62519081e7
Микросервис обучения портала: тесты, курсы, видео-уроки, доступы, public-ссылки для кандидатов с email-валидацией. В этой итерации: - Skeleton (config, migrate, main, health) по паттерну tasks/candidates - Migration 001_init: 10 таблиц (tests/questions/answers/attempts/ attempt_answers + courses/lessons/lesson_progress + access_grants + public_tokens) с подробными комментариями why - Tests: полный CRUD + вопросы/ответы; non-owner'у is_correct и explanation скрываются в выдаче - Заглушки 501 для attempts / courses / lessons / video-stream / access / public-tokens — следующие итерации - k8s: namespace, configmap, secrets, postgres, deployment с HPA, service с portal-discovery annotations - Dockerfile, Makefile, .gitignore См. README.md для полного списка отложенного и инструкций запуска. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
88 lines
2.1 KiB
YAML
88 lines
2.1 KiB
YAML
apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: learning-server
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namespace: learning
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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: learning-server
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template:
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metadata:
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labels:
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app: learning-server
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spec:
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terminationGracePeriodSeconds: 15
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securityContext:
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runAsNonRoot: true
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runAsUser: 65532
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runAsGroup: 65532
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fsGroup: 65532
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seccompProfile:
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type: RuntimeDefault
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containers:
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- name: learning-server
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image: localhost:30300/admin/learning-server:latest
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securityContext:
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allowPrivilegeEscalation: false
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capabilities:
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drop:
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- ALL
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ports:
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- containerPort: 3001
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envFrom:
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- configMapRef:
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name: learning-config
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- secretRef:
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name: learning-secrets
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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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startupProbe:
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httpGet:
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path: /healthz
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port: 3001
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periodSeconds: 5
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failureThreshold: 30
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livenessProbe:
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httpGet:
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path: /healthz
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port: 3001
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periodSeconds: 10
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readinessProbe:
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httpGet:
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path: /readyz
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port: 3001
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periodSeconds: 5
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resources:
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requests:
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cpu: 50m
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memory: 64Mi
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limits:
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# Видео-стрим может локально жевать память, потому чуть выше.
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cpu: 300m
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memory: 384Mi
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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: learning-server
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namespace: learning
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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: learning-server
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minReplicas: 2
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maxReplicas: 5
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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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