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Diagnose GKE nodes marked NotReady or Unknown using node conditions, events, logs, and resource metrics. The skill gathers evidence, distinguishes temporary transitions from faults, and proposes fixes for a person to apply.

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• Investigate persistent NotReady or Unknown node status
• Check why kubelet stopped reporting node status
• Investigate evictions or Pending Pods linked to node health

Configure GKE logging, metrics collection, dashboards, and alerts with Cloud Logging, Cloud Monitoring, and managed Prometheus. Diagnose missing measurements, collection failures, permission errors, and alert rule problems to identify appropriate configuration changes.

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• Setting up GKE logging and metrics collection
• Investigating missing Prometheus metrics
• Planning dashboards and alerts for cluster health

Create and validate Terraform alerts for GKE using PromQL, a monitoring query language. Cover response times, errors, traffic, memory usage, and cluster health, with checks for alert timing, duplicate signals, and metric ingestion costs.

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• Create alerts for GKE service latency and errors
• Detect frequent container restarts and unhealthy nodes
• Review existing Terraform alert configurations

Adjust application capacity on GKE through manual scaling, HPA for changing the number of running pods, and VPA for adjusting CPU and memory allocations. Includes configuration templates and a workflow for reviewing resource requests against actual usage.

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• Scale application capacity automatically as demand changes
• Review CPU and memory allocations against actual usage
• Change the number of application replicas manually

Find relevant Google Cloud monitoring metrics for a service or resource. Retrieves current metric definitions through the API, filters them by the requested concepts, and presents selected metrics with their names, data types, units, and monitored resources.

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• Find CPU metrics for Compute Engine
• Identify Cloud Storage write throughput and request metrics
• Check metric data types and units

Plan and troubleshoot large language and vision model training and inference. This guide uses hardware measurements to identify bottlenecks, address memory shortages and unstable training, and improve checkpointing, recovery, and performance across multiple GPUs and machines.

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• Diagnosing slow training and GPU memory shortages
• Investigating loss spikes and invalid numerical values
• Debugging communication hangs across GPUs and machines

Evaluate a machine learning GPU cluster during a cloud trial or acceptance test. Measure GPU computing performance, communication within and between machines, and local and shared storage, then compile the results into a dated Markdown report.

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• Evaluating trial GPU machines from a cloud provider
• Running acceptance tests for a GPU cluster
• Measuring GPU performance under load from neighboring GPUs

Deploy and configure LangBot with Docker Compose or Kubernetes. Set up application settings, plugin execution, the Box sandbox for isolated commands, and API authentication, with guidance on hosting choices and common deployment problems.

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• Deploy LangBot on a self-hosted server
• Configure Box and the plugin runtime
• Enable API authentication for agent access

Create reusable Helm charts, packages of Kubernetes deployment templates and settings. The skill guides environment configuration, dependency management, shared templates, and release procedures so applications can be deployed across environments with fewer template changes.

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• Creating reusable Helm charts
• Separating development and production settings
• Managing dependencies and migration order

Helps deploy, manage, and troubleshoot applications on Kubernetes using kubectl and Helm. Covers container logs, resource settings, network access, and deployment strategies to investigate failures and review how applications run.

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• Investigating repeatedly crashing containers
• Reviewing deployment and resource settings
• Troubleshooting service connectivity and DNS

Manage GPU compute jobs on Qizhi through a command-line tool. Find available nodes, submit distributed training runs, launch batches with different parameter combinations, and inspect, monitor, or stop jobs across workspaces.

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• Finding available GPU nodes across workspaces
• Submitting distributed training jobs
• Launching evaluation batches with different parameter combinations

Install and configure WizTelemetry Platform Service, the shared API backend for KubeSphere observability extensions. Generate configuration based on installed extensions, update installation settings, and inspect service health, pods, and logs.

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• Install the shared backend for observability extensions
• Regenerate configuration after changing extensions
• Check API server and console health

Manage Fluid in KubeSphere with configuration files and commands for installation, data connections, caching, status checks, and troubleshooting. Prepare Dataset and runtime resources, preload data into cache, and adjust runtime replica counts.

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• Install or upgrade Fluid in KubeSphere
• Configure data connections and caching
• Preload data into cache with DataLoad

Manage OpenKruise in KubeSphere, from extension installation to troubleshooting. Generate SidecarSet configuration for adding helper containers and CloneSet configuration for application updates, including in-place changes and staged rollouts, with commands to apply and verify each configuration.

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• Install OpenKruise and check its status
• Add and update helper containers with SidecarSet
• Stage application image updates with CloneSet

Understand KubeSphere architecture and call its APIs with a script that handles authentication. This skill also directs cluster, user, workspace, and extension management requests to the relevant specialist skills.

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• Understand KubeSphere core components
• Choose API paths for Kubernetes and KubeSphere operations
• Send API requests to a specific member cluster

Create and run KubeSphere DevOps pipelines connected to Jenkins to automate builds and tests. Covers branch-specific workflows, required input parameters, private repository credentials, execution monitoring, logs, and downloading build output files.

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• Create a pipeline that builds and tests a Go application
• Run builds for individual repository branches
• Configure credentials for a private repository

Set up and troubleshoot the WizTelemetry Notification extension for KubeSphere. Configure delivery channels such as email and Slack, route alerts by labels, silence notifications for scheduled periods, and search notification history to investigate delivery problems.

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• Configuring email or Slack alert delivery
• Routing alerts by severity or namespace
• Silencing notifications during maintenance

Manage KubeSphere’s Traefik-based Gateway API extension for external access to applications. Install, upgrade, or remove it across selected clusters, and inspect GatewayProxy resources, which manage proxy instances, to investigate deployment failures and unhealthy gateways.

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• Install or upgrade the extension on selected clusters
• Inspect GatewayProxy status by scope
• Investigate Traefik startup and update failures

Operate FrontendIntegration resources from existing YAML definitions using kubectl, the Kubernetes command-line tool. Manage updates and enabled state, inspect build output, troubleshoot failures, and install or manage the frontend-forge extension.

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• Create a FrontendIntegration from existing YAML
• Update, enable, or disable a FrontendIntegration
• Inspect build output and troubleshoot failures

Install and configure OpenSearch for storing, searching, and analyzing KubeSphere logs, events, audit records, and notification history. Adjust storage and memory, enable a visualization interface, and manage scheduled cleanup of old search indexes.

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• Preparing storage for logs and event history
• Enabling OpenSearch Dashboards
• Adjusting storage capacity and memory

Manage FrontendExtension resources in frontend-forge, from creation and package generation to downloading, publishing, and unpublishing. Inspect generated files, Kubernetes jobs, and status information to diagnose packaging or publishing failures.

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• Create or update a FrontendExtension
• Rebuild and download an extension package
• Publish, unpublish, or remove an extension

Manage KubeSphere’s network extension, from installation and upgrades to Calico IP address pools and traffic restrictions. Inspect live cluster resources and bundled references to configure namespace bindings, plan pool migrations, and verify changes.

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• Installing or upgrading the network extension
• Managing Calico IP pools and namespace bindings
• Checking allocations before an IP pool migration

Set up and troubleshoot automated build, test, and deployment workflows in KubeSphere DevOps. Covers Jenkins integration, project management, multi-cluster installation, and ArgoCD integration for deployments managed through Git.

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• Set up build, test, and deployment pipelines
• Configure Jenkins integration
• Install DevOps across multiple clusters

Manage NodeGroup resources in a KubeSphere environment, including creation, updates, and deletion. Bind or unbind nodes, namespaces, and workspaces, verify changes, and investigate synchronization problems or deployment settings using the bundled API script.

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• Inspecting and updating NodeGroup resources
• Binding nodes, namespaces, and workspaces
• Investigating synchronization failures