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values.yaml
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## ReportPortal.io AI-powered Test Automation Dashboard
## @param nameOverride expand the name of the chart
## @param fullnameOverride expand the fully qualified app name
nameOverride: ""
fullnameOverride: ""
serviceindex:
name: index
image:
repository: reportportal/service-index
tag: 5.10.1
pullPolicy: Always
resources:
requests:
cpu: 150m
memory: 128Mi
limits:
cpu: 200m
memory: 256Mi
podLabels: {}
podAnnotations: {}
securityContext: {}
serviceAccountName: ""
## @param serviceindex.nodeSelector define which Nodes the Pods are scheduled on.
## You can choose compute classes for GKE Autopilot Pods https://cloud.google.com/kubernetes-engine/docs/concepts/autopilot-compute-classes
## Use cloud.google.com/compute-class: "COMPUTE_CLASS" for specific GKE Autopilot compute class.
## Use kubernetes.io/arch: "ARCHITECTURE" for specific GKE Autopilot CPU architecture.
## Use disktype: "ssd" for specific disk type.
nodeSelector: {}
service:
type: ""
portName: ""
nodePort: ""
extraPorts: []
serviceui:
name: ui
image:
repository: reportportal/service-ui
tag: 5.10.0
pullPolicy: Always
resources:
requests:
cpu: 100m
memory: 64Mi
limits:
cpu: 200m
memory: 128Mi
podLabels: {}
podAnnotations: {}
securityContext: {}
## @param serviceui.nodeSelector define which Nodes the Pods are scheduled on.
## You can choose compute classes for GKE Autopilot Pods https://cloud.google.com/kubernetes-engine/docs/concepts/autopilot-compute-classes
## Use cloud.google.com/compute-class: "COMPUTE_CLASS" for specific GKE Autopilot compute class.
## Use kubernetes.io/arch: "ARCHITECTURE" for specific GKE Autopilot CPU architecture.
nodeSelector: {}
serviceAccountName: ""
service:
type: ""
portName: ""
nodePort: ""
extraPorts: []
serviceapi:
name: api
image:
repository: reportportal/service-api
tag: 5.10.1
pullPolicy: Always
replicaCount: 1
readinessProbe:
enabled: true
initialDelaySeconds: 30
periodSeconds: 20
timeoutSeconds: 3
failureThreshold: 20
livenessProbe:
enabled: true
initialDelaySeconds: 30
periodSeconds: 20
timeoutSeconds: 5
failureThreshold: 5
resources:
requests:
cpu: 500m
memory: 1Gi
limits:
cpu: 1000m
memory: 2Gi
## Configure Audit logs to be written to the API container's directory /var/log/reportportal/audit.log
auditLogs:
## Enable or disable the sidecar log streamer container
enable: false
## Set the log level for audit logs (info, debug, etc.)
loglevel: info
# Configure sidecar container settings for Audit logs
sidecar:
image:
repository: busybox
tag: latest
resources:
requests:
cpu: 10m
memory: 10Mi
limits:
cpu: 100m
memory: 100Mi
## "Delete Account" button in UI
allowDeleteAccount: true ## set `false` to disable feature
## JAVA_OPTS
## If you need to use a custom java keystore you can use it through jvmArgs (e.g. jvmArgs: -Djavax.net.ssl.trustStore=/etc/secret-volume/custom-pki.jks)
jvmArgs: "-Djava.security.egd=file:/dev/./urandom -XX:+UseG1GC -XX:MinRAMPercentage=60.0 -XX:InitiatingHeapOccupancyPercent=70 -XX:MaxRAMPercentage=90.0 -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/tmp"
##
## Number of queues
## Where "totalNumber" is the total number of queues. Сalculation formula: perPodNumber = totalNumber / serviceapi.replicaCount
##
queues:
totalNumber: 10
perPodNumber: 10
## Extra environment variables
extraEnvs: []
## - name: EXTRA_ENV
## value: "TRUE"
## - name: EXTRA_ENV_SECRET
## valueFrom:
## secretKeyRef:
## name: "additional-credentials"
## key: username
podLabels: {}
podAnnotations: {}
securityContext: {}
## @param serviceapi.nodeSelector define which Nodes the Pods are scheduled on.
## You can choose compute classes for GKE Autopilot Pods https://cloud.google.com/kubernetes-engine/docs/concepts/autopilot-compute-classes
## Use cloud.google.com/compute-class: COMPUTE_CLASS for specific GKE Autopilot compute class.
## Use kubernetes.io/arch: ARCHITECTURE for specific GKE Autopilot CPU architecture.
nodeSelector: {}
serviceAccountName: ""
service:
type: ""
portName: ""
nodePort: ""
extraPorts: []
## Provide a secret containing sensitives data
## e.g. provide a custom java keystore used in jvmArgs:
## keytool -genkeypair -storetype jks -alias todelete -keypass changeit -storepass changeit -keystore custom-pki.jks -dname "CN=Developer, OU=Department, O=Company, L=City, ST=State, C=CA"
## keytool -delete -alias todelete -storepass changeit -keystore custom-pki.jks
## keytool -list -keystore custom-pki.jks -storepass changeit
## Generate base64 data and paste it in your values.yaml:
## cat custom-pki.jks | base64 -w
secret:
enabled: false
mountPath: /etc/secret-volume
readOnly: true
data: {}
## custom-pki.jks: <base64-data>
uat:
name: uat
image:
repository: reportportal/service-authorization
tag: 5.10.0
pullPolicy: Always
readinessProbe:
enabled: true
initialDelaySeconds: 60
periodSeconds: 40
timeoutSeconds: 5
failureThreshold: 10
livenessProbe:
enabled: true
initialDelaySeconds: 60
periodSeconds: 40
timeoutSeconds: 5
failureThreshold: 10
resources:
requests:
cpu: 100m
memory: 512Mi
limits:
cpu: 500m
memory: 1Gi
sessionLiveTime: 86400
samlSessionLiveTime: 4320
## RP_INITIAL_ADMIN_PASSWORD - the initial password of the superadmin user for the first launch. This value can't change the password on redeployments.
## Create a K8S Secret and set the name to @param superadminInitPasswd.secretName for future redeplyments or upgrades.
superadminInitPasswd:
secretName: ""
passwordKeyName: "superadmin-password"
password: ""
podLabels: {}
podAnnotations: {}
## JAVA_OPTS
## If you need to use a custom java keystore you can use it through jvmArgs (e.g. jvmArgs: -Djavax.net.ssl.trustStore=/etc/secret-volume/custom-pki.jks)
jvmArgs: "-Djava.security.egd=file:/dev/./urandom -XX:MinRAMPercentage=60.0 -XX:MaxRAMPercentage=90.0"
## Extra environment variables
extraEnvs: []
## - name: EXTRA_ENV
## value: "TRUE"
## - name: EXTRA_ENV_SECRET
## valueFrom:
## secretKeyRef:
## name: "additional-credentials"
## key: username
securityContext: {}
## @param uat.nodeSelector define which Nodes the Pods are scheduled on.
## You can choose compute classes for GKE Autopilot Pods https://cloud.google.com/kubernetes-engine/docs/concepts/autopilot-compute-classes
## Use cloud.google.com/compute-class: "COMPUTE_CLASS" for specific GKE Autopilot compute class.
## Use kubernetes.io/arch: "ARCHITECTURE" for specific GKE Autopilot CPU architecture.
nodeSelector: {}
serviceAccountName: ""
## Provide a secret containing sensitives data
## e.g. provide a custom java keystore used in jvmArgs:
## keytool -genkeypair -storetype jks -alias todelete -keypass changeit -storepass changeit -keystore custom-pki.jks -dname "CN=Developer, OU=Department, O=Company, L=City, ST=State, C=CA"
## keytool -delete -alias todelete -storepass changeit -keystore custom-pki.jks
## keytool -list -keystore custom-pki.jks -storepass changeit
## Generate base64 data and paste it in your values.yaml:
## cat custom-pki.jks | base64 -w
secret:
enabled: false
mountPath: /etc/secret-volume
readOnly: true
data: {}
## custom-pki.jks: <base64-data>
service:
type: ""
portName: ""
nodePort: ""
extraPorts: []
servicejobs:
name: jobs
image:
repository: reportportal/service-jobs
tag: 5.10.0
pullPolicy: Always
readinessProbe:
enabled: true
initialDelaySeconds: 60
periodSeconds: 40
timeoutSeconds: 5
failureThreshold: 10
livenessProbe:
enabled: true
initialDelaySeconds: 60
periodSeconds: 40
timeoutSeconds: 5
failureThreshold: 10
coreJobs:
cleanAttachmentCron: 0 0 */24 * * *
cleanLogCron: 0 0 */24 * * *
cleanLaunchCron: 0 0 */24 * * *
cleanStorageCron: 0 0 */24 * * *
storageProjectCron: 0 */5 * * * *
chunksize: 200000
## Double Entry purposes. The Jobs service processes logs at a rate of one log per millisecond.
## Ref: https://reportportal.io/blog/double-entry-in-5.7.2
logProcessing:
maxBatchSize: 2000
maxBatchTimeout: 6000
resources:
requests:
cpu: 100m
memory: 248Mi
limits:
cpu: 250m
memory: 512Mi
jvmArgs: "-Djava.security.egd=file:/dev/./urandom -XX:+UseG1GC -XX:+UseStringDeduplication -XX:G1ReservePercent=20 -XX:InitiatingHeapOccupancyPercent=60 -XX:MaxRAMPercentage=70.0 -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/tmp"
## Extra environment variables
extraEnvs: []
## - name: EXTRA_ENV
## value: "TRUE"
## - name: EXTRA_ENV_SECRET
## valueFrom:
## secretKeyRef:
## name: "additional-credentials"
## key: username
podLabels: {}
podAnnotations: {}
securityContext: {}
## @param servicejobs.nodeSelector define which Nodes the Pods are scheduled on.
## You can choose compute classes for GKE Autopilot Pods https://cloud.google.com/kubernetes-engine/docs/concepts/autopilot-compute-classes
## Use cloud.google.com/compute-class: COMPUTE_CLASS for specific GKE Autopilot compute class.
## Use kubernetes.io/arch: ARCHITECTURE for specific GKE Autopilot CPU architecture.
nodeSelector: {}
serviceAccountName: ""
service:
type: ""
portName: ""
nodePort: ""
extraPorts: []
serviceanalyzer:
name: analyzer
image:
repository: reportportal/service-auto-analyzer
tag: 5.10.0
pullPolicy: Always
uwsgiWorkers: 2
resources:
requests:
cpu: 500m
memory: 512Mi
limits:
cpu: 500m
memory: 1Gi
podLabels: {}
podAnnotations: {}
securityContext: {}
## Extra environment variables
extraEnvs: []
## - name: EXTRA_ENV
## value: "TRUE"
## - name: EXTRA_ENV_SECRET
## valueFrom:
## secretKeyRef:
## name: "additional-credentials"
## key: username
## @param serviceanalyzer.nodeSelector define which Nodes the Pods are scheduled on.
## You can choose compute classes for GKE Autopilot Pods https://cloud.google.com/kubernetes-engine/docs/concepts/autopilot-compute-classes
## Use cloud.google.com/compute-class: "COMPUTE_CLASS" for specific GKE Autopilot compute class.
## Use kubernetes.io/arch: "ARCHITECTURE" for specific GKE Autopilot CPU architecture.
nodeSelector: {}
serviceAccountName: ""
service:
type: ""
portName: ""
nodePort: ""
extraPorts: []
serviceanalyzertrain:
name: analyzer-train
pullPolicy: Always
uwsgiWorkers: 1
resources:
requests:
cpu: 100m
memory: 256Mi
limits:
cpu: 200m
memory: 512Mi
podLabels: {}
podAnnotations: {}
securityContext: {}
## Extra environment variables
extraEnvs: []
## - name: EXTRA_ENV
## value: "TRUE"
## - name: EXTRA_ENV_SECRET
## valueFrom:
## secretKeyRef:
## name: "additional-credentials"
## key: username
## @param serviceanalyzertrain.nodeSelector define which Nodes the Pods are scheduled on.
## You can choose compute classes for GKE Autopilot Pods https://cloud.google.com/kubernetes-engine/docs/concepts/autopilot-compute-classes
## Use cloud.google.com/compute-class: "COMPUTE_CLASS" for specific GKE Autopilot compute class.
## Use kubernetes.io/arch: "ARCHITECTURE" for specific GKE Autopilot CPU architecture.
nodeSelector: {}
serviceAccountName: ""
service:
type: ""
portName: ""
nodePort: ""
extraPorts: []
metricsgatherer:
name: metrics-gatherer
image:
repository: reportportal/service-metrics-gatherer
tag: 5.10.0
pullPolicy: Always
loggingLevel: debug
timeManagement:
starttime: 22:00
endtime: 08:00
timezone: Europe/Minsk
maxDaysStore: 500
resources:
requests:
cpu: 8m
memory: 128Mi
limits:
cpu: 16m
memory: 256Mi
podLabels: {}
podAnnotations: {}
securityContext: {}
## Extra environment variables
extraEnvs: []
## - name: EXTRA_ENV
## value: "TRUE"
## - name: EXTRA_ENV_SECRET
## valueFrom:
## secretKeyRef:
## name: "additional-credentials"
## key: username
## @param metricsgatherer.nodeSelector define which Nodes the Pods are scheduled on.
## You can choose compute classes for GKE Autopilot Pods https://cloud.google.com/kubernetes-engine/docs/concepts/autopilot-compute-classes
## Use cloud.google.com/compute-class: "COMPUTE_CLASS" for specific GKE Autopilot compute class.
## Use kubernetes.io/arch: "ARCHITECTURE" for specific GKE Autopilot CPU architecture.
nodeSelector: {}
serviceAccountName: ""
service:
type: ""
portName: ""
nodePort: ""
extraPorts: []
migrations:
image:
repository: reportportal/migrations
tag: 5.10.1
resources:
requests:
cpu: 100m
memory: 128Mi
limits:
cpu: 100m
memory: 128Mi
pullPolicy: Always
podLabels: {}
podAnnotations: {}
securityContext: {}
## @param migrations.nodeSelector define which Nodes the Pods are scheduled on.
## You can choose compute classes for GKE Autopilot Pods https://cloud.google.com/kubernetes-engine/docs/concepts/autopilot-compute-classes
## Use cloud.google.com/compute-class: COMPUTE_CLASS for specific GKE Autopilot compute class.
## Use kubernetes.io/arch: ARCHITECTURE for specific GKE Autopilot CPU architecture.
nodeSelector: {}
serviceAccountName: ""
## @section Infrastructure configuration
database:
secretName: ""
## @param database.endpoint by default {{ .Release.Name }}-postgresql.{{ .Release.Namespace }}.svc.cluster.local
endpoint:
port: &dbport 5432
user: &dbuser postgres
dbName: &dbname reportportal
ssl: disable ## set @param database.endpoint.ssl to `require` if database connection use SSL
password: &dbpassword rppassword
## Number of database connections
connections: &dbconnections ""
msgbroker:
secretName: ""
## Virtual hosts provide logical grouping and separation of resources. Ref: https://www.rabbitmq.com/vhosts.html
vhost: analyzer
analyzerExchangeName: analyzer-default
## @param msgbroker.ssl set to `true` if use HTTPS and AMQPS
ssl: false
## @param msgbroker.endpoint by default {{ .Release.Name }}-rabbitmq.{{ .Release.Namespace }}.svc.cluster.local
endpoint:
port: &msgbrokerPort 5672
user: &msgbrokerUser rabbitmq
apiport: &msgbrokerApiPort 15672
apiuser: *msgbrokerUser
password: &msgbrokerPass rabbitmqpassword
searchengine:
secretName: ""
##
## Double entry moves test logs from PostgreSQL to Elastic-type engines. Ref: https://reportportal.io/blog/double-entry-in-5.7.2
## ElasticSearch Performance tuning
## Ref: https://reportportal.io/docs/installation-steps/OptimalPerformanceHardwareSetup/#7-elasticsearch-performance-tuning
##
doubleEntry:
enable: true
## @param searchengine.endpoint URL without protocol and port. By default opensearch-cluster-master.{{ .Release.Namespace }}.svc.cluster.local
endpoint:
## ref. to @param searchengine.protocol
ssl: false ## set to `true` if use HTTPS
port: &searchenginePort 9200
user:
password:
storage:
## @param storage.type Possible storage types: minio, s3
type: minio
secretName: ""
## @param storage.accesskeyName and @param storage.secretkeyName pass to the env[].valueFrom.secretKeyRef.key
accesskeyName: "access-key"
secretkeyName: "secret-key"
accesskey: &storageAccessKey rpuser
secretkey: &storageSecretKey miniopassword
## @param storage.endpoint URL without protocol and port
endpoint:
ssl: false ## set to `true` if use HTTPS
port: 9000
region: ""
bucket:
## @param storage.bucket.type switches between multi and single buckets.
## If you are upgrading an already installed Report Portal, a migration is required.
## Ref: https://github.com/reportportal/migrations-complex/tree/master/charts
##
type: multi
## type: multi / single
##
## When @param storage.bucket.type=multi @param storage.bucket.bucketDefaultName defines plugins bucket
## When @param storage.bucket.type=single @param storage.bucket.bucketDefaultName' defines default single bucket name
##
bucketDefaultName: "rp-bucket"
## Multi-bucket values
bucketMultiPrefix: "prj-"
bucketMultiPostfix: ""
## @param storage.bucket.bucketMultiSaltName storing auth keystor
bucketMultiSaltName: "keystore"
## @section Ingress configuration
## If you have installed ingress controller and want to expose application - set @param ingress.enable to `true`
## If you have some domain name set @param ingress.usedomainname variable to `true` and set this FQDN to @param ingress.hosts
## If you don't have any domain names set @param ingress.usedomainname to `false`
## @param ingress.class set to `nginx` if you have nginx ingress controller.
## @param ingress.class set to `gke` if you want to use GKE ingress controller.
## @param ingress.class set to `aws` if you want to use AWS ALB ingress controller.
## @param ingress.class set to any other ingress controller name if you want to use it.
## @param ingress.annotations.custom if you use other ingress controller set your annotations here.
## @param ingress.tls.certificates specify a list of predefined secret names for TLS certificates present in the same namespace
## tls:
## - hosts:
## - reportportal.k8.com
## secretName: reportportal.k8.com-tls
## @param ingress.tls.secret provide a base64-encoded private key and certificate for TLS instead of using predefined secret names
ingress:
enable: true
usedomainname: false
hosts:
- reportportal.k8.com
class: nginx
annotations:
nginx:
nginx.ingress.kubernetes.io/ssl-redirect: "false"
nginx.ingress.kubernetes.io/proxy-body-size: 128m
nginx.ingress.kubernetes.io/proxy-buffer-size: 512k
nginx.ingress.kubernetes.io/proxy-buffers-number: "4"
nginx.ingress.kubernetes.io/proxy-busy-buffers-size: 512k
nginx.ingress.kubernetes.io/proxy-connect-timeout: "8000"
nginx.ingress.kubernetes.io/proxy-read-timeout: "4000"
nginx.ingress.kubernetes.io/proxy-send-timeout: "4000"
gke: {}
aws: {}
custom: {}
tls:
certificates: null
secret:
base64EncodedPrivateKey: ""
base64EncodedCertificate: ""
## @section Additional configuration
## tolerations for all components, if any (requires Kubernetes >= 1.6)
## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/
tolerations: []
## - key: "key"
## operator: "Equal|Exists"
## value: "value"
## effect: "NoSchedule|PreferNoSchedule|NoExecute"
serviceAccount:
create: true
name: reportportal
## @param serviceAccount.annotations For AWS IAM role association use the following annotations
## See: https://docs.aws.amazon.com/eks/latest/userguide/specify-service-account-role.html
annotations: {}
## RBAC is required for service-index in order to collect status/info over all services
rbac:
create: true
imagePullSecrets: []
## Extra init containers (e.g. wait for minio)
extraInitContainers: {}
## - name: "wait-for-minio"
## image: "busybox"
## imagePullPolicy: "IfNotPresent"
## command:
## - sh
## - "-c"
## - "for i in `seq 1 300`; do sleep 1; if wget http://<minio-release-name>-minio.default.svc.cluster.local:9000/minio/health/live -q -O /dev/null ; then exit 0; fi; done; exit 1"
## @section External dependencies installation configuration
## @param postgresql External PostgreSQL Helm Chart as dependency
postgresql:
install: true ## set to `false` if using a Cloud/On-Premise managed database.
image:
registry: docker.io
repository: bitnami/postgresql
tag: 11.22.0
postgresqlUsername: *dbuser
postgresqlPassword: *dbpassword
postgresqlDatabase: *dbname
servicePort: *dbport
postgresqlMaxConnections: *dbconnections
## @param rabbitmq External RabbitMQ Helm Chart as dependency
rabbitmq:
install: true ## set to `false` if using a Cloud/On-Premise managed RabbitMQ.
image:
registry: docker.io
repository: bitnami/rabbitmq
tag: 3.10.25
auth:
username: *msgbrokerUser
password: *msgbrokerPass
containerPorts:
amqp: *msgbrokerPort
manager: *msgbrokerApiPort
## @param opensearch External OpenSearch Helm Chart as dependency
opensearch:
install: true ## set to `false` if using a Cloud/On-Premise managed OpenSearch.
image:
repository: opensearchproject/opensearch
tag: 2.11.1
## @param opensearch.singleNode If "true", replicas will be forced from 3 to 1
singleNode: true
## @param opensearch.httpPort Port for OpenSearch endpoint
httpPort: *searchenginePort
startupProbe:
initialDelaySeconds: 30
extraEnvs:
- name: DISABLE_INSTALL_DEMO_CONFIG
value: "true"
- name: DISABLE_SECURITY_PLUGIN
value: "true"
## Apache 2.0 license version
## @param minio External MinIO Helm Chart as dependency 6.7.7
minio:
install: true ## set to `true` if using a Cloud/On-Premise managed storage.
image:
registry: docker.io
repository: bitnami/minio
tag: 2021.4.22-debian-10-r6
accessKey:
password: *storageAccessKey
secretKey:
password: *storageSecretKey
k8sWaitFor:
image:
repository: pegasystems/k8s-wait-for
tag: latest