Bringing Reactive to Enterprise Java Developers Julien Ponge, - - PowerPoint PPT Presentation

Bringing Reactive to Enterprise Java Developers

Julien Ponge, Thomas Segismont and Clement Escoffier Red Hat

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Hello!

We work on Eclipse Vert.x, a toolkit for writing asynchronous and reactive applications on the JVM

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(sal pu)

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Vert.x MicroProfile Jakarta EE

Introducing reactive to the EE world

...without breaking everything!

Times change quickly

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‘14

Java EE 8

‘17

From Java EE to Jakarta EE

‘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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Typical use-case

CRUD Database with ORM

Development model

CDI (injection) JAX-RS (REST API) JPA, Bean Validation, JTA, Management...

Execution model

Servlets 1 thread per request

Java EE: a feet in the past

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Not cloud-friendly, not reactive

Based on the concept of application server ➔ 1 server = many applications Does not fit the “cloud model” ➔ Small, lightweight applications ➔ Each service in its own process

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Not cloud-friendly, not reactive

Most of the model is synchronous except

• Asynchronous servlets
• CDI events

Also: ➔ No stream support ➔ No back-pressure

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A new hope?

MicroProfile - the rogue child ➔ A new set of specs ➔ Microservice-friendly ➔ Very iterative ➔ Reactive working group! Jakarta EE ➔ New spec model ➔ Faster processes ➔ Growing interest for reactive

Reactive and MicroProfile

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Traction from: Lightbend, Red Hat, Oracle, IBM

Reactive Microprofile specifications

Reactive Streams Operators Reactive Messaging Concurrency

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JAX-RS and reactive

S t r e a m d a t a a s S S E

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Reactive Messaging (and data streaming)

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Reactive Messaging (and data streaming)

M a n u e l , p r e a n d p

• s

t p r

• c

e s s i n g

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Reactive Stream Operators

C

• m

p

• s

e a n d t r a n s f

• r

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Demos*

* no rabbits were harmed in the making of this.

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Step #1

RestEasy, server-sent events and reactive streams Server {sleeping, awake, eating}

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Step #2

Introducing MicroProfile Reactive Messaging HealthDataBean (temperature, heartbeat, pressure) Neo (sleeping, awake, eating) Processor state Health data Heartbeat

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Step #3

Introducing MicroProfile Reactive Streams Operators HealthDataBean (temperature, heartbeat, pressure) Processor Health data Heartbeat HTTP Client (Vert.x) Snapshot service (latest data) Health data Health data 1 2

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Step #4

Health data comes from MQTT Processor Health data Heartbeat HTTP Client (Vert.x) Snapshot service (latest data) Health data Health data 1 2 MQTT

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Step #5

Event-driven and asynchronous microservices MQTT Kafka Collector service Snapshot service Web application Health data Events split by topic SSE HTTP Events

Before we wrap up...

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JAX-RS

Vert.x CDI (Weld) RestEasy

Reactive Messaging

Vert.x-powered MQTT Apache Kafka Apache Camel AMQP 1.0

Reactive Stream Ops

Vert.x + RxJava2

SmallRye

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Roadmap

• MicroProfile Reactive Stream Operators

○ Approaching 1.0 ○ Starting to infuse in the other MicroProfile specifications ○ Integration in the next MicroProfile release (February 2019)

• MicroProfile Reactive Messaging

○ Data streaming and Event-driven microservice ○ Integration in the next MicroProfile release (February 2019)

• MicroProfile Concurrency

○ Async context propagation

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(sal pu #2)

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Q&A

@jponge @tsegismont @clementplop

THANK YOU

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