dashboards/google-kubernetes-engine/metadata.yaml

sample_dashboards:
  -
    category: Google Kubernetes Engine
    id: gke-workloads-at-risk
    display_name: GKE Workloads at Risk
    description: "This dashboard has 12 charts using the related [Kubernetes metrics](https://cloud.google.com/monitoring/api/metrics_kubernetes) to show workloads which are at reliability and performance risks due to BestEffort and Burstable workloads running above request for CPU and memory."
    related_integrations:
      - id: gke
        platform: GCP
  -
    category: Google Kubernetes Engine
    id: gke-cluster-monitoring
    display_name: GKE Cluster Monitoring
    description: "This dashboard has 18 charts for the related [Kubernetes metrics](https://cloud.google.com/monitoring/api/metrics_kubernetes), including metrics for the worker nodes such as total allocatable CPU cores and memory; metrics for containers such as CPU and memory request utilization; metrics for Pods such as network bytes received and transmitted."
    related_integrations:
      - id: gke
        platform: GCP
  -
    category: Google Kubernetes Engine
    id: gke-active-idle-clusters
    display_name: GKE Active/Idle Clusters
    description: "This dashboard has 2 charts using the related [Kubernetes metrics](https://cloud.google.com/monitoring/api/metrics_kubernetes) to show the container count and resource usage in user namespaces within a specific period. Users can see how active and idle their clusters are."
    related_integrations:
      - id: gke
        platform: GCP
  -
    category: Google Kubernetes Engine
    id: gke-compute-resources-cluster-view
    display_name: GKE Compute Resources - Cluster View
    description: "This dashboard features filters to drill down to a specific cluster, and has 14 charts for the related [Kubernetes metrics](https://cloud.google.com/monitoring/api/metrics_kubernetes). It summarizes metrics like CPU and memory utilization as well as network sent and received bandwidth for the cluster, grouping over namespace."
    related_integrations:
      - id: gke
        platform: GCP
  -
    category: Google Kubernetes Engine
    id: gke-compute-resources-node-view
    display_name: GKE Compute Resources - Node View
    description: "This dashboard features filters to drill down to a specific cluster, and has 17 charts using the related [Kubernetes metrics](https://cloud.google.com/monitoring/api/metrics_kubernetes). It summarizes metrics like CPU and memory utilization as well as network sent and received bandwidth for nodes that make up a given cluster."
    related_integrations:
      - id: gke
        platform: GCP
  -
    category: Google Kubernetes Engine
    id: gke-compute-resources-workload-view
    display_name: GKE Compute Resources - Workload View
    description: "This dashboard features filters to drill down to a specific cluster, namespace and workload. It has 14 charts for the related [Kubernetes metrics](https://cloud.google.com/monitoring/api/metrics_kubernetes) and summarizes CPU and memory utilization as well as network sent and received bandwidth for pods that make up a given workload."
    related_integrations:
      - id: gke
        platform: GCP
  -
    category: Google Kubernetes Engine
    id: gke-nodes-pods-cluster-view
    display_name: GKE Nodes and Pods - Cluster View
    description: "This dashboard has 10 charts using the related [Kubernetes metrics](https://cloud.google.com/monitoring/api/metrics_kubernetes) to show how pods and containers are distributed within nodes and within namespaces. Container start, restart and autoscaler events are also plotted over time."
    related_integrations:
      - id: gke
        platform: GCP
  -
    category: Google Kubernetes Engine
    id: gke-optimization-signals
    display_name: GKE Optimization Signals
    description: "This dashboard has 10 charts using the related [Kubernetes metrics](https://cloud.google.com/monitoring/api/metrics_kubernetes) and summarize GKE cost optimization signals based on the [State of Kubernetes Cost Optimization](https://cloud.google.com/blog/products/containers-kubernetes/new-report-state-of-kubernetes-cost-optimization) report includes demand scaling, spot instance usage, cluster bin packing and workload rightsizing."
  -
    category: Google Kubernetes Engine
    id: gke-dpv2-observability-cluster-flows-overview
    display_name: GKE DPv2 Observability - Cluster Flows Overview
    description: "This dashboard features 6 charts with overview data about the pod-to-workload traffic in your GKE cluster. Monitor how much of your traffic is dropped, see what are the most common drop reasons, all at a glance. [Google Managed Prometheus](https://cloud.google.com/managed-prometheus) and [Dataplane V2 metrics](https://cloud.google.com/kubernetes-engine/docs/how-to/configure-dpv2-observability) must be enabled to make use of this dashboard."
    related_integrations:
      - id: gke
        platform: GCP
  -
    category: Google Kubernetes Engine
    id: gke-dpv2-observability-drilldown-view
    display_name: GKE DPv2 Observability - Drilldown View
    description: "This dashboard features 6 charts providing pod-to-workload traffic data that is groupable and filterable (e.g. by workload, namespace), letting you gain more detailed insight into the traffic within your GKE cluster. Understand which workloads generate the most traffic, drill down which pods drop traffic and what's the reason, and more. [Google Managed Prometheus](https://cloud.google.com/managed-prometheus) and [Dataplane V2 metrics](https://cloud.google.com/kubernetes-engine/docs/how-to/configure-dpv2-observability) must be enabled to make use of this dashboard."
    related_integrations:
      - id: gke
        platform: GCP
  -
    category: Google Kubernetes Engine
    id: gke-tpu-node-pool-status
    display_name: GKE TPU Node Pool Status
    description: "Get comprehensive insights into the health of your GKE TPU multi-host node pools."
    related_integrations:
      - id: gke
        platform: GCP