Q! for Performance & Capacity Management

8/4/2019 Q! for Performance & Capacity Management

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Knowing the core. Smarter Decisions.

Q! for FinanceIT Capacity & Performance Management


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:A e m p re sa Q u a n tita

Nosso objetivo: dar aos nossos clientes toda a plataforma de

Solues Analticas em Tempo Real

para criarem empresas de latncia zero e otimizarem a experincia e retornode seus clientes e acionistas.

Misso: Executar anlises automticas que gerem benefcios econmicos!

reas clientes Marketing, Vendas, Finanas, Mercado de Capitais, Operaes, Controle,

Performance e Riscos Corporativos


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SistemasdeR

eportingeBusines

sIntelligence

Anlise

sautom

ticasc

ombaix

alatnc

iaDecises

emtemp

oreal

Complexidade da anlise

Importnciada automao

Solues Analticas

Performance

Corporativa

Vendas e

Marketing(multicanal)

Operaes e

controle

Mercado

Financeiro ede Capitais


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Q! for Marketing Dynamic Cross and Up-Selling Live Sales Forecast Scores and Propension Behavioral Targeting & Analytical CRM Web Analytics Competitive Intelligence

Q! for Finance Market Screening Financial BehavioralTargeting Algorithmic Trading Fraud detection Risk Management Collection Scoring

Q! for Business Corporate Performance Management Real Time Business Intelligence Business Predictive Modeling

Quantita Servios e Tecnologia


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! Q for Finance Mercado de Capitais

Desempenho requisito para a competio Estratgia do Negcio

Liderana no segmento Rapidez de aes e go-to-market Arbitragens e High Frequency Trading Maiores retornos Reteno e lealdade do cliente

Objetivos Construo de um ambiente e procedimentos analticos

utilizando a tecnologia Modelos de monitorao e determinao da capacidade

corrente dos recursos de TI Modelos de determinao da utilizao mxima dos

recursos de TI e drivers de performance;


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&Performance Capacity Management


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&Performance Capacity Analytics

Alinhamento dos requisitos denegcio

Gesto de nveis de

serviosde TI,previses (forecast) ealinhamento comrequisitos de negcio

Capacidade deServio de Negcio Capacidade deServio de TI Capacidade deComponente de TI

Performance atual dosServios de TI

- Gesto tcnica de equipe

especializada comconhecimento de todos osrecursos de TI

Desempenho de componentesda infraestrutura de TI

- Aes tomadas por equipes de

suporte e manuteno doambiente

Performance & Capacity Analytics-Anlise da influncia: relao da demanda por recursos computacionais e o uso

destes recursos-Application sizing: estimativas de recursos para suportar os nveis de serviosde cada aplicao-Modelagem: Previses do comportamento dos Serviosde TI dado um volumede trabalho. Principais tcnicas: anlise de tendncia, modelos analticos,simulaes


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Processo de Gesto (contnua) da Capacidade da BVMF foco na capacitao e acompanhamento da performance de TI Componentes de hardware: PCs, servidores de arquivos, de web, de banco de dados,

mainframes

Equipamentos de rede: LANs, WANs, bridges, routers

Perifricos: dispositivos de armazenamento, impressoras

Softwares: sistemas operacionais e sistemas de rede, pacotes de software internos ouadquiridos

BDC Banco de Dados de Capacidade

Capacidade deServio de

Negcio

Capacidade deServio de TI

Capacidade deComponente de

TI

BDC Banco deDados de Capacidade

Planode

Capacidade

Gesto da Demanda


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Potential to cause all the work to be scrapped

Huge negative consequences of performancefailure Damaged customer relations Loss of business Loss of credibility Cost of delay & additional resources Performance defect identified during

maintenance stage could cost 50 to 100 timesmore to fix as it would have cost during earlystage of development lifecycle.

! :Q for Finance os custos da baixa performance


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Process by which software is tested and tuned

with the intent of realizing the requiredperformance

Performance categories

Speed Scalability Stability

Performance engineering helps IN Increase revenue by ensuring optimum system performance

Optimize provisioning & utilization of infrastructure Improve availability by resolving performance & scalability Reduce maintenance costs Avoid system failure requiring scrapping & writing off development

effort Self impressive facts about the release

! :Q for Finance Engenharia de Performance


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Performance testing & sizing

Performance Regression Test, System Load testing, SystemBenchmarking

Performance tuning and optimization Optimal tuning guidelines for production setup JVM, Pool, logs,

App/Web server, DB, OS, etc.

Effectively applying skills, technologies and tools System diagnostics End to end profiling, recommendations for overall system

scalability

Capacity planning Determine expected production capacity, Facilitate capacity

management Performance Centric development Client side performance engineering

! :Q for Finance Servios de Engenharia dePerformance


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Performance Engineering Strategy


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Challenges in Performance Testing

Performance engineering awareness

Right tool selection Scripting expertise Physical/practical resource limitations on

number of human users

Appropriate Hardware setup Governing the behavior of simulated users

according to a set of policies Consistent, repeatable actions

Accurate measurement of response times Generation and comprehensive analysis of

results


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Features in an Ideal Load Test Tool

Support for popular protocols viz. Http, Https,

AJAX, WAP, SMTP etc Integrated resource monitoring Simple and intuitive User interfaces and wizards Easy to use parameterization features

Real time progress of the test runs Support for high concurrency of virtual users Sophisticated and comprehensive reporting and

analysis capabilities


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&Tools Utilities

Performance Testing , , , , , ,LoadRunner SandStorm Silk Performer Jmeter Grinder Webload,OpenSTA

Web Servers Apache IIS

Application Servers Apache Tomcat Jboss

WeblogicWebsphere

Databases Oracle MS SQL Server My SQL PostgreSQL

System Profiling , , , , ,HP Deep diagnostics Jprobe DynaTrace Jprofiler YourKit

InfraRed , ,GCViewer HttpSniffer


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Case I

Background Recognized market and thought leader in Workforce

management -Delivers Innovative solutions and solve complex workforce

.related issues

, + .30 million users per day in 30 000 hiring locations

+ :500 Fortune 1000 clients includes the largest consumer, , , ,goods automotive telecom customer service payroll

.services

Challenges %90 of customers use Applet version of the application

Support for load testing of the applets and java objects

Affordable proof of concepts for pre sales activities


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Accomplishments

Defined Performance testing strategy and process

Helped Client by setting up Test Lab with isolated(LAN Completely free from other corporate).network activity Setup included : . , / : , ,9 servers Dual 3 2 Ghz PentiuApp Web servers IIS Jboss, Weblogic Apache

: , & , & ,Database servers Oracle9 10 11 SQL server2005 2008

, ,m 4 2 GB RAM 500 GB HDD

+15 Agent machines for launching Virtual users

SandStorm support for load testing of applets andjava objects

Tested application with 5k concurrency levels Dedicated support for deployment and customization Improved customer satisfaction because of onsite

benchmarking


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Case 2

Background Leading telecommunication solutions and services provider Instant messaging solutions for mobile devices Innovative solutions for mobile and internet industry

Challenges

Load test product based on OMA IMPS mobile protocol Simulate concurrency of 25k online users

Documents

Q! for Performance & Capacity Management