Offline Upgrade for Container Management Module¶

This page explains how to install or upgrade after downloading the container management module.

Info

The term kpanda appearing in the following commands or scripts is the internal development code name for the container management module.

Load Images from Package¶

Load Images from the Downloaded Package¶

You can load images using one of the two methods below. When there is registry in the environment, it is recommended to use chart-syncer to synchronize images to the registry, which is more efficient and convenient.

Method 1: Synchronize Images Using chart-syncer¶

Using chart-syncer, you can upload the charts and their dependent image packages from the downloaded installation package to the registry and helm repository used during the deployment of the DCE installer.

First, find a node that can connect to the registry and helm repository (such as the bootstrap node), create a load-image.yaml configuration file on the node, and fill in the configuration information for the registry and helm repository.

Create load-image.yaml

Note

All parameters in this YAML file are required.

Helm repo already addedHelm repo not added

If the chart repo is already installed in the current environment, chart-syncer also supports exporting the charts as tgz files.

load-image.yaml

source:
  intermediateBundlesPath: kpanda # (1)!
target:
  containerRegistry: 10.16.10.111 # (2)!
  containerRepository: release.daocloud.io/kpanda # (3)!
  repo:
    kind: HARBOR # (4)!
    url: http://10.16.10.111/chartrepo/release.daocloud.io # (5)!
    auth:
      username: "admin" # (6)!
      password: "Harbor12345" # (7)!
  containers:
    auth:
      username: "admin" # (8)!
      password: "Harbor12345" # (9)!

Path where the .tar.gz package is located after using chart-syncer
Registry address
Registry path
Helm Chart repository type
Helm repository address
Registry username
Registry password
Helm repository username
Helm repository password

If the helm repo is not added on the current node, chart-syncer also supports exporting the charts as tgz files and storing them in a specified path.

load-image.yaml

source:
  intermediateBundlesPath: kpanda # (1)!
target:
  containerRegistry: 10.16.10.111 # (2)!
  containerRepository: release.daocloud.io/kpanda # (3)!
  repo:
    kind: LOCAL
    path: ./local-repo # (4)!
  containers:
    auth:
      username: "admin" # (5)!
      password: "Harbor12345" # (6)!

Path where the .tar.gz package is located after using chart-syncer
Registry URL
Registry path
Local path for the chart
Registry username
Registry password

Run the image synchronization command.

charts-syncer sync --config load-image.yaml

Method 2: Load Images Using Docker or containerd¶

Unpack and load the image files.

Unpack the tar package.
```
tar xvf kpanda.bundle.tar
```
After successful unpacking, you will get 3 files:
- hints.yaml
- images.tar
- original-chart

Load the images from the local to Docker or containerd.

Dockercontainerd

docker load -i images.tar

ctr -n k8s.io image import images.tar

Note

Each node needs to perform the Docker or containerd image loading operation. After loading, you need to tag the images to keep the Registry and Repository consistent with the installation.

Upgrade¶

There are two upgrade methods. You can choose the proper upgrade plan based on the preliminary operations:

Note

Starting from v0.21.0 of kpanda, Redis supports setting a sentinel password. If using sentinel mode Redis, you need to change the --set global.db.redis.url during the upgrade. For example:

Previously: redis+sentinel://:3wPxzWffdn@rfs-mcamel-common-redis-cluster.mcamel-system.svc.cluster.local:26379/mymaster
Now: redis+sentinel://:3wPxzWffdn@rfs-mcamel-common-redis-cluster.mcamel-system.svc.cluster.local:26379/mymaster?master_password=3wPxzWffdn

Upgrade via helm repoUpgrade via chart package

Check if the container management helm repository exists.
```
helm repo list | grep kpanda
```
If the result is empty or the following prompt appears, proceed to the next step; otherwise, skip the next step.
```
Error: no repositories to show
```

Add the container management helm repository.

helm repo add kpanda http://{harbor url}/chartrepo/{project}

Update the container management helm repository.
```
helm repo update kpanda
```

Choose the container management version you want to install (it is recommended to install the latest version).

helm search repo kpanda/kpanda --versions

The output will be similar to:

NAME                   CHART VERSION  APP VERSION  DESCRIPTION
kpanda/kpanda  0.20.0          v0.20.0       A Helm chart for kpanda
...

Back up --set parameters.

Before upgrading the container management version, it is recommended to run the following command to back up the --set parameters of the old version.
```
helm get values kpanda -n kpanda-system -o yaml > bak.yaml
```

Update kpanda crds

helm pull kpanda/kpanda --version 0.21.0 && tar -zxf kpanda-0.21.0.tgz
kubectl apply -f kpanda/crds

Run helm upgrade.

Before upgrading, it is recommended to overwrite the global.imageRegistry field in bak.yaml with the current registry address.

export imageRegistry={your registry}

helm upgrade kpanda kpanda/kpanda \
  -n kpanda-system \
  -f ./bak.yaml \
  --set global.imageRegistry=$imageRegistry \
  --version 0.21.0

Back up --set parameters.

Before upgrading the container management version, it is recommended to run the following command to back up the --set parameters of the old version.
```
helm get values kpanda -n kpanda-system -o yaml > bak.yaml
```
Update kpanda crds
```
kubectl apply -f ./crds
```

Run helm upgrade.

Before upgrading, it is recommended to overwrite the global.imageRegistry in bak.yaml with the current registry address.

export imageRegistry={your registry}

helm upgrade kpanda . \
  -n kpanda-system \
  -f ./bak.yaml \
  --set global.imageRegistry=$imageRegistry

Upgrade via Web Interface¶

Prerequisites¶

Run the following command before installing DCE 5.0 or upgrading the product module:

~/dce5-installer cluster-create -c /home/dce5/sample/clusterConfig.yaml -m /home/dce5/sample/manifest.yaml -d -j 14,15

Steps¶

In the Clusters page, search for the kpanda-global-cluster cluster and enter the cluster details.
In the left navigation bar, find Helm apps, search for kpanda to find the container management module, expand the right operation bar, and click the Update button to upgrade.

Know Issues to Upgrade¶

Upgrade to v0.25.1 but < v0.29.0¶

Issue Description:

When upgrading kpanda from a lower version to v0.25.1 or higher via the page method, there may be an issue with the image URL concatenation, causing the upgrade to fail. The error message is shown below:

Image URL Error

Solution:

When updating kpanda in Helm applications, modify the YAML file and change the repository address to the format repository: xxx/xxx.

Click to see a detailed YAML example

global:
  imageRegistry: 10.6.135.222/release.daocloud.io
  imagePullSecrets: []
  storageClass: ''
  kpanda:
    imageTag: v0.25.1
    enableGhippoRoutes: true
    enableSidecar: true
  db:
    builtIn: false
    redis:
      url: >-
        redis+sentinel://rfs-mcamel-common-redis-cluster.mcamel-system.svc.cluster.local:26379/mymaster?master_password=XFDYqKEyJU
      image:
        registry: release.daocloud.io
        repository: kpanda/redis
        tag: 7.0.5-alpine
        pullPolicy: IfNotPresent
  telemetry:
    tracing:
      enabled: true
      addr: >-
        insight-agent-opentelemetry-collector.insight-system.svc.cluster.local:4317
    metrics:
      enabled: true
      path: /metrics
      port: 81
  busybox:
    image:
      registry: release.daocloud.io
      repository: library/busybox
      tag: 1.34.1
      pullPolicy: IfNotPresent
  shell:
    image:
      registry: release.daocloud.io
      repository: kpanda/kpanda-shell
      tag: v0.0.9
      pullPolicy: IfNotPresent
controllerManager:
  labels:
    app: kpanda-controller-manager
  replicaCount: 2
  podAnnotations: {}
  podLabels:
    app: kpanda-controller-manager
  image:
    registry: release.daocloud.io
    repository: kpanda/kpanda-controller-manager
    tag: ''
    pullPolicy: IfNotPresent
    pullSecrets: []
  livenessProbe:
    enabled: true
    initialDelaySeconds: 30
    timeoutSeconds: 5
    periodSeconds: 30
    successThreshold: 1
    failureThreshold: 3
    scheme: HTTP
  readinessProbe:
    enabled: true
    initialDelaySeconds: 30
    timeoutSeconds: 5
    periodSeconds: 30
    successThreshold: 1
    failureThreshold: 3
    scheme: HTTP
  resources:
    requests:
      cpu: 200m
      memory: 200Mi
  nodeSelector: {}
  affinity:
    podAntiAffinity:
      preferredDuringSchedulingIgnoredDuringExecution:
        - weight: 60
          podAffinityTerm:
            labelSelector:
              matchExpressions:
                - key: app
                  operator: In
                  values:
                    - kpanda-controller-manager
            topologyKey: kubernetes.io/hostname
  tolerations: []
apiServer:
  createDefaultOrderIndex: true
  insightAgentRegistryOverride: true
  labels:
    app: kpanda-apiserver
  replicaCount: 2
  podAnnotations: {}
  podLabels: {}
  image:
    registry: release.daocloud.io
    repository: kpanda/kpanda-apiserver
    tag: ''
    pullPolicy: IfNotPresent
    pullSecrets: []
  livenessProbe:
    enabled: true
    initialDelaySeconds: 30
    timeoutSeconds: 5
    periodSeconds: 30
    successThreshold: 1
    failureThreshold: 3
    scheme: HTTP
  readinessProbe:
    enabled: true
    initialDelaySeconds: 30
    timeoutSeconds: 5
    periodSeconds: 30
    successThreshold: 1
    failureThreshold: 3
    scheme: HTTP
  resources:
    requests:
      cpu: 200m
      memory: 200Mi
  hostNetwork: false
  nodeSelector: {}
  affinity: {}
  tolerations: []
  serviceType: ClusterIP
  nodePort: null
  configMap:
    addon:
      repo:
        - URL: http://10.6.135.222:8081
          name: addon
          password: rootpass123
          username: rootuser
kpanda-proxy:
  enabled: true
  proxyIngress:
    replicaCount: 2
    podAnnotations: {}
    podLabels: {}
    resources:
      requests:
        cpu: 100m
        memory: 128Mi
    nodeSelector: {}
    affinity: {}
    tolerations: []
  proxyEgress:
    replicaCount: 2
    podAnnotations: {}
    podLabels: {}
    resources:
      requests:
        cpu: 100m
        memory: 128Mi
    nodeSelector: {}
    affinity: {}
    tolerations: []
clusterpedia:
  enabled: true
  podLabels:
    sidecar.istio.io/inject: 'true'
  mysql:
    enabled: false
    image:
      registry: release.daocloud.io
      repository: kpanda/mysql
      tag: 8.0.29
    primary:
      persistence:
        enabled: false
      resources:
        limits:
          cpu: 1
          memory: 1Gi
        requests:
          cpu: 100m
          memory: 128Mi
  postgresql:
    enabled: false
    image:
      registry: release.daocloud.io
      repository: kpanda/postgresql
      tag: 15.3.0-debian-11-r7
    primary:
      persistence:
        enabled: false
      resources:
        limits:
          cpu: 1
          memory: 1Gi
        requests:
          cpu: 100m
          memory: 128Mi
  storageInstallMode: external
  externalStorage:
    type: mysql
    dsn: >-
      kpanda:@tcp(mcamel-common-kpanda-mysql-cluster-mysql-master.mcamel-system.svc.cluster.local:3306)/kpanda?charset=utf8mb4&multiStatements=true&parseTime=true
    host: ''
    port: null
    user: ''
    password: ihKhByQ2Af
    database: ''
    accessType: readwrite
    connMaxIdleSeconds: 1800
    connMaxLifetimeSeconds: 3600
    maxIdleConns: 10
    maxOpenConns: 100
  installCRDs: true
  persistenceMatchNode: None
  apiserver:
    replicaCount: 2
    podAnnotations: {}
    podLabels:
      sidecar.istio.io/inject: 'true'
    image:
      registry: release.daocloud.io
      repository: clusterpedia/apiserver
      tag: v0.7.1-rc.0
      pullPolicy: IfNotPresent
      pullSecrets: []
    featureGates:
      RemainingItemCount: false
      AllowRawSQLQuery: true
    resources: {}
    tolerations: []
  clustersynchroManager:
    replicaCount: 2
    podAnnotations: {}
    podLabels:
      sidecar.istio.io/inject: 'true'
      app: kpanda-clusterpedia-clustersynchro-manager
    image:
      registry: release.daocloud.io
      repository: clusterpedia/clustersynchro-manager
      tag: v0.7.1-rc.0
      pullPolicy: IfNotPresent
      pullSecrets: []
    featureGates:
      PruneManagedFields: true
      PruneLastAppliedConfiguration: true
      AllowSyncAllCustomResources: true
      AllowSyncAllResources: true
      HealthCheckerWithStandaloneTCP: true
    resources: {}
    nodeSelector: {}
    affinity:
      podAntiAffinity:
        preferredDuringSchedulingIgnoredDuringExecution:
          - weight: 60
            podAffinityTerm:
              labelSelector:
                matchExpressions:
                  - key: app
                    operator: In
                    values:
                      - kpanda-clusterpedia-clustersynchro-manager
              topologyKey: kubernetes.io/hostname
    tolerations: []
    leaderElect:
      leaseDuration: 60s
      renewDeadline: 50s
      retryPeriod: 5s
      resourceLock: leases
  controllerManager:
    labels: {}
    replicaCount: 1
    podAnnotations: {}
    podLabels:
      sidecar.istio.io/inject: 'true'
    image:
      registry: release.daocloud.io
      repository: clusterpedia/controller-manager
      tag: v0.7.1-rc.0
      pullPolicy: IfNotPresent
      pullSecrets: []
  hookJob:
    image:
      registry: release.daocloud.io
      repository: kpanda/kpanda-shell
      tag: v0.0.9
      pullPolicy: IfNotPresent
ui:
  enabled: true
  replicaCount: 2
  podAnnotations: {}
  podLabels: {}
  image:
    registry: release.daocloud.io
    repository: kpanda/kpanda-ui
    tag: v0.24.1
    pullPolicy: IfNotPresent
    pullSecrets: []
  resources: {}
  nodeSelector: {}
  affinity: {}
  tolerations: []
cloudtty:
  enabled: true
  labels: {}
  replicaCount: 1
  podAnnotations: {}
  podLabels:
    sidecar.istio.io/inject: 'true'
  image:
    registry: release.daocloud.io
    repository: cloudtty/cloudshell-operator
    tag: v0.6.3
    pullPolicy: IfNotPresent
    pullSecrets: []
  resources:
    requests:
      cpu: 100m
      memory: 128Mi
  nodeSelector: {}
  affinity: {}
  tolerations: []
  cloudshellImage:
    registry: release.daocloud.io
    # Change the repository address to the format repository: xxx/xxx, such as repository: cloudtty/cloudshell
    repository: cloudtty/cloudshell
    tag: v0.6.3
hookJob:
  image:
    registry: release.daocloud.io
    repository: kpanda/kpanda-shell
    tag: v0.0.9
    pullPolicy: IfNotPresent
helmJobImageOverride:
  enabled: true
  registry: release.daocloud.io
  repository: kpanda/kpanda-shell
  tag: v0.0.9
etcdBackupRestore:
  image:
    registry: release.daocloud.io
    repository: kpanda/etcdbrctl
    tag: v0.22.0

Upgrade to v0.29.0 or Higher¶

Issue Description:

When upgrading kpanda from a lower version to v0.29.0 or higher, if the node is in GPU MIG mode, the system will forcibly switch the original GPU MIG mode to GPU full-card mode, which will affect business operations. You can perform the following operations to avoid this issue.

Disruptive Upgrade (Use Case: GPU MIG mode is enabled but not actually used):

Stop all GPU applications.
Uninstall gpu-operator and nvidia-vgpu.
Reinstall gpu-operator after the upgrade is complete, ensuring the gpu-operator version is greater than v23.9.0+1.

Non-disruptive Upgrade (Use Case: GPU MIG mode is enabled and actual business is using MIG mode):

Manually modify the node label gpu.node.kpanda.io/nvidia-gpu-mode: mig.
Upgrade the kpanda version.
Upgrade gpu-operator to version >= v23.9.0+1.

Offline Upgrade for Container Management Module¶

Load Images from Package¶

Load Images from the Downloaded Package¶

Method 1: Synchronize Images Using chart-syncer¶

Method 2: Load Images Using Docker or containerd¶

Upgrade¶

Upgrade via Web Interface¶

Prerequisites¶

Steps¶

Know Issues to Upgrade¶

Upgrade to v0.25.1 but < v0.29.0¶

Upgrade to v0.29.0 or Higher¶

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