0bf556018e
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83 lines
2.3 KiB
YAML
83 lines
2.3 KiB
YAML
apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: hw-ws-service
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labels:
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app: hw-ws-service
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spec:
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replicas: 2
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selector:
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matchLabels:
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app: hw-ws-service
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# WebSocket 连接有状态，滚动更新时使用 Recreate 或 RollingUpdate + 优雅关闭
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strategy:
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type: RollingUpdate
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rollingUpdate:
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maxUnavailable: 0 # 始终保持至少 2 个 Pod 可用
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maxSurge: 1
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template:
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metadata:
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labels:
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app: hw-ws-service
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spec:
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# 优雅关闭总时限：90s（服务内部等待 80s，留 10s 缓冲）
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terminationGracePeriodSeconds: 90
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containers:
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- name: hw-ws-service
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image: ${CI_REGISTRY_IMAGE}/hw-ws-service:latest
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imagePullPolicy: Always
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ports:
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- name: ws
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containerPort: 8888
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protocol: TCP
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env:
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- name: HW_WS_HOST
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value: "0.0.0.0"
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- name: HW_WS_PORT
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value: "8888"
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- name: HW_RTC_BACKEND_URL
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# 集群内部直接访问 rtc-backend Service，不走公网
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value: "http://rtc-backend:8000"
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lifecycle:
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preStop:
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exec:
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# 等待 5s 让 LB/Ingress 将流量从本 Pod 摘除，再开始关闭
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command: ["/bin/sh", "-c", "sleep 5"]
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# 就绪探针：TCP 握手成功才接流量
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readinessProbe:
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tcpSocket:
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port: 8888
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initialDelaySeconds: 3
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periodSeconds: 5
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failureThreshold: 3
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# 存活探针：连续失败 3 次才重启（避免短暂抖动误杀）
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livenessProbe:
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tcpSocket:
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port: 8888
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initialDelaySeconds: 10
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periodSeconds: 15
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failureThreshold: 3
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# 资源限制（根据实际负载调整）
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resources:
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requests:
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cpu: "100m"
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memory: "128Mi"
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limits:
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cpu: "500m"
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memory: "512Mi"
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# 优先调度到不同节点，避免单点故障
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topologySpreadConstraints:
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- maxSkew: 1
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topologyKey: kubernetes.io/hostname
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whenUnsatisfiable: DoNotSchedule
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labelSelector:
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matchLabels:
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app: hw-ws-service
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