1、首先确保集群已经安装了helm工具。
2、直接添加harbor的helm repo
代码语言：txt复制helm repo add https://helm.goharbor.io4、去官网下载对应安装版本的helm包的value.yaml文件，这里以helm包V1.8.0版本为例（对应app版本为V2.4.0）
代码语言：txt复制expose:
# Set the way how to expose the service. Set the type as "ingress",
# "clusterIP", "nodePort" or "loadBalancer" and fill the information
# in the corresponding section
type: ingress
tls:
# Enable the 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 the tls
# is disabled, the port must be included in the command when pull/push
# images. Refer to https://github.com/goharbor/harbor/issues/5291
# for the detail.
enabled: true
# The source of the tls certificate. Set it 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: secret
ingress:
hosts:
core: harbor-lite.tech.21cn.com
notary: notary.harbor.tech.21cn.com
# 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
controller: default
## Allow .Capabilities.KubeVersion.Version to be overridden while creating ingress
kubeVersionOverride: ""
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"
notary:
# notary-specific annotations
annotations: {}
harbor:
# harbor ingress-specific annotations
annotations: {}
clusterIP:
# The name of ClusterIP service
name: harbor
# Annotations on the ClusterIP service
annotations: {}
ports:
# The service port Harbor listens on when serving with HTTP
httpPort: 80
# The service port Harbor listens on when serving with HTTPS
httpsPort: 443
# The service port Notary listens on. Only needed when notary.enabled
# is set to true
notaryPort: 4443
nodePort:
# The name of NodePort service
name: harbor
ports:
http:
# The service port Harbor listens on when serving with HTTP
port: 80
# The node port Harbor listens on when serving with HTTP
nodePort: 30002
https:
# The service port Harbor listens on when serving with HTTPS
port: 443
# The node port Harbor listens on when serving with HTTPS
nodePort: 30003
# Only needed when notary.enabled is set to true
notary:
# The service port Notary listens on
port: 4443
# The node port Notary listens on
nodePort: 30004
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 with HTTP
httpPort: 80
# The service port Harbor listens on when serving with HTTPS
httpsPort: 443
# The service port Notary listens on. Only needed when notary.enabled
# is set to true
notaryPort: 4443
annotations: {}
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/notary 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://harbor-lite.tech.21cn.com
# The internal TLS used for harbor components secure communicating. In order to enable https
# in each components tls cert files need to provided in advance.
internalTLS:
# If internal TLS enabled
enabled: 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: ""
# chartmuseum related cert configuration
chartmuseum:
# secret name for chartmuseum's tls certs
secretName: ""
# Content of chartmuseum's TLS key file, only available when `certSource` is "manual"
crt: ""
# Content of chartmuseum'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
# The persistence is enabled by default and a default StorageClass
# is needed in the k8s cluster to provision volumes dynamicly.
# Specify another StorageClass in the "storageClass" or set "existingClaim"
# if you have already 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: ""
subPath: ""
accessMode: ReadWriteOnce
size: 100Gi
chartmuseum:
existingClaim: ""
storageClass: ""
subPath: ""
accessMode: ReadWriteOnce
size: 15Gi
jobservice:
existingClaim: ""
storageClass: ""
subPath: ""
accessMode: ReadWriteOnce
size: 1Gi
# If external database is used, the following settings for database will
# be ignored
database:
existingClaim: ""
storageClass: ""
subPath: ""
accessMode: ReadWriteOnce
size: 1Gi
# If external Redis is used, the following settings for Redis will
# be ignored
redis:
existingClaim: ""
storageClass: ""
subPath: ""
accessMode: ReadWriteOnce
size: 1Gi
trivy:
existingClaim: ""
storageClass: ""
subPath: ""
accessMode: ReadWriteOnce
size: 5Gi
# Define which storage backend is used for registry and chartmuseum to store
# images and charts. Refer to
# https://github.com/docker/distribution/blob/master/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/docker/distribution/blob/master/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 and chartmuseum'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
# and chartmuseum
type: filesystem
filesystem:
rootdirectory: /storage
#maxthreads: 100
azure:
accountname: accountname
accountkey: base64encodedaccountkey
container: containername
#realm: core.windows.net
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"
s3:
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
#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
#endpoint: endpoint
#internal: false
#encrypt: false
#secure: true
#chunksize: 10M
#rootdirectory: rootdirectory
imagePullPolicy: IfNotPresent
# Use this set to assign a list of default pullSecrets
imagePullSecrets:
- name: harbor-admin
# - name: internal-registry-secret
# The update strategy for deployments with persistent volumes(jobservice, registry
# and chartmuseum): "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 initial password of Harbor admin. Change it from portal after launching Harbor
harborAdminPassword: "xxxxxx"
# 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
# The custom ca bundle secret, the secret must contain key named "ca.crt"
# which will be injected into the trust store for chartmuseum, 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:
# If expose the service via "ingress", the Nginx will not be used
nginx:
image:
repository: goharbor/nginx-photon
tag: v2.4.0
# set the service account to be used, default if left empty
serviceAccountName: ""
# mount the service account token
automountServiceAccountToken: false
replicas: 1
# resources:
# requests:
# memory: 256Mi
# cpu: 100m
nodeSelector: {}
tolerations: []
affinity: {}
## Additional deployment annotations
podAnnotations: {}
## The priority class to run the pod as
priorityClassName:
portal:
image:
repository: goharbor/harbor-portal
tag: v2.4.0
# set the service account to be used, default if left empty
serviceAccountName: ""
# mount the service account token
automountServiceAccountToken: false
replicas: 1
# resources:
# requests:
# memory: 256Mi
# cpu: 100m
nodeSelector: {}
tolerations: []
affinity: {}
## Additional deployment annotations
podAnnotations: {}
## The priority class to run the pod as
priorityClassName:
core:
image:
repository: goharbor/harbor-core
tag: v2.4.0
# set the service account to be used, default if left empty
serviceAccountName: ""
# mount the service account token
automountServiceAccountToken: false
replicas: 1
## Startup probe values
startupProbe:
enabled: true
initialDelaySeconds: 10
# resources:
# requests:
# memory: 256Mi
# cpu: 100m
nodeSelector: {}
tolerations: []
affinity: {}
## Additional deployment annotations
podAnnotations: {}
# Secret is used when core server communicates with other components.
# If a secret key is not specified, Helm will generate one.
# Must be a string of 16 chars.
secret: ""
# 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.crt" - the certificate
# "tls.key" - the private key
# The default key pair will be used if it isn't set
secretName: ""
# The XSRF key. Will be generated automatically if it isn't specified
xsrfKey: ""
## The priority class to run the pod as
priorityClassName:
jobservice:
image:
repository: goharbor/harbor-jobservice
tag: v2.4.0
replicas: 1
# set the service account to be used, default if left empty
serviceAccountName: ""
# mount the service account token
automountServiceAccountToken: false
maxJobWorkers: 10
# The logger for jobs: "file", "database" or "stdout"
jobLoggers:
- file
# - database
# - stdout
# resources:
# requests:
# memory: 256Mi
# cpu: 100m
nodeSelector: {}
tolerations: []
affinity: {}
## Additional deployment annotations
podAnnotations: {}
# 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: ""
## The priority class to run the pod as
priorityClassName:
registry:
# set the service account to be used, default if left empty
serviceAccountName: ""
# mount the service account token
automountServiceAccountToken: false
registry:
image:
repository: goharbor/registry-photon
tag: v2.4.0
# resources:
# requests:
# memory: 256Mi
# cpu: 100m
controller:
image:
repository: goharbor/harbor-registryctl
tag: v2.4.0
# resources:
# requests:
# memory: 256Mi
# cpu: 100m
replicas: 1
nodeSelector: {}
tolerations: []
affinity: {}
## Additional deployment annotations
podAnnotations: {}
## The priority class to run the pod as
priorityClassName:
# Secret is used to secure the upload state from client
# and registry storage backend.
# See: https://github.com/docker/distribution/blob/master/docs/configuration.md#http
# If a secret key is not specified, Helm will generate one.
# Must be a string of 16 chars.
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"
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"
chartmuseum:
enabled: true
# set the service account to be used, default if left empty
serviceAccountName: ""
# mount the service account token
automountServiceAccountToken: false
# Harbor defaults ChartMuseum to returning relative urls, if you want using absolute url you should enable it by change the following value to 'true'
absoluteUrl: false
image:
repository: goharbor/chartmuseum-photon
tag: v2.4.0
replicas: 1
# resources:
# requests:
# memory: 256Mi
# cpu: 100m
nodeSelector: {}
tolerations: []
affinity: {}
## Additional deployment annotations
podAnnotations: {}
## The priority class to run the pod as
priorityClassName:
## limit the number of parallel indexers
indexLimit: 0
trivy:
# enabled the flag to enable Trivy scanner
enabled: true
image:
# repository the repository for Trivy adapter image
repository: goharbor/trivy-adapter-photon
# tag the tag for Trivy adapter image
tag: v2.4.0
# 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
# 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
# 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
# The duration to wait for scan completion
timeout: 5m0s
resources:
requests:
cpu: 200m
memory: 512Mi
limits:
cpu: 1
memory: 1Gi
nodeSelector: {}
tolerations: []
affinity: {}
## Additional deployment annotations
podAnnotations: {}
## The priority class to run the pod as
priorityClassName:
notary:
enabled: false
server:
# set the service account to be used, default if left empty
serviceAccountName: ""
# mount the service account token
automountServiceAccountToken: false
image:
repository: goharbor/notary-server-photon
tag: v2.4.0
replicas: 1
# resources:
# requests:
# memory: 256Mi
# cpu: 100m
nodeSelector: {}
tolerations: []
affinity: {}
## Additional deployment annotations
podAnnotations: {}
## The priority class to run the pod as
priorityClassName:
signer:
# set the service account to be used, default if left empty
serviceAccountName: ""
# mount the service account token
automountServiceAccountToken: false
image:
repository: goharbor/notary-signer-photon
tag: v2.4.0
replicas: 1
# resources:
# requests:
# memory: 256Mi
# cpu: 100m
nodeSelector: {}
tolerations: []
affinity: {}
## Additional deployment annotations
podAnnotations: {}
## The priority class to run the pod as
priorityClassName:
# Fill the name of a kubernetes secret if you want to use your own
# TLS certificate authority, certificate and private key for notary
# communications.
# The secret must contain keys named ca.crt, tls.crt and tls.key that
# contain the CA, certificate and private key.
# They will be generated if not set.
secretName: ""
database:
# if external database is used, set "type" to "external"
# and fill the connection informations in "external" section
type: internal
internal:
# set the service account to be used, default if left empty
serviceAccountName: ""
# mount the service account token
automountServiceAccountToken: false
image:
repository: goharbor/harbor-db
tag: v2.4.0
# 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
# resources:
# requests:
# memory: 256Mi
# cpu: 100m
nodeSelector: {}
tolerations: []
affinity: {}
## The priority class to run the pod as
priorityClassName:
initContainer:
migrator: {}
# resources:
# requests:
# memory: 128Mi
# cpu: 100m
permissions: {}
# resources:
# requests:
# memory: 128Mi
# cpu: 100m
external:
host: "192.168.0.1"
port: "5432"
username: "admin"
password: "xxxxxx"
coreDatabase: "registry"
notaryServerDatabase: "notary_server"
notarySignerDatabase: "notary_signer"
# "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 postgre of harbor.
maxOpenConns: 900
## Additional deployment annotations
podAnnotations: {}
redis:
# if external Redis is used, set "type" to "external"
# and fill the connection informations in "external" section
type: internal
internal:
# set the service account to be used, default if left empty
serviceAccountName: ""
# mount the service account token
automountServiceAccountToken: false
image:
repository: goharbor/redis-photon
tag: v2.4.0
# resources:
# requests:
# memory: 256Mi
# cpu: 100m
nodeSelector: {}
tolerations: []
affinity: {}
## The priority class to run the pod as
priorityClassName:
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: ""
# The "coreDatabaseIndex" must be "0" as the library Harbor
# used doesn't support configuring it
coreDatabaseIndex: "0"
jobserviceDatabaseIndex: "1"
registryDatabaseIndex: "2"
chartmuseumDatabaseIndex: "3"
trivyAdapterIndex: "5"
password: ""
## Additional deployment annotations
podAnnotations: {}
exporter:
replicas: 1
# resources:
# requests:
# memory: 256Mi
# cpu: 100m
podAnnotations: {}
serviceAccountName: ""
# mount the service account token
automountServiceAccountToken: false
image:
repository: goharbor/harbor-exporter
tag: v2.4.0
nodeSelector: {}
tolerations: []
affinity: {}
cacheDuration: 23
cacheCleanInterval: 14400
## The priority class to run the pod as
priorityClassName:
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/master/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:
# agent mode(uncomment endpoint and uncomment username, password if needed)
# collector 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: 10s
以上为参考的配置，这里选择不安装harbor镜像签名部分，并且开启ingress作为服务暴露方式。
5、使用helm命令安装(这里指定版本1.8.0)
代码语言：txt复制helm install harbor harbor/harbor --version 1.8.0 -f 2.4.0-values.yaml -n xxx-system6、查看已经部署的资源
安装后的pod详情7、创建tls secret（harbor-tech-tls）
证书结果图8、修改ingress tls证书配置，指定为自己生成的secret
代码语言：txt复制tls:
- hosts:
- harbor-lite.xxx.com
secretName: harbor-tech-tls9、通过以下地址进行访问：https://harbor-lite.xxx.com
