+json" \
--request PATCH \
--data '[{"op": "add", "path": "/status/capacity/example.com~1foo", "value": "5"}]' \
http://k8s-master:8080/api/v1/nodes/k8s-node-1/status

Response: This text code Resource Management for Pods and Containers | Cluster-level extended resources are not tied to nodes. They are usually managed by scheduler extenders, which handle the resource consumption and resource quota.


Prompt:
Complete this json code:

{
  "kind": "Policy",
  "apiVersion": "v1",
  "extenders": [
    {
      "urlPrefix":"<extender-endpoint>",
      "bindVerb": "bind",
      "managedResources": [

Response:
        {
          "name": "example.com/foo",
          "ignoredByScheduler": true
        }
      ]
    }
  ]
}

Context: Resource Management for Pods and Containers | Extended resources allocation by DRA allows cluster administrators to specify an extendedResourceName in DeviceClass, then the devices matching the DeviceClass can be requested from a pod's extended r


Prompt:
Explain this json code:

{
  "kind": "Policy",
  "apiVersion": "v1",
  "extenders": [
    {
      "urlPrefix":"<extender-endpoint>",
      "bindVerb": "bind",
      "managedResources": [
        {
          "name": "example.com/foo",
          "ignoredByScheduler": true
        }
      ]
    }
  ]
}

Response: This json code Resource Management for Pods and Containers | Extended resources allocation by DRA allows cluster administrators to specify an extendedResourceName in DeviceClass, then the devices matching the DeviceClass can be requested from a pod's extended r


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: my-pod
spec:
  containers:
  - name: my-container

Response:
    image: myimage
    resources:
      requests:
        cpu: 2
        example.com/foo: 1
      limits:
        example.com/foo: 1

Context: Resource Management for Pods and Containers | Process ID (PID) limits allow for the configuration of a kubelet to limit the number of PIDs that a given Pod can consume. See PID Limiting for information.


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: my-pod
spec:
  containers:
  - name: my-container
    image: myimage
    resources:
      requests:
        cpu: 2
        example.com/foo: 1
      limits:
        example.com/foo: 1

Response: This yaml code Resource Management for Pods and Containers | Process ID (PID) limits allow for the configuration of a kubelet to limit the number of PIDs that a given Pod can consume. See PID Limiting for information.


Prompt:
Explain this bash code:

kubectl describe pod frontend | grep -A 9999999999 Events

Response: This bash code Resource Management for Pods and Containers | In the preceding example, the Pod named "frontend" fails to be scheduled due to insufficient CPU resource on any node. Similar error messages can also suggest failure due to insufficient memory (PodEx

Context: Resource Management for Pods and Containers | In the preceding example, the Pod named "frontend" fails to be scheduled due to insufficient CPU resource on any node. Similar error messages can also suggest failure due to insufficient memory (PodEx


Prompt:
Complete this text code:

Events:
  Type     Reason            Age   From               Message

Response:
  ----     ------            ----  ----               -------
  Warning  FailedScheduling  23s   default-scheduler  0/42 nodes available: insufficient cpu


Prompt:
Explain this text code:

Events:
  Type     Reason            Age   From               Message
  ----     ------            ----  ----               -------
  Warning  FailedScheduling  23s   default-scheduler  0/42 nodes available: insufficient cpu

Response: This text code Resource Management for Pods and Containers | In the preceding example, the Pod named "frontend" fails to be scheduled due to insufficient CPU resource on any node. Similar error messages can also suggest failure due to insufficient memory (PodEx


Prompt:
Complete this text code:

Name:            e2e-test-node-pool-4lw4
[ ... lines removed for clarity ...]
Capacity:
 cpu:                               2
 memory:                            7679792Ki
 pods:                              110
Allocatable:
 cpu:                               1800m
 memory:                            7474992Ki
 pods:                              110
[ ... lines removed for clarity ...]
Non-terminated Pods:        (5 in total)

Response:
  Namespace    Name                                  CPU Requests  CPU Limits  Memory Requests  Memory Limits
  ---------    ----                                  ------------  ----------  ---------------  -------------
  kube-system  fluentd-gcp-v1.38-28bv1               100m (5%)     0 (0%)      200Mi (2%)       200Mi (2%)
  kube-system  kube-dns-3297075139-61lj3             260m (13%)    0 (0%)      100Mi (1%)       170Mi (2%)
  kube-system  kube-proxy-e2e-test-...               100m (5%)     0 (0%)      0 (0%)           0 (0%)
  kube-system  monitoring-influxdb-grafana-v4-z1m12  200m (10%)    200m (10%)  600Mi (8%)       600Mi (8%)
  kube-system  node-problem-detector-v0.1-fj7m3      20m (1%)      200m (10%)  20Mi (0%)        100Mi (1%)
Allocated resources:
  (Total limits may be over 100 percent, i.e., overcommitted.)
  CPU Requests    CPU Limits    Memory Requests    Memory Limits
  ------------    ----------    ---------------    -------------
  680m (34%)      400m (20%)    920Mi (11%)        1070Mi (13%)

Context: Resource Management for Pods and Containers | In the preceding output, you can see that if a Pod requests more than 1.120 CPUs or more than 6.23Gi of memory, that Pod will not fit on the node.


Prompt:
Explain this text code:

Name:            e2e-test-node-pool-4lw4
[ ... lines removed for clarity ...]
Capacity:
 cpu:                               2
 memory:                            7679792Ki
 pods:                              110
Allocatable:
 cpu:                               1800m
 memory:                            7474992Ki
 pods:                              110
[ ... lines removed for clarity ...]
Non-terminated Pods:        (5 in total)
  Namespace    Name                                  CPU Requests  CPU Limits  Memory Requests  Memory Limits
  ---------    ----                                  ------------  ----------  ---------------  -------------
  kube-system  fluentd-gcp-v1.38-28bv1               100m (5%)     0 (0%)      200Mi (2%)       200Mi (2%)
  kube-system  kube-dns-3297075139-61lj3             260m (13%)    0 (0%)      100Mi (1%)       170Mi (2%)
  kube-system  kube-proxy-e2e-test-...               100m (5%)     0 (0%)      0 (0%)           0 (0%)
  kube-system  monitoring-influxdb-grafana-v4-z1m12  200m (10%)    200m (10%)  600Mi (8%)       600Mi (8%)
  kube-system  node-problem-detector-v0.1-fj7m3      20m (1%)      200m (10%)  20Mi (0%)        100Mi (1%)
Allocated resources:
  (Total limits may be over 100 percent, i.e., overcommitted.)
  CPU Requests    CPU Limits    Memory Requests    Memory Limits
  ------------    ----------    ---------------    -------------
  680m (34%)      400m (20%)    920Mi (11%)        1070Mi (13%)

Response: This text code Resource Management for Pods and Containers | In the preceding output, you can see that if a Pod requests more than 1.120 CPUs or more than 6.23Gi of memory, that Pod will not fit on the node.


Prompt:
Complete this text code:

Name:                           simmemleak-hra99
Namespace:                      default
Image(s):                       saadali/simmemleak
Node:                           kubernetes-node-tf0f/10.240.216.66
Labels:                         name=simmemleak
Status:                         Running
Reason:
Message:
IP:                             10.244.2.75
Containers:
  simmemleak:
    Image:  saadali/simmemleak:latest
    Limits:
      cpu:          100m
      memory:       50Mi
    State:          Running
      Started:      Tue, 07 Jul 2019 12:54:41 -0700

Response:
    Last State:     Terminated
      Reason:       OOMKilled
      Exit Code:    137
      Started:      Fri, 07 Jul 2019 12:54:30 -0700
      Finished:     Fri, 07 Jul 2019 12:54:33 -0700
    Ready:          False
    Restart Count:  5
Conditions:
  Type      Status
  Ready     False
Events:
  Type    Reason     Age   From               Message
  ----    ------     ----  ----               -------
  Normal  Scheduled  42s   default-scheduler  Successfully assigned simmemleak-hra99 to kubernetes-node-tf0f
  Normal  Pulled     41s   kubelet            Container image "saadali/simmemleak:latest" already present on machine
  Normal  Created    41s   kubelet            Created container simmemleak
  Normal  Started    40s   kubelet            Started container simmemleak
  Normal  Killing    32s   kubelet            Killing container with id ead3fb35-5cf5-44ed-9ae1-488115be66c6: Need to kill Pod

Context: Resource Management for Pods and Containers | In the preceding example, the Restart Count: 5 indicates that the simmemleak container in the Pod was terminated and restarted five times (so far). The OOMKilled reason shows that the container tried


Prompt:
Explain this text code:

Name:                           simmemleak-hra99
Namespace:                      default
Image(s):                       saadali/simmemleak
Node:                           kubernetes-node-tf0f/10.240.216.66
Labels:                         name=simmemleak
Status:                         Running
Reason:
Message:
IP:                             10.244.2.75
Containers:
  simmemleak:
    Image:  saadali/simmemleak:latest
    Limits:
      cpu:          100m
      memory:       50Mi
    State:          Running
      Started:      Tue, 07 Jul 2019 12:54:41 -0700
    Last State:     Terminated
      Reason:       OOMKilled
      Exit Code:    137
      Started:      Fri, 07 Jul 2019 12:54:30 -0700
      Finished:     Fri, 07 Jul 2019 12:54:33 -0700
    Ready:          False
    Restart Count:  5
Conditions:
  Type      Status
  Ready     False
Events:
  Type    Reason     Age   From               Message
  ----    ------     ----  ----               -------
  Normal  Scheduled  42s   default-scheduler  Successfully assigned simmemleak-hra99 to kubernetes-node-tf0f
  Normal  Pulled     41s   kubelet            Container image "saadali/simmemleak:latest" already present on machine
  Normal  Created    41s   kubelet            Created container simmemleak
  Normal  Started    40s   kubelet            Started container simmemleak
  Normal  Killing    32s   kubelet            Killing container with id ead3fb35-5cf5-44ed-9ae1-488115be66c6: Need to kill Pod

Response: This text code Resource Management for Pods and Containers | In the preceding example, the Restart Count: 5 indicates that the simmemleak container in the Pod was terminated and restarted five times (so far). The OOMKilled reason shows that the container tried


Prompt:
Explain this text code:

spec.containers[].resources.limits.hugepages-<size>

Response: This text code Resource Management for Pods and Containers | Although you can only specify requests and limits for individual containers, it is also useful to think about the overall resource requests and limits for a Pod. For a particular resource, a Pod resou

Context: Resource Management for Pods and Containers | Although you can only specify requests and limits for individual containers, it is also useful to think about the overall resource requests and limits for a Pod. For a particular resource, a Pod resou


Prompt:
Explain this text code:

spec.containers[].resources.requests.hugepages-<size>

Response: This text code Resource Management for Pods and Containers | Although you can only specify requests and limits for individual containers, it is also useful to think about the overall resource requests and limits for a Pod. For a particular resource, a Pod resou


Prompt:
Complete this yaml code:

---
apiVersion: v1
kind: Pod
metadata:
  name: frontend
spec:
  containers:
  - name: app
    image: images.my-company.example/app:v4
    resources:
      requests:
        memory: "64Mi"

Response:
        cpu: "250m"
      limits:
        memory: "128Mi"
        cpu: "500m"
  - name: log-aggregator
    image: images.my-company.example/log-aggregator:v6
    resources:
      requests:
        memory: "64Mi"
        cpu: "250m"
      limits:
        memory: "128Mi"
        cpu: "500m"


Prompt:
Explain this yaml code:

---
apiVersion: v1
kind: Pod
metadata:
  name: frontend
spec:
  containers:
  - name: app
    image: images.my-company.example/app:v4
    resources:
      requests:
        memory: "64Mi"
        cpu: "250m"
      limits:
        memory: "128Mi"
        cpu: "500m"
  - name: log-aggregator
    image: images.my-company.example/log-aggregator:v6
    resources:
      requests:
        memory: "64Mi"
        cpu: "250m"
      limits:
        memory: "128Mi"
        cpu: "500m"

Response: This yaml code Resource Management for Pods and Containers | This feature can be enabled by setting the PodLevelResources feature gate. The following Pod has an explicit request of 1 CPU and 100 MiB of memory, and an explicit limit of 1 CPU and 200 MiB of memor


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 Resource Management for Pods and Containers | When you create a Pod, the Kubernetes scheduler selects a node for the Pod to run on. Each node has a maximum capacity for each of the resource types: the amount of CPU and memory it can provide for P


Prompt:
Explain this text code:

spec.containers[].resources.limits.ephemeral-storage

Response: This text code Resource Management for Pods and Containers | Limits and requests for ephemeral-storage are measured in byte quantities. You can express storage as a plain integer or as a fixed-point number using one of these suffixes: E, P, T, G, M, k. You can

Context: Resource Management for Pods and Containers | Limits and requests for ephemeral-storage are measured in byte quantities. You can express storage as a plain integer or as a fixed-point number using one of these suffixes: E, P, T, G, M, k. You can


Prompt:
Explain this text code:

spec.containers[].resources.requests.ephemeral-storage

Response: This text code Resource Management for Pods and Containers | Limits and requests for ephemeral-storage are measured in byte quantities. You can express storage as a plain integer or as a fixed-point number using one of these suffixes: E, P, T, G, M, k. You can


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: frontend
spec:
  containers:
  - name: app
    image: images.my-company.example/app:v4
    resources:
      requests:
        ephemeral-storage: "2Gi"
      limits:
        ephemeral-storage: "4Gi"
    volumeMounts:
    - name: ephemeral

Response:
      mountPath: "/tmp"
  - name: log-aggregator
    image: images.my-company.example/log-aggregator:v6
    resources:
      requests:
        ephemeral-storage: "2Gi"
      limits:
        ephemeral-storage: "4Gi"
    volumeMounts:
    - name: ephemeral
      mountPath: "/tmp"
  volumes:
    - name: ephemeral
      emptyDir:
        sizeLimit: 500Mi


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: frontend
spec:
  containers:
  - name: app
    image: images.my-company.example/app:v4
    resources:
      requests:
        ephemeral-storage: "2Gi"
      limits:
        ephemeral-storage: "4Gi"
    volumeMounts:
    - name: ephemeral
      mountPath: "/tmp"
  - name: log-aggregator
    image: images.my-company.example/log-aggregator:v6
    resources:
      requests:
        ephemeral-storage: "2Gi"
      limits:
        ephemeral-storage: "4Gi"
    volumeMounts:
    - name: ephemeral
      mountPath: "/tmp"
  volumes:
    - name: ephemeral
      emptyDir:
        sizeLimit: 500Mi

Response: This yaml code Resource Management for Pods and Containers | When you create a Pod, the Kubernetes scheduler selects a node for the Pod to run on. Each node has a maximum amount of local ephemeral storage it can provide for Pods. For more information, see Node


Prompt:
Explain this text code:

LocalStorageCapacityIsolationFSQuotaMonitoring=true

Response: This text code Resource Management for Pods and Containers | Ensure the UserNamespacesSupport feature gate is enabled, and that the kernel, CRI implementation and OCI runtime support user namespaces.

Context: Resource Management for Pods and Containers | Ensure the UserNamespacesSupport feature gate is enabled, and that the kernel, CRI implementation and OCI runtime support user namespaces.


Prompt:
Explain this bash code:

# For ext4, with /dev/block-device not mounted
sudo tune2fs -O project -Q prjquota /dev/block-device

Response: This bash code Resource Management for Pods and Containers | Ensure that the root filesystem (or optional runtime filesystem) is mounted with project quotas enabled. For both XFS and ext4fs, the mount option is named prjquota.


Prompt:
Complete this shell code:

curl --header "Content-Type: application/json-patch+json" \
--request PATCH \

Response:
--data '[{"op": "add", "path": "/status/capacity/example.com~1foo", "value": "5"}]' \
http://k8s-master:8080/api/v1/nodes/k8s-node-1/status


Prompt:
Explain this shell code:

curl --header "Content-Type: application/json-patch+json" \
--request PATCH \
--data '[{"op": "add", "path": "/status/capacity/example.com~1foo", "value": "5"}]' \
http://k8s-master:8080/api/v1/nodes/k8s-node-1/status

Response: This shell code Resource Management for Pods and Containers | Cluster-level extended resources are not tied to nodes. They are usually managed by scheduler extenders, which handle the resource consumption and resource quota.


Prompt:
Complete this json code:

{
  "kind": "Policy",
  "apiVersion": "v1",
  "extenders": [
    {
      "urlPrefix":"<extender-endpoint>",
      "bindVerb": "bind",
      "managedResources": [

Response:
        {
          "name": "example.com/foo",
          "ignoredByScheduler": true
        }
      ]
    }
  ]
}


Prompt:
Explain this json code:

{
  "kind": "Policy",
  "apiVersion": "v1",
  "extenders": [
    {
      "urlPrefix":"<extender-endpoint>",
      "bindVerb": "bind",
      "managedResources": [
        {
          "name": "example.com/foo",
          "ignoredByScheduler": true
        }
      ]
    }
  ]
}

Response: This json code Resource Management for Pods and Containers | Extended resources allocation by DRA allows cluster administrators to specify an extendedResourceName in DeviceClass, then the devices matching the DeviceClass can be requested from a pod's extended r


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: my-pod
spec:
  containers:
  - name: my-container

Response:
    image: myimage
    resources:
      requests:
        cpu: 2
        example.com/foo: 1
      limits:
        example.com/foo: 1


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: my-pod
spec:
  containers:
  - name: my-container
    image: myimage
    resources:
      requests:
        cpu: 2
        example.com/foo: 1
      limits:
        example.com/foo: 1

Response: This yaml code Resource Management for Pods and Containers | Process ID (PID) limits allow for the configuration of a kubelet to limit the number of PIDs that a given Pod can consume. See PID Limiting for information.


Prompt:
Explain this shell code:

kubectl describe pod frontend | grep -A 9999999999 Events

Response: This shell code Resource Management for Pods and Containers | In the preceding example, the Pod named "frontend" fails to be scheduled due to insufficient CPU resource on any node. Similar error messages can also suggest failure due to insufficient memory (PodEx


Prompt:
Complete this text code:

Events:
  Type     Reason            Age   From               Message

Response:
  ----     ------            ----  ----               -------
  Warning  FailedScheduling  23s   default-scheduler  0/42 nodes available: insufficient cpu


Prompt:
Explain this text code:

Events:
  Type     Reason            Age   From               Message
  ----     ------            ----  ----               -------
  Warning  FailedScheduling  23s   default-scheduler  0/42 nodes available: insufficient cpu

Response: This text code Resource Management for Pods and Containers | In the preceding example, the Pod named "frontend" fails to be scheduled due to insufficient CPU resource on any node. Similar error messages can also suggest failure due to insufficient memory (PodEx


Prompt:
Complete this text code:

Name:            e2e-test-node-pool-4lw4
[ ... lines removed for clarity ...]
Capacity:
 cpu:                               2
 memory:                            7679792Ki
 pods:                              110
Allocatable:
 cpu:                               1800m
 memory:                            7474992Ki
 pods:                              110
[ ... lines removed for clarity ...]
Non-terminated Pods:        (5 in total)

Response:
  Namespace    Name                                  CPU Requests  CPU Limits  Memory Requests  Memory Limits
  ---------    ----                                  ------------  ----------  ---------------  -------------
  kube-system  fluentd-gcp-v1.38-28bv1               100m (5%)     0 (0%)      200Mi (2%)       200Mi (2%)
  kube-system  kube-dns-3297075139-61lj3             260m (13%)    0 (0%)      100Mi (1%)       170Mi (2%)
  kube-system  kube-proxy-e2e-test-...               100m (5%)     0 (0%)      0 (0%)           0 (0%)
  kube-system  monitoring-influxdb-grafana-v4-z1m12  200m (10%)    200m (10%)  600Mi (8%)       600Mi (8%)
  kube-system  node-problem-detector-v0.1-fj7m3      20m (1%)      200m (10%)  20Mi (0%)        100Mi (1%)
Allocated resources:
  (Total limits may be over 100 percent, i.e., overcommitted.)
  CPU Requests    CPU Limits    Memory Requests    Memory Limits
  ------------    ----------    ---------------    -------------
  680m (34%)      400m (20%)    920Mi (11%)        1070Mi (13%)


Prompt:
Explain this text code:

Name:            e2e-test-node-pool-4lw4
[ ... lines removed for clarity ...]
Capacity:
 cpu:                               2
 memory:                            7679792Ki
 pods:                              110
Allocatable:
 cpu:                               1800m
 memory:                            7474992Ki
 pods:                              110
[ ... lines removed for clarity ...]
Non-terminated Pods:        (5 in total)
  Namespace    Name                                  CPU Requests  CPU Limits  Memory Requests  Memory Limits
  ---------    ----                                  ------------  ----------  ---------------  -------------
  kube-system  fluentd-gcp-v1.38-28bv1               100m (5%)     0 (0%)      200Mi (2%)       200Mi (2%)
  kube-system  kube-dns-3297075139-61lj3             260m (13%)    0 (0%)      100Mi (1%)       170Mi (2%)
  kube-system  kube-proxy-e2e-test-...               100m (5%)     0 (0%)      0 (0%)           0 (0%)
  kube-system  monitoring-influxdb-grafana-v4-z1m12  200m (10%)    200m (10%)  600Mi (8%)       600Mi (8%)
  kube-system  node-problem-detector-v0.1-fj7m3      20m (1%)      200m (10%)  20Mi (0%)        100Mi (1%)
Allocated resources:
  (Total limits may be over 100 percent, i.e., overcommitted.)
  CPU Requests    CPU Limits    Memory Requests    Memory Limits
  ------------    ----------    ---------------    -------------
  680m (34%)      400m (20%)    920Mi (11%)        1070Mi (13%)

Response: This text code Resource Management for Pods and Containers | In the preceding output, you can see that if a Pod requests more than 1.120 CPUs or more than 6.23Gi of memory, that Pod will not fit on the node.


Prompt:
Complete this text code:

Name:                           simmemleak-hra99
Namespace:                      default
Image(s):                       saadali/simmemleak
Node:                           kubernetes-node-tf0f/10.240.216.66
Labels:                         name=simmemleak
Status:                         Running
Reason:
Message:
IP:                             10.244.2.75
Containers:
  simmemleak:
    Image:  saadali/simmemleak:latest
    Limits:
      cpu:          100m
      memory:       50Mi
    State:          Running
      Started:      Tue, 07 Jul 2019 12:54:41 -0700

Response:
    Last State:     Terminated
      Reason:       OOMKilled
      Exit Code:    137
      Started:      Fri, 07 Jul 2019 12:54:30 -0700
      Finished:     Fri, 07 Jul 2019 12:54:33 -0700
    Ready:          False
    Restart Count:  5
Conditions:
  Type      Status
  Ready     False
Events:
  Type    Reason     Age   From               Message
  ----    ------     ----  ----               -------
  Normal  Scheduled  42s   default-scheduler  Successfully assigned simmemleak-hra99 to kubernetes-node-tf0f
  Normal  Pulled     41s   kubelet            Container image "saadali/simmemleak:latest" already present on machine
  Normal  Created    41s   kubelet            Created container simmemleak
  Normal  Started    40s   kubelet            Started container simmemleak
  Normal  Killing    32s   kubelet            Killing container with id ead3fb35-5cf5-44ed-9ae1-488115be66c6: Need to kill Pod


Prompt:
Explain this text code:

Name:                           simmemleak-hra99
Namespace:                      default
Image(s):                       saadali/simmemleak
Node:                           kubernetes-node-tf0f/10.240.216.66
Labels:                         name=simmemleak
Status:                         Running
Reason:
Message:
IP:                             10.244.2.75
Containers:
  simmemleak:
    Image:  saadali/simmemleak:latest
    Limits:
      cpu:          100m
      memory:       50Mi
    State:          Running
      Started:      Tue, 07 Jul 2019 12:54:41 -0700
    Last State:     Terminated
      Reason:       OOMKilled
      Exit Code:    137
      Started:      Fri, 07 Jul 2019 12:54:30 -0700
      Finished:     Fri, 07 Jul 2019 12:54:33 -0700
    Ready:          False
    Restart Count:  5
Conditions:
  Type      Status
  Ready     False
Events:
  Type    Reason     Age   From               Message
  ----    ------     ----  ----               -------
  Normal  Scheduled  42s   default-scheduler  Successfully assigned simmemleak-hra99 to kubernetes-node-tf0f
  Normal  Pulled     41s   kubelet            Container image "saadali/simmemleak:latest" already present on machine
  Normal  Created    41s   kubelet            Created container simmemleak
  Normal  Started    40s   kubelet            Started container simmemleak
  Normal  Killing    32s   kubelet            Killing container with id ead3fb35-5cf5-44ed-9ae1-488115be66c6: Need to kill Pod

Response: This text code Resource Management for Pods and Containers | In the preceding example, the Restart Count: 5 indicates that the simmemleak container in the Pod was terminated and restarted five times (so far). The OOMKilled reason shows that the container tried


Prompt:
Complete this yaml code:

---
apiVersion: v1
kind: Pod
metadata:
  name: frontend
spec:
  containers:
  - name: app
    image: images.my-company.example/app:v4
    resources:
      requests:
        memory: "64Mi"

Response:
        cpu: "250m"
      limits:
        memory: "128Mi"
        cpu: "500m"
  - name: log-aggregator
    image: images.my-company.example/log-aggregator:v6
    resources:
      requests:
        memory: "64Mi"
        cpu: "250m"
      limits:
        memory: "128Mi"
        cpu: "500m"


Prompt:
Explain this yaml code:

---
apiVersion: v1
kind: Pod
metadata:
  name: frontend
spec:
  containers:
  - name: app
    image: images.my-company.example/app:v4
    resources:
      requests:
        memory: "64Mi"
        cpu: "250m"
      limits:
        memory: "128Mi"
        cpu: "500m"
  - name: log-aggregator
    image: images.my-company.example/log-aggregator:v6
    resources:
      requests:
        memory: "64Mi"
        cpu: "250m"
      limits:
        memory: "128Mi"
        cpu: "500m"

Response: This yaml code Resource Management for Pods and Containers | This feature can be enabled by setting the PodLevelResources feature gate. The following Pod has an explicit request of 1 CPU and 100 MiB of memory, and an explicit limit of 1 CPU and 200 MiB of memor


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 Resource Management for Pods and Containers | When you create a Pod, the Kubernetes scheduler selects a node for the Pod to run on. Each node has a maximum capacity for each of the resource types: the amount of CPU and memory it can provide for P


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 Resource Management for Pods and Containers | When you create a Pod, the Kubernetes scheduler selects a node for the Pod to run on. Each node has a maximum capacity for each of the resource types: the amount of CPU and memory it can provide for P


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: frontend
spec:
  containers:
  - name: app
    image: images.my-company.example/app:v4
    resources:
      requests:
        ephemeral-storage: "2Gi"
      limits:
        ephemeral-storage: "4Gi"
    volumeMounts:
    - name: ephemeral

Response:
      mountPath: "/tmp"
  - name: log-aggregator
    image: images.my-company.example/log-aggregator:v6
    resources:
      requests:
        ephemeral-storage: "2Gi"
      limits:
        ephemeral-storage: "4Gi"
    volumeMounts:
    - name: ephemeral
      mountPath: "/tmp"
  volumes:
    - name: ephemeral
      emptyDir:
        sizeLimit: 500Mi


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: frontend
spec:
  containers:
  - name: app
    image: images.my-company.example/app:v4
    resources:
      requests:
        ephemeral-storage: "2Gi"
      limits:
        ephemeral-storage: "4Gi"
    volumeMounts:
    - name: ephemeral
      mountPath: "/tmp"
  - name: log-aggregator
    image: images.my-company.example/log-aggregator:v6
    resources:
      requests:
        ephemeral-storage: "2Gi"
      limits:
        ephemeral-storage: "4Gi"
    volumeMounts:
    - name: ephemeral
      mountPath: "/tmp"
  volumes:
    - name: ephemeral
      emptyDir:
        sizeLimit: 500Mi

Response: This yaml code Resource Management for Pods and Containers | When you create a Pod, the Kubernetes scheduler selects a node for the Pod to run on. Each node has a maximum amount of local ephemeral storage it can provide for Pods. For more information, see Node


Prompt:
Explain this text code:

# For ext4, with /dev/block-device not mounted
sudo tune2fs -O project -Q prjquota /dev/block-device

Response: This text code Resource Management for Pods and Containers | Ensure that the root filesystem (or optional runtime filesystem) is mounted with project quotas enabled. For both XFS and ext4fs, the mount option is named prjquota.


Prompt:
Complete this text code:

curl --header "Content-Type: application/json-patch+json" \
--request PATCH \

Response:
--data '[{"op": "add", "path": "/status/capacity/example.com~1foo", "value": "5"}]' \
http://k8s-master:8080/api/v1/nodes/k8s-node-1/status


Prompt:
Explain this text code:

curl --header "Content-Type: application/json-patch+json" \
--request PATCH \
--data '[{"op": "add", "path": "/status/capacity/example.com~1foo", "value": "5"}]' \
http://k8s-master:8080/api/v1/nodes/k8s-node-1/status

Response: This text code Resource Management for Pods and Containers | Cluster-level extended resources are not tied to nodes. They are usually managed by scheduler extenders, which handle the resource consumption and resource quota.


Prompt:
Complete this json code:

{
  "kind": "Policy",
  "apiVersion": "v1",
  "extenders": [
    {
      "urlPrefix":"<extender-endpoint>",
      "bindVerb": "bind",
      "managedResources": [

Response:
        {
          "name": "example.com/foo",
          "ignoredByScheduler": true
        }
      ]
    }
  ]
}


Prompt:
Explain this json code:

{
  "kind": "Policy",
  "apiVersion": "v1",
  "extenders": [
    {
      "urlPrefix":"<extender-endpoint>",
      "bindVerb": "bind",
      "managedResources": [
        {
          "name": "example.com/foo",
          "ignoredByScheduler": true
        }
      ]
    }
  ]
}

Response: This json code Resource Management for Pods and Containers | Extended resources allocation by DRA allows cluster administrators to specify an extendedResourceName in DeviceClass, then the devices matching the DeviceClass can be requested from a pod's extended r


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: my-pod
spec:
  containers:
  - name: my-container

Response:
    image: myimage
    resources:
      requests:
        cpu: 2
        example.com/foo: 1
      limits:
        example.com/foo: 1


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: my-pod
spec:
  containers:
  - name: my-container
    image: myimage
    resources:
      requests:
        cpu: 2
        example.com/foo: 1
      limits:
        example.com/foo: 1

Response: This yaml code Resource Management for Pods and Containers | Process ID (PID) limits allow for the configuration of a kubelet to limit the number of PIDs that a given Pod can consume. See PID Limiting for information.


Prompt:
Explain this bash code:

kubectl describe pod frontend | grep -A 9999999999 Events

Response: This bash code Resource Management for Pods and Containers | In the preceding example, the Pod named "frontend" fails to be scheduled due to insufficient CPU resource on any node. Similar error messages can also suggest failure due to insufficient memory (PodEx


Prompt:
Complete this yaml code:

apiVersion: v1
kind: LimitRange
metadata:
  name: cpu-min-max-demo-lr
spec:

Response:
  limits:
  - max:
      cpu: "800m"
    min:
      cpu: "200m"
    type: Container

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | Create the LimitRange:


Prompt:
Explain this yaml code:

apiVersion: v1
kind: LimitRange
metadata:
  name: cpu-min-max-demo-lr
spec:
  limits:
  - max:
      cpu: "800m"
    min:
      cpu: "200m"
    type: Container

Response: This yaml code Configure Minimum and Maximum CPU Constraints for a Namespace | Create the LimitRange:


Prompt:
Explain this bash code:

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

Response: This bash code Configure Minimum and Maximum CPU Constraints for a Namespace | View detailed information about the LimitRange:

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | View detailed information about the LimitRange:


Prompt:
Explain this bash code:

kubectl get limitrange cpu-min-max-demo-lr --output=yaml --namespace=constraints-cpu-example

Response: This bash code Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows the minimum and maximum CPU constraints as expected. But notice that even though you didn't specify default values in the configuration file for the LimitRange, they were created auto

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows the minimum and maximum CPU constraints as expected. But notice that even though you didn't specify default values in the configuration file for the LimitRange, they were created auto


Prompt:
Complete this text code:

limits:
- default:
    cpu: 800m
  defaultRequest:
    cpu: 800m

Response:
  max:
    cpu: 800m
  min:
    cpu: 200m
  type: Container

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | Now whenever you create a Pod in the constraints-cpu-example namespace (or some other client of the Kubernetes API creates an equivalent Pod), Kubernetes performs these steps:


Prompt:
Explain this text code:

limits:
- default:
    cpu: 800m
  defaultRequest:
    cpu: 800m
  max:
    cpu: 800m
  min:
    cpu: 200m
  type: Container

Response: This text code Configure Minimum and Maximum CPU Constraints for a Namespace | Now whenever you create a Pod in the constraints-cpu-example namespace (or some other client of the Kubernetes API creates an equivalent Pod), Kubernetes performs these steps:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: constraints-cpu-demo
spec:
  containers:

Response:
  - name: constraints-cpu-demo-ctr
    image: nginx
    resources:
      limits:
        cpu: "800m"
      requests:
        cpu: "500m"

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | Create the Pod:


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: constraints-cpu-demo
spec:
  containers:
  - name: constraints-cpu-demo-ctr
    image: nginx
    resources:
      limits:
        cpu: "800m"
      requests:
        cpu: "500m"

Response: This yaml code Configure Minimum and Maximum CPU Constraints for a Namespace | Create the Pod:


Prompt:
Explain this bash code:

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

Response: This bash code Configure Minimum and Maximum CPU Constraints for a Namespace | Verify that the Pod is running and that its container is healthy:

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | Verify that the Pod is running and that its container is healthy:


Prompt:
Explain this bash code:

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

Response: This bash code Configure Minimum and Maximum CPU Constraints for a Namespace | View detailed information about the Pod:

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | View detailed information about the Pod:


Prompt:
Explain this bash code:

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

Response: This bash code Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows that the Pod's only container has a CPU request of 500 millicpu and CPU limit of 800 millicpu. These satisfy the constraints imposed by the LimitRange.

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows that the Pod's only container has a CPU request of 500 millicpu and CPU limit of 800 millicpu. These satisfy the constraints imposed by the LimitRange.


Prompt:
Complete this text code:

resources:
  limits:

Response:
    cpu: 800m
  requests:
    cpu: 500m

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | Here's a manifest for a Pod that has one container. The container specifies a CPU request of 500 millicpu and a cpu limit of 1.5 cpu.


Prompt:
Explain this text code:

resources:
  limits:
    cpu: 800m
  requests:
    cpu: 500m

Response: This text code Configure Minimum and Maximum CPU Constraints for a Namespace | Here's a manifest for a Pod that has one container. The container specifies a CPU request of 500 millicpu and a cpu limit of 1.5 cpu.


Prompt:
Explain this bash code:

kubectl delete pod constraints-cpu-demo --namespace=constraints-cpu-example

Response: This bash code Configure Minimum and Maximum CPU Constraints for a Namespace | Here's a manifest for a Pod that has one container. The container specifies a CPU request of 500 millicpu and a cpu limit of 1.5 cpu.


Prompt:
Complete this yaml code:

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

Response:
  - name: constraints-cpu-demo-2-ctr
    image: nginx
    resources:
      limits:
        cpu: "1.5"
      requests:
        cpu: "500m"

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | Attempt to create the Pod:


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: constraints-cpu-demo-2
spec:
  containers:
  - name: constraints-cpu-demo-2-ctr
    image: nginx
    resources:
      limits:
        cpu: "1.5"
      requests:
        cpu: "500m"

Response: This yaml code Configure Minimum and Maximum CPU Constraints for a Namespace | Attempt to create the Pod:


Prompt:
Explain this bash code:

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

Response: This bash code Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows that the Pod does not get created, because it defines an unacceptable container. That container is not acceptable because it specifies a CPU limit that is too large:

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows that the Pod does not get created, because it defines an unacceptable container. That container is not acceptable because it specifies a CPU limit that is too large:


Prompt:
Explain this text code:

Error from server (Forbidden): error when creating "examples/admin/resource/cpu-constraints-pod-2.yaml":
pods "constraints-cpu-demo-2" is forbidden: maximum cpu usage per Container is 800m, but limit is 1500m.

Response: This text code Configure Minimum and Maximum CPU Constraints for a Namespace | Here's a manifest for a Pod that has one container. The container specifies a CPU request of 100 millicpu and a CPU limit of 800 millicpu.

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | Here's a manifest for a Pod that has one container. The container specifies a CPU request of 100 millicpu and a CPU limit of 800 millicpu.


Prompt:
Complete this yaml code:

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

Response:
  - name: constraints-cpu-demo-3-ctr
    image: nginx
    resources:
      limits:
        cpu: "800m"
      requests:
        cpu: "100m"


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: constraints-cpu-demo-3
spec:
  containers:
  - name: constraints-cpu-demo-3-ctr
    image: nginx
    resources:
      limits:
        cpu: "800m"
      requests:
        cpu: "100m"

Response: This yaml code Configure Minimum and Maximum CPU Constraints for a Namespace | Attempt to create the Pod:


Prompt:
Explain this bash code:

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

Response: This bash code Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows that the Pod does not get created, because it defines an unacceptable container. That container is not acceptable because it specifies a CPU request that is lower than the enforced mi

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows that the Pod does not get created, because it defines an unacceptable container. That container is not acceptable because it specifies a CPU request that is lower than the enforced mi


Prompt:
Explain this text code:

Error from server (Forbidden): error when creating "examples/admin/resource/cpu-constraints-pod-3.yaml":
pods "constraints-cpu-demo-3" is forbidden: minimum cpu usage per Container is 200m, but request is 100m.

Response: This text code Configure Minimum and Maximum CPU Constraints for a Namespace | Here's a manifest for a Pod that has one container. The container does not specify a CPU request, nor does it specify a CPU limit.

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | Here's a manifest for a Pod that has one container. The container does not specify a CPU request, nor does it specify a CPU limit.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: constraints-cpu-demo-4

Response:
spec:
  containers:
  - name: constraints-cpu-demo-4-ctr
    image: vish/stress


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: constraints-cpu-demo-4
spec:
  containers:
  - name: constraints-cpu-demo-4-ctr
    image: vish/stress

Response: This yaml code Configure Minimum and Maximum CPU Constraints for a Namespace | Create the Pod:


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/admin/resource/cpu-constraints-pod-4.yaml --namespace=constraints-cpu-example

Response: This bash code Configure Minimum and Maximum CPU Constraints for a Namespace | View detailed information about the Pod:


Prompt:
Explain this bash code:

kubectl get pod constraints-cpu-demo-4 --namespace=constraints-cpu-example --output=yaml

Response: This bash code Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows that the Pod's single container has a CPU request of 800 millicpu and a CPU limit of 800 millicpu. How did that container get those values?

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows that the Pod's single container has a CPU request of 800 millicpu and a CPU limit of 800 millicpu. How did that container get those values?


Prompt:
Complete this text code:

resources:
  limits:

Response:
    cpu: 800m
  requests:
    cpu: 800m

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | Because that container did not specify its own CPU request and limit, the control plane applied the default CPU request and limit from the LimitRange for this namespace.


Prompt:
Explain this text code:

resources:
  limits:
    cpu: 800m
  requests:
    cpu: 800m

Response: This text code Configure Minimum and Maximum CPU Constraints for a Namespace | Because that container did not specify its own CPU request and limit, the control plane applied the default CPU request and limit from the LimitRange for this namespace.


Prompt:
Explain this bash code:

kubectl delete pod constraints-cpu-demo-4 --namespace=constraints-cpu-example

Response: This bash code Configure Minimum and Maximum CPU Constraints for a Namespace | The maximum and minimum CPU constraints imposed on a namespace by a LimitRange are enforced only when a Pod is created or updated. If you change the LimitRange, it does not affect Pods that were creat

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | The maximum and minimum CPU constraints imposed on a namespace by a LimitRange are enforced only when a Pod is created or updated. If you change the LimitRange, it does not affect Pods that were creat


Prompt:
Complete this yaml code:

apiVersion: v1
kind: LimitRange
metadata:
  name: cpu-min-max-demo-lr
spec:

Response:
  limits:
  - max:
      cpu: "800m"
    min:
      cpu: "200m"
    type: Container

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | Create the LimitRange:


Prompt:
Explain this yaml code:

apiVersion: v1
kind: LimitRange
metadata:
  name: cpu-min-max-demo-lr
spec:
  limits:
  - max:
      cpu: "800m"
    min:
      cpu: "200m"
    type: Container

Response: This yaml code Configure Minimum and Maximum CPU Constraints for a Namespace | Create the LimitRange:


Prompt:
Explain this shell code:

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

Response: This shell code Configure Minimum and Maximum CPU Constraints for a Namespace | View detailed information about the LimitRange:

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | View detailed information about the LimitRange:


Prompt:
Explain this shell code:

kubectl get limitrange cpu-min-max-demo-lr --output=yaml --namespace=constraints-cpu-example

Response: This shell code Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows the minimum and maximum CPU constraints as expected. But notice that even though you didn't specify default values in the configuration file for the LimitRange, they were created auto

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows the minimum and maximum CPU constraints as expected. But notice that even though you didn't specify default values in the configuration file for the LimitRange, they were created auto


Prompt:
Complete this yaml code:

limits:
- default:
    cpu: 800m
  defaultRequest:
    cpu: 800m

Response:
  max:
    cpu: 800m
  min:
    cpu: 200m
  type: Container

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | Now whenever you create a Pod in the constraints-cpu-example namespace (or some other client of the Kubernetes API creates an equivalent Pod), Kubernetes performs these steps:


Prompt:
Explain this yaml code:

limits:
- default:
    cpu: 800m
  defaultRequest:
    cpu: 800m
  max:
    cpu: 800m
  min:
    cpu: 200m
  type: Container

Response: This yaml code Configure Minimum and Maximum CPU Constraints for a Namespace | Now whenever you create a Pod in the constraints-cpu-example namespace (or some other client of the Kubernetes API creates an equivalent Pod), Kubernetes performs these steps:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: constraints-cpu-demo
spec:
  containers:

Response:
  - name: constraints-cpu-demo-ctr
    image: nginx
    resources:
      limits:
        cpu: "800m"
      requests:
        cpu: "500m"

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | Create the Pod:


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: constraints-cpu-demo
spec:
  containers:
  - name: constraints-cpu-demo-ctr
    image: nginx
    resources:
      limits:
        cpu: "800m"
      requests:
        cpu: "500m"

Response: This yaml code Configure Minimum and Maximum CPU Constraints for a Namespace | Create the Pod:


Prompt:
Explain this shell code:

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

Response: This shell code Configure Minimum and Maximum CPU Constraints for a Namespace | Verify that the Pod is running and that its container is healthy:

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | Verify that the Pod is running and that its container is healthy:


Prompt:
Explain this shell code:

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

Response: This shell code Configure Minimum and Maximum CPU Constraints for a Namespace | View detailed information about the Pod:

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | View detailed information about the Pod:


Prompt:
Explain this shell code:

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

Response: This shell code Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows that the Pod's only container has a CPU request of 500 millicpu and CPU limit of 800 millicpu. These satisfy the constraints imposed by the LimitRange.

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows that the Pod's only container has a CPU request of 500 millicpu and CPU limit of 800 millicpu. These satisfy the constraints imposed by the LimitRange.


Prompt:
Complete this yaml code:

resources:
  limits:

Response:
    cpu: 800m
  requests:
    cpu: 500m

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | Here's a manifest for a Pod that has one container. The container specifies a CPU request of 500 millicpu and a cpu limit of 1.5 cpu.


Prompt:
Explain this yaml code:

resources:
  limits:
    cpu: 800m
  requests:
    cpu: 500m

Response: This yaml code Configure Minimum and Maximum CPU Constraints for a Namespace | Here's a manifest for a Pod that has one container. The container specifies a CPU request of 500 millicpu and a cpu limit of 1.5 cpu.


Prompt:
Explain this shell code:

kubectl delete pod constraints-cpu-demo --namespace=constraints-cpu-example

Response: This shell code Configure Minimum and Maximum CPU Constraints for a Namespace | Here's a manifest for a Pod that has one container. The container specifies a CPU request of 500 millicpu and a cpu limit of 1.5 cpu.


Prompt:
Complete this yaml code:

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

Response:
  - name: constraints-cpu-demo-2-ctr
    image: nginx
    resources:
      limits:
        cpu: "1.5"
      requests:
        cpu: "500m"

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | Attempt to create the Pod:


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: constraints-cpu-demo-2
spec:
  containers:
  - name: constraints-cpu-demo-2-ctr
    image: nginx
    resources:
      limits:
        cpu: "1.5"
      requests:
        cpu: "500m"

Response: This yaml code Configure Minimum and Maximum CPU Constraints for a Namespace | Attempt to create the Pod:


Prompt:
Explain this shell code:

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

Response: This shell code Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows that the Pod does not get created, because it defines an unacceptable container. That container is not acceptable because it specifies a CPU limit that is too large:

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows that the Pod does not get created, because it defines an unacceptable container. That container is not acceptable because it specifies a CPU limit that is too large:


Prompt:
Explain this text code:

Error from server (Forbidden): error when creating "examples/admin/resource/cpu-constraints-pod-2.yaml":
pods "constraints-cpu-demo-2" is forbidden: maximum cpu usage per Container is 800m, but limit is 1500m.

Response: This text code Configure Minimum and Maximum CPU Constraints for a Namespace | Here's a manifest for a Pod that has one container. The container specifies a CPU request of 100 millicpu and a CPU limit of 800 millicpu.

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | Here's a manifest for a Pod that has one container. The container specifies a CPU request of 100 millicpu and a CPU limit of 800 millicpu.


Prompt:
Complete this yaml code:

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

Response:
  - name: constraints-cpu-demo-3-ctr
    image: nginx
    resources:
      limits:
        cpu: "800m"
      requests:
        cpu: "100m"


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: constraints-cpu-demo-3
spec:
  containers:
  - name: constraints-cpu-demo-3-ctr
    image: nginx
    resources:
      limits:
        cpu: "800m"
      requests:
        cpu: "100m"

Response: This yaml code Configure Minimum and Maximum CPU Constraints for a Namespace | Attempt to create the Pod:


Prompt:
Explain this shell code:

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

Response: This shell code Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows that the Pod does not get created, because it defines an unacceptable container. That container is not acceptable because it specifies a CPU request that is lower than the enforced mi

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows that the Pod does not get created, because it defines an unacceptable container. That container is not acceptable because it specifies a CPU request that is lower than the enforced mi


Prompt:
Explain this text code:

Error from server (Forbidden): error when creating "examples/admin/resource/cpu-constraints-pod-3.yaml":
pods "constraints-cpu-demo-3" is forbidden: minimum cpu usage per Container is 200m, but request is 100m.

Response: This text code Configure Minimum and Maximum CPU Constraints for a Namespace | Here's a manifest for a Pod that has one container. The container does not specify a CPU request, nor does it specify a CPU limit.

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | Here's a manifest for a Pod that has one container. The container does not specify a CPU request, nor does it specify a CPU limit.


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: constraints-cpu-demo-4

Response:
spec:
  containers:
  - name: constraints-cpu-demo-4-ctr
    image: vish/stress


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: constraints-cpu-demo-4
spec:
  containers:
  - name: constraints-cpu-demo-4-ctr
    image: vish/stress

Response: This yaml code Configure Minimum and Maximum CPU Constraints for a Namespace | Create the Pod:


Prompt:
Explain this shell code:

kubectl apply -f https://k8s.io/examples/admin/resource/cpu-constraints-pod-4.yaml --namespace=constraints-cpu-example

Response: This shell code Configure Minimum and Maximum CPU Constraints for a Namespace | View detailed information about the Pod:


Prompt:
Explain this bash code:

kubectl get pod constraints-cpu-demo-4 --namespace=constraints-cpu-example --output=yaml

Response: This bash code Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows that the Pod's single container has a CPU request of 800 millicpu and a CPU limit of 800 millicpu. How did that container get those values?

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows that the Pod's single container has a CPU request of 800 millicpu and a CPU limit of 800 millicpu. How did that container get those values?


Prompt:
Complete this yaml code:

resources:
  limits:

Response:
    cpu: 800m
  requests:
    cpu: 800m

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | Because that container did not specify its own CPU request and limit, the control plane applied the default CPU request and limit from the LimitRange for this namespace.


Prompt:
Explain this yaml code:

resources:
  limits:
    cpu: 800m
  requests:
    cpu: 800m

Response: This yaml code Configure Minimum and Maximum CPU Constraints for a Namespace | Because that container did not specify its own CPU request and limit, the control plane applied the default CPU request and limit from the LimitRange for this namespace.


Prompt:
Explain this bash code:

kubectl delete pod constraints-cpu-demo-4 --namespace=constraints-cpu-example

Response: This bash code Configure Minimum and Maximum CPU Constraints for a Namespace | The maximum and minimum CPU constraints imposed on a namespace by a LimitRange are enforced only when a Pod is created or updated. If you change the LimitRange, it does not affect Pods that were creat

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | The maximum and minimum CPU constraints imposed on a namespace by a LimitRange are enforced only when a Pod is created or updated. If you change the LimitRange, it does not affect Pods that were creat


Prompt:
Complete this yaml code:

admin/resource/cpu-constraints.yaml
apiVersion: v1
kind: LimitRange
metadata:
  name: cpu-min-max-demo-lr
spec:

Response:
  limits:
  - max:
      cpu: "800m"
    min:
      cpu: "200m"
    type: Container

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | Create the LimitRange:


Prompt:
Explain this yaml code:

admin/resource/cpu-constraints.yaml
apiVersion: v1
kind: LimitRange
metadata:
  name: cpu-min-max-demo-lr
spec:
  limits:
  - max:
      cpu: "800m"
    min:
      cpu: "200m"
    type: Container

Response: This yaml code Configure Minimum and Maximum CPU Constraints for a Namespace | Create the LimitRange:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: LimitRange
metadata:
  name: cpu-min-max-demo-lr
spec:

Response:
  limits:
  - max:
      cpu: "800m"
    min:
      cpu: "200m"
    type: Container


Prompt:
Explain this yaml code:

apiVersion: v1
kind: LimitRange
metadata:
  name: cpu-min-max-demo-lr
spec:
  limits:
  - max:
      cpu: "800m"
    min:
      cpu: "200m"
    type: Container

Response: This yaml code Configure Minimum and Maximum CPU Constraints for a Namespace | Create the LimitRange:


Prompt:
Explain this bash code:

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

Response: This bash code Configure Minimum and Maximum CPU Constraints for a Namespace | View detailed information about the LimitRange:

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | View detailed information about the LimitRange:


Prompt:
Explain this bash code:

kubectl get limitrange cpu-min-max-demo-lr --output=yaml --namespace=constraints-cpu-example

Response: This bash code Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows the minimum and maximum CPU constraints as expected. But notice that even though you didn't specify default values in the configuration file for the LimitRange, they were created auto

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows the minimum and maximum CPU constraints as expected. But notice that even though you didn't specify default values in the configuration file for the LimitRange, they were created auto


Prompt:
Complete this text code:

limits:
- default:
    cpu: 800m
  defaultRequest:
    cpu: 800m

Response:
  max:
    cpu: 800m
  min:
    cpu: 200m
  type: Container

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | Now whenever you create a Pod in the constraints-cpu-example namespace (or some other client of the Kubernetes API creates an equivalent Pod), Kubernetes performs these steps:


Prompt:
Explain this text code:

limits:
- default:
    cpu: 800m
  defaultRequest:
    cpu: 800m
  max:
    cpu: 800m
  min:
    cpu: 200m
  type: Container

Response: This text code Configure Minimum and Maximum CPU Constraints for a Namespace | Now whenever you create a Pod in the constraints-cpu-example namespace (or some other client of the Kubernetes API creates an equivalent Pod), Kubernetes performs these steps:


Prompt:
Complete this yaml code:

admin/resource/cpu-constraints-pod.yaml
apiVersion: v1
kind: Pod
metadata:
  name: constraints-cpu-demo
spec:
  containers:

Response:
  - name: constraints-cpu-demo-ctr
    image: nginx
    resources:
      limits:
        cpu: "800m"
      requests:
        cpu: "500m"

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | Create the Pod:


Prompt:
Explain this yaml code:

admin/resource/cpu-constraints-pod.yaml
apiVersion: v1
kind: Pod
metadata:
  name: constraints-cpu-demo
spec:
  containers:
  - name: constraints-cpu-demo-ctr
    image: nginx
    resources:
      limits:
        cpu: "800m"
      requests:
        cpu: "500m"

Response: This yaml code Configure Minimum and Maximum CPU Constraints for a Namespace | Create the Pod:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: constraints-cpu-demo
spec:
  containers:

Response:
  - name: constraints-cpu-demo-ctr
    image: nginx
    resources:
      limits:
        cpu: "800m"
      requests:
        cpu: "500m"


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: constraints-cpu-demo
spec:
  containers:
  - name: constraints-cpu-demo-ctr
    image: nginx
    resources:
      limits:
        cpu: "800m"
      requests:
        cpu: "500m"

Response: This yaml code Configure Minimum and Maximum CPU Constraints for a Namespace | Create the Pod:


Prompt:
Explain this bash code:

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

Response: This bash code Configure Minimum and Maximum CPU Constraints for a Namespace | Verify that the Pod is running and that its container is healthy:

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | Verify that the Pod is running and that its container is healthy:


Prompt:
Explain this bash code:

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

Response: This bash code Configure Minimum and Maximum CPU Constraints for a Namespace | View detailed information about the Pod:

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | View detailed information about the Pod:


Prompt:
Explain this bash code:

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

Response: This bash code Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows that the Pod's only container has a CPU request of 500 millicpu and CPU limit of 800 millicpu. These satisfy the constraints imposed by the LimitRange.

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows that the Pod's only container has a CPU request of 500 millicpu and CPU limit of 800 millicpu. These satisfy the constraints imposed by the LimitRange.


Prompt:
Complete this text code:

resources:
  limits:

Response:
    cpu: 800m
  requests:
    cpu: 500m

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | Here's a manifest for a Pod that has one container. The container specifies a CPU request of 500 millicpu and a cpu limit of 1.5 cpu.


Prompt:
Explain this text code:

resources:
  limits:
    cpu: 800m
  requests:
    cpu: 500m

Response: This text code Configure Minimum and Maximum CPU Constraints for a Namespace | Here's a manifest for a Pod that has one container. The container specifies a CPU request of 500 millicpu and a cpu limit of 1.5 cpu.


Prompt:
Explain this bash code:

kubectl delete pod constraints-cpu-demo --namespace=constraints-cpu-example

Response: This bash code Configure Minimum and Maximum CPU Constraints for a Namespace | Here's a manifest for a Pod that has one container. The container specifies a CPU request of 500 millicpu and a cpu limit of 1.5 cpu.


Prompt:
Complete this yaml code:

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

Response:
  - name: constraints-cpu-demo-2-ctr
    image: nginx
    resources:
      limits:
        cpu: "1.5"
      requests:
        cpu: "500m"

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | Attempt to create the Pod:


Prompt:
Explain this yaml code:

admin/resource/cpu-constraints-pod-2.yaml
apiVersion: v1
kind: Pod
metadata:
  name: constraints-cpu-demo-2
spec:
  containers:
  - name: constraints-cpu-demo-2-ctr
    image: nginx
    resources:
      limits:
        cpu: "1.5"
      requests:
        cpu: "500m"

Response: This yaml code Configure Minimum and Maximum CPU Constraints for a Namespace | Attempt to create the Pod:


Prompt:
Complete this yaml code:

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

Response:
  - name: constraints-cpu-demo-2-ctr
    image: nginx
    resources:
      limits:
        cpu: "1.5"
      requests:
        cpu: "500m"


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: constraints-cpu-demo-2
spec:
  containers:
  - name: constraints-cpu-demo-2-ctr
    image: nginx
    resources:
      limits:
        cpu: "1.5"
      requests:
        cpu: "500m"

Response: This yaml code Configure Minimum and Maximum CPU Constraints for a Namespace | Attempt to create the Pod:


Prompt:
Explain this bash code:

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

Response: This bash code Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows that the Pod does not get created, because it defines an unacceptable container. That container is not acceptable because it specifies a CPU limit that is too large:

Context: Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows that the Pod does not get created, because it defines an unacceptable container. That container is not acceptable because it specifies a CPU limit that is too large:


Prompt:
Complete this yaml code:

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

Response:
  - name: constraints-cpu-demo-3-ctr
    image: nginx
    resources:
      limits:
        cpu: "800m"
      requests:
        cpu: "100m"


Prompt:
Explain this yaml code:

admin/resource/cpu-constraints-pod-3.yaml
apiVersion: v1
kind: Pod
metadata:
  name: constraints-cpu-demo-3
spec:
  containers:
  - name: constraints-cpu-demo-3-ctr
    image: nginx
    resources:
      limits:
        cpu: "800m"
      requests:
        cpu: "100m"

Response: This yaml code Configure Minimum and Maximum CPU Constraints for a Namespace | Attempt to create the Pod:


Prompt:
Complete this yaml code:

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

Response:
  - name: constraints-cpu-demo-3-ctr
    image: nginx
    resources:
      limits:
        cpu: "800m"
      requests:
        cpu: "100m"


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: constraints-cpu-demo-3
spec:
  containers:
  - name: constraints-cpu-demo-3-ctr
    image: nginx
    resources:
      limits:
        cpu: "800m"
      requests:
        cpu: "100m"

Response: This yaml code Configure Minimum and Maximum CPU Constraints for a Namespace | Attempt to create the Pod:


Prompt:
Explain this bash code:

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

Response: This bash code Configure Minimum and Maximum CPU Constraints for a Namespace | The output shows that the Pod does not get created, because it defines an unacceptable container. That container is not acceptable because it specifies a CPU request that is lower than the enforced mi


Prompt:
Complete this yaml code:

admin/resource/cpu-constraints-pod-4.yaml
apiVersion: v1
kind: Pod
metadata:

Response:
  name: constraints-cpu-demo-4
spec:
  containers:
  - name: constraints-cpu-demo-4-ctr
    image: vish/stress


Prompt:
Explain this yaml code:

admin/resource/cpu-constraints-pod-4.yaml
apiVersion: v1
kind: Pod
metadata:
  name: constraints-cpu-demo-4
spec:
  containers:
  - name: constraints-cpu-demo-4-ctr
    image: vish/stress

Response: This yaml code Configure Minimum and Maximum CPU Constraints for a Namespace | Create the Pod:


Prompt:
Complete this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: constraints-cpu-demo-4

Response:
spec:
  containers:
  - name: constraints-cpu-demo-4-ctr
    image: vish/stress


Prompt:
Explain this yaml code:

apiVersion: v1
kind: Pod
metadata:
  name: constraints-cpu-demo-4
spec:
  containers:
  - name: constraints-cpu-demo-4-ctr
    image: vish/stress

Response: This yaml code Configure Minimum and Maximum CPU Constraints for a Namespace | Create the Pod:


Prompt:
Explain this bash code:

kubectl apply -f https://k8s.io/examples/admin/resource/cpu-constraints-pod-4.yaml --namespace=constraints-cpu-example

Response: This bash code Configure Minimum and Maximum CPU Constraints for a Namespace | View detailed information about the Pod:


Prompt:
Complete this text code:

resources:
  limits:

Response:
    cpu: 800m
  requests:
    cpu: 800m


Prompt:
Explain this text code:

resources:
  limits:
    cpu: 800m
  requests:
    cpu: 800m

Response: This text code Configure Minimum and Maximum CPU Constraints for a Namespace | Because that container did not specify its own CPU request and limit, the control plane applied the default CPU request and limit from the LimitRange for this namespace.


Prompt:
Complete this text code:

type: Resource
resource:
  name: cpu

Response:
  target:
    type: Utilization
    averageUtilization: 60

Context: Horizontal Pod Autoscaling | With this metric the HPA controller will keep the average utilization of the pods in the scaling target at 60%. Utilization is the ratio between the current usage of resource to the requested resource


Prompt:
Explain this text code:

type: Resource
resource:
  name: cpu
  target:
    type: Utilization
    averageUtilization: 60

Response: This text code Horizontal Pod Autoscaling | With this metric the HPA controller will keep the average utilization of the pods in the scaling target at 60%. Utilization is the ratio between the current usage of resource to the requested resource


Prompt:
Complete this text code:

type: ContainerResource
containerResource:
  name: cpu

Response:
  container: application
  target:
    type: Utilization
    averageUtilization: 60

Context: Horizontal Pod Autoscaling | In the above example the HPA controller scales the target such that the average utilization of the cpu in the application container of all the pods is 60%.


Prompt:
Explain this text code:

type: ContainerResource
containerResource:
  name: cpu
  container: application
  target:
    type: Utilization
    averageUtilization: 60

Response: This text code Horizontal Pod Autoscaling | In the above example the HPA controller scales the target such that the average utilization of the cpu in the application container of all the pods is 60%.


Prompt:
Complete this text code:

behavior:
  scaleDown:
    policies:
    - type: Pods

Response:
      value: 4
      periodSeconds: 60
    - type: Percent
      value: 10
      periodSeconds: 60

Context: Horizontal Pod Autoscaling | periodSeconds indicates the length of time in the past for which the policy must hold true. The maximum value that you can set for periodSeconds is 1800 (half an hour). The first policy (Pods) allows