{"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\/sk\/blog\/administrirovanie\/monitoring-postgres-vnutri-openshift","title":{"rendered":"Monitorovanie postgres v Openshift","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Dobr\u00fd de\u0148, obyvatelia Habra!<\/p>\n<p>Dnes v\u00e1m chcem poveda\u0165, ako sme ve\u013emi chceli monitorova\u0165 postgres a e\u0161te nieko\u013eko ent\u00edt vn\u00fatri klastrov OpenShift a ako sme to dosiahli.<\/p>\n<p>Na vstupe sme mali:<\/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 \/>\nPre pr\u00e1cu s aplik\u00e1ciou v jave to bolo celkom jednoduch\u00e9 a preh\u013eadn\u00e9, a ak to m\u00e1m by\u0165 presnej\u0161\u00ed, takto:<\/p>\n<p>1) Pridanie do build.gradle <\/p>\n<pre><code class=\"plaintext\"> implementation \"io.micrometer:micrometer-registry-prometheus\"<\/code><\/pre>\n<p>\n2) Spustenie prometheus s konfigur\u00e1ciou <\/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          - 'n\u00e1zov'<\/code><\/pre>\n<p>\n3) Pridanie zobrazenia v Grafana <\/p>\n<p>V\u0161etko bolo celkom jednoduch\u00e9 a prozaick\u00e9, a\u017e k\u00fdm nenastal okamih monitorova\u0165 datab\u00e1zy, ktor\u00e9 s\u00fa ved\u013ea n\u00e1s v namespaci (\u00e1no, to je zl\u00e9, nikto tak nerob\u00ed, ale st\u00e1va sa to).<\/p>\n<h3>Ako to funguje? <\/h3>\n<p>\nOkrem podu s postgres a vlastne prometheus potrebujeme e\u0161te jednu entitu - export\u00e9r.<\/p>\n<p>Export\u00e9r v abstraktnom pon\u00edman\u00ed je agent, ktor\u00fd zbiera metriky z aplik\u00e1cie alebo dokonca <a class=\"wpil_keyword_link\" href=\"https:\/\/prohoster.info\/sk\/server\/dts-los-angeles\/\"   title=\"servera\" data-wpil-keyword-link=\"linked\"  data-wpil-monitor-id=\"3521\">servera<\/a>. Export\u00e9r pre postgres je nap\u00edsan\u00fd v Go, funguje na princ\u00edpe sp\u00fa\u0161\u0165ania sql skriptov v datab\u00e1ze a n\u00e1sledne z\u00edskava v\u00fdsledky, ktor\u00e9 pred\u00e1va prometheus. To takisto umo\u017e\u0148uje roz\u0161irova\u0165 zbieran\u00e9 metriky, prid\u00e1van\u00edm vlastn\u00fdch.<\/p>\n<p>Deployujeme ho takto (pr\u00edklad deployment.yaml, bez z\u00e1v\u00e4zkov):<\/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>\nTakisto pre neho potrebujeme slu\u017ebu a image stream.<\/p>\n<p>Po nasaden\u00ed si ve\u013emi \u017eel\u00e1me, aby sa v\u0161etci videli navz\u00e1jom.<\/p>\n<p>Prid\u00e1me do konfigur\u00e1cie prometheusa tak\u00fdto k\u00fasok:<\/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>\nA tu to v\u0161etko za\u010dalo fungova\u0165, zost\u00e1va to v\u0161etko prida\u0165 do Grafany a u\u017e\u00edva\u0165 si v\u00fdsledok.<\/p>\n<p>Okrem mo\u017enosti prid\u00e1va\u0165 vlastn\u00e9 dotazy, v prometheus je mo\u017en\u00e9 upravova\u0165 nastavenia a zbiera\u0165 cie\u013eove metriky, ktor\u00e9 potrebujeme.<\/p>\n<p>Rovnak\u00fdm sp\u00f4sobom to bolo uroben\u00e9 pre:<\/p>\n<ul>\n<li>Kafka<\/li>\n<li>Elasticsearch<\/li>\n<li>Mongo<\/li>\n<\/ul>\n<p>\nP.S. V\u0161etky \u00fadaje o n\u00e1zvoch, portoch a ostatnom s\u00fa vymyslen\u00e9 a nemaj\u00fa \u017eiadnu informa\u010dn\u00fa hodnotu. <\/p>\n<p>U\u017eito\u010dn\u00e9 odkazy:<br \/>\n<noindex><a rel=\"nofollow\" href=\"https:\/\/prometheus.io\/docs\/instrumenting\/exporters\/\">Zoznam r\u00f4znych export\u00e9rov<\/a><\/noindex><br \/>\n<br \/>Zdroj: <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 5.0.3 - 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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