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Desmistificando tecnologias
Juliano Marcos Martins – juliano.jmm@gmail.com
http://jmmwrite.wordpress.com
2
Objetivo
Apresentar tecnologias e meios de forma objetiva e simples,
enriquecendo a bagagem de conhecimento dos presentes.
Agregar conhecimento que permita capitalizar.
3
Disclaimmer
Esta apresentação NÃO FOI cuidadosamente revisada e por
isso não esta livre de erros.
Toda critica será muito bem aceita ;)
As opiniões apresentadas durante a palestra são de minha
responsabilidade e não tem relação com as
empresas/Instituições nas quais trabalhei/trabalho ou tive
qualquer tipo de relacionamento.
4
Agenda
Eu
Desmistificando Tecnologias
DevOps
BigData
IoT
Desenvolvimento Mobile
TroubleShooting e Performance
Open Source
Mercado de Trabalho
Perfil do Profissional
Q & A
5
Eu
1999 –
Estagiário
professor
2000 -
Estagiário
Programador
2003 -
Programador
Única
2004 –
Analista de I.
2005 –
IT Specialist
2008
Lab DB2
2011
Arquiteto
2007
Arquiteto
2014
IT Spec
2005
2015
Professor
Profissional
6
Projeto Atual
PMP – Professional Market Place
Big Data
SSD App
6 BC-H with 72 data blades, 2 admin, 1
mgmt blade + 1 Cisco 6509 switches
D5100
6 Data modules, 1 admin, 1 mgmt, 1
RSM, 2 standby + 3 SMC switches + 4
san switches
Raw Data 6 TB 6 TB
CPU 77 Intel Core i7 940 (308
cores)
11 Intel E5450 (44 cores)
Memory 576 GB 192 GB
Total disk cap 10.8 TB 13.2 TB
Raw storage cap 22.8 TB 21 TB
MB/s 84 + GB/s 7.8 GB/s
IOPs 4,320,000+ 48,000+
Network 72 x 1G Ethernet (FCM)
+72 x 1G replication + corp +
backup
12 x 1G Ethernet (FCM)
+ (12 FC/G Eth for backups)
SAN N/A 4 Gbps SAN infras.
Power 21,606 Watts* 12,930 Watts*
Footprint 69U 48U†
7
Sweet Child o'mine
8
Big Data
“Data is a new Class of economic asset, like
currency or gold.” Davos, Suiça, 2012 – World
Economic Summit
9
Intro
Tecnologia + Metodologia para → Capturar, Armazenar e Analisar
grandes volumes de dados
Volume, Velocidade e Variedade (+ veracidade e valor)
Finalidade: dar subsidios para tomadas de decisão
Temos muitos dados, pouca informação
10
Intro
Análise de sentimento com dados da Web e sociais
Departamentos de marketing usam feeds do Twitter para
realizar análise de sentimento e determinar o que os usuários
estão falando sobre a empresa e seus produtos ou serviços,
especialmente após o lançamento de um novo produto ou
release.
O sentimento do cliente deve ser integrado aos dados de
perfil do cliente para derivar resultados significativos. O
feedback do cliente pode variar de acordo com seus
aspectos demográficos.
Fraudes em plano de saúde, abertura de contas
O case Abertura de conta
11
SciCrop
12
METODOLOGIA
Identificação Coleta
Algoritmo
pré
determinado
Resposta
Identificação Coleta Algoritmo Resposta
VARIÁVEL
INCERTA
CRESCENTE
RÁPIDA
TERABYTES
? ? Se não responder
rápido, nem adianta
responder.
ISSO É BIGDATA!
IDENTIFICAÇÃO, PREDIÇÃO E RECOMENDAÇÃO
O que acontece
quando os
problemas variam
seus padrões em
condições incertas?
Resolução de problemas determinísticos.
FORECASTING
&
NOWCASTING
13
ONDE,OQUÊ,QUANDO?
Dados Estruturados
Dados Não
Estruturados
Armaz.Distribuído
Machine Learning, Data Mining
Classificação: SVM,
Naive-Bayes, logistic regression,
K-nearest
Regressão: Linear (lasso,
ridge), polinomial, etc
Clustering: K-means,
Spectral clustering, etc
Redução Dimensional:
Isomap, kernel aprox, PCA,
singular value decomposition
Árvores de Decisão
Random Forests
Análise de
Associação: Apriori, FP-
growth
Modelo Escondido de
Markov
Não supervisionados Supervisionados
ContínuoCategórico
ETL¹/MR²
DADOS ANÁLISE
1. ETL: Extract, Transform and Load
2. MR: Map Reduce
Data WareHouse,
Sistemas Legados, Main
Frame
Dispositivos, SMS,
Redes Sociais, Áudio,
Vídeo, Geo, Logs
DATA VISUALIZATION - SEARCH
Copiado livremente da Apresentação de José Damico – FEMA – Set, 2015
14
Tecnologias
Datasources: Facebook, Twitter, Blogs, Aplicações, bancos,
Devices (IoT), etc...
Banco de dados NoSQL (Not only Structured Query Language) –
MongoDB, Cassandra, Hbase
Processamento distribuido: Apache Hadoop/HDFS, Hive, Impala,
Pig
Análise: R, Pentaho, Python
Recursos na nuvem (sob demanda elástico)
Solr
15
O Profissional
O profissional big data (Data Scientist) deve ser multidisciplinar
(matemática, estatística, modelagem, reconhecimento de padrões,
IA, DW, ETL, High Performance Computation, etc).
16
DevOps
17
What is?
DevOps is a software development method that stresses
collaboration between Software Developers (Development) and
Information Technology professionals (Operations).
DevOps brings together Development and Operations to
Improve collaborations and productivity
Automate InfraStructure/Workflows
Measure app performance / code testing
18
Meu slide resumo
ALM - Rational Team Concert, Microsoft Team Foundation, Jira
Versionamento/SCM: Git, SVN, CVS
Jenkins, Hudson, LuntBuild – CI – Integração continua
BugZilla
Jmeter, FindBugs, PMP, CheckStyle, Estilo de codificação.
SOAP UI
Linux / Windows – Ambiente do Cliente (versões)
Instrumentalizar – criar ferramentas
Geradores – Trabalho repetitivo
19
History of Development and Operations
SoftwareSoftware
AdminAdmin
 In the beginning, Development and Operations were
typically performed by the same person.
 As time went on, that changed, and Development and
Operations separated.
20
Solution production: The Legacy Model
In this model, Development
and Operations are separate,
and do not interact until the
end of the process.
In this model, Development
and Operations are separate,
and do not interact until the
end of the process.
21
Pre-DevOps processes
 Operations First:
» Charter / Fund: 2 weeks to 3 months
» Acquire Infrastructure (CAPEX): 6 weeks to 6 months
» Integrate Infrastructure (OPEX): 4 weeks to 8 weeks
» Dry runs, validation, acceptance testing (OPEX): 2 weeks to 4 weeks
 Development Second:
» Workstation  SCM
» SCM  Dev
» Dev  Test
» Test  Stage, Prod
 Issues:
» Patch Level / Security
» Demand, Scale to Max Peak
» Release schedules per Quarter / Year
» Governance Process alignment
» Consistency, Speed, Reliability
A new project can take between 6 and 18 months
before release 1.0 is in production!
A new project can take between 6 and 18 months
before release 1.0 is in production!
22
Issues with the Legacy Model
 Your customers find major defects.
» Major defects take a long time to fix.
 You cannot do anything until you have everything.
» Legacy model leads to unique infrastructure dependencies.
 People do not talk to each other.
» This leads to broken processes and overbearing governance.
 Even if you are “agile,” the delivery process is still broken.
» Going live still takes as long as ever.
 Any problems lead to finger pointing.
» Development and Operations are not able to operate as one team.
23 Introduction to DevOps: Overview
The Application Deployment Model Must Change
DevOps change is as much a culture change as it
is a technology change.
DevOps change is as much a culture change as it
is a technology change.
24 Introduction to DevOps: Overview
Solution production: The DevOps Model – who is involved?
Business function owners,
developers, and operations all are
involved early on in the process.
Business function owners,
developers, and operations all are
involved early on in the process.
25 Introduction to DevOps: Overview
Solution production: The DevOps Model – swimlane view
The DevOps software
delivery process
introduces
transparency and
culture change.
The DevOps software
delivery process
introduces
transparency and
culture change.
26
Where will you typically see DevOps solutions?
 DevOps Solutions are commonly found in:
» Web sites (mobile, desktop)
» Mobile apps using backends as a server component for information resources
» Mobile application front-end development
 DevOps solution are not found as commonly in:
» Typical packaged / platform-based services (BI Systems, ERP systems)
» Back-end Systems (ETL Systems, Systems of Record data sources)
DevOps lends itself to situations requiring rapid
changes in response to functionality and scale.
DevOps lends itself to situations requiring rapid
changes in response to functionality and scale.
27
Key DevOps attributes
 Startups, quick initiatives, exploring / prototyping:
» More systems of engagement involved
» Mobile on the front-end
 MBaaS middleware to API catalog
 Back end APIs or “mashable” APIs are used
 Common unit of deployment (Operations) allows for:
» Scalability(demand management)
» Movement
» Recovery
» Feature deployment
 Scripting / automation is critical
28 Introduction to DevOps: Overview
Post-DevOps implementation
 Infrastructure is more consistent and predictable.
 Build / deploy processes are typically done outside of the
bastion of enterprise.
DevelopmentDevelopment OperationsOperations
QAQA
Frequent
Builds
Frequent
Builds
Automated
Builds
Automated
Builds
Known Deploy UnitsKnown Deploy Units Known
Accounting
Known
Accounting
Fast Setup
& Teardown
Fast Setup
& Teardown
Automated
Monitoring
Automated
Monitoring
Consistent
Scripts
Consistent
Scripts
Peer Code ReviewsPeer Code Reviews
Automated
Tests
Automated
Tests
 Provisioning is fast.
 On-demand provisioning is both good and bad at the
same time, from a financial standpoint.
29 Introduction to DevOps: Overview
Sample DevOps maturity model
Define release with business
objectives
Measure to customer value
Define release with business
objectives
Measure to customer value
Optimize applications
Use enterprise issue
resolution procedures
Optimize applications
Use enterprise issue
resolution procedures
Fully Achieved Initiative GoalsPartially Achieved
Centralize requirements
management
Measure to project metrics
Centralize requirements
management
Measure to project metrics
Document objectives locally
Manage department
resources
Document objectives locally
Manage department
resources
Manage lifecycle artifacts
Schedule SCM integrations
and automated builds
Test following construction
Manage lifecycle artifacts
Schedule SCM integrations
and automated builds
Test following construction
Plan and manage releases
Standardize deployments
Plan and manage releases
Standardize deployments
Monitor resources
consistently
Collaborate DevOps informally
Monitor resources
consistently
Collaborate DevOps informally
Plan and source strategically
Dashboard portfolio
measures
Plan and source strategically
Dashboard portfolio
measures
Link lifecycle information
Deliver and build with test
Centralize and automate test
management
Link lifecycle information
Deliver and build with test
Centralize and automate test
management
Monitor using business and
end user context
Centralize event notification
and incident resolution
Monitor using business and
end user context
Centralize event notification
and incident resolution
Automate problem isolation
and issue resolution
Optimize to customer KPIs
continuously
Automate problem isolation
and issue resolution
Optimize to customer KPIs
continuously
Improve continuously with
development intelligence
Test continuously
Improve continuously with
development intelligence
Test continuously
Manage environments through
automation
Provide self-service build,
provision, and deploy
Manage environments through
automation
Provide self-service build,
provision, and deploy
Manage data and virtualize
services for test
Deliver and integrate
continuously
Manage data and virtualize
services for test
Deliver and integrate
continuously
Standardize and automate
cross-enterprise
Automate patterns-based
provision and deploy
Standardize and automate
cross-enterprise
Automate patterns-based
provision and deploy
Plan departmental releases
and automate status
Automated deployment with
standard topologies
Plan departmental releases
and automate status
Automated deployment with
standard topologies
30 Introduction to DevOps: Overview
Example IBM deployment tooling
Line of
Business
IBM UrbanCode Build
Rational Team Concert
Rational Quality Manager
Rational Test Workbench
Rational Test Virtualization Server
SmartCloud Application Performance Management
Rational Focal Point
Rational Requirements Composer
SmartCloud Orchestrator
IBM Pure Application System
IBM UrbanCode Deploy
IBM UrbanCode Release
31
 DevOps aligns Operations and Development, stressing collaboration between the two areas.
 DevOps is a pattern, not necessarily a product.
 DevOps is as much about processes, culture, and tools, as it is about a methodology.
 Think on how you can impact your customer’s business by helping them:
» Accelerate
» Fail fast (and recover!)
» Transform the business
» Meet business goals and objectives
DevOps - Summary
32
IoT
33
34
Intro
Prototipação
Sensoriamento
Interligação
Novas idéias
O céu é o limite!
35
Performance & Tunning
36
Intro
Profissionais não se preparam antes que o problema aconteca
SQL
Indices
Where
Limite
Select com FOR READ
Threads
Paralelismo
37
Exemplo simples
SELECT * FROM TABELA;
SELECT * FROM TABELA FETCH FIRST 10 ROWS ONLY
FOR READ ONLY WITH UR; (where? where? where?)
FETCH FIRST 10 ROWS ONLY -> quer dizer que é pra trazer
somente as 10 primeiras linhas encontradas
FOR READ -> fala pro banco que esta trazendo dados
somente para LEITURA, de forma superficial, quando você
não usa isso, o banco deixa CURSORES posicionados na
posição dos registros que você trouxe, ja preparando pra um
update/delete – isso, consome recursos.
WITH UR -> quer dizer “with uncommited records”, ou seja, já
traz os dados mais atualizados do banco, que sofreram um
update, mesmo não tendo sofrido commit ainda.
38
Troubleshooting
39
Intro
Erros e problemas comuns
Exemplo Softwares legados que param de funcionar
Falta de planejamento
Ler Logs
Reproduzir comportamentos
40
Open Source
41
Intro
Open Source Drives the world!
Linux
Microsoft Initiatives
The Apache Foundation
Open Source != Free Software
42
Mobile Development
43
IOs
IPhone, Ipad
App Store
http://www.apple.com
Google Android
80% of the market
Google Play
https://www.android.com/
Windows Phone, Ubuntu, Tizen, BlackBerry, etc...
NATIVE
44
Hybrid Mobile App
Angular + Cordova (IONIC)
Appcelerator + Titanium IDE
Xamarin
Python + Kivy
45
Tecnologies
HTML
CSS
JavaScript
Json
Angular
BootStrap
46
Hybrid Mobile App
Built with HTML, CSS and JavaScript and is contained in a
native wrapper so that it can be installed on a mobile device.
This allows web developers to build mobile apps without
having to learn the native programming languages (e.g.,
Objective-C, Swift, Java).
It also means that you can have one codebase for all the
different platforms.
Frameworks...
Attention Points:
Maybe you can loose some native functions that use
specific OS/Hardware resources.
Maybe the performance can be lower than the native
development.
47
Hybrid PROS
1- Easy to learn and Develop
2- Fast to create a prototype
3- Easy to find workforce
4- Easy to create a beautiful app
5- No need to learn native technology
6- Its faster to develop than Native (supposing that you are
good in both technologies)
7- Write once! (keep in mind that there are differences from
Platforms)
48
Hybrid CONS
1- Performance can be lower (supposing that you are expert in
Native and Hybrid)
2- You can loose native functions specific for a OS/Device
49
When go Native or Hybrid*
IF ( NEED HIGH PERFORMANCE or
NEED A LOT NATIVE RESOURCES or
NEED A NATIVE RESOURCE NOT SUPPORTED) {
goNative();
} ELSE {
goHibrid();
}
* this is what I THINK. Please, research before start your project. Many fail because
there are no planning, just code write.
50
Adobe buy NitobeNitobe PhoneGap
Open Source
2009 2011
Adobe PhoneGap
Apache Cordova
51
Apache Cordova
Apache Cordova is a platform
for building native mobile
applications using HTML, CSS
and JavaScript.
http://cordova.apache.org/
●Amazon Fire OS
●Android
●BlackBerry 10
●Firefox OS
●iOS
●Ubuntu
●Windows Phone 8
●Windows
●Tizen
52
PhoneGap
PhoneGap is Adobe’s productized
version and ecosystem on top of
Cordova.
http://phonegap.com/
53
IONIC
Free and open source, Ionic offers a
library of mobile-optimized HTML,
CSS and JS components, gestures,
and tools for building highly
interactive apps. Built with Sass and
optimized for AngularJS.
http://ionicframework.com
54
Installation
● Install Git - https://git-scm.com/
● Install Node Package Manager (npm) - https://nodejs.org/
● Install Cordova/Ionic - npm install -g cordova ionic
● Install Android SDK - http://developer.android.com/sdk/index.html
Create Environment Variable ANDROID_HOME , Example:
ANDROID_HOME=/home/julianom/Android/Sdk
● Install Java JDK 7
Create Environment Variable JAVA_HOME , Example (Linux):
JAVA_HOME=/opt/java
● Its a good idea put at your Path:
$JAVA_HOME/bin and $ANDROID_HOME/tools, Example (Linux):
PATH=$JAVA_HOME/bin:$ANDROID_HOME/tools:$PATH
● Install Genymotion (to emulate Android) - https://www.genymotion.com/#!/
● Create a virtual device at Genymotion and test it. I recommend a not powerful
device, like a Galaxy S3.
● Install a good Editor, I recommend Brackets (Its free) - http://brackets.io/
●
Create a user at Git Hub - https://github.com/
Take note about the users that you will create, you will use along the course.
55
Hands on IONIC
●ionic start myApp tabs
●cd myApp
●ionic serve
●ionic serve --lab
56
Hands on IONIC
ionic platform list → list available platforms
Android
●ionic platform add android
●ionic emulate android
or
●ionic run android
IOs
●ionic platform add ios
●ionic emulate ios
or
●ionic run ios
57
Testing
Android
● We recommend test with Genymotion, by running the command “ionic run android”. Also,
if you plug your Android phone at your computer, the run command should install it at your
device.
IOs
● You can test in the simulator running “ioinic emulate ios”.
● You can open your project in at XCode by going to the folder platforms/PLATFORM of
your project, and run this as a normal XCode project. Also, you can publish your app from
here.
● Any time that you change content inside www folder, run the command “cordova prepare
ios” in order to update the XCode project. Have in mind that this will overwrite any change
that you have done at XCode.
● More about XCode/Cordova:
http://cordova.apache.org/docs/en/3.3.0/guide_platforms_ios_index.md.html
58
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(unless otherwise specified). Adobe, Google, Apple, Apache, and other are registered trademarks. Their respective logos and
icons are subject to international copyright laws.
Thank you …
… for your dedication and patience!

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Desmistificando Tecnologias

  • 1. Desmistificando tecnologias Juliano Marcos Martins – juliano.jmm@gmail.com http://jmmwrite.wordpress.com
  • 2. 2 Objetivo Apresentar tecnologias e meios de forma objetiva e simples, enriquecendo a bagagem de conhecimento dos presentes. Agregar conhecimento que permita capitalizar.
  • 3. 3 Disclaimmer Esta apresentação NÃO FOI cuidadosamente revisada e por isso não esta livre de erros. Toda critica será muito bem aceita ;) As opiniões apresentadas durante a palestra são de minha responsabilidade e não tem relação com as empresas/Instituições nas quais trabalhei/trabalho ou tive qualquer tipo de relacionamento.
  • 4. 4 Agenda Eu Desmistificando Tecnologias DevOps BigData IoT Desenvolvimento Mobile TroubleShooting e Performance Open Source Mercado de Trabalho Perfil do Profissional Q & A
  • 5. 5 Eu 1999 – Estagiário professor 2000 - Estagiário Programador 2003 - Programador Única 2004 – Analista de I. 2005 – IT Specialist 2008 Lab DB2 2011 Arquiteto 2007 Arquiteto 2014 IT Spec 2005 2015 Professor Profissional
  • 6. 6 Projeto Atual PMP – Professional Market Place Big Data SSD App 6 BC-H with 72 data blades, 2 admin, 1 mgmt blade + 1 Cisco 6509 switches D5100 6 Data modules, 1 admin, 1 mgmt, 1 RSM, 2 standby + 3 SMC switches + 4 san switches Raw Data 6 TB 6 TB CPU 77 Intel Core i7 940 (308 cores) 11 Intel E5450 (44 cores) Memory 576 GB 192 GB Total disk cap 10.8 TB 13.2 TB Raw storage cap 22.8 TB 21 TB MB/s 84 + GB/s 7.8 GB/s IOPs 4,320,000+ 48,000+ Network 72 x 1G Ethernet (FCM) +72 x 1G replication + corp + backup 12 x 1G Ethernet (FCM) + (12 FC/G Eth for backups) SAN N/A 4 Gbps SAN infras. Power 21,606 Watts* 12,930 Watts* Footprint 69U 48U†
  • 8. 8 Big Data “Data is a new Class of economic asset, like currency or gold.” Davos, Suiça, 2012 – World Economic Summit
  • 9. 9 Intro Tecnologia + Metodologia para → Capturar, Armazenar e Analisar grandes volumes de dados Volume, Velocidade e Variedade (+ veracidade e valor) Finalidade: dar subsidios para tomadas de decisão Temos muitos dados, pouca informação
  • 10. 10 Intro Análise de sentimento com dados da Web e sociais Departamentos de marketing usam feeds do Twitter para realizar análise de sentimento e determinar o que os usuários estão falando sobre a empresa e seus produtos ou serviços, especialmente após o lançamento de um novo produto ou release. O sentimento do cliente deve ser integrado aos dados de perfil do cliente para derivar resultados significativos. O feedback do cliente pode variar de acordo com seus aspectos demográficos. Fraudes em plano de saúde, abertura de contas O case Abertura de conta
  • 12. 12 METODOLOGIA Identificação Coleta Algoritmo pré determinado Resposta Identificação Coleta Algoritmo Resposta VARIÁVEL INCERTA CRESCENTE RÁPIDA TERABYTES ? ? Se não responder rápido, nem adianta responder. ISSO É BIGDATA! IDENTIFICAÇÃO, PREDIÇÃO E RECOMENDAÇÃO O que acontece quando os problemas variam seus padrões em condições incertas? Resolução de problemas determinísticos. FORECASTING & NOWCASTING
  • 13. 13 ONDE,OQUÊ,QUANDO? Dados Estruturados Dados Não Estruturados Armaz.Distribuído Machine Learning, Data Mining Classificação: SVM, Naive-Bayes, logistic regression, K-nearest Regressão: Linear (lasso, ridge), polinomial, etc Clustering: K-means, Spectral clustering, etc Redução Dimensional: Isomap, kernel aprox, PCA, singular value decomposition Árvores de Decisão Random Forests Análise de Associação: Apriori, FP- growth Modelo Escondido de Markov Não supervisionados Supervisionados ContínuoCategórico ETL¹/MR² DADOS ANÁLISE 1. ETL: Extract, Transform and Load 2. MR: Map Reduce Data WareHouse, Sistemas Legados, Main Frame Dispositivos, SMS, Redes Sociais, Áudio, Vídeo, Geo, Logs DATA VISUALIZATION - SEARCH Copiado livremente da Apresentação de José Damico – FEMA – Set, 2015
  • 14. 14 Tecnologias Datasources: Facebook, Twitter, Blogs, Aplicações, bancos, Devices (IoT), etc... Banco de dados NoSQL (Not only Structured Query Language) – MongoDB, Cassandra, Hbase Processamento distribuido: Apache Hadoop/HDFS, Hive, Impala, Pig Análise: R, Pentaho, Python Recursos na nuvem (sob demanda elástico) Solr
  • 15. 15 O Profissional O profissional big data (Data Scientist) deve ser multidisciplinar (matemática, estatística, modelagem, reconhecimento de padrões, IA, DW, ETL, High Performance Computation, etc).
  • 17. 17 What is? DevOps is a software development method that stresses collaboration between Software Developers (Development) and Information Technology professionals (Operations). DevOps brings together Development and Operations to Improve collaborations and productivity Automate InfraStructure/Workflows Measure app performance / code testing
  • 18. 18 Meu slide resumo ALM - Rational Team Concert, Microsoft Team Foundation, Jira Versionamento/SCM: Git, SVN, CVS Jenkins, Hudson, LuntBuild – CI – Integração continua BugZilla Jmeter, FindBugs, PMP, CheckStyle, Estilo de codificação. SOAP UI Linux / Windows – Ambiente do Cliente (versões) Instrumentalizar – criar ferramentas Geradores – Trabalho repetitivo
  • 19. 19 History of Development and Operations SoftwareSoftware AdminAdmin  In the beginning, Development and Operations were typically performed by the same person.  As time went on, that changed, and Development and Operations separated.
  • 20. 20 Solution production: The Legacy Model In this model, Development and Operations are separate, and do not interact until the end of the process. In this model, Development and Operations are separate, and do not interact until the end of the process.
  • 21. 21 Pre-DevOps processes  Operations First: » Charter / Fund: 2 weeks to 3 months » Acquire Infrastructure (CAPEX): 6 weeks to 6 months » Integrate Infrastructure (OPEX): 4 weeks to 8 weeks » Dry runs, validation, acceptance testing (OPEX): 2 weeks to 4 weeks  Development Second: » Workstation  SCM » SCM  Dev » Dev  Test » Test  Stage, Prod  Issues: » Patch Level / Security » Demand, Scale to Max Peak » Release schedules per Quarter / Year » Governance Process alignment » Consistency, Speed, Reliability A new project can take between 6 and 18 months before release 1.0 is in production! A new project can take between 6 and 18 months before release 1.0 is in production!
  • 22. 22 Issues with the Legacy Model  Your customers find major defects. » Major defects take a long time to fix.  You cannot do anything until you have everything. » Legacy model leads to unique infrastructure dependencies.  People do not talk to each other. » This leads to broken processes and overbearing governance.  Even if you are “agile,” the delivery process is still broken. » Going live still takes as long as ever.  Any problems lead to finger pointing. » Development and Operations are not able to operate as one team.
  • 23. 23 Introduction to DevOps: Overview The Application Deployment Model Must Change DevOps change is as much a culture change as it is a technology change. DevOps change is as much a culture change as it is a technology change.
  • 24. 24 Introduction to DevOps: Overview Solution production: The DevOps Model – who is involved? Business function owners, developers, and operations all are involved early on in the process. Business function owners, developers, and operations all are involved early on in the process.
  • 25. 25 Introduction to DevOps: Overview Solution production: The DevOps Model – swimlane view The DevOps software delivery process introduces transparency and culture change. The DevOps software delivery process introduces transparency and culture change.
  • 26. 26 Where will you typically see DevOps solutions?  DevOps Solutions are commonly found in: » Web sites (mobile, desktop) » Mobile apps using backends as a server component for information resources » Mobile application front-end development  DevOps solution are not found as commonly in: » Typical packaged / platform-based services (BI Systems, ERP systems) » Back-end Systems (ETL Systems, Systems of Record data sources) DevOps lends itself to situations requiring rapid changes in response to functionality and scale. DevOps lends itself to situations requiring rapid changes in response to functionality and scale.
  • 27. 27 Key DevOps attributes  Startups, quick initiatives, exploring / prototyping: » More systems of engagement involved » Mobile on the front-end  MBaaS middleware to API catalog  Back end APIs or “mashable” APIs are used  Common unit of deployment (Operations) allows for: » Scalability(demand management) » Movement » Recovery » Feature deployment  Scripting / automation is critical
  • 28. 28 Introduction to DevOps: Overview Post-DevOps implementation  Infrastructure is more consistent and predictable.  Build / deploy processes are typically done outside of the bastion of enterprise. DevelopmentDevelopment OperationsOperations QAQA Frequent Builds Frequent Builds Automated Builds Automated Builds Known Deploy UnitsKnown Deploy Units Known Accounting Known Accounting Fast Setup & Teardown Fast Setup & Teardown Automated Monitoring Automated Monitoring Consistent Scripts Consistent Scripts Peer Code ReviewsPeer Code Reviews Automated Tests Automated Tests  Provisioning is fast.  On-demand provisioning is both good and bad at the same time, from a financial standpoint.
  • 29. 29 Introduction to DevOps: Overview Sample DevOps maturity model Define release with business objectives Measure to customer value Define release with business objectives Measure to customer value Optimize applications Use enterprise issue resolution procedures Optimize applications Use enterprise issue resolution procedures Fully Achieved Initiative GoalsPartially Achieved Centralize requirements management Measure to project metrics Centralize requirements management Measure to project metrics Document objectives locally Manage department resources Document objectives locally Manage department resources Manage lifecycle artifacts Schedule SCM integrations and automated builds Test following construction Manage lifecycle artifacts Schedule SCM integrations and automated builds Test following construction Plan and manage releases Standardize deployments Plan and manage releases Standardize deployments Monitor resources consistently Collaborate DevOps informally Monitor resources consistently Collaborate DevOps informally Plan and source strategically Dashboard portfolio measures Plan and source strategically Dashboard portfolio measures Link lifecycle information Deliver and build with test Centralize and automate test management Link lifecycle information Deliver and build with test Centralize and automate test management Monitor using business and end user context Centralize event notification and incident resolution Monitor using business and end user context Centralize event notification and incident resolution Automate problem isolation and issue resolution Optimize to customer KPIs continuously Automate problem isolation and issue resolution Optimize to customer KPIs continuously Improve continuously with development intelligence Test continuously Improve continuously with development intelligence Test continuously Manage environments through automation Provide self-service build, provision, and deploy Manage environments through automation Provide self-service build, provision, and deploy Manage data and virtualize services for test Deliver and integrate continuously Manage data and virtualize services for test Deliver and integrate continuously Standardize and automate cross-enterprise Automate patterns-based provision and deploy Standardize and automate cross-enterprise Automate patterns-based provision and deploy Plan departmental releases and automate status Automated deployment with standard topologies Plan departmental releases and automate status Automated deployment with standard topologies
  • 30. 30 Introduction to DevOps: Overview Example IBM deployment tooling Line of Business IBM UrbanCode Build Rational Team Concert Rational Quality Manager Rational Test Workbench Rational Test Virtualization Server SmartCloud Application Performance Management Rational Focal Point Rational Requirements Composer SmartCloud Orchestrator IBM Pure Application System IBM UrbanCode Deploy IBM UrbanCode Release
  • 31. 31  DevOps aligns Operations and Development, stressing collaboration between the two areas.  DevOps is a pattern, not necessarily a product.  DevOps is as much about processes, culture, and tools, as it is about a methodology.  Think on how you can impact your customer’s business by helping them: » Accelerate » Fail fast (and recover!) » Transform the business » Meet business goals and objectives DevOps - Summary
  • 33. 33
  • 36. 36 Intro Profissionais não se preparam antes que o problema aconteca SQL Indices Where Limite Select com FOR READ Threads Paralelismo
  • 37. 37 Exemplo simples SELECT * FROM TABELA; SELECT * FROM TABELA FETCH FIRST 10 ROWS ONLY FOR READ ONLY WITH UR; (where? where? where?) FETCH FIRST 10 ROWS ONLY -> quer dizer que é pra trazer somente as 10 primeiras linhas encontradas FOR READ -> fala pro banco que esta trazendo dados somente para LEITURA, de forma superficial, quando você não usa isso, o banco deixa CURSORES posicionados na posição dos registros que você trouxe, ja preparando pra um update/delete – isso, consome recursos. WITH UR -> quer dizer “with uncommited records”, ou seja, já traz os dados mais atualizados do banco, que sofreram um update, mesmo não tendo sofrido commit ainda.
  • 39. 39 Intro Erros e problemas comuns Exemplo Softwares legados que param de funcionar Falta de planejamento Ler Logs Reproduzir comportamentos
  • 41. 41 Intro Open Source Drives the world! Linux Microsoft Initiatives The Apache Foundation Open Source != Free Software
  • 43. 43 IOs IPhone, Ipad App Store http://www.apple.com Google Android 80% of the market Google Play https://www.android.com/ Windows Phone, Ubuntu, Tizen, BlackBerry, etc... NATIVE
  • 44. 44 Hybrid Mobile App Angular + Cordova (IONIC) Appcelerator + Titanium IDE Xamarin Python + Kivy
  • 46. 46 Hybrid Mobile App Built with HTML, CSS and JavaScript and is contained in a native wrapper so that it can be installed on a mobile device. This allows web developers to build mobile apps without having to learn the native programming languages (e.g., Objective-C, Swift, Java). It also means that you can have one codebase for all the different platforms. Frameworks... Attention Points: Maybe you can loose some native functions that use specific OS/Hardware resources. Maybe the performance can be lower than the native development.
  • 47. 47 Hybrid PROS 1- Easy to learn and Develop 2- Fast to create a prototype 3- Easy to find workforce 4- Easy to create a beautiful app 5- No need to learn native technology 6- Its faster to develop than Native (supposing that you are good in both technologies) 7- Write once! (keep in mind that there are differences from Platforms)
  • 48. 48 Hybrid CONS 1- Performance can be lower (supposing that you are expert in Native and Hybrid) 2- You can loose native functions specific for a OS/Device
  • 49. 49 When go Native or Hybrid* IF ( NEED HIGH PERFORMANCE or NEED A LOT NATIVE RESOURCES or NEED A NATIVE RESOURCE NOT SUPPORTED) { goNative(); } ELSE { goHibrid(); } * this is what I THINK. Please, research before start your project. Many fail because there are no planning, just code write.
  • 50. 50 Adobe buy NitobeNitobe PhoneGap Open Source 2009 2011 Adobe PhoneGap Apache Cordova
  • 51. 51 Apache Cordova Apache Cordova is a platform for building native mobile applications using HTML, CSS and JavaScript. http://cordova.apache.org/ ●Amazon Fire OS ●Android ●BlackBerry 10 ●Firefox OS ●iOS ●Ubuntu ●Windows Phone 8 ●Windows ●Tizen
  • 52. 52 PhoneGap PhoneGap is Adobe’s productized version and ecosystem on top of Cordova. http://phonegap.com/
  • 53. 53 IONIC Free and open source, Ionic offers a library of mobile-optimized HTML, CSS and JS components, gestures, and tools for building highly interactive apps. Built with Sass and optimized for AngularJS. http://ionicframework.com
  • 54. 54 Installation ● Install Git - https://git-scm.com/ ● Install Node Package Manager (npm) - https://nodejs.org/ ● Install Cordova/Ionic - npm install -g cordova ionic ● Install Android SDK - http://developer.android.com/sdk/index.html Create Environment Variable ANDROID_HOME , Example: ANDROID_HOME=/home/julianom/Android/Sdk ● Install Java JDK 7 Create Environment Variable JAVA_HOME , Example (Linux): JAVA_HOME=/opt/java ● Its a good idea put at your Path: $JAVA_HOME/bin and $ANDROID_HOME/tools, Example (Linux): PATH=$JAVA_HOME/bin:$ANDROID_HOME/tools:$PATH ● Install Genymotion (to emulate Android) - https://www.genymotion.com/#!/ ● Create a virtual device at Genymotion and test it. I recommend a not powerful device, like a Galaxy S3. ● Install a good Editor, I recommend Brackets (Its free) - http://brackets.io/ ● Create a user at Git Hub - https://github.com/ Take note about the users that you will create, you will use along the course.
  • 55. 55 Hands on IONIC ●ionic start myApp tabs ●cd myApp ●ionic serve ●ionic serve --lab
  • 56. 56 Hands on IONIC ionic platform list → list available platforms Android ●ionic platform add android ●ionic emulate android or ●ionic run android IOs ●ionic platform add ios ●ionic emulate ios or ●ionic run ios
  • 57. 57 Testing Android ● We recommend test with Genymotion, by running the command “ionic run android”. Also, if you plug your Android phone at your computer, the run command should install it at your device. IOs ● You can test in the simulator running “ioinic emulate ios”. ● You can open your project in at XCode by going to the folder platforms/PLATFORM of your project, and run this as a normal XCode project. Also, you can publish your app from here. ● Any time that you change content inside www folder, run the command “cordova prepare ios” in order to update the XCode project. Have in mind that this will overwrite any change that you have done at XCode. ● More about XCode/Cordova: http://cordova.apache.org/docs/en/3.3.0/guide_platforms_ios_index.md.html
  • 58. 58 All text and image content in this document is licensed under the Creative Commons Attribution-Share Alike 3.0 License (unless otherwise specified). Adobe, Google, Apple, Apache, and other are registered trademarks. Their respective logos and icons are subject to international copyright laws. Thank you … … for your dedication and patience!