cidadao.ai-backend / k8s /deployment.yaml
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docs: add comprehensive deployment guide and configurations
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apiVersion: apps/v1
kind: Deployment
metadata:
name: cidadao-api
labels:
app: cidadao-api
spec:
replicas: 3
selector:
matchLabels:
app: cidadao-api
template:
metadata:
labels:
app: cidadao-api
spec:
containers:
- name: api
image: cidadaoai/backend:latest
ports:
- containerPort: 8000
env:
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: cidadao-secrets
key: database-url
- name: REDIS_URL
valueFrom:
secretKeyRef:
name: cidadao-secrets
key: redis-url
- name: MARITACA_API_KEY
valueFrom:
secretKeyRef:
name: cidadao-secrets
key: maritaca-api-key
resources:
requests:
memory: "512Mi"
cpu: "250m"
limits:
memory: "2Gi"
cpu: "1000m"
livenessProbe:
httpGet:
path: /health
port: 8000
initialDelaySeconds: 30
periodSeconds: 10
readinessProbe:
httpGet:
path: /health/ready
port: 8000
initialDelaySeconds: 5
periodSeconds: 5
---
apiVersion: v1
kind: Service
metadata:
name: cidadao-api-service
spec:
selector:
app: cidadao-api
ports:
- protocol: TCP
port: 80
targetPort: 8000
type: LoadBalancer
---
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
name: cidadao-api-hpa
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: cidadao-api
minReplicas: 2
maxReplicas: 10
metrics:
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 70
- type: Resource
resource:
name: memory
target:
type: Utilization
averageUtilization: 80