{"id":22175,"date":"2021-05-26T13:57:02","date_gmt":"2021-05-26T18:57:02","guid":{"rendered":"https:\/\/www.loadview-testing.com\/blog\/determinando-usuarios-simultaneos-da-web-analytics\/"},"modified":"2023-05-10T00:16:19","modified_gmt":"2023-05-10T05:16:19","slug":"determinando-usuarios-simultaneos-da-web-analytics","status":"publish","type":"post","link":"https:\/\/www.loadview-testing.com\/pt-br\/blog\/determinando-usuarios-simultaneos-da-web-analytics\/","title":{"rendered":"Determinando usu\u00e1rios simult\u00e2neos da Web Analytics"},"content":{"rendered":"[et_pb_section fb_built=”1″ admin_label=”section” _builder_version=”4.16″ custom_margin=”0px||||false|false” custom_padding=”0px||||false|false” global_colors_info=”{}”][et_pb_row admin_label=”remar” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text admin_label=”Text” _builder_version=”4.21.0″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]\n

O teste de carga nem sempre \u00e9 t\u00e3o simples quanto se pensa. Configurar e executar um teste de carga com base em informa\u00e7\u00f5es aned\u00f3ticas n\u00e3o \u00e9 o melhor m\u00e9todo. Fa\u00e7a a suposi\u00e7\u00e3o errada e voc\u00ea pode encontrar rapidamente o ponto de ruptura do seu aplicativo ou site,<\/a>involuntariamente derrubando-o.<\/p>\n

Hoje, a maioria das empresas muitas vezes utiliza ferramentas de an\u00e1lise de tr\u00e1fego para ajudar a tirar a adivinha\u00e7\u00e3o completamente da equa\u00e7\u00e3o. Para a maioria das empresas, o Google Analytics \u00e9 a ferramenta preferida. Ent\u00e3o, como exatamente voc\u00ea converte an\u00e1lises web em usu\u00e1rios simult\u00e2neos? Este artigo o levar\u00e1 ao processo de determinar um n\u00famero preciso de usu\u00e1rios simult\u00e2neos com base em suas ferramentas de an\u00e1lise web. Para este caso, usaremos o Google Analytics.<\/p>\n

\"\"<\/p>\n

Coleta de dados do usu\u00e1rio<\/h3>\n

As ferramentas de an\u00e1lise da Web podem fornecer uma variedade de pontos de dados, como o total de usu\u00e1rios (novos ou retornados), o n\u00famero total de sess\u00f5es, as visualiza\u00e7\u00f5es de p\u00e1gina, as<\/a> taxas de rejei\u00e7\u00e3o e muito mais. Al\u00e9m disso, voc\u00ea pode ajustar o prazo por hora, di\u00e1ria, semanal, mensal ou at\u00e9 mesmo inserir uma faixa personalizada. No caso do Google Analytics, essas m\u00e9tricas podem ser encontradas em um \u00fanico painel, chamado de Vis\u00e3o Geral do P\u00fablico.<\/p>\n

Tr\u00e1fego m\u00e9dio vs. Tr\u00e1fego de Pico<\/h3>\n

Antes de calcular o n\u00famero de usu\u00e1rios simult\u00e2neos, voc\u00ea desejar\u00e1 encontrar os hor\u00e1rios em que o tr\u00e1fego<\/a> de pico ocorre. Isso \u00e9 importante por algumas raz\u00f5es. O uso das m\u00e9tricas m\u00e9dias de tr\u00e1fego muitas vezes ser\u00e1 significativamente menor do que os hor\u00e1rios de pico. Sites e aplicativos normalmente t\u00eam hor\u00e1rios recorrentes durante o dia ou semana, quando o tr\u00e1fego atinge o pico. Para testar esse n\u00edvel de tr\u00e1fego, voc\u00ea precisa testar o tr\u00e1fego muito al\u00e9m das m\u00e9tricas m\u00e9dias de tr\u00e1fego.<\/p>\n

Configurar seus testes usando tr\u00e1fego normal ou m\u00e9dio n\u00e3o colocar\u00e1 o estresse<\/a> necess\u00e1rio em seu sistema para ver como ele responde a n\u00edveis de carga mais altos. Lembre-se, o teste de carga se prop\u00f5e a encontrar gargalos de desempenho em n\u00edveis de carga superiores ao normal. Se voc\u00ea n\u00e3o enfatizar seu site ou aplicativo corretamente, ou n\u00e3o empurrar seu site ou aplicativos al\u00e9m do tr\u00e1fego di\u00e1rio normal, os resultados<\/a> que voc\u00ea recebe de volta n\u00e3o fornecer\u00e3o dados sobre onde existem poss\u00edveis problemas. Se o seu site ou aplicativo de repente for bombardeado com altos n\u00edveis de tr\u00e1fego, al\u00e9m do que voc\u00ea testou, voc\u00ea corre o risco de seus sites e aplicativos encontrarem problemas de desempenho e afetarem a experi\u00eancia do usu\u00e1rio<\/a>, no pior momento poss\u00edvel. \u00c9 muito melhor adotar uma abordagem proativa e estar preparado para este cen\u00e1rio, em vez de ter que ser notificado de repente que seu site ou aplicativo caiu e agora voc\u00ea e sua equipe t\u00eam que correr por a\u00ed tentando colocar seus sistemas de volta ao mais r\u00e1pido poss\u00edvel.<\/p>\n

Em segundo lugar, voc\u00ea quer os dados mais realistas de volta do seu teste. Esses resultados ser\u00e3o, sem d\u00favida, usados para determinar se \u00e9 necess\u00e1rio infraestrutura e capacidade adicionais, ent\u00e3o, a fim de avaliar se seus sistemas podem ou n\u00e3o lidar com o tr\u00e1fego de pico, voc\u00ea vai querer conhec\u00ea-lo agora, para que voc\u00ea possa planejar e gerenciar melhor sua infraestrutura, n\u00e3o na estrada quando for tarde demais. E lembre-se que o n\u00famero de usu\u00e1rios simult\u00e2neos \u00e9 apenas um ponto de partida. Tenha sempre em mente seus objetivos de neg\u00f3cios individuais e SLAs<\/a> ao realizar testes de carga.<\/p>\n

C\u00e1lculo do n\u00famero de usu\u00e1rios simult\u00e2neos<\/h3>\n

Dentro da plataforma LoadView,<\/a> todas as vezes s\u00e3o definidas em minutos, por isso, ao analisar os dados de an\u00e1lise da Web, \u00e9 importante encontrar o n\u00famero m\u00e1ximo de visitas e a dura\u00e7\u00e3o m\u00e9dia da visita por uma hora. A f\u00f3rmula usada para determinar o n\u00famero de usu\u00e1rios simult\u00e2neos \u00e9 a seguinte:<\/p>\n

Usu\u00e1rios simult\u00e2neos = Visitas por hora de pico x dura\u00e7\u00e3o m\u00e9dia da visita (em minutos)\/60<\/strong><\/p>\n

Por exemplo, se suas visitas de pico por hora s\u00e3o de 200 visitantes e a dura\u00e7\u00e3o m\u00e9dia da visita \u00e9 de 6 minutos, o n\u00famero de usu\u00e1rios simult\u00e2neos que devem ser usados para criar 200 visitas por hora \u00e9 de 20 usu\u00e1rios simult\u00e2neos. Calcular o n\u00famero de usu\u00e1rios simult\u00e2neos \u00e9 um dos muitos fatores necess\u00e1rios para configurar adequadamente um teste de carga. O bom \u00e9 que o LoadView pode tirar a complexidade e se preocupar com os testes de carga. O LoadView faz o passo atrav\u00e9s do processo<\/a> e tira o inc\u00f4modo de ter que gerenciar injetores de carga ou m\u00e1quinas virtuais.<\/p>\n

Veja o LoadView em a\u00e7\u00e3o e<\/a> agende uma demonstra\u00e7\u00e3o ao vivo<\/a> com um de nossos engenheiros de desempenho. Ou tente voc\u00ea mesmo com nosso teste gratuito.<\/a> Voc\u00ea receber\u00e1 at\u00e9 5 testes de carga gratuitos para se inscrever!<\/p>\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]\n","protected":false},"excerpt":{"rendered":"

O teste de carga nem sempre \u00e9 t\u00e3o simples quanto se pensa. Configurar e executar um teste de carga com base em informa\u00e7\u00f5es aned\u00f3ticas n\u00e3o \u00e9 o melhor m\u00e9todo. Fa\u00e7a a suposi\u00e7\u00e3o errada e voc\u00ea pode encontrar rapidamente o ponto de ruptura do seu aplicativo ou site,involuntariamente derrubando-o. Hoje, a maioria das empresas muitas vezes […]<\/p>\n","protected":false},"author":5,"featured_media":22176,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[507],"tags":[518,519],"class_list":["post-22175","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-teste-de-desempenho","tag-teste-de-carga","tag-teste-de-usuario-simultaneo"],"yoast_head":"\nDeterminando usu\u00e1rios simult\u00e2neos da Web Analytics - LoadView<\/title>\n<meta name=\"description\" content=\"Quer converter an\u00e1lises web em usu\u00e1rios simult\u00e2neos para testes de carga? 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