https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubedaemonsetmisscheduled, kube_daemonset_status_number_misscheduled{job="kube-state-metrics"} > 0, CronJob {{ $labels.namespace }}/{{ $labels.cronjob }} is taking more, https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubecronjobrunning, time() - kube_cronjob_next_schedule_time{job="kube-state-metrics"} > 3600, Job {{ $labels.namespace }}/{{ $labels.job_name }} is taking more, https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubejobcompletion, kube_job_spec_completions{job="kube-state-metrics"} - kube_job_status_succeeded{job="kube-state-metrics"} > 0. sum(kube_resourcequota{job="kube-state-metrics", type="hard", resource="memory"}), Namespace {{ $labels.namespace }} is using {{ printf "%0.0f" $value, https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubequotaexceeded, 100 * kube_resourcequota{job="kube-state-metrics", type="used"}, (kube_resourcequota{job="kube-state-metrics", type="hard"} > 0), }} for container {{ $labels.container_name }} in pod {{ $labels.pod_name, https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-cputhrottlinghigh, }[5m])) by (container_name, pod_name, namespace), The PersistentVolume claimed by {{ $labels.persistentvolumeclaim, }} in Namespace {{ $labels.namespace }} is only {{ printf "%0.2f" $value, https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubepersistentvolumeusagecritical, 100 * kubelet_volume_stats_available_bytes{job="kubelet"}, kubelet_volume_stats_capacity_bytes{job="kubelet"}, Based on recent sampling, the PersistentVolume claimed by {{ $labels.persistentvolumeclaim, }} in Namespace {{ $labels.namespace }} is expected to fill up within four. Perform the initial installation and configuration of the full Kubernetes-Prometheus stack, Define metric endpoint autoconfiguration using the, Customize and scale the services using the Operator CRDs and ConfigMaps, making our configuration fully portable and declarative. i choose to edit node-exporter rule. prometheus: k8s: role: alert-rules: name: prometheus-k8s-rules: spec: groups: - name: k8s.rules: rules: - expr: | sum(rate(container_cpu_usage_seconds_total{job="kubelet", image!="", … Prometheus is an open-source tool for monitoring and alerting. Errors while reconciling Prometheus in {{ $labels.namespace }} Namespace. It was developed by SoundCloud and afterwards donated to the CNCF. All the alerting rules have to be present on Prometheus config based on your needs. Looking at the file we can see that it’s submitted to the apiversion called v1, it’s a kind of resource called a Namesp… GitHub Gist: instantly share code, notes, and snippets. See this example Prometheus configuration file for a detailed example of configuring Prometheus for Kubernetes. Feel free to add more rules … PrometheusRule, which defines a desired Prometheus rule file, which can be loaded by a Prometheus instance containing Prometheus alerting and recording rules. We will also cover ephemeral maintenance tasks and its associated metrics. For example the. 1 – Kubernetes Monitoring with Prometheus, basic concepts and initial deployment, 2 – Kubernetes Monitoring with Prometheus: Alertmanager, Grafana, PushGateway. KubeScheduler has disappeared from Prometheus target discovery. To complete the steps in this tutorial, you need to set up the following environment: A cloud and Kubernetes environment like the IBM Cloud Kubernetes Service. 3 – Prometheus Operator Tutorial: a fully automated Kubernetes deployment for Prometheus, Alertmanager and Grafana. Different Prometheus deployments will monitor different resources: One group of Prometheus servers (1 to N, depending on your scale) is going to monitor the Kubernetes internal component and state. We covered how to install a complete ‘Kubernetes monitoring with Prometheus’ stack in the previous chapters of this guide. The need for Prometheus High Availability. And only … Another group of Prometheus server is going to monitor any other app deployed in your cluster. sum(rate(apiserver_request_count{job="apiserver",code=~"^(?:5.. Prometheus installed in the kube-system namespace. 实际上只需以静态配置的形式添加一个job就可以：. Grafana is an open source platform for visualizing time series data. To modify this Prometheus stack deployment, instead of modifying each component Deployment or StatefulSet as you would expect in Kubernetes, you will directly customize the abstract definitions and let the operator handle the orchestration for you. Please temporarily disable ad blocking or whitelist this site, use less restrictive tracking protection, or enable JavaScript to load this form. Apply the configmap of rules to the Prometheus Server configuration. In this post, part of our Kubernetes consulting series, we will provide an overview of and step-by-step setup guide for the open source Prometheus Operator software. https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-prometheusoperatordown, absent(up{job="prometheus-operator",namespace="monitoring"} == 1), Pod {{ $labels.namespace }}/{{ $labels.pod }} ({{ $labels.container. }}) *"}' static_configs: - targets: - ':30003'. How does it work? 04/22/2020; 13 minutes to read; b; D; In this article. Prometheus Operator is used in the integration of the Prometheus monitoring system within a Kubernetes environment. Alert rules and the Alertmanager component, Visualization and Dashboards with Grafana, the one in part 2, where we were installing Prometheus components manually. Now point your web browser to http://localhost:3000 , you will access the Grafana interface, which is already populated with some useful dashboards! AlertManager is an opensource alerting system which works with Prometheus Monitoring system. prometheus.rules: 수집한 지표에 대한 알람조건을 지정하여 특정 조건이 되면 AlertManager로 알람을 보낼 수 있음; prometheus.yml: 수집할 지표(metric)의 종류와 수집 주기등을 기입 prometheus.rules will contain all the alert rules for sending alerts to alert manager. KubeControllerManager has disappeared from Prometheus target discovery. days. Create a sidecar to the Prometheus Server that can modify this configMap. Because we will do a lot of changes to the ConfigMap of our future Prometheus - worth to add the Reloader now, so pods will apply those changes immediately without our intervention.. The number of Prometheus replicas using this config (2), The ruleSelector that will dynamically configure alerting rules, The Alertmanager deployment (could be more than one pod for redundancy) that will receive the triggered alerts. When we were defining our Prometheus deployment there was a configuration block to filter and match these objects: If you define an object containing the PromQL rules you desire and matching the desired metadata, they will be automatically added to the Prometheus servers’ configuration (you can find this file in the repository as shown below). sum(rate(container_cpu_usage_seconds_total{job="kubelet", image!="", container_name!=""}[5m])) by (namespace), record: namespace:container_cpu_usage_seconds_total:sum_rate, sum by (namespace, pod_name, container_name) (, rate(container_cpu_usage_seconds_total{job="kubelet", image!="", container_name!=""}[5m]), record: namespace_pod_name_container_name:container_cpu_usage_seconds_total:sum_rate, sum(container_memory_usage_bytes{job="kubelet", image!="", container_name!=""}) by (namespace), record: namespace:container_memory_usage_bytes:sum, sum(rate(container_cpu_usage_seconds_total{job="kubelet", image!="", container_name!=""}[5m])) by (namespace, pod_name), * on (namespace, pod_name) group_left(label_name), label_replace(kube_pod_labels{job="kube-state-metrics"}, "pod_name", "$1", "pod", "(.