{"id":6344,"date":"2019-02-05T12:46:26","date_gmt":"2019-02-05T20:46:26","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=6344"},"modified":"2019-03-04T06:33:06","modified_gmt":"2019-03-04T14:33:06","slug":"couchbase-monitoring-integration-with-prometheus-and-grafana","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/es\/couchbase-monitoring-integration-with-prometheus-and-grafana\/","title":{"rendered":"Integraci\u00f3n de la monitorizaci\u00f3n de Couchbase con Prometheus y Grafana"},"content":{"rendered":"

Couchbase es una plataforma de datos empresariales que permite el rendimiento a escala mediante la combinaci\u00f3n de una arquitectura \u00fanica que prioriza la memoria con N1QL -que combina la agilidad de SQL con la potencia de JSON-, entre otras funciones integradas como la b\u00fasqueda de texto completo, los eventos, el an\u00e1lisis y la indexaci\u00f3n secundaria global.<\/span><\/p>\n

Las empresas que tienen como objetivo proporcionar una experiencia de usuario moderna, fiable y personalizada en toda su oferta tecnol\u00f3gica suelen aprovisionar varios cl\u00fasteres de nodos Couchbase. Estos diferentes clusters ofrecen el mismo rendimiento a escala en diferentes verticales, casos de uso y sistemas de misi\u00f3n cr\u00edtica, adem\u00e1s de simplemente tener clusters adicionales que sirven como mecanismos de recuperaci\u00f3n de desastres\/backup. Aunque la intuitiva interfaz de usuario de Couchbase permite una gesti\u00f3n sencilla y sin problemas de los cl\u00fasteres y los buckets de datos -al ofrecer varias funcionalidades de un solo clic para las distintas tareas de mantenimiento y administraci\u00f3n (es decir, reequilibrar, a\u00f1adir un nodo, conmutaci\u00f3n por error, etc)-, cada vez es m\u00e1s importante tener una visi\u00f3n hol\u00edstica de todo el ecosistema de Couchbase. Esto es especialmente cierto en los casos en que una organizaci\u00f3n determinada despliega varios cl\u00fasteres para la geolocalizaci\u00f3n de los datos o para dar soporte a varios microservicios que abarcan diferentes segmentos, centros de coste o verticales.<\/span><\/p>\n

Primeros pasos: Exportaci\u00f3n de m\u00e9tricas de rendimiento<\/span><\/h2>\n

Utilizando <\/span>Exportador Couchbase<\/span><\/a> (desarrollado por nuestro socio comunitario <\/span>Laboratorios TOTVS<\/span><\/a>) en combinaci\u00f3n con <\/span>Prometeo<\/span><\/a>y <\/span>Grafana<\/span><\/a>Ahora es posible exportar las principales m\u00e9tricas de rendimiento de uno o m\u00e1s cl\u00fasteres y visualizar sus diversos aspectos de rendimiento a trav\u00e9s de un panel gr\u00e1fico. La siguiente captura ilustra un ejemplo de panel de control para 2 cl\u00fasteres de Couchbase:<\/span><\/p>\n

\"\"<\/p>\n

A continuaci\u00f3n encontrar\u00e1 instrucciones detalladas sobre c\u00f3mo instalar y configurar Couchbase Exporter, Prometheus y Grafana:<\/span><\/p>\n

En primer lugar, empecemos por instalar los componentes de c\u00f3digo abierto necesarios para que todo esto funcione. <\/span><\/p>\n

Exportador Couchbase<\/h4>\n

Instale Couchbase Exporter clonando el repositorio de GitHub <\/span>https:\/\/github.com\/totvslabs\/couchbase-exporter<\/span><\/a> y construyendo desde el c\u00f3digo fuente, o descargando el binario de la \u00faltima versi\u00f3n desde <\/span>https:\/\/github.com\/totvslabs\/couchbase-exporter\/releases<\/span><\/a> - Una vez instalado, es necesario ejecutar un proceso Couchbase Exporter independiente para cada cl\u00faster de Couchbase Server que se desee monitorizar, utilizando la siguiente sintaxis:<\/span><\/p>\n

.\/couchbase-exporter --couchbase.username Administrator --couchbase.password password --web.listen-address=\":9420\" --couchbase.url=\"https:\/\/52.38.xx.xx:8091\"<\/pre>\n
Por defecto, Couchbase Exporter se ejecutar\u00e1 en el puerto 9420 e intentar\u00e1 conectarse al servidor <\/span>Couchbase Server ejecut\u00e1ndose en <\/span>https:\/\/localhost:8091<\/span><\/a>, sin embargo, para la mayor\u00eda de los usuarios, es mejor especificar un n\u00famero de puerto libre as\u00ed como el Cluster de Couchbase en cuesti\u00f3n expl\u00edcitamente (la direcci\u00f3n IP de cualquier nodo de un cluster existente ser\u00e1 suficiente). Para los prop\u00f3sitos de este tutorial, ejecutar\u00e9 2 instancias de Couchbase Exporter contra 2 clusters AWS EC2 Demo localizados en el momento de escribir este art\u00edculo en 52.38.xx.xx y 52.40.xx.xx. La segunda instancia de Couchbase Exporter se inicia usando lo siguiente:<\/span><\/p>\n
$ .\/couchbase-exporter --couchbase.username Administrator --couchbase.password password --web.listen-address=\":9421\" --couchbase.url=\"https:\/\/52.40.xx.xx:8091\"<\/pre>\n
Aqu\u00ed est\u00e1n las capturas de pantalla de la ejecuci\u00f3n de estas 2 instancias Couchbase Exportador. Nota <\/span>estas instancias se ejecutan ahora en <\/span>https:\/\/localhost:9420<\/span><\/a> y\u00a0<\/span>https:\/\/localhost:9421<\/span><\/a>, <\/span>respectivamente. Estas 2 URL se utilizar\u00e1n m\u00e1s adelante para configurar Prometheus.<\/span><\/p>\n
\"\" \"\"<\/p>\n
Prometeo<\/h4>\n
Instale Prometheus con el m\u00e9todo de instalaci\u00f3n de su elecci\u00f3n siguiendo los pasos descritos en <\/span>https:\/\/prometheus.io\/docs\/prometheus\/latest\/installation\/<\/span><\/a> - Una vez instalado, ahora puede editar el archivo prometheus.yml que est\u00e1 disponible en el mismo directorio que el binario de Prometheus. Este archivo YAML necesita ser modificado para especificar los objetivos de Couchbase Exporter que fueron configurados en el paso 1. En este ejemplo, modificaremos la secci\u00f3n scrape_configs del archivo YAML como sigue:<\/span><\/p>\n
scrape_configs:\r\n\u00a0# The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.\r\n\u00a0- job_name: 'couchbase'\r\n\r\n\u00a0\u00a0\u00a0# metrics_path defaults to '\/metrics'\r\n\u00a0\u00a0\u00a0# scheme defaults to 'http'.\r\n\u00a0\u00a0\u00a0static_configs:\r\n\r\n\u00a0\u00a0\u00a0- targets: ['localhost:9420', 'localhost:9421']<\/pre>\n
Una vez modificada la secci\u00f3n scrape_configs para que apunte a las instancias de Couchbase Exporter, ya podemos iniciar Prometheus de la siguiente forma:<\/span><\/p>\n
$. \/prometheus --config.file=prometheus.yml<\/pre>\n
Ahora Prometheus debe ser iniciado y accesible a trav\u00e9s del puerto 9090 (es decir. <\/span>https:\/\/localhost:9090<\/span><\/a>)<\/span><\/p>\n
Grafana<\/h4>\n
Instale Grafana con el m\u00e9todo de instalaci\u00f3n de su elecci\u00f3n siguiendo los pasos descritos en <\/span>https:\/\/docs.grafana.org\/installation\/<\/span><\/a> - Una vez instalado, deber\u00eda poder iniciar Grafana (es decir $ sudo service grafana-server start<\/span>\u00a0<\/span>) y acceder a \u00e9l por el puerto 3000 (es decir <\/span>https:\/\/localhost:3000<\/span><\/a>) - El nombre de usuario y la contrase\u00f1a por defecto son <\/span>admin\/admin<\/b>Sin embargo, se recomienda encarecidamente establecer estas credenciales de acuerdo con la pol\u00edtica de seguridad de su organizaci\u00f3n.<\/span><\/p>\n
Ahora que Grafana ha sido instalado e iniciado, vamos a a\u00f1adir y configurar la fuente de datos Prometheus de la siguiente manera:<\/span><\/p>\n
\"\"<\/p>\n
Visualizaci\u00f3n de las m\u00e9tricas de rendimiento:<\/span><\/h2>\n
Ahora que Couchbase Exporter, Prometheus, y Grafana han sido correctamente instalados y configurados, procederemos a importar un ejemplo de dashboard de Grafana usando este ejemplo JSON<\/a><\/span>. Este es un ejemplo de panel de control con fines ilustrativos y no constituye una recomendaci\u00f3n sobre qu\u00e9 m\u00e9tricas monitorizar para su caso de uso particular. Es probable que su organizaci\u00f3n necesite un panel de control personalizado con m\u00e9tricas espec\u00edficas de Couchbase relevantes para su caso de uso individual y, por lo tanto, este ejemplo no se ajusta necesariamente a ese prop\u00f3sito particular.<\/span><\/p>\n
\"\"<\/p>\n
Una vez importado el dashboard, deber\u00edas poder cargarlo en Grafana. La siguiente captura de pantalla muestra el estado de los 2 cl\u00fasteres configurados en el paso 1.<\/span><\/p>\n
\"\"<\/p>\n
Puede que haya notado que el uso de RAM del segundo cluster muestra N\/A. Esto refleja correctamente el hecho de que el segundo cluster no tiene ning\u00fan cubo en este momento. Sigamos adelante y a\u00f1adamos cubos de muestra a ese cluster. Una vez a\u00f1adidos, el panel de control se actualiza para mostrar el uso actualizado de RAM en 15.5% (este porcentaje variar\u00e1 en funci\u00f3n de la RAM asignada al cluster):<\/span><\/p>\n
\"\"<\/p>\n
Cada cluster fue configurado inicialmente para tener 3 nodos. Vamos a a\u00f1adir un cuarto nodo al segundo cluster. Una vez a\u00f1adido un nodo, el panel de control actualizado mostrar\u00e1 lo siguiente:<\/span><\/p>\n
\"\"<\/p>\n
Desde que se a\u00f1adi\u00f3 el 4\u00ba nodo, y no se ha reequilibrado el cluster, el servidor\u00a0<\/span>El recuento se ha actualizado para mostrar 4 nodos en total, sin embargo, el estado de reequilibrio es <\/span>mostrando correctamente que el reequilibrio no se ha completado. Sigamos adelante y lancemos un <\/span>reequilibrio. Una vez que se activa el reequilibrio a trav\u00e9s de la interfaz de usuario de Couchbase, el reequilibrio se actualiza. <\/span>salpicadero mostrar\u00e1 lo siguiente:<\/span><\/p>\n
\"\"<\/p>\n
Como puede ver, el indicador de reequilibrio muestra ahora un progreso de 26,4%. Una vez que el <\/span>Cuando se haya completado el reequilibrio, el panel actualizado mostrar\u00e1 lo siguiente:<\/span><\/p>\n
\"\"<\/p>\n
El reequilibrio se ha completado, y ahora puede observar que el uso de RAM del cubo muestra 21.3%, para reflejar la capacidad del nodo adicional que se a\u00f1ade al cl\u00faster, reduciendo as\u00ed el uso total real de los 3 cubos de muestras.<\/span><\/p>\n
Recapitulemos:<\/span><\/h2>\n
En este blog, hemos instalado Prometheus, Grafana y Couchbase Exporter para monitorizar m\u00faltiples clusters de Couchbase. El panel de control de Grafana permite monitorizar visualmente las m\u00e9tricas clave y los indicadores de rendimiento de los cl\u00fasteres de Couchbase Server en un lugar central. Adem\u00e1s, Prometheus permite la configuraci\u00f3n de reglas de alerta que enviar\u00edan notificaciones a un usuario o lista de correo sobre ciertas condiciones para cuando una m\u00e9trica determinada cae o supera un determinado umbral.<\/span><\/p>\n
A continuaci\u00f3n figuran los recursos utilizados a lo largo de este blog:<\/span><\/p>\n
    \n
  1. Fuente de Couchbase Exporter<\/span><\/a><\/li>\n
  2. Binarios del exportador Couchbase<\/span><\/a><\/li>\n
  3. Prometeo<\/span><\/a><\/li>\n
  4. Grafana<\/span><\/a><\/li>\n
  5. Ejemplo de reglas Couchbase para Prometheus<\/span><\/a><\/li>\n<\/ol>","protected":false},"excerpt":{"rendered":"
    Couchbase is an enterprise data platform that enables performance at scale by combining a unique memory-first architecture with N1QL \u2013which combines the agility of SQL with the power of JSON \u2013 amongst other built-in features as as Full-Text Search, Eventing, […]<\/p>","protected":false},"author":31426,"featured_media":6367,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1816,2334],"tags":[],"ppma_author":[9078],"class_list":["post-6344","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-couchbase-server","category-monitoring"],"acf":[],"yoast_head":"\nCouchbase Monitoring Integration with Prometheus and Grafana<\/title>\n<meta name=\"description\" content=\"Check out detailed instructions on how to install and configure Couchbase Exporter, Prometheus & Grafana in order to monitor multiple 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