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2014년 Google이 Borg 경험을 기반으로 공개한 Kubernetes는 10년 만에 클라우드의 운영 체제가 됐다. 하지만 그 복잡도는 악명 높고, "K8s는 정말 필요한가"라는 질문은 매년 반복된다. etcd부터 Ambient Mesh, ArgoCD, Backstage, Karpenter, WASM까지 — K8s 생태계의 전 지형도와 실전 운영 트레이드오프를 정리한다.
Karpenter
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- Published on
K8s 심화 운영의 모든 것! 오토스케일링(HPA/VPA/KEDA/Karpenter), 스케줄링(Affinity/Taint-Toleration/Priority/Topology), 리소스 관리(QoS/LimitRange/ResourceQuota), 멀티 클러스터(Cluster API/Fleet), 업그레이드 전략, 문제 해결.- Published on
AWS Karpenter v1의 아키텍처, NodePool/EC2NodeClass CRD, 통합(Consolidation), 드리프트 감지, Spot 인스턴스 연동, Cluster Autoscaler와의 비교까지 종합적으로 다루는 완전 가이드입니다.- Published on
Karpenter를 활용한 GPU 노드 프로비저닝, Spot GPU 인스턴스 전략, NVIDIA GPU Operator 연동, 멀티 아키텍처 지원, 비용 최적화, 모니터링까지 AI/ML 워크로드를 위한 고급 가이드입니다.- Published on
Cluster Autoscaler를 대체하는 Karpenter의 핵심 아키텍처부터 NodePool, EC2NodeClass 설정, 통합(Consolidation) 전략, 실전 운영 팁까지 코드 예제와 함께 다룹니다.