This commit is contained in:
47
.gitea/workflows/pipeline.yml
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47
.gitea/workflows/pipeline.yml
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name: CI/CD Pipeline
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on:
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push:
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branches: [main]
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workflow_dispatch:
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jobs:
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build:
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runs-on: home-server
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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with:
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clean: false
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- name: Login to Docker Hub
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uses: docker/login-action@v3
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with:
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username: ${{ secrets.DOCKERHUB_USERNAME }}
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password: ${{ secrets.DOCKERHUB_TOKEN }}
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- name: Build and push backend image
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run: |
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docker build -t alexmickelson/ai-liveview:$GITHUB_RUN_NUMBER .
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docker push -q alexmickelson/ai-liveview:$GITHUB_RUN_NUMBER
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- name: Deploy to Kubernetes
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env:
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KUBECONFIG_CONTENT: ${{ secrets.KUBE_CONFIG_FILE }}
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AI_TOKEN: ${{ secrets.AI_TOKEN }}
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run: |
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echo "$KUBECONFIG_CONTENT" > /tmp/elixir-kubeconfig.yml
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export KUBECONFIG=/tmp/elixir-kubeconfig.yml
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kubectl create namespace ai-ha-elixir --dry-run=client -o yaml | kubectl apply -f -
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kubectl get secret ai-ha-elixir-secrets --namespace ai-ha-elixir || \
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kubectl create secret generic ai-ha-elixir-secrets \
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--namespace ai-ha-elixir \
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--from-literal=SECRET_KEY_BASE=$(openssl rand -hex 64) \
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--from-literal=AI_TOKEN="$AI_TOKEN"
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for file in kubernetes/*.yml; do
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cat "$file" | envsubst | kubectl apply -f -
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done
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@@ -55,7 +55,7 @@ if config_env() == :prod do
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k8s_dns: [
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strategy: Cluster.Strategy.Kubernetes.DNS,
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config: [
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service: System.get_env("K8S_SERVICE_NAME") || "elixir-ai-headless",
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service: System.get_env("K8S_SERVICE_NAME") || "ai-ha-elixir-headless",
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application_name: "elixir_ai",
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namespace: System.get_env("K8S_NAMESPACE")
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]
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16
kubernetes/configmap.yml
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16
kubernetes/configmap.yml
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apiVersion: v1
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kind: ConfigMap
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metadata:
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name: ai-ha-elixir-config
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namespace: ai-ha-elixir
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data:
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PHX_SERVER: "true"
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PORT: "4000"
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POOL_SIZE: "5"
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K8S_NAMESPACE: ai-ha-elixir
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K8S_SERVICE_NAME: ai-ha-elixir-headless
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RELEASE_COOKIE: elixir_ai_cluster_cookie
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PHX_HOST: ai-ha.alexmickelson.guru
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DATABASE_URL: ecto://elixir_ai:elixir_ai@postgres-service.postgres/elixir_ai
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AI_RESPONSES_ENDPOINT: http://ai-snow.reindeer-pinecone.ts.net:9292/v1/chat/completions
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AI_MODEL: gpt-oss-120b
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26
kubernetes/ingress.yml
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26
kubernetes/ingress.yml
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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: ai-ha-elixir
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namespace: ai-ha-elixir
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annotations:
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# WebSocket support for LiveView
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nginx.ingress.kubernetes.io/proxy-read-timeout: "86400"
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nginx.ingress.kubernetes.io/proxy-send-timeout: "86400"
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nginx.ingress.kubernetes.io/proxy-http-version: "1.1"
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nginx.ingress.kubernetes.io/configuration-snippet: |
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proxy_set_header Upgrade $http_upgrade;
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proxy_set_header Connection "upgrade";
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spec:
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ingressClassName: nginx
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rules:
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- host: ai-ha.alexmickelson.guru
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http:
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paths:
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- path: /
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pathType: Prefix
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backend:
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service:
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name: ai-ha-elixir
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port:
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number: 80
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34
kubernetes/services.yml
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34
kubernetes/services.yml
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apiVersion: v1
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kind: Namespace
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metadata:
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name: ai-ha-elixir
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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: ai-ha-elixir-headless
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namespace: ai-ha-elixir
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spec:
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clusterIP: None
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selector:
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app: ai-ha-elixir
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ports:
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- name: http
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port: 4000
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- name: epmd
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port: 4369
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- name: beam
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port: 9000
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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: ai-ha-elixir
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namespace: ai-ha-elixir
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spec:
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selector:
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app: ai-ha-elixir
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ports:
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- name: http
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port: 80
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targetPort: 4000
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67
kubernetes/statefulset.yml
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67
kubernetes/statefulset.yml
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apiVersion: apps/v1
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kind: StatefulSet
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metadata:
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name: ai-ha-elixir
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namespace: ai-ha-elixir
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spec:
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serviceName: ai-ha-elixir-headless
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replicas: 3
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selector:
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matchLabels:
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app: ai-ha-elixir
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template:
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metadata:
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labels:
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app: ai-ha-elixir
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spec:
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containers:
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- name: ai-ha-elixir
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image: alexmickelson/ai-liveview:$GITHUB_RUN_NUMBER
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ports:
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- containerPort: 4000
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name: http
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- containerPort: 4369
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name: epmd
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- containerPort: 9000
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name: beam
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envFrom:
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- configMapRef:
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name: ai-ha-elixir-config
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env:
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- name: POD_IP
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valueFrom:
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fieldRef:
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fieldPath: status.podIP
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- name: RELEASE_NODE
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value: "elixir_ai@$(POD_IP)"
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- name: SECRET_KEY_BASE
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valueFrom:
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secretKeyRef:
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name: ai-ha-elixir-secrets
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key: SECRET_KEY_BASE
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- name: AI_TOKEN
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valueFrom:
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secretKeyRef:
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name: ai-ha-elixir-secrets
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key: AI_TOKEN
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readinessProbe:
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httpGet:
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path: /
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port: 4000
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initialDelaySeconds: 10
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periodSeconds: 5
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failureThreshold: 3
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livenessProbe:
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httpGet:
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path: /
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port: 4000
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initialDelaySeconds: 20
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periodSeconds: 10
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failureThreshold: 5
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resources:
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requests:
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memory: "256Mi"
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cpu: "100m"
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limits:
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memory: "512Mi"
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cpu: "500m"
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