feat : initial commit
This commit is contained in:
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# ==================================================
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# deployment/manifest/kustomization.yaml
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# ==================================================
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apiVersion: kustomize.config.k8s.io/v1beta1
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kind: Kustomization
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namespace: team1tier-healthsync-intelligence-ns
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resources:
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- configmap/intelligence-service-configmap.yaml
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- secret/intelligence-service-secret.yaml
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- deployment/intelligence-service-deployment.yaml
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- service/intelligence-service-service.yaml
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- hpa/intelligence-service-hpa.yaml
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- ingress/intelligence-service-ingress.yaml
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# 이미지 자동 치환 (빌드 스크립트에서 설정)
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images:
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- name: intelligence-service
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newName: acrhealthsync01.azurecr.io/team1tier/intelligence-service
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newTag: "1.0.0"
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# 공통 라벨
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commonLabels:
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app: intelligence-service
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team: team1tier
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environment: production
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# 네임스페이스 설정
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namespace: team1tier-healthsync-intelligence-ns
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# 변수 치환 (ConfigMap Generator 사용 가능)
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configMapGenerator:
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- name: build-info
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literals:
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- build.version=1.0.0
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- build.timestamp=$(date -u +"%Y-%m-%dT%H:%M:%SZ")
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# Patch 설정 (환경별 설정 오버라이드)
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patchesStrategicMerge:
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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: intelligence-service
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namespace: team1tier-healthsync-intelligence-ns
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spec:
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template:
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metadata:
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annotations:
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build.version: "1.0.0"
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deployment.timestamp: $(date -u +"%Y-%m-%dT%H:%M:%SZ")
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@@ -0,0 +1,51 @@
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# ==================================================
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# deployment/manifest/configmap/intelligence-service-configmap.yaml
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# ==================================================
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apiVersion: v1
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kind: ConfigMap
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metadata:
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name: intelligence-service-configmap
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namespace: team1tier-healthsync-intelligence-ns
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labels:
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app: intelligence-service
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component: config
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data:
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# 서비스 기본 설정
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APP_NAME: "HealthSync Intelligence Service"
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APP_VERSION: "1.0.0"
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DEBUG: "false"
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HOST: "0.0.0.0"
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PORT: "8083"
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API_V1_PREFIX: "/api/intelligence"
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CORS_ORIGINS: '["*"]'
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# 로깅 설정
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LOG_LEVEL: "INFO"
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# 토큰 설정
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ALGORITHM: "HS256"
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ACCESS_TOKEN_EXPIRE_MINUTES: "30"
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# Claude AI 설정
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CLAUDE_MODEL: "claude-3-5-sonnet-20241022"
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CLAUDE_MAX_TOKENS: "1500"
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CLAUDE_TEMPERATURE: "0.7"
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CLAUDE_TIMEOUT: "30"
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CLAUDE_API_BASE_URL: "https://api.anthropic.com"
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# 다른 마이크로서비스 URL
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USER_SERVICE_URL: "http://user-service:8081"
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HEALTH_SERVICE_URL: "http://health-service:8082"
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# Redis 설정
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REDIS_HOST: "redis-digitalgarage-01.redis.cache.windows.net"
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REDIS_PORT: "6380"
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REDIS_DB: "0"
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REDIS_SSL: "true"
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# PostgreSQL 설정
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DB_HOST: "psql-digitalgarage-01.postgres.database.azure.com"
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DB_PORT: "5432"
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DB_NAME: "healthsync_db"
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DB_MIN_SIZE: "1"
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DB_MAX_SIZE: "10"
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@@ -0,0 +1,168 @@
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# ==================================================
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# deployment/manifest/deployment/intelligence-service-deployment.yaml
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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: intelligence-service
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namespace: team1tier-healthsync-intelligence-ns
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labels:
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app: intelligence-service
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component: backend
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tier: api
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spec:
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revisionHistoryLimit: 3
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replicas: 2
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strategy:
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type: RollingUpdate
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rollingUpdate:
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maxSurge: 1
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maxUnavailable: 0
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selector:
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matchLabels:
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app: intelligence-service
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template:
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metadata:
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labels:
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app: intelligence-service
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component: backend
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environment: production
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team: team1tier
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annotations:
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prometheus.io/scrape: "true"
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prometheus.io/port: "8083"
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prometheus.io/path: "/metrics"
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spec:
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# Image Pull Secret
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imagePullSecrets:
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- name: acr-secret
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# 보안 컨텍스트
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securityContext:
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runAsNonRoot: true
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runAsUser: 1000
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fsGroup: 1000
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containers:
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- name: intelligence-service
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# 이미지는 Kustomize에서 자동으로 치환됨
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image: acrhealthsync01.azurecr.io/team1tier/intelligence-service:1.3.3
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imagePullPolicy: Always
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ports:
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- name: http
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containerPort: 8083
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protocol: TCP
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# 환경변수 설정
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envFrom:
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- configMapRef:
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name: intelligence-service-configmap
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- secretRef:
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name: intelligence-service-secret
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# 추가 환경변수
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env:
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- name: POD_NAME
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valueFrom:
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fieldRef:
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fieldPath: metadata.name
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- name: POD_NAMESPACE
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valueFrom:
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fieldRef:
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fieldPath: metadata.namespace
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- name: NODE_NAME
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valueFrom:
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fieldRef:
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fieldPath: spec.nodeName
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# 리소스 제한
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resources:
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requests:
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cpu: "200m"
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memory: "512Mi"
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ephemeral-storage: "1Gi"
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limits:
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cpu: "1000m"
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memory: "1Gi"
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ephemeral-storage: "2Gi"
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# Startup Probe: 초기 시작 확인 (최대 3분 대기)
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# startupProbe:
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# httpGet:
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# path: /api/v1/health/status
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# port: http
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# scheme: HTTP
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# initialDelaySeconds: 30
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# periodSeconds: 10
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# timeoutSeconds: 5
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# failureThreshold: 18 # 30초 + (18 * 10초) = 최대 3분
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# successThreshold: 1
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# Readiness Probe: 트래픽 수신 준비 확인
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# readinessProbe:
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# httpGet:
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# path: /api/v1/health/status
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# port: http
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# scheme: HTTP
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# initialDelaySeconds: 5
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# periodSeconds: 5
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# timeoutSeconds: 3
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# failureThreshold: 3
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# successThreshold: 1
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# Liveness Probe: 서비스 생존 확인
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# livenessProbe:
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# httpGet:
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# path: /api/v1/health/status
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# port: http
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# scheme: HTTP
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# initialDelaySeconds: 60
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# periodSeconds: 10
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# timeoutSeconds: 5
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# failureThreshold: 3
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# successThreshold: 1
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# 보안 컨텍스트
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securityContext:
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allowPrivilegeEscalation: false
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readOnlyRootFilesystem: false
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runAsNonRoot: true
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runAsUser: 1000
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capabilities:
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drop:
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- ALL
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# 볼륨 마운트 (로그 수집용)
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volumeMounts:
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- name: tmp-volume
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mountPath: /tmp
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- name: cache-volume
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mountPath: /app/cache
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# 볼륨 정의
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volumes:
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- name: tmp-volume
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emptyDir: {}
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- name: cache-volume
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emptyDir: {}
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# DNS 설정
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dnsPolicy: ClusterFirst
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# 재시작 정책
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restartPolicy: Always
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# 스케줄링 설정
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affinity:
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podAntiAffinity:
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preferredDuringSchedulingIgnoredDuringExecution:
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- weight: 100
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podAffinityTerm:
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labelSelector:
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matchExpressions:
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- key: app
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operator: In
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values:
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- intelligence-service
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topologyKey: kubernetes.io/hostname
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@@ -0,0 +1,44 @@
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# ==================================================
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# deployment/manifest/hpa/intelligence-service-hpa.yaml
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# ==================================================
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apiVersion: autoscaling/v2
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kind: HorizontalPodAutoscaler
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metadata:
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name: intelligence-service-hpa
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namespace: team1tier-healthsync-intelligence-ns
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labels:
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app: intelligence-service
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component: autoscaler
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spec:
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scaleTargetRef:
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apiVersion: apps/v1
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kind: Deployment
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name: intelligence-service
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minReplicas: 2
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maxReplicas: 10
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metrics:
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- type: Resource
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resource:
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name: cpu
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target:
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type: Utilization
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averageUtilization: 70
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- type: Resource
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resource:
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name: memory
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target:
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type: Utilization
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averageUtilization: 80
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behavior:
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scaleDown:
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stabilizationWindowSeconds: 300
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policies:
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- type: Percent
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value: 50
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periodSeconds: 60
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scaleUp:
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stabilizationWindowSeconds: 60
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policies:
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- type: Percent
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value: 100
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periodSeconds: 30
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@@ -0,0 +1,32 @@
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# ==================================================
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# deployment/manifest/ingress/intelligence-service-ingress.yaml
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# ==================================================
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apiVersion: networking.k8s.io/v1
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kind: Ingress
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metadata:
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name: intelligence-service-ingress
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namespace: team1tier-healthsync-intelligence-ns
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labels:
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app: intelligence-service
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component: ingress
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annotations:
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nginx.ingress.kubernetes.io/ssl-redirect: "false"
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nginx.ingress.kubernetes.io/force-ssl-redirect: "false"
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nginx.ingress.kubernetes.io/backend-protocol: "HTTP"
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nginx.ingress.kubernetes.io/proxy-connect-timeout: "30"
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nginx.ingress.kubernetes.io/proxy-send-timeout: "30"
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nginx.ingress.kubernetes.io/proxy-read-timeout: "30"
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nginx.ingress.kubernetes.io/proxy-body-size: "10m"
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spec:
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ingressClassName: nginx
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rules:
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- host: team1tier.20.214.196.128.nip.io # 실제 환경에서는 실제 도메인으로 변경
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http:
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paths:
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- path: /api/intelligence
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pathType: Prefix
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backend:
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service:
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name: intelligence-service
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port:
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number: 8083
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@@ -0,0 +1,29 @@
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# ==================================================
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# deployment/manifest/secret/intelligence-service-secret.yaml
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# ==================================================
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apiVersion: v1
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kind: Secret
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metadata:
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name: intelligence-service-secret
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namespace: team1tier-healthsync-intelligence-ns
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labels:
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app: intelligence-service
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component: secret
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type: Opaque
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stringData:
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# JWT 보안키 (openssl rand -base64 32로 생성)
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SECRET_KEY: "aHVlYWx0aHN5bmMtaW50ZWxsaWdlbmNlLXNlY3JldC1rZXktMjAyNQ=="
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# Claude API 키 (실제 환경에서는 Azure Key Vault 연동 권장)
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CLAUDE_API_KEY: "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"
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# 데이터베이스 접속 정보
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DB_USERNAME: "team1tier"
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DB_PASSWORD: "Hi5Jessica!"
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# Redis 접속 정보
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REDIS_PASSWORD: "HUezXQsxbphIeBy8FV9JDA3WaZDwOozGEAzCaByUk40="
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# PineCone
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PINECONE_API_KEY: "pcsk_2bcssc_wVP3hmKVfo8We9Cd4mdo2PM5s4Ab7hPahxWmyG1v6AbpEhXPKuNjK2qKb9KbJJ"
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PINECONE_ENVIRONMENT: "aped-4627-b74a"
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@@ -0,0 +1,26 @@
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# ==================================================
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# deployment/manifest/service/intelligence-service-service.yaml
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# ==================================================
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apiVersion: v1
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kind: Service
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metadata:
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name: intelligence-service
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namespace: team1tier-healthsync-intelligence-ns
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labels:
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app: intelligence-service
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component: backend
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tier: api
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annotations:
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service.beta.kubernetes.io/azure-load-balancer-internal: "false"
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spec:
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type: ClusterIP
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sessionAffinity: None
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ports:
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- name: http
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port: 8083
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targetPort: http
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protocol: TCP
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selector:
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app: intelligence-service
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component: backend
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