David Walsh
74 lines
2.0 KiB
YAML
74 lines
2.0 KiB
YAML
apiVersion: apps/v1
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kind: Deployment
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metadata:
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labels:
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app.kubernetes.io/name: rfqm
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app.kubernetes.io/component: scheduler
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name: rfqm-scheduler
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spec:
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strategy:
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type: RollingUpdate
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rollingUpdate:
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maxUnavailable: 25%
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maxSurge: 25%
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replicas: 1
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selector:
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matchLabels:
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app.kubernetes.io/name: rfqm
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app.kubernetes.io/component: scheduler
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template:
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metadata:
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annotations:
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prometheus.io/scrape: "true"
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prometheus.io/port: "8080"
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labels:
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app.kubernetes.io/name: rfqm
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app.kubernetes.io/component: scheduler
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spec:
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nodeSelector:
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kubernetes.io/arch: amd64 # We currently only support amd64
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terminationGracePeriodSeconds: 300
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containers:
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- image: 0x-rfq-api:latest
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name: rfqm-scheduler
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resources:
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limits:
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cpu: 256m
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memory: 512Mi
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requests:
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cpu: 128m
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memory: 256Mi
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imagePullPolicy: Always
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startupProbe:
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httpGet:
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path: /metrics
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port: prom
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initialDelaySeconds: 2
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periodSeconds: 10
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successThreshold: 1
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timeoutSeconds: 5
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failureThreshold: 6 # Give container 1 minute to startup
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livenessProbe:
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httpGet:
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path: /metrics
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port: prom
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initialDelaySeconds: 2
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periodSeconds: 10
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successThreshold: 1
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timeoutSeconds: 5
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command: ["/bin/sh", "-c"]
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args: ["yarn workspace rfq-api start:service:scheduler"]
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ports:
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- containerPort: 8080
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name: prom
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env:
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- name: NODE_ENV
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value: "production"
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- name: LOGGER_INCLUDE_TIMESTAMP
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value: "false"
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- name: REDIS_BACKGROUND_JOB_URI
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- name: ENABLE_PROMETHEUS_METRICS
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value: "true"
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- name: PROMETHEUS_PORT
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value: "8080"
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