{"id":4441,"date":"2018-01-16T18:07:09","date_gmt":"2018-01-17T02:07:09","guid":{"rendered":"http:\/\/www.couchbase.com\/blog\/?p=4441"},"modified":"2025-06-13T19:28:28","modified_gmt":"2025-06-14T02:28:28","slug":"speculative-execution-processor-vulnerabilities-performance-impact-analysis","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/es\/speculative-execution-processor-vulnerabilities-performance-impact-analysis\/","title":{"rendered":"Vulnerabilidades del procesador de ejecuci\u00f3n especulativa - An\u00e1lisis del impacto en el rendimiento"},"content":{"rendered":"

La semana pasada publicamos un\u00a0<\/span>blog<\/span><\/a>\u00a0con recomendaciones sobre la seguridad de la plataforma de datos Couchbase en respuesta a las vulnerabilidades de seguridad de todo el sector. <\/span>Seguimos analizando el posible impacto en el rendimiento causado por los binarios del sistema operativo parcheados y esta entrada del blog recoge la evaluaci\u00f3n detallada.<\/span><\/p>\n

Como se mencion\u00f3 en el blog anterior, para que estos ataques sean factibles, los atacantes deben ser capaces de ejecutar procesos maliciosos en el mismo host y procesador que los procesos de la v\u00edctima. El riesgo de que este ataque se produzca en un entorno de producci\u00f3n controlado es bajo, ya que existen restricciones sobre las aplicaciones que se ejecutan. <\/span><\/p>\n

Si puede controlar el acceso a una m\u00e1quina, puede que no necesite (cuando proceda<\/strong>) para configurar los par\u00e1metros del kernel con el fin de habilitar las mitigaciones y, por tanto, no incurrir en una degradaci\u00f3n del rendimiento.<\/span><\/p>\n

An\u00e1lisis de impacto<\/span><\/h2>\n

Cuando parchee su sistema operativo con los binarios disponibles actualmente para mitigar estos ataques, es probable que vea un aumento de la utilizaci\u00f3n de la CPU. Por ejemplo, el uso de la CPU aument\u00f3 alrededor de 20% durante una de nuestras pruebas. (Consulte la p\u00e1gina de supervisi\u00f3n de su consola web para acceder a las estad\u00edsticas de los cubos).<\/span><\/p>\n

\"\"<\/p>\n

 <\/p>\n

Para evaluar el impacto en el rendimiento realizamos las siguientes pruebas <\/span><\/p>\n

    \n
  • Escenario 'A' - Couchbase Cluster est\u00e1 suficientemente dimensionado con capacidad adicional para el despliegue en producci\u00f3n.<\/span><\/li>\n
  • Escenario 'B' - Couchbase Cluster est\u00e1 dimensionado apropiadamente para manejar la carga existente, pero sin m\u00e1s capacidad disponible. <\/span><\/li>\n<\/ul>\n

    Carga de trabajo<\/span><\/h2>\n

    Carga de trabajo A de YCSB con carga de trabajo mixta (50\/50 lectura\/escritura). <\/span><\/p>\n

    Escenario A<\/span><\/h2>\n

    Ejecut\u00e9 YCSB Workload A en Couchbase Cluster - 4 nodos, 2 buckets, Procesador Intel E5-2630 v4 con 20 n\u00facleos hyper-threaded, 64GB RAM. <\/span><\/p>\n

    Comparamos el rendimiento entre el n\u00facleo CentOS 7 sin parches <\/span>3.10.0-514.2.2' y parcheado 'CentOS 7 kernel 3.10.0.693.11.6' versi\u00f3n. \u00a0<\/span><\/p>\n

    Resultados<\/strong> - El gr\u00e1fico siguiente muestra <\/span>Utilizaci\u00f3n de la CPU<\/b> aument\u00f3 aproximadamente en 30% en las m\u00e1quinas parcheadas. Sin embargo, el impacto en el rendimiento de <\/span>Rendimiento<\/b> y <\/span>Latencia<\/b> estaba por debajo de 5%, ya que estas m\u00e1quinas ten\u00edan capacidad de CPU adicional para crecer.<\/span><\/p>\n

    \"\"<\/p>\n

    \"\"<\/p>\n

    \n\n\n\n\n\n\n\n\n\n
     <\/p>\n

     <\/td>\n

    		<\/td>\nSin parches - CentOS 7 kernel 3.10.0-514.2.2\u00a0<\/strong>(en\u00a0<\/b>\u03bcs<\/b>)<\/b><\/strong><\/td>\nParcheado - CentOS 7 kernel 3.10.0-693.11.6\u00a0<\/strong>(en\u00a0<\/b>\u03bcs<\/b>)<\/b><\/strong><\/td>\n<\/tr>\n
    Latencia de lectura<\/td>\nMedia<\/td>\n187<\/td>\n196<\/td>\n<\/tr>\n
    95<\/td>\n213<\/td>\n228<\/td>\n<\/tr>\n
    99<\/td>\n1,497<\/td>\n1,525<\/td>\n<\/tr>\n
    Latencia de escritura<\/td>\nMedia<\/td>\n209<\/td>\n219<\/td>\n<\/tr>\n
    95<\/td>\n236<\/td>\n254<\/td>\n<\/tr>\n
    99<\/td>\n1,583<\/td>\n1,606<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

    Escenario B<\/span><\/h2>\n

    Ejecute YCSB Workload A en Couchbase Cluster - 3 nodos, 1 bucket, Procesador Intel E5-2680 v3 con 12 cores, 64GB RAM.<\/span><\/p>\n

    Resultados<\/strong>: El gr\u00e1fico siguiente muestra Rendimiento<\/strong> y Latencia<\/strong> en la m\u00e1quina parcheada se ve afectada ya que la CPU est\u00e1 funcionando cerca de la utilizaci\u00f3n m\u00e1xima en estas m\u00e1quinas.<\/span><\/p>\n

    \"\"<\/p>\n

    \n\n\n\n\n\n\n\n\n\n
    <\/td>\n <\/p>\n

     <\/td>\n

    		Sin parches - CentOS 7 kernel 3.10.0-514.2.2 (en\u00a0<\/b>\u03bcs<\/b>)<\/b><\/td>\nParcheado - CentOS 7 kernel 3.10.0-693.11.6\u00a0<\/b>(en \u03bcs)<\/b><\/td>\n<\/tr>\n
    Latencia de lectura<\/span><\/td>\nMedia<\/span><\/td>\n847<\/span><\/td>\n1,318<\/span><\/td>\n<\/tr>\n
    95<\/span><\/td>\n2,627<\/span><\/td>\n4,093<\/span><\/td>\n<\/tr>\n
    99<\/span><\/td>\n7,207<\/span><\/td>\n9,167<\/span><\/td>\n<\/tr>\n
    Latencia de escritura<\/span><\/td>\nMedia<\/span><\/td>\n879<\/span><\/td>\n1,352<\/span><\/td>\n<\/tr>\n
    95<\/span><\/td>\n2,703<\/span><\/td>\n4,163<\/span><\/td>\n<\/tr>\n
    99<\/span><\/td>\n7,315<\/span><\/td>\n9,271<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

    Conclusi\u00f3n<\/span><\/h2>\n

    Recomendamos reevaluar el tama\u00f1o de su cl\u00faster Couchbase para asegurarse de que tiene capacidad de CPU adicional antes de aplicar el parche OS para tener un impacto m\u00ednimo en el rendimiento y la latencia.<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    Last week, we published a\u00a0blog\u00a0with recommendation on securing Couchbase data platform in response to industry-wide security vulnerabilities. We continued to analyze the potential performance impact caused by the patched OS binaries and this blog post captures the detailed evaluation. As […]<\/p>\n","protected":false},"author":8,"featured_media":13873,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1810,1816,1813],"tags":[],"ppma_author":[8952],"class_list":["post-4441","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-couchbase-mobile","category-couchbase-server","category-security"],"yoast_head":"\nLearn about the Couchbase Performance Impact Analysis<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.couchbase.com\/blog\/es\/speculative-execution-processor-vulnerabilities-performance-impact-analysis\/\" \/>\n<meta property=\"og:locale\" content=\"es_MX\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Speculative Execution Processor Vulnerabilities - Performance Impact Analysis\" \/>\n<meta property=\"og:description\" content=\"Last week, we published a\u00a0blog\u00a0with recommendation on securing Couchbase data platform in response to industry-wide security vulnerabilities. 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