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Domesticando dragoes com soluções escaláveis
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abstractj
February 02, 2012
Programming
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Domesticando dragoes com soluções escaláveis
abstractj
February 02, 2012
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Transcript
Domesticando Dragões com soluções escaláveis @abstractj @qmx Monday, September 13,
2010
O cliente pediu um sistema Monday, September 13, 2010
Envio de SMS pela intranet + aplicacao web pra ver
detalhes da mensagem Monday, September 13, 2010
A cláusula “O sistema deve fazer tudo” Caso de uso,
2004 Monday, September 13, 2010
Teu chefe Monday, September 13, 2010
Fácil! Monday, September 13, 2010
Negócio fechado Monday, September 13, 2010
SEU EMO!!!! Monday, September 13, 2010
Sistema em piloto 10.000 tx/h = quase 3 tx/s Monday,
September 13, 2010
Bonito e Performático Monday, September 13, 2010
Cliente satisfeito Monday, September 13, 2010
A volta dos que não foram Monday, September 13, 2010
A cláusula “O sistema deve fazer tudo” Caso de uso,
2004 Monday, September 13, 2010
“Integraçãozinha” Monday, September 13, 2010
O legado Monday, September 13, 2010
Moleza! Monday, September 13, 2010
Legado = Mainframe Monday, September 13, 2010
Ouch! Monday, September 13, 2010
Mainframe Monday, September 13, 2010
Não gosta dos seus dados Monday, September 13, 2010
Não quer trabalhar pra você Monday, September 13, 2010
Não espera, você espera Monday, September 13, 2010
te odeia Monday, September 13, 2010
Mainframe não escala Monday, September 13, 2010
Mainframe não escala? Monday, September 13, 2010
Motivos técnicos Monday, September 13, 2010
FUUUUUU Monday, September 13, 2010
#medo? Monday, September 13, 2010
Ainda bem Monday, September 13, 2010
Sobrou! Monday, September 13, 2010
Flat files? Monday, September 13, 2010
batchizando? Monday, September 13, 2010
Filas de Mensageria! Monday, September 13, 2010
Problema resolvido! 3 tx/s Monday, September 13, 2010
A cláusula “O sistema deve fazer tudo” Caso de uso,
2004 Monday, September 13, 2010
Projeto piloto 3 tx/s = Bom Monday, September 13, 2010
Realidade: 1.5M tx/dia = 17tx/s Monday, September 13, 2010
Estamos devendo: ± 1.25M tx Monday, September 13, 2010
"Compra de R$ 5000,00 realizada com sucesso em 10/09/2010 03:56"
12/09/2010 15:30 Monday, September 13, 2010
Murphy: se você corria risco de fraude, ela aconteceu com
certeza Monday, September 13, 2010
Realidade? Monday, September 13, 2010
Pico de 200tx/s na hora do almoço Monday, September 13,
2010
E agora? Monday, September 13, 2010
Onde foi que eu errei? Monday, September 13, 2010
Você é culpado Monday, September 13, 2010
Na média, o ser humano tem uma bola Monday, September
13, 2010
Você perguntou pro seu cliente quais eram os horários de
pico?! Monday, September 13, 2010
Sua obrigação era medir!!! Monday, September 13, 2010
Sua aplicação escala?! Monday, September 13, 2010
Você vai até onde na vertical?! Monday, September 13, 2010
E na horizontal?! Monday, September 13, 2010
Você não está esquecendo de nada? Monday, September 13, 2010
Visualizar os detalhes da mensagem Monday, September 13, 2010
Ruby é lento? Monday, September 13, 2010
A culpa é de quem? Monday, September 13, 2010
Banco de dados? Monday, September 13, 2010
Massa de dados grande Monday, September 13, 2010
1.500.000 x 30 dias Monday, September 13, 2010
Em um mês 45 milhões de registros Monday, September 13,
2010
preciso guardar tudo isso? Monday, September 13, 2010
relacional pra quê? Monday, September 13, 2010
Cache? Monday, September 13, 2010
#fail Monday, September 13, 2010
Cache persistente? Monday, September 13, 2010
Redis key-value store on steroids Monday, September 13, 2010
O melhor dos dois mundos Monday, September 13, 2010
Dados bem guardados com SQL e com NoSQL Monday, September
13, 2010
Pesquisa direta no “banco de dados” 20tx/s Monday, September 13,
2010
Pesquisa passando pelo Redis: 200 tx/s Monday, September 13, 2010
Seus problemas acabaram! Monday, September 13, 2010
Obrigado! Monday, September 13, 2010