Dashboards

Kubernetes (k8s) Horizontal Pod Autoscaler (HPA)

A simple dashboard to monitor k8s cronjobs

This dashboard provides cluster admins with the ability to monitor nodes and identify workload bottlenecks. It can be deployed with PSPs enabled using the following helm chart - https://github.com/pivotal-cf/charts-grafana

This is a simple dashboard for Fluent-bit

This Grafana dashboard offers a detailed overview of Kubernetes cluster performance and resource usage. It features time series graphs that monitor various metrics, including the number of namespaces, running pods, RAM usage, CPU usage and other key Kubernetes resources such as services, endpoints, and deployments. The dashboard also tracks persistent volume usage both as a percentage and in gigabytes, providing insights into storage utilization. Additionally, it visualizes network usage, coveri

Monitors Kubernetes deployments in cluster using Prometheus. Shows overall cluster CPU / Memory of deployments, replicas in each deployment. Uses Kube state metrics and cAdvisor metrics (741)

Monitors Kubernetes cluster using Prometheus. Shows overall cluster CPU / Memory / Filesystem usage as well as individual pod, containers, systemd services statistics. Uses cAdvisor metrics only.

Cluster level overview of workloads deployed, based on prometheus metrics exposed by kubelet, node-exporter, nginx ingress controller

This is a simple dashboard for: https://github.com/banzaicloud/logging-operator utilising Fluent-bit and Fluentd

English version of an Asian dashboard found on grafana.com/dashboards

Monitors Kubernetes (1.16 and above) cluster using Prometheus. Shows overall cluster CPU / Memory / Filesystem usage as well as individual pod, containers, systemd services statistics. Uses cAdvisor metrics only.

This dashboard gives overview of OpenEBS installation in cluster.

Summary metrics about containers running on Kubernetes nodes and mainline kubernetes statistics

This dashboard can be used to detect issues on the Loki stack, when deployed in Kubernetes. Shows: some error metrics published by Promtail/Loki. Error and warning logs emitted by Promtail/Loki. Memory and CPU usage of Promtail/Loki compared against the Kubernetes memory/cpu limits and requests.

Recommended Requests & Limits for Kubernetes Workloads based on historical usage

Check your workload health before doing modifications to your cluster

https://grafana.com/dashboards/3119 - Monitors Kubernetes cluster using Prometheus. Shows overall cluster CPU / Memory / Filesystem usage as well as individual pod, containers, control plane (as deployed by kops) statistics. Uses cAdvisor metrics only. Tweaked from original https://grafana.com/dashboards/315 to add templating for: - adaptable $interval (instead of hardcoded 1m) - selectable $datasource (very useful to have a single dashboard tackling several prometheis )

Watch performance, errors, latency, and infrastructure metrics for your workload

A dashboard to help manage Kubernetes cluster costs and resources

Monitors Kubernetes cluster using Prometheus. Shows overall cluster CPU / Memory / Filesystem usage as well as individual pod, containers, systemd services statistics. Uses cAdvisor metrics only.

This is for insight on important Kubernetes app metrics. What recources is a Pod actually using and what are it's limits or requests and what part is each container consuming? Also has graphs for networking, disks, restarts docker images etc