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【English version】Update 2020.10.10, add the overall resource overview! Support Grafana6&7,Support Node Exporter v0.16 and above.Optimize the main metrics display. Includes: CPU, memory, disk IO, network, temperature and other monitoring metrics。https://github.com/starsliao/Prometheus

【中文版本】2024.05.20更新，基于TenSunS采集的ECS，可匹配自动同步方式采集ECS信息字段的展示，优化重要指标展示。使用Grafana10新样式重建，新增健康评分概念，并新增了整体资源消耗信息的一些图表。包含整体资源展示与资源明细图表：CPU 内存 磁盘 IO 网络等监控指标。https://github.com/starsliao/TenSunS

MicroService API Gateway Apache APISIX

Self-defined Dashboard for summary of GitLab

Self-defined Dashboard for sidekiq of GitLab

Self-defined Dashboard for gitaly of GitLab

Dashboard for OpenWRT routers with installed Prometheus lua exporter scripts.

Developed byTheGeekFreaks

Self-defined Dashboard for service of GitLab

Self-defined Dashboard for runner of GitLab

Self-defined Dashboard for gitlab-rails of GitLab

CrowdSec monitoring dashboard with real-time insights on blocked pods, attack scenarios, banned IPs, and security decisions.

Self-defined Dashboard for ci-pipelines of GitLab

Self-defined Dashboard for gitlab-workhorse of GitLab

A Grafana dashboard compatible with all the cosmos-sdk and tendermint based blockchains.

Docker-cAdvisor 2 with node selection contact me: https://github.com/zengfr

All in one dashboard that integrates data from various sources, including Raspberry Pi, Windows systems, PiKVM, Solis inverters, Tuya smart plugs, and more. Visualize system metrics, energy consumption, currency exchange rates, and solar power generation all in one place.

Redis Dashboard 2 for Prometheus Redis contract me: https://github.com/zengfr

This is a PI-Hole dashboard when using the https://github.com/eko/pihole-exporter Prometheus exporter

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.

dashboard for libvirt via collectd

The key indicators of Dubbo include latency, traffic, errors, and saturation. At the same time, in order to better monitor the running status of the service, Dubbo also provides monitoring of the status of core components, such as Dubbo application information, thread pool information, and indicator data interacting with the three centers.

Use the mfscli command to generate monitoring metrics that can be recognized by prometheus.