140 lines
3.4 KiB
YAML
140 lines
3.4 KiB
YAML
apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: xlog
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namespace: crossbell
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spec:
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progressDeadlineSeconds: 600
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replicas: 1
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revisionHistoryLimit: 5
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selector:
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matchLabels:
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app: xlog
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strategy:
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rollingUpdate:
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maxSurge: 25%
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maxUnavailable: 25%
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type: RollingUpdate
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template:
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metadata:
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labels:
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app: xlog
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annotations:
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prometheus.io/path: /metrics
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prometheus.io/port: "8080"
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prometheus.io/scrape: "true"
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spec:
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enableServiceLinks: false
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initContainers:
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- image: $IMAGE_TAG_RELEASE
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envFrom:
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- secretRef:
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name: xlog
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imagePullPolicy: Always
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name: xlog-init
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command: ["/bin/sh", "-c"]
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args: ["npm install -g prisma; npm run prisma:migrate:deploy"]
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containers:
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- image: $IMAGE_TAG_RELEASE
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imagePullPolicy: Always
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name: xlog
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args:
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- "start"
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- "-i"
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- "1"
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- "ecosystem.config.js"
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envFrom:
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- secretRef:
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name: xlog
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ports:
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- containerPort: 3000
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protocol: TCP
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resources:
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requests:
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memory: "2500Mi"
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cpu: "300m"
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limits:
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memory: "4000Mi"
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cpu: "2000m"
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terminationMessagePath: /dev/termination-log
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terminationMessagePolicy: File
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readinessProbe:
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httpGet:
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path: /api/healthcheck
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port: 3000
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initialDelaySeconds: 40
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periodSeconds: 20
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livenessProbe:
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tcpSocket:
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port: 3000
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initialDelaySeconds: 40
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periodSeconds: 20
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dnsPolicy: ClusterFirst
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restartPolicy: Always
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schedulerName: default-scheduler
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securityContext: {}
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terminationGracePeriodSeconds: 30
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---
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: xlog-caddy
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namespace: crossbell
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spec:
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selector:
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matchLabels:
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app: xlog-caddy
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template:
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metadata:
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labels:
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app: xlog-caddy
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spec:
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containers:
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- name: caddy
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image: kindjeff/caddy-tlsredis-docker
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imagePullPolicy: Always
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command: ["caddy", "run", "-config", "/app/Caddyfile"]
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resources:
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requests:
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cpu: 50m
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memory: 64Mi
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limits:
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cpu: 100m
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memory: 128Mi
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envFrom:
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- secretRef:
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name: xlog-caddy
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ports:
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- containerPort: 80
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name: http
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- containerPort: 443
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name: https
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volumeMounts:
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- name: caddyfile
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mountPath: /app
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- name: caddy-validator
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image: python
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command: ["/bin/sh", "-c"]
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args: ["pip install flask requests; flask --app=app run"]
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resources:
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requests:
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cpu: 50m
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memory: 64Mi
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limits:
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cpu: 100m
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memory: 128Mi
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ports:
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- containerPort: 5000
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name: http
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volumeMounts:
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- name: validator
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mountPath: /app.py
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subPath: app.py
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volumes:
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- name: caddyfile
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configMap:
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name: xlog-caddy
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- name: validator
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configMap:
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name: xlog-caddy-validator
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