检查为什么用户定义的指标不可用 13.2. 确定为什么 PROMETHEUS 消耗大量磁盘空间 第 第 14 章 章 CLUSTER MONITORING OPERATOR 的 的 CONFIGMAP 参考 参考 14.1. CLUSTER MONITORING 配置参考 14.2. ADDITIONALALERTMANAGERCONFIG 14.3. ALERTMANAGERMAINCONFIG 开源项目及其更广的生态系统。监控堆栈包括 以下组件： 默 默认 认平台 平台监 监控 控组 组件 件。在 OpenShift Container Platform 安装过程中，默认会在 openshift- monitoring 项目中安装一组平台监控组件。这为包括 Kubernetes 服务在内的 OpenShift Container Platform 核心组件提供了监控。默认监控堆栈还为集群启用远程健康状态监控。下图 安装部分说明了这些组件。 用于 用于监 监控用 控用户 户定 定义项 义项目的 目的组 组件 件。在选择性地为用户定义的项目启用监控后，会在 openshift-user- workload-monitoring 项目中安装其他监控组件。这为用户定义的项目提供了监控。下图中的用 用 户 户部分说明了这些组件。 OpenShift Container Platform 4.10 监 监控 控 4

Namespace openshift-storage 不存在，它会在 Operator 安装过程中创建。 d. 选择 Enable operator recommended cluster monitoring on this namespace 复选框，因为 集群监控需要它。 e. 将 Approval Strategy 选为 Automatic 或 Manual。默认情况下，批准策略设置为 python3 ceph-external-cluster-details-exporter.py --rbd-data-pool-name ceph-rbd -- monitoring-endpoint xxx.xxx.xxx.xxx --monitoring-endpoint-port 9283 --rgw-endpoint xxx.xxx.xxx.xxx:xxxx --run-as-user client 置备对象存储，请提供此参数。使用以下格式提供端点：: --monitoring-endpoint 是可选的。它是可从 OpenShift 容器平台集群访问的活动 ceph- mgr 的 IP 地址。如果没有提供，则会自动填充该值。 --monitoring-endpoint-port 是可选的。它是与 --monitoring-endpoint 指定的 ceph- mgr Prometheus

电源监控由以下主要组件组成： Power monitoring Operator 对于管理员，Power monitoring Operator 通过简化 OpenShift Container Platform 集群中的 Kepler 的部署和管理来简化对工作负载的功耗的监控。通过添加 Kepler 自定义资源定义 (CRD) 简化了 Power monitoring Operator 的设置和配置。Operator Container Platform 4.14 电 电源 源监 监控 控 4 警告 警告 estimator 目前只是实验性的功能，它不被支持，用户不应依赖它。 您可以使用 Power Monitoring / Overview 仪表板来识别节点的电源估算方法。 2.4. 其他资源 电源监控仪表板概述  第 第 2 章 章 电 电源 源监 监控概述 控概述 5 第 3 章 为 RED Administrator 视角中，进入 Operators → OperatorHub。 2. 搜索 power monitoring，点 Power monitoring for Red Hat OpenShift 标题，然后点 Install。 3. 再次点 Install 来安装 Power monitoring Operator。 Red Hat OpenShift 的电源监控现在包括在 OpenShift

Config Management Systems 4 3 3 3 Integration with CI/CD Solutions 3 4 2 4 Advanced Monitoring 4 4 3 2 Alerts and Notifications 4 4 3 2 External Log Shipping 4 4 2 3 Windows SUSE Rancher and Kubernetes. The SUSE Rancher Hosted team manages all aspects from uptime, monitoring, logging and security to backups, restores and upgrades and enables teams to focus on business at scale. OpenShift clusters will also have full monitoring capabilities with RHACM where as non-OpenShift clusters will get access to limited monitoring features. For extensive RedHat OpenShift environments

..................................................................................... 14 4.12 Monitoring Latency....................................................................................... ............ 23 caolei – 监控Apache Flink应用程序(入门) – 4 原文地址：https://www.ververica.com/blog/monitoring-apache-flink-applications-101 这篇博文介绍了Apache Flink内置的监控和度量系统，通过该系统，开发人员可以有效地监控他们的Flink作 业。通常，对于一个刚刚开始使用Apache org/projects/flink/flink-docs-release-1.7/monitoring/metrics.html#registering-metrics 2 https://ci.apache.org/projects/flink/flink-docs-release-1.7/monitoring/metrics.html#reporter Flink指标体系 – 5 1 Flink指标体系

.......................................................................... 7 1.3.9 Resource Monitoring .............................................................................................. ..............41 4.3 Container Monitoring ...................................................................................................42 4.3.1 Monitoring with Prometheus ................. ...................................................................42 4.4 Monitoring with Heapster ............................................................................................45 4

Introduction Apache Karaf Decanter is monitoring solution running in Apache Karaf. It’s composed in three parts: • Collectors are responsible of harvesting monitoring data. Decanter provides collectors elasticsearch appender • the JMX and log collectors 1.2. Collectors Decanter collectors harvest the monitoring data, and send this data to the Decanter appenders. Two kinds of collector are available: • Event following Decanter Elasticsearch embedded instance setup works perfectly fine for Karaf Decanter monitoring purpose, especially for the current Karaf instance. For convenience, Decanter provides elasticsearch

INTRODUCTION Apache Karaf Decanter is a monitoring solution running in Apache Karaf. It’s composed of three parts: • Collectors are responsible for harvesting monitoring data. Decanter provides collectors eventually alerters feature to match your need. 1.2. COLLECTORS Decanter collectors harvest the monitoring data, and send this data to the Decanter appenders. Apache Karaf Decanter 2.x - Documentation Decanter network socket collector. The use case could be to dedicate a Karaf instance as a central monitoring platform, receiving collected data from the other nodes. The decanter-appender-socket feature

io 唐鹏程 才云科技TOC Solving issues in a new way Monitoring your service mesh Old-school monitoringPrometheus + Kubernetes ● A time series based monitoring system. ● Borgmon for mere mortals. ● Seamless service which resolves to all the thanos query, sidecar and store pod IPs in the cluster.Voila!Monitoring your service meshMonitoring your service mesh - istio ● https://www.katacoda.com/courses/istio prometheus to collect data from istio components. ● Deploy example bookinfo app using istio.Monitoring your service mesh - istio ● https://www.katacoda.com/courses/istio /deploy-istio-on-kubernetes

Overview 1.Metrics Comparison 1.1 Features Benchmarking Features KubeSphere OpenShift Rancher Monitoring ※※※※※ ※※※※ ※※※ Logging ※※※※※ ※※※ ※※※ Events ※※※※※ ※※※※ ※※※ Auditing ※※※※※ ※※※※ ※※※ Alerting Version compared 3.1.1 4.8 V2.5.9 Observability Monitoring Built-in metrics for multi-tenant and multi-dimensional monitoring; built-in custom monitoring dashboards Simple metrics displayed only; operations Metering Monitoring dashboards available for metering of multi-dimensional resources in clusters and workspaces Not supported Not supported Billing Monitoring dashboards available