{"id":38253,"date":"2019-10-31T22:22:35","date_gmt":"2019-10-31T19:22:35","guid":{"rendered":"https:\/\/prohoster.info\/blog\/monitoring-postgres-vnutri-openshift\/"},"modified":"2019-10-31T22:22:35","modified_gmt":"2019-10-31T19:22:35","slug":"monitoring-postgres-vnutri-openshift","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sv\/blog\/administrirovanie\/monitoring-postgres-vnutri-openshift","title":{"rendered":"\u00d6vervakning av postgres inuti Openshift","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>God dag, inv\u00e5nare av Habra!<\/p>\n<p>Idag vill jag ber\u00e4tta f\u00f6r er hur vi verkligen ville \u00f6vervaka postgres och ett par andra enheter inuti OpenShift-klustret och hur vi gjorde det.<\/p>\n<p>Vi hade f\u00f6ljande:<\/p>\n<ul>\n<li>Openshift<\/li>\n<li>Helm<\/li>\n<li>Prometheus<\/li>\n<\/ul>\n<p>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><br \/>\nF\u00f6r att arbeta med Java-applikationen var allt ganska enkelt och klart, eller mer exakt:<\/p>\n<p>1) L\u00e4gga till i build.gradle <\/p>\n<pre><code class=\"plaintext\"> implementation \"io.micrometer:micrometer-registry-prometheus\"<\/code><\/pre>\n<p>\n2) K\u00f6ra prometheus med konfiguration <\/p>\n<pre><code class=\"xml\"> - job_name: 'job-name'\n    metrics_path: '\/actuator\/prometheus'\n    scrape_interval: 5s\n    kubernetes_sd_configs:\n    - role: pod\n      namespaces:\n        names:\n          - 'name'<\/code><\/pre>\n<p>\n3) L\u00e4gga till visning i Grafana <\/p>\n<p>Allt var ganska enkelt och klart tills vi n\u00e5dde punkten att \u00f6vervaka databaserna som finns i v\u00e5r n\u00e4rmilj\u00f6 (ja, det \u00e4r d\u00e5ligt, ingen g\u00f6r s\u00e5, men s\u00e5dant h\u00e4nder).<\/p>\n<h3>Hur fungerar det? <\/h3>\n<p>\nF\u00f6rutom podden med postgres och sj\u00e4lva prometheus beh\u00f6ver vi ocks\u00e5 en annan enhet \u2014 exporter.<\/p>\n<p>Exporter i abstrakt mening \u00e4r en agent som samlar in metrik fr\u00e5n applikationen eller till och med <a class=\"wpil_keyword_link\" href=\"https:\/\/prohoster.info\/sv\/server\/dts-los-angeles\/\"   title=\"servern\" data-wpil-keyword-link=\"linked\"  data-wpil-monitor-id=\"3521\">servern<\/a>. F\u00f6r postgres exporter \u00e4r skriven i Go och arbetar p\u00e5 principen att k\u00f6ra SQL-skript mot databasen och sedan h\u00e4mtar prometheus de erh\u00e5llna resultaten. Detta g\u00f6r det ocks\u00e5 m\u00f6jligt att ut\u00f6ka de insamlade metrikarna genom att l\u00e4gga till egna.<\/p>\n<p>Vi distribuerar det p\u00e5 f\u00f6ljande s\u00e4tt (exempel p\u00e5 deployment.yaml, ingen tvingande struktur):<\/p>\n<pre><code class=\"xml\">\n---\napiVersion: extensions\/v1beta1\nkind: Deployment\nmetadata:\n  name: postgres-exporter\n  labels:\n    app: {{ .Values.name }}\n    monitoring: prometheus\nspec:\n  serviceName: {{ .Values.name }}\n  replicas: 1\n  revisionHistoryLimit: 5\n  template:\n    metadata:\n      labels:\n        app: postgres-exporter\n        monitoring: prometheus\n    spec:\n      containers:\n      - env:\n        - name: DATA_SOURCE_URI\n          value: postgresdb:5432\/pstgr?sslmode=disable\n        - name: DATA_SOURCE_USER\n          value: postgres\n        - name: DATA_SOURCE_PASS\n          value: postgres\n        resources:\n          limits:\n            cpu: 100m\n            memory: 50Mi\n          requests:\n            cpu: 100m\n            memory: 50Mi\n        livenessProbe:\n          tcpSocket:\n            port: metrics\n          initialDelaySeconds: 30\n          periodSeconds: 30\n        readinessProbe:\n          tcpSocket:\n            port: metrics\n          initialDelaySeconds: 10\n          periodSeconds: 30\n        image: exporter\n        name: postgres-exporter\n        ports:\n        - containerPort: 9187\n          name: metrics<\/code><\/pre>\n<p>\nVi beh\u00f6vde ocks\u00e5 en tj\u00e4nst och en image stream f\u00f6r den.<\/p>\n<p>Efter distributionen vill vi g\u00e4rna att allt ska kunna se varandra.<\/p>\n<p>Vi l\u00e4gger till f\u00f6ljande del i prometheus-konfigurationen:<\/p>\n<pre><code class=\"xml\">  - job_name: 'postgres_exporter'\n    metrics_path: '\/metrics'\n    scrape_interval: 5s\n    dns_sd_configs:\n    - names:\n      - 'postgres-exporter'\n      type: 'A'\n      port: 9187<\/code><\/pre>\n<p>\nOch h\u00e4r b\u00f6rjade allt fungera, kvar att l\u00e4gga till allt detta i Grafana och njuta av resultatet.<\/p>\n<p>F\u00f6rutom m\u00f6jligheten att l\u00e4gga till egna fr\u00e5gor kan man i Prometheus \u00e4ndra inst\u00e4llningarna f\u00f6r att samla in mer riktade metrikdata som beh\u00f6vs.<\/p>\n<p>P\u00e5 liknande s\u00e4tt gjordes f\u00f6ljande f\u00f6r:<\/p>\n<ul>\n<li>Kafka<\/li>\n<li>Elasticsearch<\/li>\n<li>Mongo<\/li>\n<\/ul>\n<p>\nP.S. All information om namn, portar och annat \u00e4r p\u00e5hittad och b\u00e4r ingen information. <\/p>\n<p>Nyttiga l\u00e4nkar:<br \/>\n<noindex><a rel=\"nofollow\" href=\"https:\/\/prometheus.io\/docs\/instrumenting\/exporters\/\">Lista \u00f6ver olika exporters<\/a><\/noindex><br \/>\n<br \/>K\u00e4lla: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/467915\/\">habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0414\u043e\u0431\u0440\u043e\u0433\u043e \u0432\u0440\u0435\u043c\u0435\u043d\u0438 \u0441\u0443\u0442\u043e\u043a \u0436\u0438\u0442\u0435\u043b\u0438 \u0425\u0430\u0431\u0440\u0430! \u0421\u0435\u0433\u043e\u0434\u043d\u044f \u0445\u043e\u0447\u0443 \u0440\u0430\u0441\u0441\u043a\u0430\u0437\u0430\u0442\u044c \u0432\u0430\u043c, \u043a\u0430\u043a \u043d\u0430\u043c \u043e\u0447\u0435\u043d\u044c \u0445\u043e\u0442\u0435\u043b\u043e\u0441\u044c \u043c\u043e\u043d\u0438\u0442\u043e\u0440\u0438\u0442\u044c postgres \u0438 \u0435\u0449\u0435 \u043f\u0430\u0440\u0443 \u0441\u0443\u0449\u043d\u043e\u0441\u0442\u0435\u0439 \u0432\u043d\u0443\u0442\u0440\u0438 \u043a\u043b\u0430\u0441\u0442\u0435\u0440\u0430 OpenShift \u0438 \u043a\u0430\u043a \u043c\u044b \u044d\u0442\u043e \u0441\u0434\u0435\u043b\u0430\u043b\u0438. \u041d\u0430 \u0432\u0445\u043e\u0434\u0435 \u0438\u043c\u0435\u043b\u0438: Openshift Helm Prometheus \u0414\u043b\u044f \u0440\u0430\u0431\u043e\u0442\u044b \u0441 java \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u0435\u043c \u0432\u0441\u0435 \u0431\u044b\u043b\u043e \u0434\u043e\u0432\u043e\u043b\u044c\u043d\u043e \u043f\u0440\u043e\u0441\u0442\u043e \u0438 \u043f\u0440\u043e\u0437\u0440\u0430\u0447\u043d\u043e, \u0430 \u0435\u0441\u043b\u0438 \u0431\u044b\u0442\u044c \u0442\u043e\u0447\u043d\u0435\u0435, \u0442\u043e: 1) \u0414\u043e\u0431\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u0432 build.gradle implementation &#171;io.micrometer:micrometer-registry-prometheus&#187; [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[688],"tags":[],"class_list":["post-38253","post","type-post","status-publish","format-standard","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.4 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0414\u043e\u0431\u0440\u043e\u0433\u043e \u0432\u0440\u0435\u043c\u0435\u043d\u0438 \u0441\u0443\u0442\u043e\u043a \u0436\u0438\u0442\u0435\u043b\u0438 \u0425\u0430\u0431\u0440\u0430! 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