Reactive programming no mundo Java

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Trilha Java TDC 2015: A programação reativa permite trazer desenvolvedores para um próximo nível no quesito concorrência no server-side, tornando as preocupações como thread-safety e sincronização mais fáceis de lidar. Nesta talk mostramos os pilares da programação reativa e quais as oportunidades que os desenvolvedores podem ter utilizando este paradigma, que fazem empresas de sucesso, como a Netflix, terem uma arquitetura excelente para o seu negócio.

Software

Felipe Mamud
@ftmamud
Raphael Almeida
@raphait
Reactive Programming
no mundo () -> “Java”

INTERNET USERS
2.4bi
2012
INTERNET USERS
3.01bi
TENS OF SERVERS
Fontes: http://recode.net/2014/05/28/meeker-as-internet-user-growth-slows-the-real-driver-is-mobile-usage/
http://www.slideshare.net/wearesocialsg/digital-social-mobile-in-2015
RESPONSE TIME
SECONDS
CLOUD-BASED CLUSTER
MULTICORE
OFFLINE
MAINTENANCE
REAL TIME
MILLISEC/MICROSEC
100%
UPTIME
FAST DATA
GIBABYTE DATA
BIGDATA
PETABYTES
2015

Como criamos sistemas mais robustos,
mais resilientes, mais flexíveis e
muito mais capazes de responder às
exigências de hoje em dia?

Precisamos de sistemas que irão:
● Reagir a eventos (Event-Driven)
● Reagir a carga (Scalable)
● Reagir a falhas (Resilient)
● Reagir a usuários (Responsive)

Reactive Programming
“Readily responsive to a stimulus”

O que são sistemas Reativos?
Sistemas criados como Reativos são muito mais
flexíveis, desacoplados e escaláveis. Isso os torna
mais fáceis de desenvolver e manter. São mais
tolerantes a falhas e quando elas ocorrem são
tratadas com elegância ao invés de desastre.
Sistemas Reativos são responsivos, dando aos
usuários feedbacks mais interativos.
Fonte: http://www.reactivemanifesto.org/pt-BR

Message-Driven
“Reactive Systems rely on asynchronous
message-passing”
Share Mutable
State
Immutability
Avoid Block
Asynchronous

Some t ls
● Actors
● Agents
● Future/Dataflow
● Reactive Extensions (Rx)

Elastic
“Capable of being easily expanded or
upgraded on demand”
Distribuited
systems
Availability
Scalability
Asynchronous

“Almost” no limit to scalability.
Shared Nothing
Assynchronous communication
Location Transparency
Loose Coupling

Resilience
“The ability of a substance or object to spring back into shape.”
“The capacity to recover quickly from difficulties.”
Failure recover
Manage failure
locally
Avoid cascading
failures
Isolate the
failure

Responsive
“Quick to respond or react appropriately”
Latency consistent
Batching
Back Pressure
Reactive Request

Java Reactive frameworks
Reactor
ReactiveX

THANK YOU!
FRIENDS TECHDAY
COMPARTILHAR, APRENDER E CONTRIBUIR!
Felipe Mamud
@ftmamud
Raphael Almeida
@raphait
We are a reactive family

In a world where software has become the key differentiator, enterprises are forced to transform the way they build, ship and run software in order to stay in the game. Competitive pressure requires applications to be rapidly and continuously upgraded with nonstop availability, and companies that lack the capacity to experiment, innovate and get new features out quickly, will be at disadvantage. This is driving many IT organisations to adopt the software design model known as microservices architecture, which quickly is gaining traction as a new way to think about structuring applications, and is changing the fundamentals of enterprise application management.

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The Developers Conference - São Paulo 2016 Talk: Erlang sem enrolação! O que faz o Whatsapp ter 2 milhões de conexões abertas em uma única máquina? Ou o Call of Duty ter 50k/s de requisições? Nesta talk mostrarei uma introdução avançada à linguagem Erlang falando, sem enrolação, sobre os primeiros passos para lidar com a linguagem ressaltando as suas principais características funcionais e também um pouco sobre a OTP. What does WhatsApp have 2 million open connections on a single machine? Or Call of Duty have 50k/s requests? This talk will show an advanced introduction to Erlang speaking without stalling on the first steps to deal with the language emphasizing its main functional features and also a little about the OTP. Exemplo / Example: https://gist.github.com/fmamud/ae4b7ad572abcac2fc3e6d3ca670f6a6

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Em tempos de Cloud Computing, Big Data e Mobile, desenvolver um software robusto, escalável e utilizando a tecnologia/plataforma correta de acordo com a necessidade está cada vez mais raro e complexo. Quais são realmente os valores que devemos aprender e utilizar? Será que a tecnologia X é melhor no contexto Y? Nesta palestra discutiremos como desenvolver um software levando em consideração tudo aquilo que precisa nos tempos atuais. Palestra realizada na universidade Anhanguera - Jornada de Informática em 09/11/2015

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Reactive programming no mundo Java

1. Felipe Mamud @ftmamud Raphael Almeida @raphait Reactive Programming no mundo () -> “Java”

2. Agradecimentos

4. INTERNET USERS 2.4bi 2012 INTERNET USERS 3.01bi TENS OF SERVERS Fontes: http://recode.net/2014/05/28/meeker-as-internet-user-growth-slows-the-real-driver-is-mobile-usage/ http://www.slideshare.net/wearesocialsg/digital-social-mobile-in-2015 RESPONSE TIME SECONDS CLOUD-BASED CLUSTER MULTICORE OFFLINE MAINTENANCE REAL TIME MILLISEC/MICROSEC 100% UPTIME FAST DATA GIBABYTE DATA BIGDATA PETABYTES 2015

5. Como criamos sistemas mais robustos, mais resilientes, mais flexíveis e muito mais capazes de responder às exigências de hoje em dia?

6. Precisamos de sistemas que irão: ● Reagir a eventos (Event-Driven) ● Reagir a carga (Scalable) ● Reagir a falhas (Resilient) ● Reagir a usuários (Responsive)

7. Reactive Programming “Readily responsive to a stimulus”

8. O que são sistemas Reativos? Sistemas criados como Reativos são muito mais flexíveis, desacoplados e escaláveis. Isso os torna mais fáceis de desenvolver e manter. São mais tolerantes a falhas e quando elas ocorrem são tratadas com elegância ao invés de desastre. Sistemas Reativos são responsivos, dando aos usuários feedbacks mais interativos. Fonte: http://www.reactivemanifesto.org/pt-BR

9. Reactive Manifesto

10. Message-Driven “Reactive Systems rely on asynchronous message-passing” Share Mutable State Immutability Avoid Block Asynchronous

11. Some t ls ● Actors ● Agents ● Future/Dataflow ● Reactive Extensions (Rx)

12. Elastic “Capable of being easily expanded or upgraded on demand” Distribuited systems Availability Scalability Asynchronous

13. “Almost” no limit to scalability. Shared Nothing Assynchronous communication Location Transparency Loose Coupling

14. Resilience “The ability of a substance or object to spring back into shape.” “The capacity to recover quickly from difficulties.” Failure recover Manage failure locally Avoid cascading failures Isolate the failure

15. Responsive “Quick to respond or react appropriately” Latency consistent Batching Back Pressure Reactive Request

16. Java Reactive frameworks Reactor ReactiveX

17.

18. Dúvidas?

19. THANK YOU! FRIENDS TECHDAY COMPARTILHAR, APRENDER E CONTRIBUIR! Felipe Mamud @ftmamud Raphael Almeida @raphait We are a reactive family

Reactive programming no mundo Java

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