Code import - branch feature/SIENTIAPDE-1646
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281
values.yaml
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281
values.yaml
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# Default values for sientia-module.
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# This is a YAML-formatted file.
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# Declare variables to be passed into your templates.
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# This will set the replicaset count more information can be found here: https://kubernetes.io/docs/concepts/workloads/controllers/replicaset/
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replicaCount: 1
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# This sets the container image more information can be found here: https://kubernetes.io/docs/concepts/containers/images/
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image:
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repository: aignosi.azurecr.io/sientia-module
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# This sets the pull policy for images.
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pullPolicy: Always
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# Overrides the image tag whose default is the chart appVersion.
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tag: "1.0.0"
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# This is for the secrets for pulling an image from a private repository more information can be found here: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
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imagePullSecrets:
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- name: docker-hub-secret
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# This is to override the chart name.
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nameOverride: "sientia-scouter-worker"
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fullnameOverride: "sientia-scouter-worker"
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namespace: sientia
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# This section builds out the service account more information can be found here: https://kubernetes.io/docs/concepts/security/service-accounts/
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serviceAccount:
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# Specifies whether a service account should be created
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create: true
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# Automatically mount a ServiceAccount's API credentials?
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automount: true
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# Annotations to add to the service account
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annotations: {}
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# The name of the service account to use.
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# If not set and create is true, a name is generated using the fullname template
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name: "sientia-scouter-worker"
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# This is for setting Kubernetes Annotations to a Pod.
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# For more information checkout: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/
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podAnnotations: {}
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# This is for setting Kubernetes Labels to a Pod.
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# For more information checkout: https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/
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podLabels: {}
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podSecurityContext: {}
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# fsGroup: 2000
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securityContext: {}
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# capabilities:
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# drop:
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# - ALL
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# readOnlyRootFilesystem: true
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# runAsNonRoot: true
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# runAsUser: 1000
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resources:
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# We usually recommend not to specify default resources and to leave this as a conscious
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# choice for the user. This also increases chances charts run on environments with little
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# resources, such as Minikube. If you do want to specify resources, uncomment the following
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# lines, adjust them as necessary, and remove the curly braces after 'resources:'.
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# limits:
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# cpu: 100m
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# memory: 128Mi
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# requests:
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# cpu: 100m
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# memory: 128Mi
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limits:
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cpu: 1000m
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memory: 2048Mi
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requests:
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cpu: 300m
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memory: 256Mi
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# This is to setup the liveness and readiness probes more information can be found here: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup-probes/
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livenessProbe:
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exec:
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command:
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- sh
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- -c
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- |
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curl -sf http://localhost:9090/metrics | grep -q '^app_up{.*} 1'
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initialDelaySeconds: 30
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periodSeconds: 15
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timeoutSeconds: 5
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failureThreshold: 3
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readinessProbe:
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exec:
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command:
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- sh
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- -c
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- |
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curl -sf http://localhost:9090/metrics | grep -q '^app_up{.*} 1'
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initialDelaySeconds: 20
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periodSeconds: 10
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timeoutSeconds: 3
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failureThreshold: 2
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# This section is for setting up autoscaling more information can be found here: https://kubernetes.io/docs/concepts/workloads/autoscaling/
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autoscaling:
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enabled: false
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minReplicas: 1
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maxReplicas: 100
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targetCPUUtilizationPercentage: 80
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# targetMemoryUtilizationPercentage: 80
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# Additional volumes on the output Deployment definition.
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volumes: []
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# - name: foo
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# secret:
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# secretName: mysecret
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# optional: false
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# Additional volumeMounts on the output Deployment definition.
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volumeMounts: []
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# - name: foo
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# mountPath: "/etc/foo"
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# readOnly: true
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nodeSelector: {}
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tolerations: []
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affinity: {}
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services:
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sdk-metrics:
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enabled: true
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type: ClusterIP
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port: 9091
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targetPort: 9091
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name: sdk-metrics
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metrics:
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enabled: true
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type: ClusterIP
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port: 9090
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targetPort: 9090
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name: metrics
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# Configuração do ServiceMonitor para o Prometheus Operator
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# ref: https://github.com/prometheus-operator/prometheus-operator
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serviceMonitor:
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# Se true, um recurso ServiceMonitor será criado.
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enabled: true
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# O intervalo no qual as métricas devem ser coletadas (ex: 30s, 1m).
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endpoints:
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- port: metrics
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path: /metrics
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interval: 30s
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relabelings: []
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- port: sdk-metrics
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path: /metrics
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interval: 30s
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relabelings: []
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additionalLabels:
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release: kube-prometheus-stack
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env:
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# Entrypoint variables
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- name: GITHUB_REPO_URL
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value: "git@github.com:Aignosi/sientia-dataops-scouter_temporal.git"
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- name: GITHUB_BRANCH
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value: "feature/SIENTIAPDE-1646"
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- name: PYTHON_APP
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value: "scouter.worker.worker"
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# Application variables
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- name: POSTGRES_HOST
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value: "paradedb-rw.paradedb.svc.cluster.local"
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- name: POSTGRES_PORT
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value: "5432"
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- name: POSTGRES_USER
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value: "postgres"
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- name: POSTGRES_PASSWORD
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value: "nFqc81y6kwmr2zuAIx43DhiOosFCVPpeEfTtTWZflkNjB2j1KtEeIANkhFR9mAX3"
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- name: POSTGRES_DBNAME
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value: "sientia"
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- name: POSTGRES_MIN_CONNECTIONS
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value: "10"
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- name: POSTGRES_MAX_CONNECTIONS
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value: "40"
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- name: REDIS_HOST
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value: "redis-master.redis.svc.cluster.local"
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- name: REDIS_PORT
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value: "6379"
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- name: REDIS_USERNAME
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valueFrom:
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secretKeyRef:
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name: redis
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key: redis-username
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- name: REDIS_PASSWORD
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valueFrom:
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secretKeyRef:
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name: redis
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key: redis-password
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- name: LOG_LEVEL
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value: "DEBUG"
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- name: HTTP_METRICS_PORT
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value: "9090"
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- name: PROJECT_NAME
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value: "sientia-scouter"
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- name: TEMPORAL_HOST
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value: "temporal-frontend.temporal.svc.cluster.local:7233"
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- name: TEMPORAL_NAMESPACE
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value: "scouter"
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- name: MONGODB_USERNAME
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value: "root"
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- name: MONGODB_PASSWORD
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value: "wKZDbMNU1c"
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- name: MONGODB_URL
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value: "my-release-mongodb.mongodb.svc.cluster.local:27017"
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- name: MONGODB_DATABASE
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value: "sientia"
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- name: PI_WEB_API_BASE_URL
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value: "https://pivision.votorantimcimentos.com/piwebapi"
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- name: PI_WEB_API_AUTH_TYPE
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value: "basic"
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- name: PI_WEB_API_AUTH_TOKEN
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valueFrom:
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secretKeyRef:
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name: pi-web-api-auth-token
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key: token
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- name: PYPI_SERVER
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value: "http://library-distribution-server.library.svc.cluster.local:5000"
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# Temporal worker tuning
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- name: SCOUTER_MAX_CONCURRENT_WORKFLOW_TASKS
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value: "200"
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- name: SCOUTER_MAX_CONCURRENT_ACTIVITIES
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value: "200"
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- name: SCOUTER_MAX_CONCURRENT_LOCAL_ACTIVITIES
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value: "200"
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- name: SCOUTER_MAX_CACHED_WORKFLOWS
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value: "200"
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- name: SCOUTER_WORKFLOW_POLLER_BEHAVIOUR_MINIMUM
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value: "10"
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- name: SCOUTER_WORKFLOW_POLLER_BEHAVIOUR_INITIAL
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value: "100"
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- name: SCOUTER_WORKFLOW_POLLER_BEHAVIOUR_MAXIMUM
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value: "200"
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- name: SCOUTER_ACTIVITY_POLLER_BEHAVIOUR_MINIMUM
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value: "10"
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- name: SCOUTER_ACTIVITY_POLLER_BEHAVIOUR_INITIAL
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value: "100"
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- name: SCOUTER_ACTIVITY_POLLER_BEHAVIOUR_MAXIMUM
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value: "200"
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- name: SCOUTER_ACTIVITY_EXECUTOR_MAX_WORKERS
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value: "200"
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- name: PI_WEB_API_SCOUTER_ACTIVITY_EXECUTOR_MAX_WORKERS
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value: "200"
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ssh:
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enabled: true
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secretName: git-ssh-key-sientia-scouter-worker
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sshPath: /mnt/.ssh
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knownHostsPath: /mnt/known_hosts
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# kubectl create secret docker-registry docker-hub-secret --namespace sientia --docker-server=http://aignosi.azurecr.io --docker-username=aignosi --docker-password=5I5zpQ6sRaHqX1hD3dr+2mo647yO3FRc359/wu6gsP+ACRDRz5mp
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# helm upgrade --install sientia-scouter-worker sientia/sientia-module -n sientia --create-namespace -f ./values.yaml --version 0.6.5
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# kubectl create secret generic git-ssh-key-sientia-scouter-worker \
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# --namespace sientia \
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# --from-file=ssh-privatekey=git_key \
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# --type=kubernetes.io/ssh-auth
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# kubectl create secret generic pi-web-api-auth-token \
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# --namespace sientia \
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# --from-literal=token=your-token-here
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