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      <description>천천히 올바르게. AI Researcher &amp; DevOps Engineer Youngju&#39;s tech blog. GPU/CUDA, LLM, MLOps, Kubernetes AI workloads, distributed training, and data engineering.</description>
      <language>ko</language>
      <managingEditor>fjvbn2003@gmail.com (Youngju Kim)</managingEditor>
      <webMaster>fjvbn2003@gmail.com (Youngju Kim)</webMaster>
      <lastBuildDate>Mon, 25 May 2026 00:00:00 GMT</lastBuildDate>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-25-cloud-cost-finops-kubecost-opencost-vantage-cloudability-spot-cast-ai-2026-deep-dive.en</guid>
    <title>Cloud Cost Optimization &amp; FinOps 2026 — Kubecost, OpenCost, Vantage, Cloudability, Spot.io, CAST AI, Karpenter Deep Dive</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-25-cloud-cost-finops-kubecost-opencost-vantage-cloudability-spot-cast-ai-2026-deep-dive.en</link>
    <description>In 2026, cloud cost is no longer just a finance problem. With FOCUS 1.0 finalized and the FinOps Foundation under the Linux Foundation umbrella, cost has become an engineering KPI. Kubecost and OpenCost allocate Kubernetes spend, Vantage and Cloudability (Apptio/IBM) unify multi-cloud, Spot.io and CAST AI rebalance nodes automatically, and Karpenter is rapidly replacing Cluster Autoscaler. Meanwhile, exploding LLM GPU costs put per-token economics squarely on the SRE plate. This article maps the FinOps lifecycle (Inform → Optimize → Operate), the tool landscape, real code (Kubecost API, Karpenter NodePool, OPA cost guards), and ends with case studies from Korean and Japanese tech.</description>
    <pubDate>Mon, 25 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>finops</category><category>cloud-cost</category><category>kubecost</category><category>opencost</category><category>vantage</category><category>cloudability</category><category>spot-io</category><category>cast-ai</category><category>karpenter</category><category>cluster-autoscaler</category><category>aws-cost</category><category>gcp-cost</category><category>focus-spec</category>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-25-cloud-cost-finops-kubecost-opencost-vantage-cloudability-spot-cast-ai-2026-deep-dive.ja</guid>
    <title>クラウドコスト最適化 &amp; FinOps 2026 — Kubecost·OpenCost·Vantage·Cloudability·Spot.io·CAST AI·Karpenter 徹底ガイド</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-25-cloud-cost-finops-kubecost-opencost-vantage-cloudability-spot-cast-ai-2026-deep-dive.ja</link>
    <description>2026年のクラウドコストはもはや財務部門だけの問題ではない。FOCUS 1.0が確定し、FinOps FoundationがLinux Foundation傘下に入った今、コストはエンジニアリングのKPIになった。Kubecost·OpenCostがKubernetesコストを割り当て、Vantage·Cloudability(Apptio/IBM)がマルチクラウドを統合、Spot.io·CAST AIがノードを自動再配置し、KarpenterがCluster Autoscalerを急速に置き換えている。さらにLLM GPUコストが爆発し、トークン単位経済学がSRE領域に入り込んだ。本記事はFinOpsライフサイクル(Inform → Optimize → Operate)、ツール地図、実コード(Kubecost API·Karpenter NodePool·OPAコストガード)、そして韓国·日本企業の事例までを一気通貫で整理する。</description>
    <pubDate>Mon, 25 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>finops</category><category>cloud-cost</category><category>kubecost</category><category>opencost</category><category>vantage</category><category>cloudability</category><category>spot-io</category><category>cast-ai</category><category>karpenter</category><category>cluster-autoscaler</category><category>aws-cost</category><category>gcp-cost</category><category>focus-spec</category>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-25-cloud-cost-finops-kubecost-opencost-vantage-cloudability-spot-cast-ai-2026-deep-dive</guid>
    <title>클라우드 비용 최적화 &amp; FinOps 2026 — Kubecost·OpenCost·Vantage·Cloudability·Spot.io·CAST AI·Karpenter 심층 가이드</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-25-cloud-cost-finops-kubecost-opencost-vantage-cloudability-spot-cast-ai-2026-deep-dive</link>
    <description>2026년 클라우드 비용은 더 이상 재무팀만의 문제가 아니다. FOCUS 1.0 사양이 확정되고 FinOps Foundation이 Linux Foundation 산하로 자리 잡으면서, 비용은 엔지니어링 KPI가 됐다. Kubecost·OpenCost로 쿠버네티스 비용을 할당하고, Vantage·Cloudability(Apptio)로 멀티클라우드를 본다. Spot.io·CAST AI는 자동으로 노드를 재배치하고, Karpenter는 Cluster Autoscaler를 빠르게 대체 중이다. 거기에 LLM GPU 비용이 폭발하면서 token-per-dollar 경제학이 새로운 SRE 영역으로 떠올랐다. 이 글은 FinOps 라이프사이클(Inform → Optimize → Operate), 도구 지도, 실전 코드(Kubecost API, Karpenter NodePool, OPA cost guard), 그리고 한국·일본 기업 사례까지 한 번에 정리한다.</description>
    <pubDate>Mon, 25 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>finops</category><category>cloud-cost</category><category>kubecost</category><category>opencost</category><category>vantage</category><category>cloudability</category><category>spot-io</category><category>cast-ai</category><category>karpenter</category><category>cluster-autoscaler</category><category>aws-cost</category><category>gcp-cost</category><category>focus-spec</category>
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