xLog/deploy/prod/deploy.yaml

147 lines
3.7 KiB
YAML

apiVersion: apps/v1
kind: Deployment
metadata:
name: xlog
namespace: crossbell
spec:
progressDeadlineSeconds: 600
replicas: 10
revisionHistoryLimit: 5
selector:
matchLabels:
app: xlog
strategy:
rollingUpdate:
maxSurge: 25%
maxUnavailable: 25%
type: RollingUpdate
template:
metadata:
labels:
app: xlog
annotations:
prometheus.io/path: /metrics
prometheus.io/port: "8080"
prometheus.io/scrape: "true"
spec:
enableServiceLinks: false
nodeSelector:
rss3.io/usage: csb-others
tolerations:
- key: "rss3.io/usage"
operator: "Equal"
value: "csb-others"
effect: "NoSchedule"
initContainers:
- image: $IMAGE_TAG_RELEASE
envFrom:
- secretRef:
name: xlog
imagePullPolicy: Always
name: xlog-init
command: ["/bin/sh", "-c"]
args: ["npm install -g prisma; npm run prisma:migrate:deploy"]
containers:
- image: $IMAGE_TAG_RELEASE
imagePullPolicy: Always
name: xlog
envFrom:
- secretRef:
name: xlog
ports:
- containerPort: 3000
protocol: TCP
resources:
requests:
memory: "1000Mi"
cpu: "300m"
limits:
memory: "3000Mi"
cpu: "2000m"
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: File
readinessProbe:
httpGet:
path: /api/healthcheck
port: 3000
initialDelaySeconds: 40
periodSeconds: 20
livenessProbe:
tcpSocket:
port: 3000
initialDelaySeconds: 40
periodSeconds: 20
dnsPolicy: ClusterFirst
restartPolicy: Always
schedulerName: default-scheduler
securityContext: {}
terminationGracePeriodSeconds: 30
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: xlog-caddy
namespace: crossbell
spec:
replicas: 3
selector:
matchLabels:
app: xlog-caddy
template:
metadata:
labels:
app: xlog-caddy
annotations:
prometheus.io/path: /metrics
prometheus.io/port: "8080"
prometheus.io/scrape: "true"
spec:
containers:
- name: caddy
image: kindjeff/caddy-tlsredis-docker
imagePullPolicy: Always
command: ["caddy", "run", "-config", "/app/Caddyfile"]
resources:
requests:
cpu: 50m
memory: 64Mi
limits:
cpu: 100m
memory: 128Mi
envFrom:
- secretRef:
name: xlog-caddy
ports:
- containerPort: 80
name: http
- containerPort: 443
name: https
volumeMounts:
- name: caddyfile
mountPath: /app
- name: caddy-validator
image: python
command: ["/bin/sh", "-c"]
args: ["pip install flask requests; flask --app=app run"]
resources:
requests:
cpu: 50m
memory: 64Mi
limits:
cpu: 100m
memory: 128Mi
ports:
- containerPort: 5000
name: http
volumeMounts:
- name: validator
mountPath: /app.py
subPath: app.py
volumes:
- name: caddyfile
configMap:
name: xlog-caddy
- name: validator
configMap:
name: xlog-caddy-validator