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本日 Open Cluster Management の Managed Service Account の Approver になりました🎉 Managed cluster の ServiceAccount とその token を hub cluster から扱えるようにする OCM addon です。 マルチクラスタ環境の認証・アクセス管理まわりを支えるコンポーネントで、Cluster Inventory APIとも連携できます。 #Kubernetes #OCM #CNCF #CloudNative #multicluster #k8s github.com/open-cluster-mana…
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Replying to @manic_pixie_agi
yeah maybe multicluster is difficult
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本日のOSS貢献です🎉 multicluster-runtime に Cluster Inventory API の e2e テストを追加しました。kind で hub/spoke クラスタを立ち上げ、hub のコントローラが ClusterProfile を読み取り、access provider plugin でスポークの認証情報を取得して、スポーク側の ConfigMap を reconcile するまでを通しで検証しています。 #kubernetes #multicluster #e2e #OSS github.com/kubernetes-sigs/m…
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本日のOSS貢献です🎉 multicluster-runtime に Cluster Inventory API の AccessProvider 対応を追加しました。ClusterProfile に公開された access provider 経由でスポーククラスタの認証情報を取得し、コントローラがマルチクラスタを扱えるようになります。 #kubernetes #multicluster #ClusterInventory #OSS github.com/kubernetes-sigs/m…
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本日Cluster Profile API (multicluster SIG) と Argo CD をつなぐ公式プロジェクト、clusterprofile-integration-for-argocd の Code Owner になりました🎉 ClusterProfile リソースを Argo CD のクラスタとして自動登録・管理してくれるコントローラーです。 #ArgoCD #Kubernetes #GitOps #CloudNative #CNCF #DevOps #k8s github.com/argoproj-labs/clu…
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今回、リリースに関する作業を最初から最後まで担当させて頂きました。 SIG Multicluster をはじめ、k8s.io、test-infra、GitHub 管理まわりで、レビューや助言、関係者への声かけ、サポートをしてくださった皆さんに本当に感謝しています。 タイムゾーン的に直接参加しづらいミーティングも多い中、助けていただけたことがとても大きかったです。 後日、Kubernetes 公式 registry に新しいリポジトリとイメージを追加するために必要な全工程をブログにまとめる予定です。 同じようなリリースやイメージ公開を進める方の参考になれば幸いです。
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Edge AI is scaling fast, but most Kubernetes operating models weren’t built for it. As clusters spread across locations, consistency becomes the real problem. Without a clear operational model: • Every cluster becomes slightly different • Governance becomes harder to enforce • Complexity grows faster than teams can handle Join us on May 27 for a live session on what actually works at scale: • A practical framework for managing multi-cluster Kubernetes at the edge • How to standardize deployments across distributed environments • How to scale operations without increasing headcount If you’re moving beyond a handful of clusters, this is the shift that keeps complexity from getting ahead of you. Save your spot: buff.ly/wGJNy17 #Kubernetes #EdgeComputing #EdgeKubernetes #MultiCloud #HybridCloud #MultiCluster #PlatformEngineering
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If you’re running Kubernetes across distributed edge locations, you’ve likely seen this already. Clusters multiply across regions. Consistency starts to break. And managing everything becomes harder than expected. Join us on May 27 to see how teams standardize and control multi-cluster Kubernetes at scale. Save your spot: buff.ly/N6zqZI5 #Kubernetes #EdgeComputing #EdgeKubernetes #MultiCloud #HybridCloud #MultiCluster #PlatformEngineering
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AI is no longer running in one place. As inference moves closer to where data is generated, from factories to vehicles to retail environments, the cloud-centric model starts to break down. Latency, data control, and real-time decisioning push AI workloads to the edge. But as deployments spread across locations, infrastructure becomes harder to manage, not easier. This guide breaks it down: • Why cloud-only AI falls short when latency and real-time decisions matter • How edge inference reduces cost and improves data control • What teams need to consider when scaling across distributed environments Read the full guide: buff.ly/awpweVd 💡 Managing multiple Kubernetes clusters across edge sites? Join us on May 27 for “Taming Multi-Cluster Kubernetes Across Your Edge Environments” and see how teams maintain control at scale. buff.ly/MOO2PDa #Kubernetes #EdgeComputing #EdgeKubernetes #MultiCloud #HybridCloud #MultiCluster #PlatformEngineering
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You started with a handful of Kubernetes clusters. Now you're managing dozens across edge sites with the same team size. At some point, the old approach just stops working. Join Edward Ionel, Head of Growth Marketing, for a practical session on how to maintain control and consistency across multi-cluster edge environments without growing your ops headcount. Register now: buff.ly/ozEG2m2 #Kubernetes #EdgeComputing #EdgeKubernetes #MultiCloud #HybridCloud #MultiCluster #PlatformEngineering
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Edge computing moves processing closer to where data is generated. Less latency, lower bandwidth costs, better reliability for workloads that can't afford to wait on the cloud. But as your edge infrastructure grows, so does the complexity of keeping it all running consistently. If you're building out or scaling an edge environment, this guide breaks down the architecture, core components, common challenges, and best practices worth knowing. Read the full guide: buff.ly/yfgbC2G 💡 If you're managing multiple Kubernetes clusters across edge sites, join us on May 27 for our webinar 'Taming Multi-Cluster Kubernetes Across Your Edge Environments' to see how to keep them under control at scale. buff.ly/KpwpnF9 #Kubernetes #EdgeComputing #EdgeKubernetes #MultiCloud #HybridCloud #MultiCluster #PlatformEngineering
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本日のOSS貢献です🎉 Kubernetes SIG Multicluster の公式サイトに、Cluster Inventory API の実装状況をまとめたページを追加しました。 OCM / GKE Fleet / Knative Operator / Kueue / multicluster-runtime / Argo CD など、多くのプロジェクトが Cluster Inventory API に対応している/対応中の実装を一覧できます。 multicluster.sigs.k8s.io/imp… #k8s #Kubernetes #OSS #SIGMulticluster

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I’m sincerely thankful to all who’ve put in so much of their precious time and effort in making sure KCD Toronto will be a successful Cloud Native and AI conference. Of course I’ll be running around on the day of and won’t get to catch every talk but, I’m simply amazed by ALL the different topics we’ll see from extremely thoughtful speakers: - Human Intelligence - AI Metrics - Secure AI Access - IDPs and Observability - Identity-aware Access Control - In-place Pod Resizing - K8s Operators for Agents/MCP - Yoke - Kagent - Agentic Scalability - Karpenter - KServe and LLMInferenceService - Investigating compromised K8s workloads - SIG-Multicluster APIs - An Incident Response CTF - Running nassive scale K8s - Efficiency and Platform Capabilities - OTel Adoption - A2A Communication - Autonomous Agent orchestration - Scaling Multicluster ML - GPU-Scanner - FinOps for K8s - A Kubernetes X-Ray with Tetragon - Intelligent Ticket Pipelines on K8s - Golden Images If you haven’t picked up your ticket for KCD Toronto, you have < 2 weeks; we’re almost at capacity and will have a very limited amount on-site. Come hang out and meet the awesome Cloud Native Community here in Toronto 🍁😊 See you on May 13th! 😎 kcdtoronto.ca

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Separate fleet management from cluster hosting with #RedHat Advanced Cluster Management and multicluster engine for #Kubernetes. Deploy the hub on one cluster, host control planes and worker VMs on another for clean isolation and independent scaling. red.ht/4vUGt7l
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Manage thousands of clusters across multiple hubs from a single control plane with #RedHat Advanced Cluster Management for #Kubernetes. The multicluster global hub agent exports events in CloudEvents format to #Kafka for enterprise #automation. red.ht/4t4UgGN
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Eclipse Che 7.115.0 is out 🎉 🌍 Multicluster scalability with smart workspace redirection 🔐 Global SSH config for all users ⚙️ Global initContainers via CheCluster CR 🚀 DevWorkspace Operator 0.40.0 A lot more in the release notes 👇 github.com/eclipse-che/che/r…
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本日 SIG Multicluster のドキュメントサイトで Reviewer に就任しました! マルチクラスター構成でのサービスディスカバリ・通信・クラスタへのアクセス等をベンダー非依存で標準化することを目指すSIGです PRのレビューを通じてドキュメントの品質により深く関わることになりました #k8s #Kubernetes
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#proxmox pegaprox.com encore un chouette project en python pour gérer des multicluster, avec proxmoxlb && autosnap intégré. Je vais essayer de contribuer au project (license GPL) et ajouter la replication continue intercluster pour le disaster recovery. @xdoomer01
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