Bringing Reactive to Enterprise Java Developers

Transcript

1. Bring Reactive to
   Enterprise Java Developers
   Julien Ponge, PhD
   Principal Software Engineer
   @jponge julien.ponge@redhat.com
   1
   

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3. Responsiveness
   MessageS
   Resilience
   Back-Pressure
   Streams
   System
   Manifesto
   Asynchrony
   Elasticity
   Data Flows
   Programming
   eXtensions
   Spreadsheets
   Events
   RX Java Reactor
   Spring
   Actor
   Fibers Non-Blocking MicroProfile
   REACTIVE ALL THE THING!
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4. 4
   REACTIVE SOFTWARE - A DEFINITION
   reactive | rēˈaktiv |
   adjective
   showing a response to a stimulus: pupils are reactive to light.
   • acting in response to a situation rather than creating or controlling it: a proactive
   rather than a reactive approach.
   • having a tendency to react chemically: nitrogen dioxide is a highly reactive gas.
   • Software - code reacting to stimuli such as user inputs, messages and failures
   

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5. 5
   REACTIVE SOFTWARE - A DEFINITION
   reactive | rēˈaktiv |
   adjective
   showing a response to a stimulus: pupils are reactive to light.
   • acting in response to a situation rather than creating or controlling it: a proactive
   rather than a reactive approach.
   • having a tendency to react chemically: nitrogen dioxide is a highly reactive gas.
   • Software - code reacting to stimuli such as user inputs, messages and failures
   Remain responsive under all conditions: load + failures
   

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6. 6
   ASYNCHRONOUS ALL THE THINGS!
   Events
   Messages
   Failures
   JVM Async toolkit
   Modern Distributed
   Systems
   

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8. -50%
   MICHELIN50
   8
   

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9. VERT.X DEMO
   (data streaming)
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10. 10
    GATE
    

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11. LET’S TALK “EE”
    11
    Eclipse MicroProfile
    Eclipse JakartaEE
    

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12. 12
    FROM JAVA EE TO JAKARTA EE
    ‘14
    Java EE 8
    ‘17
    ‘13
    Java EE 7
    ‘07
    JAX-RS
    ‘09
    CDI
    (Java EE 6)
    Microservices
    Docker
    Kubernetes
    Reactive
    manifesto
    ‘12
    Vert.x
    Node.js
    MVC 1.0
    ‘11
    Kafka Serverless
    

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13. 13
    JAVA EE - A FOOT IN THE PAST
    CRUD
    DATABASE
    DEVELOPMENT
    MODEL
    CDI
    JAX-RS
    EJB
    EXECUTION
    MODEL
    SERVLETS
    1 THREAD PER
    REQUESTS
    TYPICAL
    USE CASE
    Cloud-friendLY REACTIVE
    

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14. 14
    INTRODUCING REACTIVE TO EE
    Without breaking everything…
    Vert.x
    Ecosystem
    Reactive Streams Operators
    Reactive Messaging
    Concurrency
    

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15. 15
    REACTIVE AT MICROPROFILE
    Reactive Streams
    Operators
    Add reactive to other specs
    (Rest client, Fault Tolerance…)
    REACTIVE
    MESSAGING
    Creates, Manipulates and consumes
    reactive streams
    return ReactiveStreams
    .of("h", "e", "l", "l", “a")
    .map(s -> s.toUpperCase())
    .distinct()
    .build();
    }
    

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16. CONNECTED RABBIT DEMO
    * no rabbits were harmed in the making of this.
    

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17. 17
    RestEasy, server-sent events and reactive streams
    STEP #1
    Server
    

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18. 18
    MicroProfile Reactive Messaging
    STEP #2
    Server
    State HEALTH
    HEARTBEAT
    

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19. 19
    MicroProfile Reactive Streams Operators
    STEP #3
    Server
    State
    HEALTH HEARTBEAT
    SNAPSHOT SERVICE
    HTTP
    HTTP
    

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20. 20
    Introducing connectors
    STEP #4
    Server
    State
    HEALTH
    HEARTBEAT
    SNAPSHOT SERVICE
    HTTP
    HTTP
    MQTT
    

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21. PROCESSING
    LEAPS
    21
    Event-Driven Microservices
    STEP #5
    State
    HEALTH
    HEARTBEAT
    SNAPSHOT
    SERVICE
    HTTP
    HTTP
    MQTT
    GATEWAY
    KAFKA
    SSE
    TEmperature
    

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23. -50%
    MICHELIN50
    23
    

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24. plus.google.com/+RedHat
    linkedin.com/company/red-hat
    youtube.com/user/RedHatVideos
    facebook.com/redhatinc
    twitter.com/RedHat
    Q&A
    24
    

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