Bringing Reactive to Enterprise Java Developers

Julien Ponge, Thomas Segismont and Clement EscoffierRed Hat

Reactive Summit 20182

Hello!

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

Reactive Summit 20183

(s a l p u )

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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)

MicroservicesDocker

KubernetesReactivemanifesto

‘12

Vert.xNode.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 OperatorsReactive MessagingConcurrency

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JAX-RS and reactive

Stream data as SSE

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Reactive Messaging (and data streaming)

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Reactive Messaging (and data streaming)

Manuel, pre and post

processing

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Reactive Stream Operators

Compose and

transform

Demos*

* no rabbits were harmed in the making of this.

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Step #1RestEasy, server-sent events and reactive streams

Server

{sleeping, awake, eating}

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Step #2Introducing MicroProfile Reactive Messaging

HealthDataBean

(temperature, heartbeat, pressure)

Neo

(sleeping, awake, eating)

Processor

state

Health dataHeartbeat

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Step #3Introducing MicroProfile Reactive Streams Operators

HealthDataBean

(temperature, heartbeat, pressure)

Processor

Health data

Heartbeat

HTTP Client(Vert.x)

Snapshot service(latest data)

Health data

Health data1 2

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Step #4Health data comes from MQTT

Processor

Health data

Heartbeat

HTTP Client(Vert.x)

Snapshot service(latest data)

Health data

Health data1 2

MQTT

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Step #5Event-driven and asynchronous microservices

MQTT

Kafka

Collector service

Snapshot service

Web application

Health data

Events split by topic

SSE

HTTPEvents

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

Reactive Summit 201828

(s a l p u #2)

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Q&A

@jponge @tsegismont @clementplop

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