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k8s部署jenkins 一、创建资源 1.1 jenkins-deployment.yamlcat > deployment.yaml << EOF # jenkins-deployment.yaml apiVersion: apps/v1 kind: Deployment metadata: name: jenkins namespace: cicd spec: replicas: 1 selector: matchLabels: app: jenkins template: metadata: labels: app: jenkins spec: securityContext: fsGroup: 1000 # 确保 Jenkins 用户有存储写入权限 serviceAccountName: jenkins-admin containers: - name: jenkins image: registry.cn-guangzhou.aliyuncs.com/xingcangku/jenkins-jenkins-lts-jdk17:lts-jdk17 imagePullPolicy: IfNotPresent ports: - containerPort: 8080 - containerPort: 50000 #env: #- name: JAVA_OPTS #value: "-Djenkins.install.runSetupWizard=false -Xmx2g" # 跳过初始化向导，内存限制 volumeMounts: - name: jenkins-data mountPath: /var/jenkins_home resources: limits: cpu: "1" memory: "3Gi" requests: cpu: "0.5" memory: "1Gi" livenessProbe: httpGet: path: /login port: 8080 initialDelaySeconds: 90 periodSeconds: 10 volumes: - name: jenkins-data persistentVolumeClaim: claimName: jenkins-pvc # 绑定 CephFS PVC EOF1.2 jenkins-pvc.yamlcat > pvc.yaml << EOF apiVersion: v1 kind: PersistentVolumeClaim metadata: name: jenkins-pvc # PVC 的名称 namespace: cicd # 建议创建一个专门的命名空间，如 devops spec: storageClassName: ceph-cephfs # ⚠️ 确保这里与你部署的 StorageClass 名称完全一致 accessModes: - ReadWriteMany # Jenkins 适合使用多个节点可读写的存储 resources: requests: storage: 20Gi # 根据你的需求调整存储大小，建议至少 10-20Gi EOF1.3 jenkins-rbac.yamlcat > rbac.yaml << EOF # rbac.yaml apiVersion: v1 kind: ServiceAccount metadata: name: jenkins-admin namespace: cicd --- kind: ClusterRoleBinding apiVersion: rbac.authorization.k8s.io/v1 metadata: name: jenkins-admin-crb roleRef: apiGroup: rbac.authorization.k8s.io kind: ClusterRole name: edit # 授予命名空间内管理权限 subjects: - kind: ServiceAccount name: jenkins-admin namespace: jenkins EOF1.4 jenkins-svc.yamlcat > svc.yaml << EOF # service.yaml apiVersion: v1 kind: Service metadata: name: jenkins-service namespace: cicd spec: type: NodePort ports: - port: 8080 targetPort: 8080 name: http - port: 50000 targetPort: 50000 name: agent selector: app: jenkins EOF1.5 账号密码账号admin 密码去容器里面中查看 cat /var/jenkins_home/secrets/initialAdminPassword
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k8s top查看集群资源 一、官网https://kubernetes-sigs.github.io/metrics-server/二、yaml文件apiVersion: v1 kind: ServiceAccount metadata: labels: k8s-app: metrics-server name: metrics-server namespace: kube-system --- apiVersion: rbac.authorization.k8s.io/v1 kind: ClusterRole metadata: labels: k8s-app: metrics-server rbac.authorization.k8s.io/aggregate-to-admin: "true" rbac.authorization.k8s.io/aggregate-to-edit: "true" rbac.authorization.k8s.io/aggregate-to-view: "true" name: system:aggregated-metrics-reader rules: - apiGroups: - metrics.k8s.io resources: - pods - nodes verbs: - get - list - watch --- apiVersion: rbac.authorization.k8s.io/v1 kind: ClusterRole metadata: labels: k8s-app: metrics-server name: system:metrics-server rules: - apiGroups: - "" resources: - nodes/metrics verbs: - get - apiGroups: - "" resources: - pods - nodes verbs: - get - list - watch --- apiVersion: rbac.authorization.k8s.io/v1 kind: RoleBinding metadata: labels: k8s-app: metrics-server name: metrics-server-auth-reader namespace: kube-system roleRef: apiGroup: rbac.authorization.k8s.io kind: Role name: extension-apiserver-authentication-reader subjects: - kind: ServiceAccount name: metrics-server namespace: kube-system --- apiVersion: rbac.authorization.k8s.io/v1 kind: ClusterRoleBinding metadata: labels: k8s-app: metrics-server name: metrics-server:system:auth-delegator roleRef: apiGroup: rbac.authorization.k8s.io kind: ClusterRole name: system:auth-delegator subjects: - kind: ServiceAccount name: metrics-server namespace: kube-system --- apiVersion: rbac.authorization.k8s.io/v1 kind: ClusterRoleBinding metadata: labels: k8s-app: metrics-server name: system:metrics-server roleRef: apiGroup: rbac.authorization.k8s.io kind: ClusterRole name: system:metrics-server subjects: - kind: ServiceAccount name: metrics-server namespace: kube-system --- apiVersion: v1 kind: Service metadata: labels: k8s-app: metrics-server name: metrics-server namespace: kube-system spec: ports: - appProtocol: https name: https port: 443 protocol: TCP targetPort: https selector: k8s-app: metrics-server --- apiVersion: apps/v1 kind: Deployment metadata: labels: k8s-app: metrics-server name: metrics-server namespace: kube-system spec: selector: matchLabels: k8s-app: metrics-server strategy: rollingUpdate: maxUnavailable: 0 template: metadata: labels: k8s-app: metrics-server spec: containers: - args: - --cert-dir=/tmp - --secure-port=10250 - --kubelet-preferred-address-types=InternalIP,ExternalIP,Hostname - --kubelet-use-node-status-port - --metric-resolution=15s image: registry.cn-guangzhou.aliyuncs.com/xingcangku/metrics-server:v0.8.0 imagePullPolicy: IfNotPresent livenessProbe: failureThreshold: 3 httpGet: path: /livez port: https scheme: HTTPS periodSeconds: 10 name: metrics-server ports: - containerPort: 10250 name: https protocol: TCP readinessProbe: failureThreshold: 3 httpGet: path: /readyz port: https scheme: HTTPS initialDelaySeconds: 20 periodSeconds: 10 resources: requests: cpu: 100m memory: 200Mi securityContext: allowPrivilegeEscalation: false capabilities: drop: - ALL readOnlyRootFilesystem: true runAsNonRoot: true runAsUser: 1000 seccompProfile: type: RuntimeDefault volumeMounts: - mountPath: /tmp name: tmp-dir nodeSelector: kubernetes.io/os: linux priorityClassName: system-cluster-critical serviceAccountName: metrics-server volumes: - emptyDir: {} name: tmp-dir --- apiVersion: apiregistration.k8s.io/v1 kind: APIService metadata: labels: k8s-app: metrics-server name: v1beta1.metrics.k8s.io spec: group: metrics.k8s.io groupPriorityMinimum: 100 insecureSkipTLSVerify: true service: name: metrics-server namespace: kube-system version: v1beta1 versionPriority: 100三、部署root@k8s01:~/helm# mkdir metrics-server root@k8s01:~/helm# cd metrics-server/ root@k8s01:~/helm/metrics-server# ls root@k8s01:~/helm/metrics-server# vi metrics.yaml root@k8s01:~/helm/metrics-server# kubectl apply -f metrics.yaml serviceaccount/metrics-server created clusterrole.rbac.authorization.k8s.io/system:aggregated-metrics-reader configured clusterrole.rbac.authorization.k8s.io/system:metrics-server created rolebinding.rbac.authorization.k8s.io/metrics-server-auth-reader created clusterrolebinding.rbac.authorization.k8s.io/metrics-server:system:auth-delegator created clusterrolebinding.rbac.authorization.k8s.io/system:metrics-server created service/metrics-server created deployment.apps/metrics-server created apiservice.apiregistration.k8s.io/v1beta1.metrics.k8s.io configured
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Harbor升级https配置k8s使用 一、修改values.yaml文件expose: # Set how to expose the service. Set the type as "ingress", "clusterIP", "nodePort" or "loadBalancer" # and fill the information in the corresponding section type: nodePort tls: # Enable TLS or not. # Delete the "ssl-redirect" annotations in "expose.ingress.annotations" when TLS is disabled and "expose.type" is "ingress" # Note: if the "expose.type" is "ingress" and TLS is disabled, # the port must be included in the command when pulling/pushing images. # Refer to https://github.com/goharbor/harbor/issues/5291 for details. enabled: true # The source of the tls certificate. Set as "auto", "secret" # or "none" and fill the information in the corresponding section # 1) auto: generate the tls certificate automatically # 2) secret: read the tls certificate from the specified secret. # The tls certificate can be generated manually or by cert manager # 3) none: configure no tls certificate for the ingress. If the default # tls certificate is configured in the ingress controller, choose this option certSource: auto auto: # The common name used to generate the certificate, it's necessary # when the type isn't "ingress" commonName: "192.168.3.200" secret: # The name of secret which contains keys named: # "tls.crt" - the certificate # "tls.key" - the private key secretName: "" ingress: hosts: core: 192.168.3.200 # set to the type of ingress controller if it has specific requirements. # leave as `default` for most ingress controllers. # set to `gce` if using the GCE ingress controller # set to `ncp` if using the NCP (NSX-T Container Plugin) ingress controller # set to `alb` if using the ALB ingress controller # set to `f5-bigip` if using the F5 BIG-IP ingress controller controller: default ## Allow .Capabilities.KubeVersion.Version to be overridden while creating ingress kubeVersionOverride: "" className: "" annotations: # note different ingress controllers may require a different ssl-redirect annotation # for Envoy, use ingress.kubernetes.io/force-ssl-redirect: "true" and remove the nginx lines below ingress.kubernetes.io/ssl-redirect: "true" ingress.kubernetes.io/proxy-body-size: "0" nginx.ingress.kubernetes.io/ssl-redirect: "true" nginx.ingress.kubernetes.io/proxy-body-size: "0" # ingress-specific labels labels: {} clusterIP: # The name of ClusterIP service name: harbor # The ip address of the ClusterIP service (leave empty for acquiring dynamic ip) staticClusterIP: "" ports: # The service port Harbor listens on when serving HTTP httpPort: 80 # The service port Harbor listens on when serving HTTPS httpsPort: 443 # Annotations on the ClusterIP service annotations: {} # ClusterIP-specific labels labels: {} nodePort: # The name of NodePort service name: harbor ports: http: # The service port Harbor listens on when serving HTTP port: 80 # The node port Harbor listens on when serving HTTP nodePort: 30002 https: # The service port Harbor listens on when serving HTTPS port: 443 # The node port Harbor listens on when serving HTTPS nodePort: 30003 # Annotations on the nodePort service annotations: {} # nodePort-specific labels labels: {} loadBalancer: # The name of LoadBalancer service name: harbor # Set the IP if the LoadBalancer supports assigning IP IP: "" ports: # The service port Harbor listens on when serving HTTP httpPort: 80 # The service port Harbor listens on when serving HTTPS httpsPort: 443 # Annotations on the loadBalancer service annotations: {} # loadBalancer-specific labels labels: {} sourceRanges: []二、上面配置好后会自动生成ca证书（下载备用） 三、docker配置使用（需要重新登录）# 1. 在 Docker 的信任证书目录创建 Harbor 仓库对应目录 sudo mkdir -p /etc/docker/certs.d/192.168.30.180:30003 # 2. 复制 CA 证书到 Docker 信任目录 sudo cp ca.crt /etc/docker/certs.d/192.168.30.180:30003/ca.crt # 3. 重新加载 Docker 守护进程 sudo systemctl reload docker # 或者 sudo systemctl restart docker # 4. 测试登录（会提示输入密码） docker login 192.168.30.180:30003 -u adminroot@k8s01:~/helm/harbor# docker push 192.168.3.200:30003/nginx/nginx:latest The push refers to repository [192.168.3.200:30003/nginx/nginx] f17478b6e8f3: Layer already exists 0662742b23b2: Layer already exists 5c91a024d899: Layer already exists 6b1b97dc9285: Layer already exists a6b19c3d00b1: Layer already exists 30837a0774b9: Layer already exists 7cc7fe68eff6: Layer already exists unauthorized: unauthorized to access repository: nginx/nginx, action: push: unauthorized to access repository: nginx/nginx, action: push root@k8s01:~/helm/harbor# cat ~/.docker/config.json { "auths": { "192.168.3.200:30002": { "auth": "YWRtaW46SGFyYm9yMTIzNDU=" } } }root@k8s01:~/helm/harbor# docker logout 192.168.3.200:30002 Removing login credentials for 192.168.3.200:30002 root@k8s01:~/helm/harbor# docker login 192.168.3.200:30003 Username: admin Password: WARNING! Your password will be stored unencrypted in /root/.docker/config.json. Configure a credential helper to remove this warning. See https://docs.docker.com/engine/reference/commandline/login/#credentials-store Login Succeeded root@k8s01:~/helm/harbor# cat ~/.docker/config.json { "auths": { "192.168.3.200:30003": { "auth": "YWRtaW46SGFyYm9yMTIzNDU=" } } 四、k8s配置使用（每个k8s节点都要做）root@k8s02:~# sudo cp ca.crt /usr/local/share/ca-certificates/192.168.3.200-ca.crt root@k8s02:~# sudo update-ca-certificates Updating certificates in /etc/ssl/certs... rehash: warning: skipping ca-certificates.crt,it does not contain exactly one certificate or CRL 1 added, 0 removed; done. Running hooks in /etc/ca-certificates/update.d... done. root@k8s02:~# root@k8s02:~# sudo systemctl restart containerd root@k8s02:~# kubectl create secret docker-registry harbor-cred \ --docker-server=192.168.30.180:30003 \ --docker-username=admin \ # 替换为实际用户名 --docker-password=Harbor12345 \ # 替换为实际密码 -n cicdapiVersion: apps/v1 kind: Deployment metadata: name: gitlab namespace: cicd spec: selector: matchLabels: app: gitlab replicas: 1 template: metadata: labels: app: gitlab spec: imagePullSecrets: #这里要加上 - name: harbor-cred containers: - name: gitlab image: 192.168.30.180:30003/axing_demo/jenkins:16.11.1-ce.0五、测试root@k8s01:~/helm# kubectl apply -f nginx-test.yaml pod/nginx-pod created root@k8s01:~/helm# kubectl get pods -w NAME READY STATUS RESTARTS AGE my-sonarqube-postgresql-0 1/1 Running 23 (110m ago) 52d my-sonarqube-sonarqube-0 0/1 Pending 0 48d nginx-pod 0/1 ContainerCreating 0 4s nginx-pod 1/1 Running 0 4s ^Croot@k8s01:~/helm# cat nginx-test.yaml apiVersion: v1 kind: Pod metadata: name: nginx-pod labels: app: nginx spec: containers: - name: nginx-container image: 192.168.3.200:30003/nginx/nginx:latest ports: - containerPort: 80 Events: Type Reason Age From Message ---- ------ ---- ---- ------- Normal Scheduled 6m1s default-scheduler Successfully assigned default/nginx-pod to k8s02 Normal Pulling 6m kubelet Pulling image "192.168.3.200:30003/nginx/nginx:latest" Normal Pulled 5m58s kubelet Successfully pulled image "192.168.3.200:30003/nginx/nginx:latest" in 2.486104494s (2.486113121s including waiting) Normal Created 5m58s kubelet Created container nginx-container Normal Started 5m58s kubelet Started container nginx-container expose: # Set how to expose the service. Set the type as "ingress", "clusterIP", "nodePort" or "loadBalancer" # and fill the information in the corresponding section type: nodePort tls: # Enable TLS or not. # Delete the "ssl-redirect" annotations in "expose.ingress.annotations" when TLS is disabled and "expose.type" is "ingress" # Note: if the "expose.type" is "ingress" and TLS is disabled, # the port must be included in the command when pulling/pushing images. # Refer to https://github.com/goharbor/harbor/issues/5291 for details. enabled: true # The source of the tls certificate. Set as "auto", "secret" # or "none" and fill the information in the corresponding section # 1) auto: generate the tls certificate automatically # 2) secret: read the tls certificate from the specified secret. # The tls certificate can be generated manually or by cert manager # 3) none: configure no tls certificate for the ingress. If the default # tls certificate is configured in the ingress controller, choose this option certSource: auto auto: # The common name used to generate the certificate, it's necessary # when the type isn't "ingress" commonName: "192.168.30.180" secret: # The name of secret which contains keys named: # "tls.crt" - the certificate # "tls.key" - the private key secretName: "" ingress: hosts: core: 192.168.30.180 # set to the type of ingress controller if it has specific requirements. # leave as `default` for most ingress controllers. # set to `gce` if using the GCE ingress controller # set to `ncp` if using the NCP (NSX-T Container Plugin) ingress controller # set to `alb` if using the ALB ingress controller # set to `f5-bigip` if using the F5 BIG-IP ingress controller controller: default ## Allow .Capabilities.KubeVersion.Version to be overridden while creating ingress kubeVersionOverride: "" className: "" annotations: # note different ingress controllers may require a different ssl-redirect annotation # for Envoy, use ingress.kubernetes.io/force-ssl-redirect: "true" and remove the nginx lines below ingress.kubernetes.io/ssl-redirect: "true" ingress.kubernetes.io/proxy-body-size: "0" nginx.ingress.kubernetes.io/ssl-redirect: "true" nginx.ingress.kubernetes.io/proxy-body-size: "0" # ingress-specific labels labels: {} clusterIP: # The name of ClusterIP service name: harbor # The ip address of the ClusterIP service (leave empty for acquiring dynamic ip) staticClusterIP: "" ports: # The service port Harbor listens on when serving HTTP httpPort: 80 # The service port Harbor listens on when serving HTTPS httpsPort: 443 # Annotations on the ClusterIP service annotations: {} # ClusterIP-specific labels labels: {} nodePort: # The name of NodePort service name: harbor ports: http: # The service port Harbor listens on when serving HTTP port: 80 # The node port Harbor listens on when serving HTTP nodePort: 30002 https: # The service port Harbor listens on when serving HTTPS port: 443 # The node port Harbor listens on when serving HTTPS nodePort: 30003 # Annotations on the nodePort service annotations: {} # nodePort-specific labels labels: {} loadBalancer: # The name of LoadBalancer service name: harbor # Set the IP if the LoadBalancer supports assigning IP IP: "" ports: # The service port Harbor listens on when serving HTTP httpPort: 80 # The service port Harbor listens on when serving HTTPS httpsPort: 443 # Annotations on the loadBalancer service annotations: {} # loadBalancer-specific labels labels: {} sourceRanges: [] # The external URL for Harbor core service. It is used to # 1) populate the docker/helm commands showed on portal # 2) populate the token service URL returned to docker client # # Format: protocol://domain[:port]. Usually: # 1) if "expose.type" is "ingress", the "domain" should be # the value of "expose.ingress.hosts.core" # 2) if "expose.type" is "clusterIP", the "domain" should be # the value of "expose.clusterIP.name" # 3) if "expose.type" is "nodePort", the "domain" should be # the IP address of k8s node # # If Harbor is deployed behind the proxy, set it as the URL of proxy externalURL: https://192.168.30.180:30003 # The persistence is enabled by default and a default StorageClass # is needed in the k8s cluster to provision volumes dynamically. # Specify another StorageClass in the "storageClass" or set "existingClaim" # if you already have existing persistent volumes to use # # For storing images and charts, you can also use "azure", "gcs", "s3", # "swift" or "oss". Set it in the "imageChartStorage" section persistence: enabled: true # Setting it to "keep" to avoid removing PVCs during a helm delete # operation. Leaving it empty will delete PVCs after the chart deleted # (this does not apply for PVCs that are created for internal database # and redis components, i.e. they are never deleted automatically) resourcePolicy: "keep" persistentVolumeClaim: registry: # Use the existing PVC which must be created manually before bound, # and specify the "subPath" if the PVC is shared with other components existingClaim: "" # Specify the "storageClass" used to provision the volume. Or the default # StorageClass will be used (the default). # Set it to "-" to disable dynamic provisioning storageClass: "nfs-sc" subPath: "" accessMode: ReadWriteOnce size: 5Gi annotations: {} jobservice: jobLog: existingClaim: "" storageClass: "nfs-sc" subPath: "" accessMode: ReadWriteOnce size: 1Gi annotations: {} # If external database is used, the following settings for database will # be ignored database: existingClaim: "" storageClass: "nfs-sc" subPath: "" accessMode: ReadWriteOnce size: 1Gi annotations: {} # If external Redis is used, the following settings for Redis will # be ignored redis: existingClaim: "" storageClass: "nfs-sc" subPath: "" accessMode: ReadWriteOnce size: 1Gi annotations: {} trivy: existingClaim: "" storageClass: "nfs-sc" subPath: "" accessMode: ReadWriteOnce size: 5Gi annotations: {} # Define which storage backend is used for registry to store # images and charts. Refer to # https://github.com/distribution/distribution/blob/release/2.8/docs/configuration.md#storage # for the detail. imageChartStorage: # Specify whether to disable `redirect` for images and chart storage, for # backends which not supported it (such as using minio for `s3` storage type), please disable # it. To disable redirects, simply set `disableredirect` to `true` instead. # Refer to # https://github.com/distribution/distribution/blob/release/2.8/docs/configuration.md#redirect # for the detail. disableredirect: false # Specify the "caBundleSecretName" if the storage service uses a self-signed certificate. # The secret must contain keys named "ca.crt" which will be injected into the trust store # of registry's containers. # caBundleSecretName: # Specify the type of storage: "filesystem", "azure", "gcs", "s3", "swift", # "oss" and fill the information needed in the corresponding section. The type # must be "filesystem" if you want to use persistent volumes for registry type: filesystem filesystem: rootdirectory: /storage #maxthreads: 100 azure: accountname: accountname accountkey: base64encodedaccountkey container: containername #realm: core.windows.net # To use existing secret, the key must be AZURE_STORAGE_ACCESS_KEY existingSecret: "" gcs: bucket: bucketname # The base64 encoded json file which contains the key encodedkey: base64-encoded-json-key-file #rootdirectory: /gcs/object/name/prefix #chunksize: "5242880" # To use existing secret, the key must be GCS_KEY_DATA existingSecret: "" useWorkloadIdentity: false s3: # Set an existing secret for S3 accesskey and secretkey # keys in the secret should be REGISTRY_STORAGE_S3_ACCESSKEY and REGISTRY_STORAGE_S3_SECRETKEY for registry #existingSecret: "" region: us-west-1 bucket: bucketname #accesskey: awsaccesskey #secretkey: awssecretkey #regionendpoint: http://myobjects.local #encrypt: false #keyid: mykeyid #secure: true #skipverify: false #v4auth: true #chunksize: "5242880" #rootdirectory: /s3/object/name/prefix #storageclass: STANDARD #multipartcopychunksize: "33554432" #multipartcopymaxconcurrency: 100 #multipartcopythresholdsize: "33554432" swift: authurl: https://storage.myprovider.com/v3/auth username: username password: password container: containername # keys in existing secret must be REGISTRY_STORAGE_SWIFT_PASSWORD, REGISTRY_STORAGE_SWIFT_SECRETKEY, REGISTRY_STORAGE_SWIFT_ACCESSKEY existingSecret: "" #region: fr #tenant: tenantname #tenantid: tenantid #domain: domainname #domainid: domainid #trustid: trustid #insecureskipverify: false #chunksize: 5M #prefix: #secretkey: secretkey #accesskey: accesskey #authversion: 3 #endpointtype: public #tempurlcontainerkey: false #tempurlmethods: oss: accesskeyid: accesskeyid accesskeysecret: accesskeysecret region: regionname bucket: bucketname # key in existingSecret must be REGISTRY_STORAGE_OSS_ACCESSKEYSECRET existingSecret: "" #endpoint: endpoint #internal: false #encrypt: false #secure: true #chunksize: 10M #rootdirectory: rootdirectory # The initial password of Harbor admin. Change it from portal after launching Harbor # or give an existing secret for it # key in secret is given via (default to HARBOR_ADMIN_PASSWORD) # existingSecretAdminPassword: existingSecretAdminPasswordKey: HARBOR_ADMIN_PASSWORD harborAdminPassword: "Harbor12345" # The internal TLS used for harbor components secure communicating. In order to enable https # in each component tls cert files need to provided in advance. internalTLS: # If internal TLS enabled enabled: false # enable strong ssl ciphers (default: false) strong_ssl_ciphers: false # There are three ways to provide tls # 1) "auto" will generate cert automatically # 2) "manual" need provide cert file manually in following value # 3) "secret" internal certificates from secret certSource: "auto" # The content of trust ca, only available when `certSource` is "manual" trustCa: "" # core related cert configuration core: # secret name for core's tls certs secretName: "" # Content of core's TLS cert file, only available when `certSource` is "manual" crt: "" # Content of core's TLS key file, only available when `certSource` is "manual" key: "" # jobservice related cert configuration jobservice: # secret name for jobservice's tls certs secretName: "" # Content of jobservice's TLS key file, only available when `certSource` is "manual" crt: "" # Content of jobservice's TLS key file, only available when `certSource` is "manual" key: "" # registry related cert configuration registry: # secret name for registry's tls certs secretName: "" # Content of registry's TLS key file, only available when `certSource` is "manual" crt: "" # Content of registry's TLS key file, only available when `certSource` is "manual" key: "" # portal related cert configuration portal: # secret name for portal's tls certs secretName: "" # Content of portal's TLS key file, only available when `certSource` is "manual" crt: "" # Content of portal's TLS key file, only available when `certSource` is "manual" key: "" # trivy related cert configuration trivy: # secret name for trivy's tls certs secretName: "" # Content of trivy's TLS key file, only available when `certSource` is "manual" crt: "" # Content of trivy's TLS key file, only available when `certSource` is "manual" key: "" ipFamily: # ipv6Enabled set to true if ipv6 is enabled in cluster, currently it affected the nginx related component ipv6: enabled: true # ipv4Enabled set to true if ipv4 is enabled in cluster, currently it affected the nginx related component ipv4: enabled: true imagePullPolicy: IfNotPresent # Use this set to assign a list of default pullSecrets imagePullSecrets: # - name: docker-registry-secret # - name: internal-registry-secret # The update strategy for deployments with persistent volumes(jobservice, registry): "RollingUpdate" or "Recreate" # Set it as "Recreate" when "RWM" for volumes isn't supported updateStrategy: type: RollingUpdate # debug, info, warning, error or fatal logLevel: info # The name of the secret which contains key named "ca.crt". Setting this enables the # download link on portal to download the CA certificate when the certificate isn't # generated automatically caSecretName: "" # The secret key used for encryption. Must be a string of 16 chars. secretKey: "not-a-secure-key" # If using existingSecretSecretKey, the key must be secretKey existingSecretSecretKey: "" # The proxy settings for updating trivy vulnerabilities from the Internet and replicating # artifacts from/to the registries that cannot be reached directly proxy: httpProxy: httpsProxy: noProxy: 127.0.0.1,localhost,.local,.internal components: - core - jobservice - trivy # Run the migration job via helm hook enableMigrateHelmHook: false # The custom ca bundle secret, the secret must contain key named "ca.crt" # which will be injected into the trust store for core, jobservice, registry, trivy components # caBundleSecretName: "" ## UAA Authentication Options # If you're using UAA for authentication behind a self-signed # certificate you will need to provide the CA Cert. # Set uaaSecretName below to provide a pre-created secret that # contains a base64 encoded CA Certificate named `ca.crt`. # uaaSecretName: metrics: enabled: false core: path: /metrics port: 8001 registry: path: /metrics port: 8001 jobservice: path: /metrics port: 8001 exporter: path: /metrics port: 8001 ## Create prometheus serviceMonitor to scrape harbor metrics. ## This requires the monitoring.coreos.com/v1 CRD. Please see ## https://github.com/prometheus-operator/prometheus-operator/blob/main/Documentation/user-guides/getting-started.md ## serviceMonitor: enabled: false additionalLabels: {} # Scrape interval. If not set, the Prometheus default scrape interval is used. interval: "" # Metric relabel configs to apply to samples before ingestion. metricRelabelings: [] # - action: keep # regex: 'kube_(daemonset|deployment|pod|namespace|node|statefulset).+' # sourceLabels: [__name__] # Relabel configs to apply to samples before ingestion. relabelings: [] # - sourceLabels: [__meta_kubernetes_pod_node_name] # separator: ; # regex: ^(.*)$ # targetLabel: nodename # replacement: $1 # action: replace trace: enabled: false # trace provider: jaeger or otel # jaeger should be 1.26+ provider: jaeger # set sample_rate to 1 if you wanna sampling 100% of trace data; set 0.5 if you wanna sampling 50% of trace data, and so forth sample_rate: 1 # namespace used to differentiate different harbor services # namespace: # attributes is a key value dict contains user defined attributes used to initialize trace provider # attributes: # application: harbor jaeger: # jaeger supports two modes: # collector mode(uncomment endpoint and uncomment username, password if needed) # agent mode(uncomment agent_host and agent_port) endpoint: http://hostname:14268/api/traces # username: # password: # agent_host: hostname # export trace data by jaeger.thrift in compact mode # agent_port: 6831 otel: endpoint: hostname:4318 url_path: /v1/traces compression: false insecure: true # timeout is in seconds timeout: 10 # cache layer configurations # if this feature enabled, harbor will cache the resource # `project/project_metadata/repository/artifact/manifest` in the redis # which help to improve the performance of high concurrent pulling manifest. cache: # default is not enabled. enabled: false # default keep cache for one day. expireHours: 24 ## set Container Security Context to comply with PSP restricted policy if necessary ## each of the conatiner will apply the same security context ## containerSecurityContext:{} is initially an empty yaml that you could edit it on demand, we just filled with a common template for convenience containerSecurityContext: privileged: false allowPrivilegeEscalation: false seccompProfile: type: RuntimeDefault runAsNonRoot: true capabilities: drop: - ALL # If service exposed via "ingress", the Nginx will not be used nginx: image: repository: registry.cn-guangzhou.aliyuncs.com/xingcangku/nginx-photon tag: v2.13.0 # set the service account to be used, default if left empty serviceAccountName: "" # mount the service account token automountServiceAccountToken: false replicas: 1 revisionHistoryLimit: 10 # resources: # requests: # memory: 256Mi # cpu: 100m extraEnvVars: [] nodeSelector: {} tolerations: [] affinity: {} # Spread Pods across failure-domains like regions, availability zones or nodes topologySpreadConstraints: [] # - maxSkew: 1 # topologyKey: topology.kubernetes.io/zone # nodeTaintsPolicy: Honor # whenUnsatisfiable: DoNotSchedule ## Additional deployment annotations podAnnotations: {} ## Additional deployment labels podLabels: {} ## The priority class to run the pod as priorityClassName: portal: image: repository: registry.cn-guangzhou.aliyuncs.com/xingcangku/harbor-portal tag: v2.13.0 # set the service account to be used, default if left empty serviceAccountName: "" # mount the service account token automountServiceAccountToken: false replicas: 1 revisionHistoryLimit: 10 # resources: # requests: # memory: 256Mi # cpu: 100m extraEnvVars: [] nodeSelector: {} tolerations: [] affinity: {} # Spread Pods across failure-domains like regions, availability zones or nodes topologySpreadConstraints: [] # - maxSkew: 1 # topologyKey: topology.kubernetes.io/zone # nodeTaintsPolicy: Honor # whenUnsatisfiable: DoNotSchedule ## Additional deployment annotations podAnnotations: {} ## Additional deployment labels podLabels: {} ## Additional service annotations serviceAnnotations: {} ## The priority class to run the pod as priorityClassName: # containers to be run before the controller's container starts. initContainers: [] # Example: # # - name: wait # image: busybox # command: [ 'sh', '-c', "sleep 20" ] core: image: repository: registry.cn-guangzhou.aliyuncs.com/xingcangku/harbor-core tag: v2.13.0 # set the service account to be used, default if left empty serviceAccountName: "" # mount the service account token automountServiceAccountToken: false replicas: 1 revisionHistoryLimit: 10 ## Startup probe values startupProbe: enabled: true initialDelaySeconds: 10 # resources: # requests: # memory: 256Mi # cpu: 100m extraEnvVars: [] nodeSelector: {} tolerations: [] affinity: {} # Spread Pods across failure-domains like regions, availability zones or nodes topologySpreadConstraints: [] # - maxSkew: 1 # topologyKey: topology.kubernetes.io/zone # nodeTaintsPolicy: Honor # whenUnsatisfiable: DoNotSchedule ## Additional deployment annotations podAnnotations: {} ## Additional deployment labels podLabels: {} ## Additional service annotations serviceAnnotations: {} ## The priority class to run the pod as priorityClassName: # containers to be run before the controller's container starts. initContainers: [] # Example: # # - name: wait # image: busybox # command: [ 'sh', '-c', "sleep 20" ] ## User settings configuration json string configureUserSettings: # The provider for updating project quota(usage), there are 2 options, redis or db. # By default it is implemented by db but you can configure it to redis which # can improve the performance of high concurrent pushing to the same project, # and reduce the database connections spike and occupies. # Using redis will bring up some delay for quota usage updation for display, so only # suggest switch provider to redis if you were ran into the db connections spike around # the scenario of high concurrent pushing to same project, no improvment for other scenes. quotaUpdateProvider: db # Or redis # Secret is used when core server communicates with other components. # If a secret key is not specified, Helm will generate one. Alternatively set existingSecret to use an existing secret # Must be a string of 16 chars. secret: "" # Fill in the name of a kubernetes secret if you want to use your own # If using existingSecret, the key must be secret existingSecret: "" # Fill the name of a kubernetes secret if you want to use your own # TLS certificate and private key for token encryption/decryption. # The secret must contain keys named: # "tls.key" - the private key # "tls.crt" - the certificate secretName: "" # If not specifying a preexisting secret, a secret can be created from tokenKey and tokenCert and used instead. # If none of secretName, tokenKey, and tokenCert are specified, an ephemeral key and certificate will be autogenerated. # tokenKey and tokenCert must BOTH be set or BOTH unset. # The tokenKey value is formatted as a multiline string containing a PEM-encoded RSA key, indented one more than tokenKey on the following line. tokenKey: | # If tokenKey is set, the value of tokenCert must be set as a PEM-encoded certificate signed by tokenKey, and supplied as a multiline string, indented one more than tokenCert on the following line. tokenCert: | # The XSRF key. Will be generated automatically if it isn't specified # While you specified, Please make sure it is 32 characters, otherwise would have validation issue at the harbor-core runtime # https://github.com/goharbor/harbor/pull/21154 xsrfKey: "" # If using existingSecret, the key is defined by core.existingXsrfSecretKey existingXsrfSecret: "" # If using existingSecret, the key existingXsrfSecretKey: CSRF_KEY # The time duration for async update artifact pull_time and repository # pull_count, the unit is second. Will be 10 seconds if it isn't set. # eg. artifactPullAsyncFlushDuration: 10 artifactPullAsyncFlushDuration: gdpr: deleteUser: false auditLogsCompliant: false jobservice: image: repository: registry.cn-guangzhou.aliyuncs.com/xingcangku/harbor-jobservice tag: v2.13.0 # set the service account to be used, default if left empty serviceAccountName: "" # mount the service account token automountServiceAccountToken: false replicas: 1 revisionHistoryLimit: 10 # resources: # requests: # memory: 256Mi # cpu: 100m extraEnvVars: [] nodeSelector: {} tolerations: [] affinity: {} # Spread Pods across failure-domains like regions, availability zones or nodes topologySpreadConstraints: # - maxSkew: 1 # topologyKey: topology.kubernetes.io/zone # nodeTaintsPolicy: Honor # whenUnsatisfiable: DoNotSchedule ## Additional deployment annotations podAnnotations: {} ## Additional deployment labels podLabels: {} ## The priority class to run the pod as priorityClassName: # containers to be run before the controller's container starts. initContainers: [] # Example: # # - name: wait # image: busybox # command: [ 'sh', '-c', "sleep 20" ] maxJobWorkers: 10 # The logger for jobs: "file", "database" or "stdout" jobLoggers: - file # - database # - stdout # The jobLogger sweeper duration (ignored if `jobLogger` is `stdout`) loggerSweeperDuration: 14 #days notification: webhook_job_max_retry: 3 webhook_job_http_client_timeout: 3 # in seconds reaper: # the max time to wait for a task to finish, if unfinished after max_update_hours, the task will be mark as error, but the task will continue to run, default value is 24 max_update_hours: 24 # the max time for execution in running state without new task created max_dangling_hours: 168 # Secret is used when job service communicates with other components. # If a secret key is not specified, Helm will generate one. # Must be a string of 16 chars. secret: "" # Use an existing secret resource existingSecret: "" # Key within the existing secret for the job service secret existingSecretKey: JOBSERVICE_SECRET registry: registry: image: repository: registry.cn-guangzhou.aliyuncs.com/xingcangku/registry-photon tag: v2.13.0 # resources: # requests: # memory: 256Mi # cpu: 100m extraEnvVars: [] controller: image: repository: registry.cn-guangzhou.aliyuncs.com/xingcangku/harbor-registryctl tag: v2.13.0 # resources: # requests: # memory: 256Mi # cpu: 100m extraEnvVars: [] # set the service account to be used, default if left empty serviceAccountName: "" # mount the service account token automountServiceAccountToken: false replicas: 1 revisionHistoryLimit: 10 nodeSelector: {} tolerations: [] affinity: {} # Spread Pods across failure-domains like regions, availability zones or nodes topologySpreadConstraints: [] # - maxSkew: 1 # topologyKey: topology.kubernetes.io/zone # nodeTaintsPolicy: Honor # whenUnsatisfiable: DoNotSchedule ## Additional deployment annotations podAnnotations: {} ## Additional deployment labels podLabels: {} ## The priority class to run the pod as priorityClassName: # containers to be run before the controller's container starts. initContainers: [] # Example: # # - name: wait # image: busybox # command: [ 'sh', '-c', "sleep 20" ] # Secret is used to secure the upload state from client # and registry storage backend. # See: https://github.com/distribution/distribution/blob/release/2.8/docs/configuration.md#http # If a secret key is not specified, Helm will generate one. # Must be a string of 16 chars. secret: "" # Use an existing secret resource existingSecret: "" # Key within the existing secret for the registry service secret existingSecretKey: REGISTRY_HTTP_SECRET # If true, the registry returns relative URLs in Location headers. The client is responsible for resolving the correct URL. relativeurls: false credentials: username: "harbor_registry_user" password: "harbor_registry_password" # If using existingSecret, the key must be REGISTRY_PASSWD and REGISTRY_HTPASSWD existingSecret: "" # Login and password in htpasswd string format. Excludes `registry.credentials.username` and `registry.credentials.password`. May come in handy when integrating with tools like argocd or flux. This allows the same line to be generated each time the template is rendered, instead of the `htpasswd` function from helm, which generates different lines each time because of the salt. # htpasswdString: $apr1$XLefHzeG$Xl4.s00sMSCCcMyJljSZb0 # example string htpasswdString: "" middleware: enabled: false type: cloudFront cloudFront: baseurl: example.cloudfront.net keypairid: KEYPAIRID duration: 3000s ipfilteredby: none # The secret key that should be present is CLOUDFRONT_KEY_DATA, which should be the encoded private key # that allows access to CloudFront privateKeySecret: "my-secret" # enable purge _upload directories upload_purging: enabled: true # remove files in _upload directories which exist for a period of time, default is one week. age: 168h # the interval of the purge operations interval: 24h dryrun: false trivy: # enabled the flag to enable Trivy scanner enabled: true image: # repository the repository for Trivy adapter image repository: registry.cn-guangzhou.aliyuncs.com/xingcangku/trivy-adapter-photon # tag the tag for Trivy adapter image tag: v2.13.0 # set the service account to be used, default if left empty serviceAccountName: "" # mount the service account token automountServiceAccountToken: false # replicas the number of Pod replicas replicas: 1 resources: requests: cpu: 200m memory: 512Mi limits: cpu: 1 memory: 1Gi extraEnvVars: [] nodeSelector: {} tolerations: [] affinity: {} # Spread Pods across failure-domains like regions, availability zones or nodes topologySpreadConstraints: [] # - maxSkew: 1 # topologyKey: topology.kubernetes.io/zone # nodeTaintsPolicy: Honor # whenUnsatisfiable: DoNotSchedule ## Additional deployment annotations podAnnotations: {} ## Additional deployment labels podLabels: {} ## The priority class to run the pod as priorityClassName: # containers to be run before the controller's container starts. initContainers: [] # Example: # # - name: wait # image: busybox # command: [ 'sh', '-c', "sleep 20" ] # debugMode the flag to enable Trivy debug mode with more verbose scanning log debugMode: false # vulnType a comma-separated list of vulnerability types. Possible values are `os` and `library`. vulnType: "os,library" # severity a comma-separated list of severities to be checked severity: "UNKNOWN,LOW,MEDIUM,HIGH,CRITICAL" # ignoreUnfixed the flag to display only fixed vulnerabilities ignoreUnfixed: false # insecure the flag to skip verifying registry certificate insecure: false # gitHubToken the GitHub access token to download Trivy DB # # Trivy DB contains vulnerability information from NVD, Red Hat, and many other upstream vulnerability databases. # It is downloaded by Trivy from the GitHub release page https://github.com/aquasecurity/trivy-db/releases and cached # in the local file system (`/home/scanner/.cache/trivy/db/trivy.db`). In addition, the database contains the update # timestamp so Trivy can detect whether it should download a newer version from the Internet or use the cached one. # Currently, the database is updated every 12 hours and published as a new release to GitHub. # # Anonymous downloads from GitHub are subject to the limit of 60 requests per hour. Normally such rate limit is enough # for production operations. If, for any reason, it's not enough, you could increase the rate limit to 5000 # requests per hour by specifying the GitHub access token. For more details on GitHub rate limiting please consult # https://developer.github.com/v3/#rate-limiting # # You can create a GitHub token by following the instructions in # https://help.github.com/en/github/authenticating-to-github/creating-a-personal-access-token-for-the-command-line gitHubToken: "" # skipUpdate the flag to disable Trivy DB downloads from GitHub # # You might want to set the value of this flag to `true` in test or CI/CD environments to avoid GitHub rate limiting issues. # If the value is set to `true` you have to manually download the `trivy.db` file and mount it in the # `/home/scanner/.cache/trivy/db/trivy.db` path. skipUpdate: false # skipJavaDBUpdate If the flag is enabled you have to manually download the `trivy-java.db` file and mount it in the # `/home/scanner/.cache/trivy/java-db/trivy-java.db` path # skipJavaDBUpdate: false # The offlineScan option prevents Trivy from sending API requests to identify dependencies. # # Scanning JAR files and pom.xml may require Internet access for better detection, but this option tries to avoid it. # For example, the offline mode will not try to resolve transitive dependencies in pom.xml when the dependency doesn't # exist in the local repositories. It means a number of detected vulnerabilities might be fewer in offline mode. # It would work if all the dependencies are in local. # This option doesn’t affect DB download. You need to specify skipUpdate as well as offlineScan in an air-gapped environment. offlineScan: false # Comma-separated list of what security issues to detect. Defaults to `vuln`. securityCheck: "vuln" # The duration to wait for scan completion timeout: 5m0s database: # if external database is used, set "type" to "external" # and fill the connection information in "external" section type: internal internal: image: repository: registry.cn-guangzhou.aliyuncs.com/xingcangku/harbor-db tag: v2.13.0 # set the service account to be used, default if left empty serviceAccountName: "" # mount the service account token automountServiceAccountToken: false # resources: # requests: # memory: 256Mi # cpu: 100m # The timeout used in livenessProbe; 1 to 5 seconds livenessProbe: timeoutSeconds: 1 # The timeout used in readinessProbe; 1 to 5 seconds readinessProbe: timeoutSeconds: 1 extraEnvVars: [] nodeSelector: {} tolerations: [] affinity: {} ## The priority class to run the pod as priorityClassName: # containers to be run before the controller's container starts. extrInitContainers: [] # Example: # # - name: wait # image: busybox # command: [ 'sh', '-c', "sleep 20" ] # The initial superuser password for internal database password: "changeit" # The size limit for Shared memory, pgSQL use it for shared_buffer # More details see: # https://github.com/goharbor/harbor/issues/15034 shmSizeLimit: 512Mi initContainer: migrator: {} # resources: # requests: # memory: 128Mi # cpu: 100m permissions: {} # resources: # requests: # memory: 128Mi # cpu: 100m external: host: "192.168.0.1" port: "5432" username: "user" password: "password" coreDatabase: "registry" # if using existing secret, the key must be "password" existingSecret: "" # "disable" - No SSL # "require" - Always SSL (skip verification) # "verify-ca" - Always SSL (verify that the certificate presented by the # server was signed by a trusted CA) # "verify-full" - Always SSL (verify that the certification presented by the # server was signed by a trusted CA and the server host name matches the one # in the certificate) sslmode: "disable" # The maximum number of connections in the idle connection pool per pod (core+exporter). # If it <=0, no idle connections are retained. maxIdleConns: 100 # The maximum number of open connections to the database per pod (core+exporter). # If it <= 0, then there is no limit on the number of open connections. # Note: the default number of connections is 1024 for harbor's postgres. maxOpenConns: 900 ## Additional deployment annotations podAnnotations: {} ## Additional deployment labels podLabels: {} redis: # if external Redis is used, set "type" to "external" # and fill the connection information in "external" section type: internal internal: image: repository: registry.cn-guangzhou.aliyuncs.com/xingcangku/redis-photon tag: v2.13.0 # set the service account to be used, default if left empty serviceAccountName: "" # mount the service account token automountServiceAccountToken: false # resources: # requests: # memory: 256Mi # cpu: 100m extraEnvVars: [] nodeSelector: {} tolerations: [] affinity: {} ## The priority class to run the pod as priorityClassName: # containers to be run before the controller's container starts. initContainers: [] # Example: # # - name: wait # image: busybox # command: [ 'sh', '-c', "sleep 20" ] # # jobserviceDatabaseIndex defaults to "1" # # registryDatabaseIndex defaults to "2" # # trivyAdapterIndex defaults to "5" # # harborDatabaseIndex defaults to "0", but it can be configured to "6", this config is optional # # cacheLayerDatabaseIndex defaults to "0", but it can be configured to "7", this config is optional jobserviceDatabaseIndex: "1" registryDatabaseIndex: "2" trivyAdapterIndex: "5" # harborDatabaseIndex: "6" # cacheLayerDatabaseIndex: "7" external: # support redis, redis+sentinel # addr for redis: <host_redis>:<port_redis> # addr for redis+sentinel: <host_sentinel1>:<port_sentinel1>,<host_sentinel2>:<port_sentinel2>,<host_sentinel3>:<port_sentinel3> addr: "192.168.0.2:6379" # The name of the set of Redis instances to monitor, it must be set to support redis+sentinel sentinelMasterSet: "" # TLS configuration for redis connection # only server-authentication is supported, mTLS for redis connection is not supported # tls connection will be disable by default # Once `tlsOptions.enable` set as true, tls/ssl connection will be used for redis # Please set the `caBundleSecretName` in this configuration file which conatins redis server rootCA if it is self-signed. # The secret must contain keys named "ca.crt" which will be injected into the trust store tlsOptions: enable: false # The "coreDatabaseIndex" must be "0" as the library Harbor # used doesn't support configuring it # harborDatabaseIndex defaults to "0", but it can be configured to "6", this config is optional # cacheLayerDatabaseIndex defaults to "0", but it can be configured to "7", this config is optional coreDatabaseIndex: "0" jobserviceDatabaseIndex: "1" registryDatabaseIndex: "2" trivyAdapterIndex: "5" # harborDatabaseIndex: "6" # cacheLayerDatabaseIndex: "7" # username field can be an empty string, and it will be authenticated against the default user username: "" password: "" # If using existingSecret, the key must be REDIS_PASSWORD existingSecret: "" ## Additional deployment annotations podAnnotations: {} ## Additional deployment labels podLabels: {} exporter: image: repository: registry.cn-guangzhou.aliyuncs.com/xingcangku/harbor-exporter tag: v2.13.0 serviceAccountName: "" # mount the service account token automountServiceAccountToken: false replicas: 1 revisionHistoryLimit: 10 # resources: # requests: # memory: 256Mi # cpu: 100m extraEnvVars: [] podAnnotations: {} ## Additional deployment labels podLabels: {} nodeSelector: {} tolerations: [] affinity: {} # Spread Pods across failure-domains like regions, availability zones or nodes topologySpreadConstraints: [] ## The priority class to run the pod as priorityClassName: # - maxSkew: 1 # topologyKey: topology.kubernetes.io/zone # nodeTaintsPolicy: Honor # whenUnsatisfiable: DoNotSchedule cacheDuration: 23 cacheCleanInterval: 14400
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Helm命令 一、升级Helm版本root@k8s01:~/helm/harbor# helm list -A NAME NAMESPACE REVISION UPDATED STATUS CHART APP VERSION ceph-csi-cephfs ceph-csi-cephfs 1 2025-05-26 18:32:41.809322395 +0000 UTC deployed ceph-csi-rbd-3-canary canary ceph-csi-rbd ceph-csi-rbd 1 2025-05-26 18:26:58.557977154 +0000 UTC deployed ceph-csi-cephfs-3-canary canary harbor harbor 2 2025-07-27 06:12:45.385163599 +0000 UTC deployed harbor-1.17.0 2.13.0 nfs-subdir-external-provisioner kube-system 1 2025-06-15 10:31:25.632197317 +0000 UTC deployed nfs-subdir-external-provisioner-4.0.18 4.0.2 traefik-crds traefik 2 2025-06-05 14:35:34.23815576 +0000 UTC deployed traefik-35.4.0 v3.4.0 root@k8s01:~/helm/harbor # root@k8s01:~/helm/harbor # root@k8s01:~/helm/harbor # helm upgrade harbor . -f values.yaml -n harbor 发布“港口”已升级。祝您掌舵愉快！ 名称：港口 最后部署时间：2025年7月27日 星期日 06:12:45 所属空间： 港口 状态：已部署 修订：2 测试套件：无 笔记： 请等待完成港口部署。 然后你应该能够访问 Harbor 门户 https://192.168.3.200:30003 更多详情请访问 https://github.com/goharbor/harbor root@k8s01:~/helm/harbor # 二、升级操作建议# 确认在正确的目录 cd ~/helm/harbor # 执行升级（使用正确的命名空间） helm upgrade harbor . -f values.yaml -n harbor三、升级后验证#查看升级状态 root@k8s01:~/helm/harbor# helm history harbor -n harbor REVISION UPDATED STATUS CHART APP VERSION DESCRIPTION 1 Tue May 27 15:33:51 2025 superseded harbor-1.17.0 2.13.0 Install complete 2 Sun Jul 27 06:12:45 2025 deployed harbor-1.17.0 2.13.0 Upgrade complete #如果想回滚之前的版本 helm rollback harbor 1 -n harbor - rollback：回滚命令 - harbor：Release 名称 - 1：目标 Revision 号 - -n harbor：指定命名空间 # 查看 Pod 状态 kubectl get pods -n harbor -w # 检查Service的NodePort kubectl get svc -n harbor | grep NodePort
