Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Démystifier le réactif et l'orchestration de se...
Search
Sponsored
·
SiteGround - Reliable hosting with speed, security, and support you can count on.
→
Julien Ponge
April 19, 2018
Programming
300
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Démystifier le réactif et l'orchestration de services avec Vert.x, Kubernetes et Kotlin
At MiXiT 2018
Julien Ponge
April 19, 2018
More Decks by Julien Ponge
See All by Julien Ponge
Quarkus Insights 2023-03-06
jponge
0
130
Reactive Streams. 4 Interfaces. Et après ?
jponge
0
70
Scalability and resilience in practice: current trends and opportunities
jponge
0
310
Eclipse Vert.x at BruJUG 2019
jponge
0
210
Du réactif au service du pneu connecté
jponge
0
400
Bringing Reactive to Enterprise Java Developers
jponge
0
350
Golo LyonJUG 2019
jponge
0
310
Vert.x Montreal JUG 2018
jponge
0
550
Bringing Reactive to Enterprise Application Developer // Reactive Summit 2018
jponge
0
300
Other Decks in Programming
See All in Programming
AIが無かった頃の素敵な出会いの話
codmoninc
1
460
テーブルをDELETEした
yuzneri
0
140
freeeにおけるEvalsの実践例の紹介
freee
PRO
0
120
freee が目指す データ マネジメント戦略 AI-Ready 時代を支える 攻めのガバナンスとは
freee
PRO
0
410
メールのエイリアス機能を履き違えない
isshinfunada
0
240
【やさしく解説 設計編・中級 #6】良いアーキテクチャとは ~ 一本の登り道の、行き先 ~
panda728
PRO
0
220
Building a Meta Ray-Ban display app
akkeylab
0
160
Android CLI
fornewid
0
220
Go 1.27 における memory allocation の高速化
andpad
0
240
使いながら育てる Claude Code — 開発フローの1コマンド化 × 繰り返し指摘の自動仕組み化
shiki_kakaku
0
1.8k
自動化したのに回らない テスト運用の壁―AI時代の品質責任と生産性
mfunaki
0
280
全PRの83%がAIレビューだけでマージできるようになった開発組織はその後どうなったか
athug
1
1.8k
Featured
See All Featured
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
49
10k
Building the Perfect Custom Keyboard
takai
2
840
jQuery: Nuts, Bolts and Bling
dougneiner
66
8.5k
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
27k
GitHub's CSS Performance
jonrohan
1033
470k
Are puppies a ranking factor?
jonoalderson
1
3.8k
BBQ
matthewcrist
89
10k
It's Worth the Effort
3n
188
29k
Game over? The fight for quality and originality in the time of robots
wayneb77
1
240
WCS-LA-2024
lcolladotor
0
800
The SEO identity crisis: Don't let AI make you average
varn
0
530
Organizational Design Perspectives: An Ontology of Organizational Design Elements
kimpetersen
PRO
1
800
Transcript
Démystifier le réactif et l'orchestration de services avec Vert.x, Kubernetes
et Kotlin
! https://julien.ponge.org/ " @jponge # @jponge https://www.mixcloud.com/hclcast/
“No to average expertise on any of these technologies” !
" (or async)
Kotlin? (1 slide to be an expert)
data class Person(val name: String, val age: Int) fun String.yo()
{ println("$this -> Yo!") } fun wrap(block: () -> Unit) { println("{{{") block() println("}}}") } fun main(args: Array<String>) { wrap { val phil = Person(name=“Philippe C”, age=49) println(phil) phil.name.yo() } }
data class Person(val name: String, val age: Int) fun String.yo()
{ println("$this -> Yo!") } fun wrap(block: () -> Unit) { println("{{{") block() println("}}}") } fun main(args: Array<String>) { wrap { val phil = Person(name=“Philippe C”, age=49) println(phil) phil.name.yo() } }
data class Person(val name: String, val age: Int) fun String.yo()
{ println("$this -> Yo!") } fun wrap(block: () -> Unit) { println("{{{") block() println("}}}") } fun main(args: Array<String>) { wrap { val phil = Person(name=“Philippe C”, age=49) println(phil) phil.name.yo() } }
data class Person(val name: String, val age: Int) fun String.yo()
{ println("$this -> Yo!") } fun wrap(block: () -> Unit) { println("{{{") block() println("}}}") } fun main(args: Array<String>) { wrap { val phil = Person(name=“Philippe C”, age=49) println(phil) phil.name.yo() } } {{{ Person(name=Philippe C, age=49) Philippe -> Yo! }}}
Reactive? (because resources are scarce)
Reactive systems Reactive streams Reactive programming Reactive “Responding to stimuli”
Manifesto, Actor, Messages Resilience, Elasticity, Scalability, Asynchronous, non-blocking Data flow Back-pressure Non-blocking Data flow Events, Observable Spreadsheets Akka, Vert.x Akka Streams, RxJava, Reactor, Vert.x Reactor, Reactive Spring, RxJava, Vert.x
Application
while (isRunning) { String line = bufferedReader.readLine(); switch (line.substring(0, 4))
{ case "ECHO": bufferedWriter.write(line); break // ... // other cases ( ...) // ... default: bufferedWriter.write("UNKW Unknown command"); } }
x 1000 = %
Virtual machines, Containers, etc
None
Vert.x? (async all the things!)
Eclipse Vert.x Open source project started in 2012 Eclipse /
Apache licensing A toolkit for building reactive applications for the JVM 7K ⋆ on ' Built on top of ! https://vertx.io " @vertx_project
( ) ( Http server verticle Database client verticle
Event Bus + ) “Details for user 1234?” “{data}” 4 instances 1 instance
Events Thread Event Loop ( ( ( ( (
(demo) Hello Kotlin + Vert.x
None
Async is hard (callback hell is just one facet)
Kotlin coroutines Looks “like” sequential operations async/await + Go-style channels
1/2
None
None
RxJava2 + Kotlin extensions Declarative data flows over event sources
Operators transforming data + event streams 2/2
fun main(args: Array<String>) { val rand = Random() val o1
= Observable .fromCallable(rand ::nextInt) .repeat() .take(500, TimeUnit.MILLISECONDS) .filter { it > 0 } .filter { it % 2 == 0 } .map { "[${it}]" } val o2 = Observable.fromIterable(1 ..Long.MAX_VALUE) Observables .zip(o1, o2) { n, id -> "${id} -> ${n}" } .subscribeBy( onNext = logger ::info, onError = { logger.error("Oh?") }, onComplete = { logger.info("Done!") } ) }
fun main(args: Array<String>) { val rand = Random() val o1
= Observable .fromCallable(rand ::nextInt) .repeat() .take(500, TimeUnit.MILLISECONDS) .filter { it > 0 } .filter { it % 2 == 0 } .map { "[${it}]" } val o2 = Observable.fromIterable(1 ..Long.MAX_VALUE) Observables .zip(o1, o2) { n, id -> "${id} -> ${n}" } .subscribeBy( onNext = logger ::info, onError = { logger.error("Oh?") }, onComplete = { logger.info("Done!") } ) }
fun main(args: Array<String>) { val rand = Random() val o1
= Observable .fromCallable(rand ::nextInt) .repeat() .take(500, TimeUnit.MILLISECONDS) .filter { it > 0 } .filter { it % 2 == 0 } .map { "[${it}]" } val o2 = Observable.fromIterable(1 ..Long.MAX_VALUE) Observables .zip(o1, o2) { n, id -> "${id} -> ${n}" } .subscribeBy( onNext = logger ::info, onError = { logger.error("Oh?") }, onComplete = { logger.info("Done!") } ) } “id -> [n]” zip()
Kubernetes? (orchestrating containers for you)
https://cloud.google.com/kubernetes-engine/kubernetes-comic
None
https://cloud.google.com/kubernetes-engine/kubernetes-comic
Pod Pod Pod Pod Pod Pod Pod Pod Node Node
Master(s)
Same host Same network Same namespace Same volumes Same secrets
Pod Container Container Container
Container Container Container Pod replicas & scaling Readiness probes Liveness
probes Restart policy Rolling upgrades (…)
Using Kubernetes (minikube is your friend)
⚙ Temperatures services Aggregate Alarm
(demo) Kubernetes (minikube) https://github.com/jponge/demo-vertx-kotlin-rxjava2-kubernetes
Outro (how was the nap?)
Unified end-to-end reactive model + ecosystem (not just APIs…) For
all kinds of distributed applications (even the small-scale ones) Flexible toolkit, not a framework (your needs, your call)
https: //youtu.be/ZkWsilpiSqw , Applications réactives avec Eclipse Vert.x - Building
Reactive Microservices in Java https: //goo.gl/ep6yB9 - Guide to async programming with Vert.x for Java developers https: //goo.gl/AcWW3A
Lunch at your company?
Q&A ! https://julien.ponge.org/ " @jponge # @jponge https://www.mixcloud.com/hclcast/