1. 简介

将 Grafana 仪表板存储为 Kubernetes ConfigMap 相比传统的通过 Grafana 界面导入仪表板有以下一些主要优点:

• 版本控制： ConfigMap 可以存储在版本控制系统(如Git)中,便于跟踪和管理仪表板的变更历史。而传统方式下,仪表板的改动很难追踪和恢复。
• 可移植性：ConfigMap 是 Kubernetes 原生对象,可以在不同的集群和环境之间轻松迁移和共享。传统方式下,仪表板需要通过导出导入的方式在不同环境之间传递。
• 集中管理： 所有仪表板都可以作为 ConfigMap 集中存储和管理,避免分散在多个位置。传统方式下,仪表板管理较为分散。
• 动态更新：Kubernetes 支持在不重启 Grafana 的情况下更新 ConfigMap,从而无缓冲更新仪表板。传统方式需要重启 Grafana 使更改生效。
• 一致性部署： 通过 ConfigMap 的方式,可以确保 Grafana 实例在部署时使用完全一致的仪表板配置。
• 安全性 ：ConfigMap 可以利用 Kubernetes 的角色访问控制机制来管理访问权限。
• 自动化： ConfigMap 可以与 GitOps 工作流相结合,实现仪表板配置的自动化部署和更新。

总的来说,使用 ConfigMap 管理 Grafana 仪表板能够提高可维护性、一致性和自动化程度,同时增强安全性和可迁移性,非常适合云原生环境下的使用。

获取监控仪表盘的json文件，例如，展示 Gafana Redis Overview dashboard 的 redis.json，以prometheus作为数据源。

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{"refresh_intervals": ["5s","10s","30s","1m","5m","15m","30m","1h","2h","1d"],"time_options": ["5m","15m","1h","6h","12h","24h","2d","7d","30d"]},"timezone": "browser","title": "Redis Overview","uid": "redis","version": 6
}

2. 创建 configmaps

kubectl apply configmap redis-dashboard -n prometheus --from-file=redis.json

编辑 configmap 添加 label

kubectl edit cm  redis-dashboards -n prometheus
....
metadata:labels:grafana_dashboard: "1"
.......
....

3. grafana 界面查看