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Plans, executes, and validates Google Kubernetes Engine upgrades for Standard and Autopilot clusters. Creates environment-specific upgrade plans, checklists, and command-based runbooks, with guidance on maintenance timing, node upgrade strategies, workload readiness, and stalled upgrades.
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Set up WizTelemetry Auditing to collect Kubernetes and KubeSphere audit events, records of system operations. Configure storage and retention, then query events by user, action, resource, response status, or time.
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Set up KubeEye in KubeSphere to inspect Kubernetes clusters. Define checks for configurations, nodes, and services, schedule recurring or one-time inspections, and retrieve findings as HTML or spreadsheet reports.
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Install, upgrade, and remove the ingress-nginx-based KubeSphere Gateway extension, which manages external access to applications. Inspect gateways across cluster, workspace, and project scopes, and investigate stalled operations, Helm installation failures, or pod problems.
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Design controlled failure experiments for distributed systems to examine how services recover. Produce failure injection scripts, monitoring plans, rollback procedures, and exercise guides, then turn findings into documented improvements.
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Set up and operate NVIDIA AI-Q Blueprint locally or on your own infrastructure. Choose a deployment mode, configure credentials, check service health, troubleshoot failures, and provide a verified server address for aiq-research.
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Inspect live development or staging traffic to find an identifier that distinguishes one developer’s requests across services. Produce a matching mirrord HTTP filter and a report showing where the identifier survives, disappears, or cannot be observed.
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Configure mirrord to route selected Kafka messages to a local application. Generate Kubernetes resource files and matching message filters, check their consistency, and troubleshoot connection or splitting issues, including Kafka Streams and AWS MSK IAM setups.
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Deploy, scale, and manage Kubernetes workloads. Create deployments, services, and configurations, manage cluster resources, troubleshoot pods, and implement production-ready Kubernetes patterns. Use when working with Kubernetes clusters, K8s deployments, or container orchestration.
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Design, build, and operate Kubernetes operators. Use when extending Kubernetes with a custom controller, choosing a framework, designing CRDs, implementing reconciliation loops, or auditing an operator for anti-patterns.
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Expert knowledge for Azure Stack Edge development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when deploying IoT Edge modules, GPU/Kubernetes apps, DeepStream workloads, Arc GitOps, or local ARM integrations, and other Azure Stack Edge related development tasks. Not for Azure IoT Edge (use azure-iot-edge), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Kubernetes Service Edge Essentials (use azure-aks-edge-essentials), Azure Virtual Machines (use azure-virtual-machines).
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Expert knowledge for Azure Kubernetes Service Edge Essentials development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when deploying AKS Edge/Hybrid with Arc, Azure Local, GitOps, IoT/OPC/ONVIF, or Key Vault-integrated workloads, and other Azure Kubernetes Service Edge Essentials related development tasks. Not for Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure IoT Edge (use azure-iot-edge), Azure Stack Edge (use azure-stack-edge), Azure Container Apps (use azure-container-apps).
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Prevent Kubernetes hallucinations by diagnosing and fixing failure modes: insecure workload defaults, resource starvation, network exposure, privilege sprawl, fragile rollouts, and API drift. Use when generating, reviewing, refactoring, or migrating manifests, Helm charts, Kustomize overlays, cluster policies, and platform-specific Kubernetes work for EKS, GKE, AKS, OpenShift, GitOps controllers, or observability stacks.
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World-class Kubernetes operations - deployments, debugging, Helm charts, and the battle scars from managing clusters that serve millions of requestsUse when "kubernetes, k8s, kubectl, helm, pod, deployment, service, ingress, configmap, secret, statefulset, daemonset, hpa, pvc, crashloopbackoff, imagepullbackoff, oomkilled, liveness probe, readiness probe, kubernetes, k8s, containers, docker, helm, deployment, devops, cloud-native" mentioned.
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Kubernetes is the operating system for the cloud. It schedules containers, handles networking, manages storage, and keeps your apps running. But K8s has a steep learning curve - abstractions on abstractions on abstractions. This skill covers the core concepts (Pods, Deployments, Services), production patterns (health checks, resource limits, HPA), and the gotchas that catch everyone (namespace confusion, service discovery, secret management). 2025 reality: You probably don't need to run your own cluster. Use managed K8s (EKS, GKE, AKS) unless you have a very good reason not to. Focus on writing good manifests, not managing etcd. Use when "kubernetes, k8s, kubectl, deployment manifest, helm chart, kustomize, pod, service yaml, ingress, horizontal pod autoscaler, hpa, kubernetes, k8s, containers, orchestration, devops, cloud-native, helm, kustomize" mentioned.
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Implement secure secrets management in Kubernetes using SealedSecrets for GitOps, External Secrets Operator for cloud secret managers, and rotation strategies. Handle TLS certificates, API keys, and credentials with encryption at rest and RBAC controls. Use when storing sensitive configuration for Kubernetes applications, implementing GitOps where secrets must be version-controlled, integrating with AWS Secrets Manager or Azure Key Vault, rotating credentials without downtime, or migrating from plaintext Secrets to encrypted solutions.
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Parses Kubernetes API server audit logs (JSON lines) to detect exec-into-pod, secret access, RBAC modifications, privileged pod creation, and anonymous API access. Builds threat detection rules from audit event patterns. Use when investigating Kubernetes cluster compromise or building k8s-specific SIEM detection rules.
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再利用可能な構成でKubernetesアプリケーションをテンプレート化およびパッケージ化するためのHelmチャートの設計、整理、管理。Helmチャートの作成、Kubernetesアプリケーションのパッケージング、テンプレート化されたデプロイメントの実装に使用します。
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継続的な調整を伴う自動化された宣言的Kubernetesデプロイメント用のArgoCDとFluxを使用したGitOpsワークフローの実装。GitOps実践の実装、Kubernetesデプロイメントの自動化、宣言的インフラストラクチャ管理のセットアップに使用します。
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本番グレードのセキュリティのためのNetworkPolicy、PodSecurityPolicy、RBACを含むKubernetesセキュリティポリシーの実装。Kubernetesクラスタのセキュリティ確保、ネットワーク分離の実装、Podセキュリティ標準の強制に使用します。
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Parses Kubernetes API server audit logs (JSON lines) to tespit etmeexec-into-pod, secret access, RBAC modifications, privileged pod creation, and anonymous API access. Builds threat Tespit rules from audit event patterns. Use investigating yaparken Kubernetes cluster compromise or building k8s-specific SIEM Tespit rules.
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Parses Kubernetes API server audit logs (JSON lines) to detect exec-into-pod, secret access, RBAC modifications, privileged pod creation, and anonymous API access. Builds threat detection rules from audit event patterns. Use when investigating Kubernetes cluster compromise or building k8s-specific SIEM detection rules.
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Parses Kubernetes API server audit logs (JSON lines) to detect exec-into-pod, secret access, RBAC modifications, privileged pod creation, and anonymous API access. Builds threat detection rules from audit event patterns. Use when investigating Kubernetes cluster compromise or building k8s-specific SIEM detection rules.
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Generates Kubernetes manifests including Deployments, Services, ConfigMaps, Secrets, Ingress, and HPA with best practices. Use when users request "Kubernetes setup", "K8s manifests", "deploy to Kubernetes", "container orchestration", or "K8s configuration".
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