This document discusses Vert.x, an open source toolkit for building reactive applications on the JVM. It provides an overview of Vert.x and how Zanox uses it for a new request processing system. Key points include: Vert.x is lightweight, asynchronous, and event-driven; it uses Netty, Hazelcast, and Jackson. The document also covers how to set up a Vert.x project, best practices like avoiding blocking code, infrastructure as code with Chef, the module system, integration with Kafka for messaging, and metrics showing Vert.x's performance.

1. PRODUCTION READY VERT.X
Berlin | 30.04.2014

2. TABLE OF CONTENTS
1. Introduction
2. The Beginning
3. What is Vert.x?
4. How to start?
5. Infrastructure as code
6. Vert.x module system
7. Integration with messaging system
8. Kafka module
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3. INTRODUCTION ZANOX
Europe‘s leading performance advertising network
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4. THE BEGINNING
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Java Magazin 04.14:
Vert.x im Unternehmenseinsatz
Entwicklung und Betrieb von
asynchronen Applikationen mit Vert.x in
der Praxis

5. THE BEGINNING
● New request processing-system for Zanox
● Requirements are pretty high (not negotiable):
● Low latency
● High throughput
● Scalable
● Resilient
● Responsive
● Event-Driven
● Fast
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6. THE BEGINNING
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7. “Vert.x is a lightweight, high performance application
platform for the JVM that's designed for modern
mobile, web, and enterprise applications.”
Vert.x
WHAT IS VERT.X?
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8. WHAT IS VERT.X?
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Polyglot

9. WHAT IS A VERTICLE?
● Classes with an own Classloader
● operates Single Threaded
● executed by an Event Loop
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Event Loop Pool
Event Bus
V V V W W W
TAKE A LOOK INSIDE

11. WHAT‘S DEEP INSIDE?
● Build on top of Netty 4
● Uses Hazelcast for node discovery
● Jackson for JSON
● Java7+
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12. HOW TO START?
● Prerequisite: JDK 7
● download and unzip file from vertx.io
● put /bin directory to PATH variable
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13. HOW TO START?
● mvn archetype:generate -Dfilter=io.vertx:
(do not forget the colon!)
● generates structure for all languages (JS, Ruby,
Groovy, Python)
● maven pom is already set with relevant data
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14. HOW TO START?
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15. BEST PRACTICES
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16. BEST PRACTICES
● do not block the loop
● put blocking code or extensive computation into
worker verticles
● keep the application responsive
● stress test as often as possible
● encapsulate common code in modules (more on this
later)
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17. INFRASTRUCTURE AS CODE
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18. INFRASTRUCTURE AS CODE
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"CHEF IS LIKE A LITTLE SYSTEM
ADMIN ROBOT ... YOU TELL IT
HOW YOU WANT YOUR SYSTEM
CONFIGURED, AND IT WILL DO ALL
THE DIRTY WORK.”

19. INFRASTRUCTURE AS CODE
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20. INFRASTRUCTURE AS CODE
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Chef Cookbook

21. INFRASTRUCTURE AS CODE
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22. VERT.X MODULE SYSTEM
● Vert.x has a powerful module system.
● Package your Vert.x components into modules for
encapsulation and reuse.
● The module is a zip file
● It can be just plugged in into your application
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23. VERT.X MODULE SYSTEM
● Share your modules with the community by putting
them in Maven Central, any other Maven repository, or
in Bintray.
● Advertise your module in the module registry.
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24. VERT.X MODULE REGISTRY
● Just fill in the form and wait for approval:
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25. INTEGRATION WITH MESSAGING
SYSTEM
● Apache Kafka is a publish-subscribe messaging
implemented as a distributed commit log.
● Fast
● Scalable
● Durable
● Distributed
25
KAFKA MESSAGING SYSTEM
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26. INTEGRATION WITH MESSAGING
SYSTEM
● Topic - categories for feeds of messages
● Producer - publishes messages to topics
● Consumer - subscribes to topics and process the feed
of published messages consumers
● Broker - Kafka is run as a cluster comprised of one or
more servers each of which is called a broker.
26
MAIN TERMINOLOGY:
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27. KAFKA MODULE
● Application sends messages to Kafka module using
Vert.x event bus
● Kafka module acts as a producer
● Available on Maven Central and Vert.x module registry
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28. KAFKA MODULE IN MODULE REGISTRY
Open sourced Kafka module in Vert.x’s module registry -
http://modulereg.vertx.io/
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29. USING VERT.X MODULE
First, deploy the module into your application:
container.deployModule("com.zanox.vertx~mo
d-kafka~1.0.2", config);
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30. USING KAFKA MODULE
JsonObject config = new JsonObject();
config.putString("kafka-topic", „kafka_topic“);
config.putString("metadata.broker.list",
“localhost:9092”);
config.putString("request.required.acks", "1");
30
CONFIGURATION IS A JSON OBJECT:
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31. METRICS OF VERT.X PROJECT
● On 4 Cores virtual machine we had the following
results:
● ~28 K requests per second without Kafka, with
lookup from Redis
● ~18 K requests per second with Kafka and lookup
from Redis
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