Version 1.9. This version is supported as outlined in the Anthos version support policy, offering the latest patches and updates for security vulnerabilities, exposures, and issues impacting Anthos clusters on VMware (GKE on-prem). Refer to the release notes for more details. This is not the most recent version.

Available versions:   1.11    1.10    1.9    Earlier versions

Known issues

This document describes known issues for version 1.9 of Anthos clusters on VMware (GKE on-prem).

ClientConfig custom resource

gkectl update reverts any manual changes that you have made to the ClientConfig custom resource. We strongly recommend that you back up the ClientConfig resource after every manual change.

gkectl check-config validation fails: can't find F5 BIG-IP partitions

Symptoms

Validation fails because F5 BIG-IP partitions can't be found, even though they exist.

Potential causes

An issue with the F5 BIG-IP API can cause validation to fail.

Resolution

Try running gkectl check-config again.

Disruption for workloads with PodDisruptionBudgets

Upgrading clusters can cause disruption or downtime for workloads that use PodDisruptionBudgets (PDBs).

Nodes fail to complete their upgrade process

If you have PodDisruptionBudget objects configured that are unable to allow any additional disruptions, node upgrades might fail to upgrade to the control plane version after repeated attempts. To prevent this failure, we recommend that you scale up the Deployment or HorizontalPodAutoscaler to allow the node to drain while still respecting the PodDisruptionBudget configuration.

To see all PodDisruptionBudget objects that do not allow any disruptions:

kubectl get poddisruptionbudget --all-namespaces -o jsonpath='{range .items[?(@.status.disruptionsAllowed==0)]}{.metadata.name}/{.metadata.namespace}{"\n"}{end}'

User cluster installation failed because of cert-manager/ca-injector's leader election issue

You might see an installation failure due to cert-manager-cainjector in crashloop, when the apiserver/etcd is slow:

# These are logs from `cert-manager-cainjector`, from the command
# `kubectl --kubeconfig USER_CLUSTER_KUBECONFIG -n kube-system cert-manager-cainjector-xxx`

I0923 16:19:27.911174       1 leaderelection.go:278] failed to renew lease kube-system/cert-manager-cainjector-leader-election: timed out waiting for the condition
E0923 16:19:27.911110       1 leaderelection.go:321] error retrieving resource lock kube-system/cert-manager-cainjector-leader-election-core: Get "https://10.96.0.1:443/api/v1/namespaces/kube-system/configmaps/cert-manager-cainjector-leader-election-core": context deadline exceeded
I0923 16:19:27.911593       1 leaderelection.go:278] failed to renew lease kube-system/cert-manager-cainjector-leader-election-core: timed out waiting for the condition
E0923 16:19:27.911629       1 start.go:163] cert-manager/ca-injector "msg"="error running core-only manager" "error"="leader election lost"

Run the following commands to mitigate the problem.

First Scale down the monitoring-operator so it will not revert the changes to the cert-manager Deployment.

kubectl --kubeconfig USER_CLUSTER_KUBECONFIG -n kube-system scale deployment monitoring-operator --replicas=0

Second, edit the cert-manager-cainjector Deployment to disable leader election, because we only have one replica running. It is not required for a single replica.

# Add a command line flag for cainjector: `--leader-elect=false`
kubectl --kubeconfig USER_CLUSTER_KUBECONFIG edit -n kube-system deployment cert-manager-cainjector

The relevant yaml snippet for cert-manager-cainjector deployment should look like this: ... apiVersion: apps/v1 kind: Deployment metadata: name: cert-manager-cainjector namespace: kube-system ... spec: ... template: ... spec: ... containers: - name: cert-manager image: "gcr.io/gke-on-prem-staging/cert-manager-cainjector:v1.0.3-gke.0" args: ... - --leader-elect=false ...

Keep monitoring-operator replicas at 0 as a mitigation until the installation is finished. Otherwise it will revert the change.

After the installation is finished and the cluster is up and running, turn on the monitoring-operator for day-2 operations:

kubectl --kubeconfig USER_CLUSTER_KUBECONFIG -n kube-system scale deployment monitoring-operator --replicas=1

After each upgrade, the changes will be reverted. Perform the same steps again to mitigate the issue until this is fixed in a future release.

Renewal of certificates might be required before an admin cluster upgrade

Before you begin the admin cluster upgrade process, you should make sure that your admin cluster certificates are currently valid, and renew these certificates if they are not.

Admin cluster certificate renewal process

  1. Make sure that OpenSSL is installed on the admin workstation before you begin.

  2. Set the KUBECONFIG variable:

    KUBECONFIG=ABSOLUTE_PATH_ADMIN_CLUSTER_KUBECONFIG

    Replace ABSOLUTE_PATH_ADMIN_CLUSTER_KUBECONFIG with the absolute path to the admin cluster kubeconfig file.

  3. Get the IP address and SSH keys for the admin master node:

    kubectl --kubeconfig "${KUBECONFIG}" get secrets -n kube-system sshkeys \
-o jsonpath='{.data.vsphere_tmp}' | base64 -d > \
~/.ssh/admin-cluster.key && chmod 600 ~/.ssh/admin-cluster.key

export MASTER_NODE_IP=$(kubectl --kubeconfig "${KUBECONFIG}" get nodes -o \
jsonpath='{.items[*].status.addresses[?(@.type=="ExternalIP")].address}' \
--selector='node-role.kubernetes.io/master')

  4. Check if the certificates are expired:

    ssh -i ~/.ssh/admin-cluster.key ubuntu@"${MASTER_NODE_IP}" \
"sudo kubeadm alpha certs check-expiration"

    If the certificates are expired, you must renew them before upgrading the admin cluster.

  5. Back up old certificates:

    This is an optional, but recommended, step.

    # ssh into admin master
ssh -i ~/.ssh/admin-cluster.key ubuntu@"${MASTER_NODE_IP}"

# on admin master
sudo tar -czvf backup.tar.gz /etc/kubernetes
logout

# on worker node
sudo scp -i ~/.ssh/admin-cluster.key \
ubuntu@"${MASTER_NODE_IP}":/home/ubuntu/backup.tar.gz .

  6. Renew the certificates with kubeadm: 

     # ssh into admin master
 ssh -i ~/.ssh/admin-cluster.key ubuntu@"${MASTER_NODE_IP}"
 # on admin master
 sudo kubeadm alpha certs renew all

  7. Restart the admin master node:

      # on admin master
  cd /etc/kubernetes
  sudo mkdir tempdir
  sudo mv manifests/*.yaml tempdir/
  sleep 5
  echo "remove pods"
  # ensure kubelet detect those change remove those pods
  # wait until the result of this command is empty
  sudo docker ps | grep kube-apiserver

  # ensure kubelet start those pods again
  echo "start pods again"
  sudo mv tempdir/*.yaml manifests/
  sleep 30
  # ensure kubelet start those pods again
  # should show some results
  sudo docker ps | grep -e kube-apiserver -e kube-controller-manager -e kube-scheduler -e etcd

  # clean up
  sudo rm -rf tempdir

  logout

  8. Because the admin cluster kubeconfig file also expires if the admin certificates expire, you should back up this file before expiration.

    • Back up the admin cluster kubeconfig file: 

      ssh -i ~/.ssh/admin-cluster.key ubuntu@"${MASTER_NODE_IP}" 
      
"sudo cat /etc/kubernetes/admin.conf" > new_admin.conf
vi "${KUBECONFIG}"

    • Replace client-certificate-data and client-key-data in kubeconfig with client-certificate-data and client-key-data in the new_admin.conf file that you created.

  9. You must validate the renewed certificates, and validate the certificate of kube-apiserver.

    • Check certificates expiration: 

      ssh -i ~/.ssh/admin-cluster.key ubuntu@"${MASTER_NODE_IP}" 
      
"sudo kubeadm alpha certs check-expiration"

    • Check certificate of kube-apiserver: 

      # Get the IP address of kube-apiserver
cat $KUBECONFIG | grep server
# Get the current kube-apiserver certificate
openssl s_client -showcerts -connect : 
      
| sed -ne '/-BEGIN CERTIFICATE-/,/-END CERTIFICATE-/p'  
      
> current-kube-apiserver.crt
# check expiration date of this cert
openssl x509 -in current-kube-apiserver.crt -noout -enddate

Restarting or upgrading vCenter for versions lower than 7.0U2

If the vCenter, for versions lower than 7.0U2, is restarted, after an upgrade or otherwise, the network name in VM Information from vCenter is incorrect, and results in the machine being in an Unavailable state. This eventually leads to the nodes being auto-repaired to create new ones.

Related govmomi bug: https://github.com/vmware/govmomi/issues/2552

This workaround is provided by VMware support:

1. The issue is fixed in vCenter versions 7.0U2 and above.

2. For lower versions:
Right-click the host, and then select Connection > Disconnect. Next, reconnect, which forces an update of the
VM's portgroup.

SSH connection closed by remote host

For Anthos clusters on VMware version 1.7.2 and above, the Ubuntu OS images are hardened with CIS L1 Server Benchmark. To meet the CIS rule "5.2.16 Ensure SSH Idle Timeout Interval is configured", /etc/ssh/sshd_config has the following settings:

ClientAliveInterval 300
ClientAliveCountMax 0

The purpose of these settings is to terminate a client session after 5 minutes of idle time. However, the ClientAliveCountMax 0 value causes unexpected behavior. When you use the ssh session on the admin workstation, or a cluster node, the SSH connection might be disconnected even your ssh client is not idle, such as when running a time-consuming command, and your command could get terminated with the following message:

Connection to [IP] closed by remote host.
Connection to [IP] closed.

As a workaround, you can either:

  • Use nohup to prevent your command being terminated on SSH disconnection,

    nohup gkectl upgrade admin --config admin-cluster.yaml --kubeconfig kubeconfig

  • Update the sshd_config to use a non-zero ClientAliveCountMax value. The CIS rule recommends to use a value less than 3.

    sudo sed -i 's/ClientAliveCountMax 0/ClientAliveCountMax 1/g' /etc/ssh/sshd_config
sudo systemctl restart sshd

    Make sure you reconnect your ssh session.

Conflict with cert-manager when upgrading to a version higher than 1.8.2

If you have your own cert-manager installation with Anthos clusters on VMware, you might experience a failure when you attempt to upgrade to versions 1.8.2 or above. This is a result of a conflict between your version of cert-manager, which is likely installed in the cert-manager namespace, and the monitoring-operator version.

If you try to install another copy of cert-manager after upgrading to Anthos clusters on VMware version 1.8.2 or above, the installation might fail due to a conflict with the existing one managed by monitoring-operator.

The metrics-ca cluster issuer, which control-plane and observability components rely on for creation and rotation of cert secrets, requires a metrics-ca cert secret to be stored in the cluster resource namespace. This namespace is kube-system for the monitoring-operator installation, and likely to be cert-manager for your installation.

If you have experienced an installation failure, follow these steps to upgrade successfully to version 1.8.2 or later:

  1. Uninstall your version of cert-manager.

  2. Perform the upgrade.

  3. If you want to restore your own installation of cert-manager, follow these steps:

    • Scale the monitoring-operator deployment to 0. For the admin cluster, run this command: 

      kubectl --kubeconfig ADMIN_CLUSTER_KUBECONFIG -n kube-system scale deployment monitoring-operator --replicas=0

      For a user cluster, run this command: 

      kubectl --kubeconfig ADMIN_CLUSTER_KUBECONFIG -n USER_CLUSTER_NAME scale deployment monitoring-operator --replicas=0

    • Scale the cert-manager deployments managed by monitoring-operator to 0.

      For the admin cluster, run this command:

      kubectl --kubeconfig ADMIN_CLUSTER_KUBECONFIG -n kube-system scale deployment cert-manager --replicas=0
kubectl --kubeconfig ADMIN_CLUSTER_KUBECONFIG -n kube-system scale deployment cert-manager-cainjector --replicas=0
kubectl --kubeconfig ADMIN_CLUSTER_KUBECONFIG -n kube-system scale deployment cert-manager-webhook --replicas=0

      For a user cluster, run this command:

      kubectl --kubeconfig USER_CLUSTER_KUBECONFIG -n kube-system scale deployment cert-manager --replicas=0
kubectl --kubeconfig USER_CLUSTER_KUBECONFIG -n kube-system scale deployment cert-manager-cainjector --replicas=0
kubectl --kubeconfig USER_CLUSTER_KUBECONFIG -n kube-system scale deployment cert-manager-webhook --replicas=0

    • Reinstall your cert-manager.

    • Copy the metrics-ca cert-manager.io/v1 Certificate and the metrics-pki.cluster.local Issuer resources from kube-system to the cluster resource namespace of your installed cert-manager. This namespace might be cert-manager if using the upstream cert-manager release, such as v1.0.3, but that depends on your installation.

Managing a third-party cert-manager when upgrading to version 1.9.2 or higher

If you have experienced an installation failure, follow these steps to upgrade successfully to version 1.9.2 or later:

  1. Uninstall your version of cert-manager.

  2. Perform the upgrade.

  3. If you want to restore your own installation of cert-manager, follow these steps:

    • Scale the monitoring-operator deployment to 0. For the admin cluster, run this command: 

      kubectl --kubeconfig ADMIN_CLUSTER_KUBECONFIG -n kube-system scale deployment monitoring-operator --replicas=0

      For a user cluster, run this command: 

      kubectl --kubeconfig ADMIN_CLUSTER_KUBECONFIG -n USER_CLUSTER_NAME scale deployment monitoring-operator --replicas=0

    • Scale the cert-manager deployments managed by monitoring-operator to 0.

      For the admin cluster, run this command:

      kubectl --kubeconfig ADMIN_CLUSTER_KUBECONFIG -n cert-manager scale deployment cert-manager --replicas=0
kubectl --kubeconfig ADMIN_CLUSTER_KUBECONFIG -n cert-manager scale deployment cert-manager-cainjector --replicas=0
kubectl --kubeconfig ADMIN_CLUSTER_KUBECONFIG -n cert-manager scale deployment cert-manager-webhook --replicas=0

      For a user cluster, run this command:

      kubectl --kubeconfig USER_CLUSTER_KUBECONFIG -n cert-manager scale deployment cert-manager --replicas=0
kubectl --kubeconfig USER_CLUSTER_KUBECONFIG -n cert-manager scale deployment cert-manager-cainjector --replicas=0
kubectl --kubeconfig USER_CLUSTER_KUBECONFIG -n cert-manager scale deployment cert-manager-webhook --replicas=0

    • Reinstall your cert-manager.

    • Copy the metrics-ca cert-manager.io/v1 Certificate and the metrics-pki.cluster.local Issuer resources from cert-manager to the cluster resource namespace of your installed cert-manager. This namespace might be cert-manager if using the upstream cert-manager release, such as v1.5.4, but that depends on your installation.

False positives in docker, containerd, and runc vulnerability scanning

The docker, containerd, and runc in the Ubuntu OS images shipped with Anthos clusters on VMware are pinned to special versions using Ubuntu PPA. This ensures that any container runtime changes will be qualified by Anthos clusters on VMware before each release.

However, the special versions are unknown to the Ubuntu CVE Tracker, which is used as the vulnerability feeds by various CVE scanning tools. Therefore, you will see false positives in docker, containerd, and runc vulnerability scanning results.

For example, you might see the following false positives from your CVE scanning results. These CVEs are already fixed in the latest patch versions of Anthos clusters on VMware.

Refer to the release notes for any CVE fixes.

Canonical is aware of this issue, and the fix is tracked at https://github.com/canonical/sec-cvescan/issues/73.

Unhealthy konnectivity server Pods when using the Seesaw or manual mode load balancer

If you are using Seesaw or the manual mode load balancer, you might notice the konnectivity server Pods are unhealthy. This happens because Seesaw does not support reusing an IP address across a service. For manual mode, creating a load balancer service does not automatically provision the service on your load balancer.

SSH tunneling is enabled in version 1.9 clusters. Thus, even if the konnectivity server is not healthy, you can still use the SSH tunnel, so that the connectivity to and within the cluster should not be affected. Therefore, you do not need to be concerned about these unhealthy Pods.

If you plan to upgrade from version 1.9.0 to 1.9.x, it is recommended you delete the unhealthy konnectivity server deployments before upgrading. Run this command. 

kubectl --kubeconfig ADMIN_CLUSTER_KUBECONFIG -n USER_CLUSTER_NAME delete Deployment konnectivity-server

/etc/cron.daily/aide CPU and memory spike issue

Starting from Anthos clusters on VMware version 1.7.2, the Ubuntu OS images are hardened with CIS L1 Server Benchmark.

As a result, the cron script /etc/cron.daily/aide has been installed so that an aide check is scheduled so as to ensure that the CIS L1 Server rule "1.4.2 Ensure filesystem integrity is regularly checked" is followed.

The cron job runs daily at 6:00 AM UTC. Depending on the number of files on the filesystem, you may experience CPU and memory usage spikes around that time that are caused by this aide process.

If the spikes are affecting your workload, you can disable the daily cron job:

`sudo chmod -x /etc/cron.daily/aide`.

Load balancers and NSX-T stateful distributed firewall rules interact unpredictably

When deploying Anthos clusters on VMware version 1.9 or later, when the deployment has the Seesaw bundled load balancer in an environment that uses NSX-T stateful distributed firewall rules, stackdriver-operator might fail to create gke-metrics-agent-conf ConfigMap and cause gke-connect-agent Pods to be in a crash loop.

The underlying issue is that the stateful NSX-T distributed firewall rules terminate the connection from a client to the user cluster API server through the Seesaw load balancer because Seesaw uses asymmetric connection flows. The integration issues with NSX-T distributed firewall rules affect all Anthos clusters on VMware releases that use Seesaw. You might see similar connection problems on your own applications when they create large Kubernetes objects whose sizes are bigger than 32K. Follow these instructions to disable NSX-T distributed firewall rules, or to use stateless distributed firewall rules for Seesaw VMs.

If your clusters use a manual load balancer, follow these instructions to configure your load balancer to reset client connections when it detects a backend node failure. Without this configuration, clients of the Kubernetes API server might stop responding for several minutes when a server instance goes down.

Failure to register admin cluster during creation

If you create an admin cluster for version 1.9.x or 1.10.0, and if the admin cluster fails to register with the provided gkeConnect spec during its creation, you will get the following error.

  Failed to create root cluster: failed to register admin cluster: failed to register cluster: failed to apply Hub Membership: Membership API request failed: rpc error: code = PermissionDenied desc = Permission 'gkehub.memberships.get' denied on PROJECT_PATH

You will still be able to use this admin cluster, but you will get the following error if you later attempt to upgrade the admin cluster to version 1.10.y.

  failed to migrate to first admin trust chain: failed to parse current version "":
  invalid version: "" failed to migrate to first admin trust chain: failed to parse 
  current version "": invalid version: ""

If this error occurs, follow these steps to fix the cluster registration issue. After you do this fix, you can then upgrade your admin cluster.

  1. Provide govc, the command line interface to vSphere, some variables declaring elements of your vCenter Server and vSphere environment.

    export GOVC_URL=https://VCENTER_SERVER_ADDRESS
export GOVC_USERNAME=VCENTER_SERVER_USERNAME
export GOVC_PASSWORD=VCENTER_SERVER_PASSWORD
export GOVC_DATASTORE=VSPHERE_DATASTORE
export GOVC_DATACENTER=VSPHERE_DATACENTER
export GOVC_INSECURE=true
# DATA_DISK_NAME should not include the suffix ".vmdk"
export DATA_DISK_NAME=DATA_DISK_NAME

    Replace the following:

    • VCENTER_SERVER_ADDRESS is your vCenter Server's IP address or hostname.
    • VCENTER_SERVER_USERNAME is the username of an account that holds the Administrator role or equivalent privileges in vCenter Server.
    • VCENTER_SERVER_PASSWORD is the vCenter Server account's password.
    • VSPHERE_DATASTORE is the name of the datastore you've configured in your vSphere environment.
    • VSPHERE_DATACENTER is the name of the datacenter you've configured in your vSphere environment.
    • DATA_DISK_NAME is the name of the data disk.

  2. Download the DATA_DISK_NAME‑checkpoint.yaml file.

    govc datastore.download ${DATA_DISK_NAME}-checkpoint.yaml temp-checkpoint.yaml

  3. Edit the checkpoint fields.

    # Find out the gkeOnPremVersion
export KUBECONFIG=ADMIN_CLUSTER_KUBECONFIG
ADMIN_CLUSTER_NAME=$(kubectl get onpremadmincluster -n kube-system --no-headers | awk '{ print $1 }')
GKE_ON_PREM_VERSION=$(kubectl get onpremadmincluster -n kube-system $ADMIN_CLUSTER_NAME -o=jsonpath='{.spec.gkeOnPremVersion}')

# Replace the gkeOnPremVersion in temp-checkpoint.yaml
sed -i "s/gkeonpremversion: \"\"/gkeonpremversion: \"$GKE_ON_PREM_VERSION\"/" temp-checkpoint.yaml

#The steps below are only needed for upgrading from 1.9x to 1.10x clusters.

# Find out the provider ID of the admin control-plane VM
ADMIN_CONTROL_PLANE_MACHINE_NAME=$(kubectl get machines --no-headers | grep master)
ADMIN_CONTROL_PLANE_PROVIDER_ID=$(kubectl get machines $ADMIN_CONTROL_PLANE_MACHINE_NAME -o=jsonpath='{.spec.providerID}' | sed 's/\//\\\//g')

# Fill in the providerID field in temp-checkpoint.yaml
sed -i "s/providerid: null/providerid: \"$ADMIN_CONTROL_PLANE_PROVIDER_ID\"/" temp-checkpoint.yaml

    Replace ADMIN_CLUSTER_KUBECONFIG with the path of your admin cluster kubeconfig file.

  4. Generate a new checksum.

    • Change the last line of the checkpoint file to 

      checksum:$NEW_CHECKSUM

      Replace NEW_CHECKSUM with the output of the following command:

      sha256sum temp-checkpoint.yaml

  5. Upload the new checkpoint file.

    govc datastore.upload temp-checkpoint.yaml ${DATA_DISK_NAME}-checkpoint.yaml

Using Anthos Identity Service can cause the Connect Agent to restart unpredictably

If you are using the Anthos Identity Service feature to manage Anthos Identity Service ClientConfig, the Connect Agent might restart unexpectedly.

If you have experienced this issue with an existing cluster, you can do one of the following:

  • Disable Anthos Identity Service (AIS). If you disable AIS, that will not remove the deployed AIS binary or remove AIS ClientConfig. To disable AIS, run this command:

    gcloud beta container hub identity-service disable --project PROJECT_NAME

    Replace PROJECT_NAME with the name of the cluster's fleet host project.

  • Update the cluster to version 1.9.3, or 1.10.1 or later, so as to upgrade the Connect Agent version.

High network traffic to monitoring.googleapis.com

You might see high network traffic to monitoring.googleapis.com, even in a new cluster that has no user workloads.

This issue affects version 1.10.0-1.10.1 and version 1.9.0-1.9.4. This issue is fixed in version 1.10.2 and 1.9.5.

To fix this issue, upgrade to version 1.10.2/1.9.5 or later.

To mitigate this issue for an earlier version:

  1. Scale down stackdriver-operator:

    kubectl --kubeconfig USER_CLUSTER_KUBECONFIG --namespace kube-system \
   scale deployment stackdriver-operator --replicas=0

    Replace USER_CLUSTER_KUBECONFIG with the path of the user cluster kubeconfig file.

  2. Open the gke-metrics-agent-conf ConfigMap for editing:

    kubectl --kubeconfig USER_CLUSTER_KUBECONFIG --namespace kube-system \
   edit configmap gke-metrics-agent-conf

  3. Increase the probe interval from 0.1 seconds to 13 seconds:

    processors:
  disk_buffer/metrics:
    backend_endpoint: https://monitoring.googleapis.com:443
    buffer_dir: /metrics-data/nsq-metrics-metrics
    probe_interval: 13s
    retention_size_mib: 6144
 disk_buffer/self:
    backend_endpoint: https://monitoring.googleapis.com:443
    buffer_dir: /metrics-data/nsq-metrics-self
    probe_interval: 13s
    retention_size_mib: 200
  disk_buffer/uptime:
    backend_endpoint: https://monitoring.googleapis.com:443
    buffer_dir: /metrics-data/nsq-metrics-uptime
    probe_interval: 13s
    retention_size_mib: 200

  4. Close the editing session.

  5. Change gke-metrics-agent DaemonSet version to 1.1.0-anthos.8:

    kubectl --kubeconfig USER_CLUSTER_KUBECONFIG --namespace kube-system \
   edit daemonset gke-metrics-agent

    image: gcr.io/gke-on-prem-release/gke-metrics-agent:1.1.0-anthos.8 # use 1.1.0-anthos.8
imagePullPolicy: IfNotPresent
name: gke-metrics-agent

Missing metrics on some nodes

You might find that the following metrics are missing on some, but not all, nodes:

  • kubernetes.io/anthos/container_memory_working_set_bytes
  • kubernetes.io/anthos/container_cpu_usage_seconds_total
  • kubernetes.io/anthos/container_network_receive_bytes_total

To fix this issue:

  • [version 1.9.5+]: increase cpu for gke-metrics-agent by following steps 1 - 4
  • [version 1.9.0-1.9.4]: follow steps 1 - 9

  1. Open your stackdriver resource for editing:

    kubectl --kubeconfig USER_CLUSTER_KUBECONFIG --namespace kube-system edit stackdriver stackdriver

  2. To increase the CPU request for gke-metrics-agent from 10m to 50m, add the following resourceAttrOverride section to the stackdriver manifest :

    spec:
  resourceAttrOverride:
    gke-metrics-agent/gke-metrics-agent:
      limits:
        cpu: 100m
        memory: 4608Mi
      requests:
        cpu: 50m
        memory: 200Mi

    Your edited resource should look similar to the following:

    spec:
  anthosDistribution: on-prem
  clusterLocation: us-west1-a
  clusterName: my-cluster
  enableStackdriverForApplications: true
  gcpServiceAccountSecretName: ...
  optimizedMetrics: true
  portable: true
  projectID: my-project-191923
  proxyConfigSecretName: ...
  resourceAttrOverride:
    gke-metrics-agent/gke-metrics-agent:
      limits:
        cpu: 100m
        memory: 4608Mi
      requests:
        cpu: 50m
        memory: 200Mi

  3. Save your changes and close the text editor.

  4. To verify your changes have taken effect, run the following command:

    kubectl --kubeconfig USER_CLUSTER_KUBECONFIG --namespace kube-system get daemonset gke-metrics-agent -o yaml | grep "cpu: 50m"

    The command finds cpu: 50m if your edits have taken effect.

  5. To prevent your following changes from reverting, scale down stackdriver-operator:

    kubectl --kubeconfig USER_CLUSTER_KUBECONFIG --namespace kube-system scale deploy stackdriver-operator --replicas=0

  6. Open gke-metrics-agent-conf for editing:

    kubectl --kubeconfig USER_CLUSTER_KUBECONFIG --namespace kube-system edit configmap gke-metrics-agent-conf

  7. Edit the configuration to change all instances of probe_interval: 0.1s to probe_interval: 13s:

     183     processors:
 184       disk_buffer/metrics:
 185         backend_endpoint: https://monitoring.googleapis.com:443
 186         buffer_dir: /metrics-data/nsq-metrics-metrics
 187         probe_interval: 13s
 188         retention_size_mib: 6144
 189       disk_buffer/self:
 190         backend_endpoint: https://monitoring.googleapis.com:443
 191         buffer_dir: /metrics-data/nsq-metrics-self
 192         probe_interval: 13s
 193         retention_size_mib: 200
 194       disk_buffer/uptime:
 195         backend_endpoint: https://monitoring.googleapis.com:443
 196         buffer_dir: /metrics-data/nsq-metrics-uptime
 197         probe_interval: 13s
 198         retention_size_mib: 200

  8. Save your changes and close the text editor.

  9. Change gke-metrics-agent DaemonSet version to 1.1.0-anthos.8:

    kubectl --kubeconfig USER_CLUSTER_KUBECONFIG --namespace kube-system \
   edit daemonset gke-metrics-agent

    image: gcr.io/gke-on-prem-release/gke-metrics-agent:1.1.0-anthos.8 # use 1.1.0-anthos.8
imagePullPolicy: IfNotPresent
name: gke-metrics-agent

Cisco ACI doesn't work with Direct Server Return (DSR)

Seesaw runs in DSR mode, and by default it doesn't work in Cisco ACI because of data-plane IP learning. A possible workaround is to disable IP learning by adding the Seesaw IP address as a L4-L7 Virtual IP in the Cisco Application Policy Infrastructure Controller (APIC).

You can configure the L4-L7 Virtual IP option by going to Tenant > Application Profiles > Application EPGs or uSeg EPGs. Failure to disable IP learning will result in IP endpoint flapping between different locations in the Cisco API fabric.