{"id":5808,"date":"2018-09-10T22:23:22","date_gmt":"2018-09-11T05:23:22","guid":{"rendered":"http:\/\/www.couchbase.com\/blog\/?p=5808"},"modified":"2025-06-13T23:43:03","modified_gmt":"2025-06-14T06:43:03","slug":"performance-certification-of-couchbase-server-5-5-on-kubernetes-platform","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/pt\/performance-certification-of-couchbase-server-5-5-on-kubernetes-platform\/","title":{"rendered":"Certifica\u00e7\u00e3o de desempenho do operador aut\u00f4nomo do Couchbase no Kubernetes"},"content":{"rendered":"

Na Couchbase, levamos o desempenho muito a s\u00e9rio e, com o lan\u00e7amento do nosso novo produto, o Couchbase Autonomous Operator 1.0, quer\u00edamos ter certeza de que ele \u00e9 de n\u00edvel empresarial e est\u00e1 pronto para produ\u00e7\u00e3o para os clientes. <\/span><\/p>\n

Nesta postagem do blog, discutiremos os resultados detalhados de desempenho da execu\u00e7\u00e3o dos testes de benchmark de desempenho do YCSB no Couchbase Server 5.5 usando o Autonomous Operator para implantar na plataforma Kubernetes. Uma das grandes preocupa\u00e7\u00f5es das empresas que planejam executar o banco de dados no Kubernetes \u00e9 o \"desempenho\". <\/span><\/p>\n

Este documento apresenta uma compara\u00e7\u00e3o r\u00e1pida de duas cargas de trabalho, a saber <\/span>YCSB A & E <\/span><\/a>com o Couchbase Server 5.5 no Kubernetes <\/span>versus metal puro.<\/span><\/p>\n

Carga de trabalho A do YCSB<\/b>: <\/span>Essa carga de trabalho tem uma mistura de 50\/50 de leituras e grava\u00e7\u00f5es. Um exemplo de aplicativo \u00e9 um armazenamento de sess\u00e3o que registra a\u00e7\u00f5es recentes.<\/span><\/p>\n

Carga de trabalho E: intervalos curtos:\u00a0<\/b>Nessa carga de trabalho, s\u00e3o consultados intervalos curtos de registros, em vez de registros individuais. Exemplo de aplicativo: conversas encadeadas, em que cada varredura \u00e9 para as postagens em um determinado encadeamento (supostamente agrupadas por ID de encadeamento).<\/p>\n

Em geral, n\u00e3o observamos nenhuma degrada\u00e7\u00e3o significativa do desempenho na execu\u00e7\u00e3o do Couchbase Cluster no Kubernetes, <\/span>A carga de trabalho A teve um desempenho equivalente em compara\u00e7\u00e3o com o bare metal e a carga de trabalho E teve uma degrada\u00e7\u00e3o de aproximadamente menos de 10%.\u00a0<\/span><\/p>\n

Configura\u00e7\u00e3o<\/b>:<\/span><\/p>\n

Para a configura\u00e7\u00e3o, o Couchbase foi instalado usando a implanta\u00e7\u00e3o do Operator, conforme indicado abaixo. Para obter mais detalhes sobre a configura\u00e7\u00e3o, consulte <\/span>aqui<\/span><\/a><\/p>\n

\"\"<\/p>\n

Arquivos:<\/b><\/p>\n

Implementa\u00e7\u00e3o do operador: deployment.yaml (consulte o Ap\u00eandice)<\/span><\/p>\n

Implanta\u00e7\u00e3o do Couchbase: couchbase-cluster-simple-selector.yaml (consulte o Ap\u00eandice)<\/span><\/p>\n

Implanta\u00e7\u00e3o do gerador de carga de trabalho\/cliente: pillowfight-ycsb.yaml (consulte o Ap\u00eandice) (imagem oficial do docker do pillowfight do dockerhub e instala\u00e7\u00e3o manual do java e do YCSB sobre ela)<\/span><\/p>\n

Hardware:<\/b><\/p>\n

7 servidores<\/span><\/p>\n

24 CPU x 64 GB de RAM por servidor<\/span><\/p>\n

Configura\u00e7\u00e3o do Couchbase<\/b><\/p>\n

4 servidores: 2 n\u00f3s de dados, 2 n\u00f3s de \u00edndice+consulta<\/span><\/p>\n

Cota de 40 GB de RAM para o servi\u00e7o de dados<\/span><\/p>\n

Cota de 40 GB de RAM para servi\u00e7os de \u00edndice<\/span><\/p>\n

1 r\u00e9plica de dados\/bucket<\/span><\/p>\n

1 r\u00e9plica de \u00edndice prim\u00e1rio<\/span><\/p>\n

Testes:<\/b><\/p>\n

Carga de trabalhoA e carga de trabalhoE da YCSB<\/span><\/p>\n

10 milh\u00f5es de documentos<\/span><\/p>\n

Fluxo de trabalho ap\u00f3s a inicializa\u00e7\u00e3o de um novo cluster k8s vazio em 7 servidores:<\/b><\/p>\n

# assign labels to the nodes so all services\/pods will be assigned to right servers:\r\n\r\nkubectl label nodes arke06-sa09 type=power\r\nkubectl label nodes arke07-sa10 type=client\r\nkubectl label nodes ark08-sa11 type=client\r\nkubectl label nodes arke01-sa04 type=kv\r\nkubectl label nodes arke00-sa03 type=kv\r\nkubectl label nodes arke02-sa05 type=kv\r\nkubectl label nodes arke03-sa06 type=kv\r\n<\/pre>\n
#deploy Operator:\r\n\r\nkubectl create -f deployment.yaml\r\n\r\n#deploy Couchbase\r\n\r\nkubectl create -f couchbase-cluster-simple-selector.yaml\r\n\r\n#deploy Client(s):\r\n\r\nkubectl create -f pillowfight-ycsb.yaml\r\n\r\nI ran my tests directly from the client node by logging into the docker image of the client pod:\r\n\r\ndocker exec -it --user root <pillowfight-yscb container id> bash\r\n\r\nAnd installing YCSB environment there manually:\r\n\r\napt-get upgrade\r\n\r\napt-get update\r\n\r\napt-get install -y software-properties-common\r\n\r\napt-get install python\r\n\r\nsudo apt-add-repository ppa:webupd8team\/java\r\n\r\nsudo apt-get update\r\n\r\nsudo apt-get install oracle-java8-installer\r\n\r\nexport JAVA_HOME=\/usr\/lib\/jvm\/java-8-oracle\r\n\r\ncd \/opt\r\n\r\nwget https:\/\/download.nextag.com\/apache\/maven\/maven-3\/3.5.4\/binaries\/apache-maven-3.5.4-bin.tar.gz\r\n\r\nsudo tar -xvzf apache-maven-3.5.4-bin.tar.gz\r\n\r\nexport M2_HOME=\"\/opt\/apache-maven-3.5.4\"\r\n\r\nexport PATH=$PATH:\/opt\/apache-maven-3.5.4\/bin\r\n\r\nsudo update-alternatives --install \"\/usr\/bin\/mvn\" \"mvn\" \"\/opt\/apache-maven-3.5.4\/bin\/mvn\" 0\r\n\r\nsudo update-alternatives --set mvn \/opt\/apache-maven-3.5.4\/bin\/mvn\r\n\r\ngit clone https:\/\/github.com\/couchbaselabs\/YCSB<\/pre>\n
 <\/p>\n
Executar as cargas de trabalho:<\/strong><\/p>\n
Examples of YCSB commands used in this exercise:\r\n\r\nWorkload A\r\n\r\nLoad:\r\n\r\n.\/bin\/ycsb load couchbase2 -P workloads\/workloade -p couchbase.password=password -p couchbase.host=10.44.0.2 -p couchbase.bucket=default -p couchbase.upsert=true -p couchbase.epoll=true -p couchbase.boost=48 -p couchbase.persistTo=0 -p couchbase.replicateTo=0 -p couchbase.sslMode=none -p writeallfields=true -p recordcount=10000000 -threads 50 -p maxexecutiontime=3600 -p operationcount=1000000000\r\n\r\nRun:\r\n\r\n.\/bin\/ycsb run couchbase2 -P workloads\/workloada -p couchbase.password=password -p couchbase.host=10.44.0.2 -p couchbase.bucket=default -p couchbase.upsert=true -p couchbase.epoll=true -p couchbase.boost=48 -p couchbase.persistTo=0 -p couchbase.replicateTo=0 -p couchbase.sslMode=none -p writeallfields=true -p recordcount=10000000 -threads 50 \u00a0-p operationcount=1000000000 -p maxexecutiontime=600 -p exportfile=ycsb_workloadA_22vCPU.log<\/pre>\n
 <\/p>\n
Resultados do teste:<\/b><\/p>\n
\n\n\n\n\n\n
Env<\/b><\/td>\nConfigura\u00e7\u00e3o direta<\/b><\/td>\nRecursos do pod do Kubernetes<\/b><\/td>\nTeste<\/b><\/td>\nBare metal<\/b><\/td>\nKubernetes<\/b><\/td>\nDelta<\/b><\/td>\n<\/tr>\n
Env 1<\/span><\/td>\n22 vCPU, 48 GB de RAM<\/span><\/p>\n
(os n\u00facleos da CPU e a RAM dispon\u00edveis s\u00e3o definidos no n\u00edvel do n\u00facleo do sistema operacional)<\/span><\/td>\n
Limite para:<\/span><\/p>\n
cpu: 22000m = ~22vCPU<\/span><\/p>\n
mem: 48GB <\/span><\/p>\n
Todos os pods est\u00e3o em n\u00f3s dedicados<\/span><\/td>\n
Carga de trabalhoA<\/span><\/p>\n
50\/50 get\/upsert<\/span><\/td>\n
Taxa de transfer\u00eancia: <\/span>194,158<\/b> req\/seg<\/span><\/p>\n
M\u00e9dia de uso da CPU: 86% de todos os 22 n\u00facleos<\/span><\/td>\n
Taxa de transfer\u00eancia: <\/span>192,190<\/b> req\/seg<\/span><\/p>\n
M\u00e9dia de uso da CPU: 94% da cota da CPU<\/span><\/td>\n
– 1%<\/span><\/td>\n<\/tr>\n
Env 2<\/span><\/td>\n16 vCPU, 48 GB de RAM<\/span><\/p>\n
(os n\u00facleos da CPU e a RAM dispon\u00edveis s\u00e3o definidos no n\u00edvel do n\u00facleo do sistema operacional)<\/span><\/td>\n
Limite para:<\/span><\/p>\n
cpu: 16000m = ~16vCPU<\/span><\/p>\n
mem: 48GB <\/span><\/p>\n
Todos os pods est\u00e3o em n\u00f3s dedicados<\/span><\/td>\n
Carga de trabalhoA<\/span><\/p>\n
50\/50 get\/upsert<\/span><\/td>\n
Taxa de transfer\u00eancia: <\/span>141,909<\/b> req\/seg<\/span><\/p>\n
M\u00e9dia de uso da CPU: 89% de todos os 16 n\u00facleos<\/span><\/td>\n
Taxa de transfer\u00eancia: <\/span>145,430<\/b> req\/seg<\/span><\/p>\n
M\u00e9dia de uso da CPU: 100% da cota da CPU<\/span><\/td>\n
+ 2.5%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
Workload E:\r\n\r\nLoad:\r\n\r\n.\/bin\/ycsb load couchbase2 -P workloads\/workloade -p couchbase.password=password -p couchbase.host=10.44.0.2 -p couchbase.bucket=default -p couchbase.upsert=true -p couchbase.epoll=true -p couchbase.boost=48 -p couchbase.persistTo=0 -p couchbase.replicateTo=0 -p couchbase.sslMode=none -p writeallfields=true -p recordcount=10000000 -threads 50 -p maxexecutiontime=3600 -p operationcount=1000000000\r\n\r\nRun:\r\n\r\n.\/bin\/ycsb run couchbase2 -P workloads\/workloade -p couchbase.password=password -p couchbase.host=10.44.0.2 -p couchbase.bucket=default -p couchbase.upsert=true -p couchbase.epoll=true -p couchbase.boost=48 -p couchbase.persistTo=0 -p couchbase.replicateTo=0 -p couchbase.sslMode=none -p writeallfields=true -p recordcount=10000000 -threads 50 \u00a0-p operationcount=1000000000 -p maxexecutiontime=600 -p exportfile=ycsb_workloadE_22vCPU.log\r\n<\/pre>\n
\n\n\n\n\n\n
Env<\/b><\/td>\nConfigura\u00e7\u00e3o direta<\/b><\/td>\nRecursos do pod do Kubernetes<\/b><\/td>\nTeste<\/b><\/td>\nBare metal<\/b><\/td>\nKubernetes<\/b><\/td>\nDelta<\/b><\/td>\n<\/tr>\n
Env 1<\/span><\/td>\n22 vCPU, 48 GB de RAM<\/span><\/p>\n
(os n\u00facleos da CPU e a RAM dispon\u00edveis s\u00e3o definidos no n\u00edvel do n\u00facleo do sistema operacional)<\/span><\/td>\n
Limite para:<\/span><\/p>\n
cpu: 22000m = ~22vCPU<\/span><\/p>\n
mem: 48GB <\/span><\/p>\n
Todos os pods est\u00e3o em n\u00f3s dedicados<\/span><\/td>\n
Carga de trabalhoE<\/span><\/p>\n
95\/5 digitaliza\u00e7\u00e3o\/inser\u00e7\u00e3o<\/span><\/td>\n
Taxa de transfer\u00eancia: <\/span>15,823<\/b> req\/seg<\/span><\/p>\n
M\u00e9dia de uso da CPU: 85% de todos os 22 n\u00facleos<\/span><\/td>\n
Taxa de transfer\u00eancia: <\/span>14,281<\/b> req\/seg<\/span><\/p>\n
M\u00e9dia de uso da CPU: 87% da cota da CPU<\/span><\/td>\n
– 9.7%<\/span><\/td>\n<\/tr>\n
Env 2<\/span><\/td>\n16 vCPU, 48 GB de RAM<\/span><\/p>\n
(os n\u00facleos da CPU e a RAM dispon\u00edveis s\u00e3o definidos no n\u00edvel do n\u00facleo do sistema operacional)<\/span><\/td>\n
Limite para:<\/span><\/p>\n
cpu: 16000m = ~16vCPU<\/span><\/p>\n
mem: 48GB <\/span><\/p>\n
Todos os pods est\u00e3o em n\u00f3s dedicados<\/span><\/td>\n
Carga de trabalhoE<\/span><\/p>\n
95\/5 digitaliza\u00e7\u00e3o\/inser\u00e7\u00e3o<\/span><\/td>\n
Taxa de transfer\u00eancia: <\/span>13,014<\/b> req\/seg<\/span><\/p>\n
M\u00e9dia de uso da CPU: 91% de todos os 16 n\u00facleos<\/span><\/td>\n
Taxa de transfer\u00eancia: <\/span>12,579<\/b> req\/seg<\/span><\/p>\n
M\u00e9dia de uso da CPU: 100% da cota da CPU<\/span><\/td>\n
– 3.3%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
Conclus\u00f5es<\/strong>:<\/span><\/p>\n
O Couchbase Server 5.5 est\u00e1 pronto para produ\u00e7\u00e3o para ser implantado no Kubernetes com o Autonomous Operator. Desempenho do Couchbase Server 5.5 no Kubernetes compar\u00e1vel \u00e0 execu\u00e7\u00e3o em bare metal. \u00a0<\/span>\u00a0<\/span>H\u00e1 pouca penalidade de desempenho na execu\u00e7\u00e3o do Couchbase Server na plataforma Kubernetes. Observando os resultados, a carga de trabalho A teve desempenho equivalente em compara\u00e7\u00e3o com o bare metal e a carga de trabalho E teve aproximadamente menos de 10% de degrada\u00e7\u00e3o. <\/span><\/p>\n
Refer\u00eancias<\/strong>:<\/span><\/p>\n
    \n
  1. Cargas de trabalho do YCSB <\/span>https:\/\/github.com\/brianfrankcooper\/YCSB\/wiki\/Core-Workloads<\/span><\/a><\/li>\n
  2. P\u00e1gina do Kubernetes do Couchbase <\/span>https:\/\/www.couchbase.com\/products\/cloud\/kubernetes<\/span><\/a><\/li>\n
  3. Download do Operador Aut\u00f4nomo do Couchbase <\/span>https:\/\/www.couchbase.com\/downloads<\/span><\/a>\u00a0\u00a0<\/span><\/li>\n
  4. Apresentando o Couchbase Operator https:\/\/www.couchbase.com\/blog\/couchbase-autonomous-operator-1-0-for-kubernetes-and-openshift\/<\/a><\/li>\n<\/ol>\n
    Ap\u00eandice<\/strong><\/p>\n
    Meu arquivo deployment.yaml<\/b><\/p>\n
    apiVersion: extensions\/v1beta1\r\n\r\nkind: Deployment\r\n\r\nmetadata:\r\n\r\n\u00a0name: couchbase-operator\r\n\r\nspec:\r\n\r\n\u00a0replicas: 1\r\n\r\n\u00a0template:\r\n\r\n\u00a0\u00a0\u00a0metadata:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0labels:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0name: couchbase-operator\r\n\r\n\u00a0\u00a0\u00a0spec:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0nodeSelector:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0type: power\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0containers:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0- name: couchbase-operator\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0image: couchbase\/couchbase-operator-internal:1.0.0-292\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0command:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0- couchbase-operator\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0# Remove the arguments section if you are installing the CRD manually\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0args:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0- -create-crd\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0- -enable-upgrades=false\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0env:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0- name: MY_POD_NAMESPACE\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0valueFrom:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0fieldRef:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0fieldPath: metadata.namespace\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0- name: MY_POD_NAME\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0valueFrom:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0fieldRef:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0fieldPath: metadata.name\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0ports:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0- name: readiness-port\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0containerPort: 8080\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0readinessProbe:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0httpGet:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0path: \/readyz\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0port: readiness-port\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0initialDelaySeconds: 3\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0periodSeconds: 3\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0failureThreshold: 19<\/pre>\n
    Meu arquivo couchbase-cluster-simple-selector.yaml<\/b><\/p>\n
    apiVersion: couchbase.database.couchbase.com\/v1\r\n\r\nkind: CouchbaseCluster\r\n\r\nmetadata:\r\n\r\n\u00a0name: cb-example\r\n\r\nspec:\r\n\r\n\u00a0baseImage: couchbase\/server\r\n\r\n\u00a0version: enterprise-5.5.0\r\n\r\n\u00a0authSecret: cb-example-auth\r\n\r\n\u00a0exposeAdminConsole: true\r\n\r\n\u00a0antiAffinity: true\r\n\r\n\u00a0exposedFeatures:\r\n\r\n\u00a0\u00a0\u00a0- xdcr\r\n\r\n\u00a0cluster:\r\n\r\n\u00a0\u00a0\u00a0dataServiceMemoryQuota: 40000\r\n\r\n\u00a0\u00a0\u00a0indexServiceMemoryQuota: 40000\r\n\r\n\u00a0\u00a0\u00a0searchServiceMemoryQuota: 1000\r\n\r\n\u00a0\u00a0\u00a0eventingServiceMemoryQuota: 1024\r\n\r\n\u00a0\u00a0\u00a0analyticsServiceMemoryQuota: 1024\r\n\r\n\u00a0\u00a0\u00a0indexStorageSetting: memory_optimized\r\n\r\n\u00a0\u00a0\u00a0autoFailoverTimeout: 120\r\n\r\n\u00a0\u00a0\u00a0autoFailoverMaxCount: 3\r\n\r\n\u00a0\u00a0\u00a0autoFailoverOnDataDiskIssues: true\r\n\r\n\u00a0\u00a0\u00a0autoFailoverOnDataDiskIssuesTimePeriod: 120\r\n\r\n\u00a0\u00a0\u00a0autoFailoverServerGroup: false\r\n\r\n\u00a0buckets:\r\n\r\n\u00a0\u00a0\u00a0- name: default\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0type: couchbase\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0memoryQuota: 20000\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0replicas: 1\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0ioPriority: high\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0evictionPolicy: fullEviction\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0conflictResolution: seqno\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0enableFlush: true\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0enableIndexReplica: false\r\n\r\n\u00a0servers:\r\n\r\n\u00a0\u00a0\u00a0- size: 2\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0name: data\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0services:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0- data\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0pod:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0nodeSelector:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0type: kv\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0resources:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0limits:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0cpu: 22000m\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0memory: 48Gi\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0requests:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0cpu: 22000m\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0memory: 48Gi\r\n\r\n\u00a0\u00a0\u00a0- size: 2\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0name: qi\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0services:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0- index\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0- query\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0pod:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0nodeSelector:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0type: kv\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0resources:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0limits:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0cpu: 22000m\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0memory: 48Gi\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0requests:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0cpu: 22000m\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0memory: 48Gi\r\n<\/pre>\n
     <\/p>\n
    Meu arquivo pillowfight-ycsb.yaml<\/b><\/p>\n
    apiVersion: batch\/v1\r\n\r\nkind: Job\r\n\r\nmetadata:\r\n\r\n\u00a0name: pillowfight\r\n\r\nspec:\r\n\r\n\u00a0template:\r\n\r\n\u00a0\u00a0\u00a0metadata:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0name: pillowfight\r\n\r\n\u00a0\u00a0\u00a0spec:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0containers:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0- name: pillowfight\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0image: sequoiatools\/pillowfight:v5.0.1\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0command: [\"sh\", \"-c\", \"tail -f \/dev\/null\"]\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0restartPolicy: Never\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0nodeSelector:\r\n\r\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0type: client<\/pre>\n
     <\/p>","protected":false},"excerpt":{"rendered":"
    At Couchbase we take performance very seriously, and with the launch of our new product, Couchbase Autonomous Operator 1.0, we wanted to make sure it\u2019s Enterprise-grade and production ready for customers. In this blog post we will discuss the detailed […]<\/p>","protected":false},"author":86,"featured_media":13873,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1816,1812],"tags":[1545],"ppma_author":[9073],"class_list":["post-5808","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-couchbase-server","category-n1ql-query","tag-kubernetes"],"acf":[],"yoast_head":"\nPerformance of Couchbase Autonomous Operator on Kubernetes<\/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\/pt\/performance-certification-of-couchbase-server-5-5-on-kubernetes-platform\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Performance Certification of Couchbase Autonomous Operator on Kubernetes\" \/>\n<meta property=\"og:description\" content=\"At Couchbase we take performance very seriously, and with the launch of our new product, Couchbase Autonomous Operator 1.0, we wanted to make sure it\u2019s Enterprise-grade and production ready for customers. In this blog post we will discuss the detailed […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.couchbase.com\/blog\/pt\/performance-certification-of-couchbase-server-5-5-on-kubernetes-platform\/\" \/>\n<meta property=\"og:site_name\" content=\"The Couchbase Blog\" \/>\n<meta property=\"article:published_time\" content=\"2018-09-11T05:23:22+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-06-14T06:43:03+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2018\/09\/Screen-Shot-2018-09-10-at-3.31.49-PM.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1184\" \/>\n\t<meta property=\"og:image:height\" content=\"906\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Raju Suravarjjala, Senior Director, Quality Engineering, Couchbase\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" 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Couchbase\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-BR\",\"@id\":\"https:\/\/www.couchbase.com\/blog\/#\/schema\/person\/image\/48c2407fddef3eae40eb98ba7fbb6b7f\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/7bd8dd6207a459854ac05f4b5f485740a283dc6b177385d99d4b9678020e6d62?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/7bd8dd6207a459854ac05f4b5f485740a283dc6b177385d99d4b9678020e6d62?s=96&d=mm&r=g\",\"caption\":\"Raju Suravarjjala, Senior Director, Quality Engineering, Couchbase\"},\"description\":\"Raju Suravarjjala is a Senior Director of Quality Engineering at Couchbase. 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