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Docker cAdvisor with AWS ECS cluster selection

Custom - Grafana dashboard to monitoring nodes grouped by AWS EKS nodegroup. Bear in mind you need a kubernetes label called "nodegroup" in each compute < Node Groups

This dashboard is to display NVIDIA GPU Kubernetes cluster metrics version +1.13

Minio 监控面板（中文版，支持多个机器监控） 主要监控信息

Dashboard for Amazon CloudWatch exporter with prometheus

This Grafana dashboard offers a detailed overview of the performance and resource utilization of Windows nodes in a Kubernetes cluster. It includes metrics for CPU, memory, storage, and network usage at the node, namespace, and pod levels, facilitating efficient monitoring and troubleshooting.

All-in-one dashboard for Spinnaker's microservices

Rabbitmq stats and alerting using RabbitMQ Exporter (https://github.com/kbudde/rabbitmq_exporter)

This comprehensive EKS (Kubernetes) dashboard provides a unified view of key metrics and performance indicators to monitor and observe your Kubernetes clusters effectively. Built with Prometheus as the primary datasource, the dashboard visualizes essential details like CPU and memory usage, network I/O, and replica status across all deployments. It integrates both Kube State Metrics and cAdvisor metrics to offer deep insights into cluster resource utilization, allowing you to track container-

Monitors spark and EKS metrics using Prometheus in Kubernetes

Istio Control Plane Dashboard version 1.26.0

Cluster Wide View of Common GPU Errors

AWS ECS fargate Template for cloudwatch_exporter by Alliot(www.iots.vip)

HAProxy backend servers

Mongodb Cluster Dashboard for SRE.

Shows AWS Application load balancer metrics from Cloudwatch

Scanning monitor

Add ebpf-exporter metrics dashboard

Open Swoole Dashboard

Grafana Dashboard for Nginx Web Server.

To be used with GPU Cluster Dashboard (ID: 21645)

Nodes, Pods, and Compute Cells in a Nodeless Kubernetes clusster.

This Grafana dashboard offers a detailed overview of the performance and resource utilization of Linux nodes in a Kubernetes cluster. It includes metrics for CPU, memory, storage, and network usage at the node, namespace, and pod levels, facilitating efficient monitoring and troubleshooting.