87 lines
2.9 KiB
YAML
87 lines
2.9 KiB
YAML
# ============================================
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# MLOps Architecture - Infrastructure Config
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# 클러스터/컴포넌트 구성 정보 (시크릿 제외)
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# ============================================
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cluster:
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name: gpulive
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api_server: https://114.110.128.68:6443
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k8s_version: v1.34.3
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masters: 3
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workers: 14 # GPU 노드 포함
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storage_classes:
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default: component-nas # NFS provisioner
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internal: internal-nas
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user: user-nas
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node_groups:
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nd: dv2-kr3-ins-nd-worker-01 # 인프라 컴포넌트용
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prometheus: dv2-kr3-ins-nd-worker-02 # 모니터링용
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# ── 스케줄링 정책 ──────────────────────────────
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scheduling:
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# 워크로드 제외 모든 컴포넌트는 nodeSelector 지정
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infra_node_selector:
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nodegroup: nd # 기본값
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monitoring_node_selector:
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nodegroup: prometheus
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# ── 컴포넌트 현황 ────────────────────────────
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components:
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gitea:
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location: external # 다른 클러스터에 설치됨
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url: https://gitea.inje-private.com
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version: 1.22.1
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installed: true # 외부에서 운영 중
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gitea_runner:
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location: vm # 전용 VM에 직접 설치
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host: soo-runner # ssh ubuntu@runner
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version: v0.3.0 # act_runner version
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deploy_type: systemd # systemd service on VM
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runner_name: soo-runner
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binary: /usr/local/bin/act_runner
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workdir: /opt/act_runner
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service_file: /etc/systemd/system/act_runner.service
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labels:
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- ubuntu-latest
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- ubuntu-22.04
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- self-hosted
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installed: true
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argocd:
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namespace: argocd
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version: v2.12.3
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ingress: argocd.gpulive.cloud
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installed: true
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harbor:
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url: harbor.inje-private.com
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project: mlops # harbor.inje-private.com/mlops/
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installed: true
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location: external
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dvc:
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version: 3.66.1
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remote_type: nas
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remote_name: nas
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nas_server: 192.168.0.43
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nas_path: /GJ_SHARE_FS2/afed9d8d-f9c8-4053-aa89-23cdc70938e3
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nas_mount: /ainas # 실제 마운트 포인트
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dvc_storage: /ainas/dvc-storage
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installed: true
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# ── 네임스페이스 매핑 ────────────────────────
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namespaces:
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infra: gitea # Gitea, Runner
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cd: argocd # ArgoCD
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workload: soo # ML 워크로드 배포 대상
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monitoring: monitoring # Prometheus, Grafana
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# ── GitOps 구조 ──────────────────────────────
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gitops:
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# single: 앱 코드 + manifest 한 repo
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# split: 앱 repo / manifest repo 분리
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repo_strategy: "" # TODO: 결정 후 채우기
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app_repo: ""
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manifest_repo: ""
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