ZIPk8s集群部署系统.zip 44.03KB

weixin_40732273

资源文件列表:

k8s集群部署系统.zip 大约有29个文件
  1. k8s集群部署系统/
  2. k8s集群部署系统/grafana模板/
  3. k8s集群部署系统/grafana模板/docker_container&OS_node(node_exporter, cadvisor).json 55.97KB
  4. k8s集群部署系统/grafana模板/kube-state-metrics-v2.json 105.08KB
  5. k8s集群部署系统/grafana模板/Linux主机详情.json 76.46KB
  6. k8s集群部署系统/grafana模板/POD-k8s-monitor.json 65.2KB
  7. k8s集群部署系统/k8s监控部署文件/
  8. k8s集群部署系统/k8s监控部署文件/cadvisor/
  9. k8s集群部署系统/k8s监控部署文件/cadvisor/cadvisor.yaml 2.1KB
  10. k8s集群部署系统/k8s监控部署文件/grafana/
  11. k8s集群部署系统/k8s监控部署文件/grafana/grafana.yaml 1.85KB
  12. k8s集群部署系统/k8s监控部署文件/kube-state-metrics_2.10.1/
  13. k8s集群部署系统/k8s监控部署文件/kube-state-metrics_2.10.1/cluster-role-binding.yaml 418B
  14. k8s集群部署系统/k8s监控部署文件/kube-state-metrics_2.10.1/cluster-role.yaml 1.91KB
  15. k8s集群部署系统/k8s监控部署文件/kube-state-metrics_2.10.1/deployment.yaml 1.58KB
  16. k8s集群部署系统/k8s监控部署文件/kube-state-metrics_2.10.1/service-account.yaml 270B
  17. k8s集群部署系统/k8s监控部署文件/kube-state-metrics_2.10.1/service.yaml 506B
  18. k8s集群部署系统/k8s监控部署文件/node-exporter/
  19. k8s集群部署系统/k8s监控部署文件/node-exporter/node_exporter.yaml 1.83KB
  20. k8s集群部署系统/k8s监控部署文件/prometheus/
  21. k8s集群部署系统/k8s监控部署文件/prometheus/.prometheus.yaml.swp 12KB
  22. k8s集群部署系统/k8s监控部署文件/prometheus/bar/
  23. k8s集群部署系统/k8s监控部署文件/prometheus/bar/prometheus-rbac.yaml 1.03KB
  24. k8s集群部署系统/k8s监控部署文件/prometheus/bar/prometheus.yml 3.52KB
  25. k8s集群部署系统/k8s监控部署文件/prometheus/config/
  26. k8s集群部署系统/k8s监控部署文件/prometheus/config/prometheus.yml 3.23KB
  27. k8s集群部署系统/k8s监控部署文件/prometheus/kustomization.yaml 219B
  28. k8s集群部署系统/k8s监控部署文件/prometheus/prometheus-rbac.yaml 1.03KB
  29. k8s集群部署系统/k8s监控部署文件/prometheus/prometheus.yaml 1.97KB

资源介绍:

k8s集群部署系统.zip
{ "__inputs": [ { "name": "DS_PROMETHEUS", "label": "prometheus", "description": "prometheus,victoriametrics", "type": "datasource", "pluginId": "prometheus", "pluginName": "Prometheus" } ], "__requires": [ { "type": "grafana", "id": "grafana", "name": "Grafana", "version": "7.1.1" }, { "type": "panel", "id": "graph", "name": "Graph", "version": "" }, { "type": "datasource", "id": "prometheus", "name": "Prometheus", "version": "1.0.0" }, { "type": "panel", "id": "singlestat", "name": "Singlestat", "version": "" }, { "type": "panel", "id": "table-old", "name": "Table (old)", "version": "" } ], "annotations": { "list": [ { "builtIn": 1, "datasource": "-- Grafana --", "enable": true, "hide": true, "iconColor": "rgba(0, 211, 255, 1)", "name": "Annotations & Alerts", "type": "dashboard" } ] }, "description": "Summary metrics about kube-state-metrics v2 version(https://github.com/kubernetes/kube-state-metrics);\r\n\r\nSame as the other two, the only difference is that this is a corrected version.\r\nYou only need to configure auto-discovery to complete the dashboard\r\nPlease install kube-state-metrics and configure the namespace\r\n和其他两个一样，唯一不同的是，这是一个修正版本。\r\n你只需要配置自动发现就可以完成dashboard\r\n请安装kube-state-metrics，并且配置名称空间", "editable": true, "gnetId": 17519, "graphTooltip": 1, "id": null, "iteration": 1627560367926, "links": [ { "asDropdown": true, "icon": "external link", "includeVars": true, "keepTime": false, "tags": [ "kubernetes-app" ], "title": "Dashboards", "type": "dashboards" } ], "panels": [ { "collapsed": false, "datasource": "${DS_PROMETHEUS}", "gridPos": { "h": 1, "w": 24, "x": 0, "y": 0 }, "id": 58, "panels": [], "title": "Cluster", "type": "row" }, { "cacheTimeout": null, "colorBackground": false, "colorValue": false, "colors": [ "#299c46", "rgba(237, 129, 40, 0.89)", "#d44a3a" ], "datasource": "${DS_PROMETHEUS}", "fieldConfig": { "defaults": { "custom": {} }, "overrides": [] }, "format": "percentunit", "gauge": { "maxValue": 100, "minValue": 0, "show": true, "thresholdLabels": false, "thresholdMarkers": true }, "gridPos": { "h": 4, "w": 6, "x": 0, "y": 1 }, "id": 4, "interval": null, "links": [], "mappingType": 1, "mappingTypes": [ { "name": "value to text", "value": 1 }, { "name": "range to text", "value": 2 } ], "maxDataPoints": 100, "nullPointMode": "connected", "nullText": null, "postfix": "", "postfixFontSize": "50%", "prefix": "", "prefixFontSize": "50%", "rangeMaps": [ { "from": "null", "text": "N/A", "to": "null" } ], "sparkline": { "fillColor": "rgba(31, 118, 189, 0.18)", "full": false, "lineColor": "rgb(31, 120, 193)", "show": false }, "tableColumn": "", "targets": [ { "expr": "sum(kube_pod_info{cluster=~\"$cluster\",node=~\"$node\"}) / sum(kube_node_status_allocatable{cluster=~\"$cluster\",resource=\"pods\",node=~\"$node\"})", "format": "time_series", "interval": "", "intervalFactor": 1, "legendFormat": "", "refId": "A" } ], "thresholds": "80,90", "title": "Cluster Pod Requested", "type": "singlestat", "valueFontSize": "80%", "valueMaps": [ { "op": "=", "text": "N/A", "value": "null" } ], "valueName": "current" }, { "cacheTimeout": null, "colorBackground": false, "colorValue": false, "colors": [ "#299c46", "rgba(237, 129, 40, 0.89)", "#d44a3a" ], "datasource": "${DS_PROMETHEUS}", "fieldConfig": { "defaults": { "custom": {} }, "overrides": [] }, "format": "percentunit", "gauge": { "maxValue": 100, "minValue": 0, "show": true, "thresholdLabels": false, "thresholdMarkers": true }, "gridPos": { "h": 4, "w": 6, "x": 6, "y": 1 }, "id": 5, "interval": null, "links": [], "mappingType": 1, "mappingTypes": [ { "name": "value to text", "value": 1 }, { "name": "range to text", "value": 2 } ], "maxDataPoints": 100, "nullPointMode": "connected", "nullText": null, "postfix": "", "postfixFontSize": "50%", "prefix": "", "prefixFontSize": "50%", "rangeMaps": [ { "from": "null", "text": "N/A", "to": "null" } ], "sparkline": { "fillColor": "rgba(31, 118, 189, 0.18)", "full": false, "lineColor": "rgb(31, 120, 193)", "show": false }, "tableColumn": "", "targets": [ { "expr": "sum(kube_pod_container_resource_requests{cluster=~\"$cluster\",resource=\"cpu\",node=~\"$node\"})/ sum(kube_node_status_allocatable{node=~\"$node\",cluster=~\"$cluster\",resource=\"cpu\"})", "format": "time_series", "intervalFactor": 1, "refId": "A" } ], "thresholds": "80,90", "title": "Cluster CPU Requested", "type": "singlestat", "valueFontSize": "80%", "valueMaps": [ { "op": "=", "text": "N/A", "value": "null" } ], "valueName": "current" }, { "cacheTimeout": null, "colorBackground": false, "colorValue": false, "colors": [ "#299c46", "rgba(237, 129, 40, 0.89)", "#d44a3a" ], "datasource": "${DS_PROMETHEUS}", "fieldConfig": { "defaults": { "custom": {} }, "overrides": [] }, "format": "percentunit", "gauge": { "maxValue": 100, "minValue": 0, "show": true, "thresholdLabels": false, "thresholdMarkers": true }, "gridPos": { "h": 4, "w": 6, "x": 12, "y": 1 }, "id": 6, "interval": null, "links": [], "mappingType": 1, "mappingTypes": [ { "name": "value to text", "value": 1 }, { "name": "range to text", "value": 2 } ], "maxDataPoints": 100, "nullPointMode": "connected", "nullText": null, "postfix": "", "postfixFontSize": "50%", "prefix": "", "prefixFontSize": "50%", "rangeMaps": [ { "from": "null", "text": "N/A", "to": "null" } ], "sparkline": { "fillColor": "rgba(31, 118, 189, 0.18)", "full": false, "lineColor": "rgb(31, 120, 193)", "show": false }, "tableColumn": "", "targets": [ { "expr": "sum(kube_pod_container_resource_requests{cluster=~\"$cluster\",resource=\"memory\",node=~\"$node\"}) / sum(kube_node_status_allocatable{node=~\"$node\",cluster=~\"$cluster\",resource=\"memory\"})", "
100+评论
captcha
    相关资源
    类型标题大小时间
    ZIPcomsol压电横波检测裂纹设置:楔块为亚克力塑料（俗称有机玻璃），压电片为pzt-5H，自发自收，以一定角度入射到20mm厚钢板里 压电片频率为1.5MHz，分别设置有无匹配层和吸声背衬的情况154.56KB3月前
    ZIP光伏储能＋单相并网逆变运行仿真模型，matlab2021b版本及以上包含Boost、Buck-boost双向DCDC、并网逆变器三大控制部分输出光伏300-400Vboost电路应用mppt采359.95KB3月前
    ZIP基于STM32录音功能设计46.99MB3月前
    ZIPPEMFC弯月状凹凸结构点状流场设计和优化，软件fluent，优化点块形状和布置方式，改善水管理，提高反应物利用率，提升性能 包括模型，加密网格，速度场，压力场，湍动能场等 满足基本的学习和研究需364.85KB3月前
    ZIP永磁同步电机匝间短路仿真，用MAXWELL搭建349.78KB3月前
    ZIPSimulink仿真：混合动力船舶能量控制策略研究关键词：混合动力船舶；复合储能系统；能量管理控制策略参考文献：混合动力船舶能量控制策略研究+视频讲解仿真平台：MATLAB Simulink主253.38KB3月前
    ZIP使用yolov5算法做电线绝缘子缺陷检测，模型 数据集 代码 1.09MB3月前
    ZIP灰度图片OTSU阈值分割算法利用fpga实现，包括直方图统计等模块，一帧图像输出结束后输出直方图统计、前一帧图像的阈值，误差几个灰度值左右，只要误差来自于小数的精度损失 开发和仿真环境为vivado122.73KB3月前