Speaking

The Java API allows a lot: sending packets over the network, compiling code, etc. If you put an application in an production environment, you need to make sure it doesn’t do more than it’s supposed to do. Consider a Java application in a private banking system. A new network administrator is hired, and while going around, he notices that the app is making network calls to a unknown external endpoint. After some investigation, it’s found that this app has been sending for years confidential data to a competitor (or a state, or hackers, whatever). This is awkward. Especially since it could have been avoided. Code reviews are good to improve the hardening of an application, but what if the malicious code was planted purposely? Some code buried in a commit could extract code from binary content, compile it on the fly, and then execute the code in the same JVM run... By default, the JVM is not secured! Securing the JVM for a non-trivial application is complex and time-consuming but the risks of not securing it could be disastrous. In this talk, I’ll show some of the things you could do in an unsecured JVM. I’ll also explain the basics of securing it, and finally demo a working process on how to do it.

Despite being very new, Spring Boot has seen a spectacular start as an amazing kickstarter for Spring-based application. You can now start your project in a matter of minutes, not days! On the other hand, you’re still using Java, with all its ceremony regarding code… Wouldn’t it be great if we could pair Spring Boot with a powerful yet simple language? In this talk, I’ll live code a Spring Boot application using Kotlin, the friendly language provided by JetBrains. Come discover how you can now cut through all the boilerplate and finally focus only the important code – the business code

Despite being very new, Spring Boot has seen a spectacular start as an amazing kickstarter for Spring-based application. You can now start your project in a matter of minutes, not days! On the other hand, you’re still using Java, with all its ceremony regarding code… Wouldn’t it be great if we could pair Spring Boot with a powerful yet simple language? In this talk, I’ll live code a Spring Boot application using Kotlin, the friendly language provided by JetBrains. Come discover how you can now cut through all the boilerplate and finally focus only the important code – the business code

This session will review Nicolas Fränkel's book: Integration Testing from the Trenches. We will cover the last 4 chapters: Testing Integration with Web Services, Spring in-container testing, Spring Web MVC testing and Java EE testing.

With the Spring Boot stack you can kickstart your Spring project in a matter of minutes. For both developers using Spring and microservices adopters, Spring Boot has been a resounding success. Favoring Spring Boot over the traditional Spring Framework comes at a cost, you have to let Boot be in control and it might hurt when you decide to get back in the driving seat. Come and discover how auto-configuration and the different flavors of conditionals work through the creation of a Spring Boot starter. You’ll come away with an understanding of Spring Boot internals, how to debug better, and be able to develop your own starter.

Despite being quite 'new', Spring Boot has seen a spectacular start as an amazing kickstarter for Spring-based application. You can now start your project in a matter of minutes, not days! On the other hand, you’re still using Java, with all its ceremony regarding code… Wouldn’t it be great if we could pair Spring Boot with a powerful yet simple language? In this talk, I’ll live code a Spring Boot application using Kotlin, the friendly language provided by JetBrains. Come discover how you can now cut through all the red tape and finally focus only the important stuff

This session will review Nicolas Fränkel's book: Integration Testing from the Trenches. We will cover the first 5 chapters: Foundations of testing, Developer testing tools, Test-Friendly Design, Automated testing and Infrastructure Resources Integration.

Bien que relativement récent, le framework Spring Boot connait un succès spectaculaire. On peut maintenant démarrer un projet Spring en quelques minutes au lieu de quelques jours. D'un autre côté, vous utilisez toujours Java, avec son côté un peu verbeux. Ca ne serait pas sympa de pouvoir combiner Spring Boot avec un langage simple mais expressif ? Dans ce talk, je coderais une application en live avec Spring Boot et Kotlin, le langage fourni par JetBrains. Venez voir comment il est possible de se passer de toute la cérémonie du langage Java pour se concentrer sur la logique métier.

In this talk, I’ll live code a Spring Boot application using Kotlin, the friendly language provided by JetBrains. Come discover how you can now cut through all the red tape and finally focus only the important stuff.

Kotlin is one of those 'new' JVM languages that are currently rocking the boat. Although it’s made a great impact on Android, it’s equally good on the server side. As Domain-Specific Languages are constrained by the language they run on, Kotlin frees developers from Java fluent builders to propose something better. Taking the example of a Vaadin UI DSL, I’ll demo how one could design its own DSL with Kotlin.

What good would it be to put data into Elasticsearch and leave it there untouched? At some point, data needs to be put to (good) use, and the best way to do that is to display it in a graphical way. In this session, I'll show some of Kibana's features to achieve that.

Kotlin is one of those new JVM languages that are currently rocking the boat. Although it’s made a great impact on Android, it’s equally good on the server side. As Domain-Specific Languages are constrained by the language they run on, Kotlin frees developers from Java fluent builders to propose something better.

Spring Boot has seen a tremendous increase of usage since its inception. Developers like it for its default convention over configuration approach that improved project setup time. Ops like it for its friendly monitoring endpoints. But there’s more to that.

Unit testing ensures your production code is relevant. But what does ensure your testing code is relevant? Come discover mutation testing and make sure your never forget another assert again. In the realm of testing, the code coverage metrics is the most often talked about. However, it doesn’t mean that the test has been useful or even that an assert has been coded. Mutation testing is a strategy to make sure that the test code is relevant. In this talk, I will explain how Code Coverage is computed and what its inherent flaw is. Afterwards, I will describe how Mutation Testing work and how it helps pointing out code that is tested but leave out corner cases. I will also demo PIT, a Java production-grade framework that enables Mutation Testing.

Who can ignore microservices in 2017? Everybody is talking about them and telling how they will save your projects and your organization. However, nobody is telling you about the cost of implementing microservices. After attending this talk, you’ll be able to decide by yourself whether microservices is the right architecture for you.

Spring Boot is a product from Spring, that provides many configuration defaults for a new Spring project, so that one can set up a project in minutes. However, this is only one of the many features of Spring Boot. One of its module also provides many important Non-Functional Requirements out-of-the-box: monitoring, metrics, exposing those over HTTP, etc. In this presentation, I'll demo some of those, that will make DevOps more than a little happy.

Despite being very new, spring boot has seen a spectacular start as an amazing kickstarter for spring-based application. You can now start your project in a matter of minutes, not days! On the other hand, you're still using Java, with all its ceremony regarding code... Wouldn't it be great if we could pair Spring Boot with a powerful yet simple language? In this talk, I'll live code a Spring Boot application using Kotlin, the friendly language provided by JetBrains. Come discover how you can now cut through all the red tape and finally focus only the important stuff.

Years after Kent Beck provided JUnit, unit testing is part of most developer teams tooling. However, there's a trend that tends to threaten unit testing, claiming only integration testing can truly detects defects in software. In this talk, we will first define what unit testing and integration testing are, and their respective pros, cons and uses. Then, we will have a look at the unique challenges posed by integration testing. Finally, tools and techniques will be presented to somewhat remedy to that so that integration testing becomes a true asset in each software developer bag of tricks.

Spring Boot is a stack enabling you to kickstart your Spring application in a matter of minutes. It has been a resounding success among both developers already using Spring and microservices adopters. Favoring Spring Boot over the traditional Spring framework comes at a cost, though: you have to let Boot in control and some like to know everything what happens. Come to this talk to discover about auto-configuration and the different flavors of conditionals by creating our own Spring Boot starter. After this talk, you’ll be able to understand Spring Boot internals and develop your own starter dependency.

Spring Boot is a stack enabling you to kickstart your Spring application in a matter of minutes. It has been a resounding success among both developers already using Spring and microservices adopters. Favoring Spring Boot over the traditional Spring framework comes at a cost, though: you have to let Boot in control and some like to know everything what happens. Come to this talk to discover about auto-configuration and the different flavors of conditionals. After this talk, you’ll be able to understand Spring Boot internals and develop your own starter dependency.

Who can ignore microservices in 2015? Everybody is talking about them and telling how they will save your projects and your organization. However, nobody is telling you about the cost of implementing microservices.

Unit testing ensures your production code is relevant. But what does ensure your testing code is relevant? Come discover mutation testing and make sure your never forget another assert again.

For some time, I've been teaching myself Android by developing an application. I tried to use the 'right' development stack with libraries such as Dagger 2 and Butterknife. Kotlin is a JMV-based language provided by JetBrains, along with Anko, a library using Kotlin dedicated for Android. At first, I just wanted to play with both, but I quickly became convinced those were right choices. In this talk, I will show what you can achieve with both so you can supercharge your Android-Fu.

Spring Boot is a product from Spring, that provides many configuration defaults for a new Spring project, so that one can set up a project in minutes. However, this is only one of the many features of Spring Boot. One of its module also provides many important Non-Functional Requirements out-of-the-box: monitoring, metrics, exposing those over HTTP, etc. In this presentation, I’ll demo some of those, that will make DevOps more than a little happy. Comments: DevOps that don’t know about Spring Boot should. Out-of-the-box features are priceless and include metrics, healthchecks, hearbeat and more.

Unit testing ensures your production code is relevant. But what does ensure your testing code is relevant? Come discover mutation testing and make sure your never forget another assert again.

Though the code is written once, it’s read ten or hundred of times during the lifetime of an application. Thus, the way to write code is very important for maintainability. However, for various reasons, sometimes developers don’t write the most maintainable code: hence, it’s necessary to be able to rewrite this code when there’s time. In this live demo, I’ll show you techniques and tools to help you refactor in the safest way.

Years after Kent Beck provided JUnit, unit testing is part of most developer teams tooling. However, there's a trend that tends to threaten unit testing, claiming only integration testing can truly detects defects in software. In this talk, we will first define what unit testing and integration testing are, and their respective pros, cons and uses. Then, we will have a look at the unique challenges posed by integration testing. Finally, tools and techniques will be presented to somewhat remedy to that so that integration testing becomes a true asset in each software developer bag of tricks.

Spring Boot is a product from Spring, that provides many configuration defaults for a new Spring project, so that one can set up a project in minutes. However, this is only one of the many features of Spring Boot. One of its module also provides many important Non-Functional Requirements out-of-the-box: monitoring, metrics, exposing those over HTTP, etc. In this presentation, I'll demo some of those, that will make DevOps more than a little happy.

I'm not an Android developer by far, but I've been working in a mobile development team as the DevOps guy, which basically translates to do anything that is not related to development proper. When I was introduced to the team, they had hacked something on a Bamboo server, based on custom Python scripts that uploaded the binaries to a Hockeykit server, completely decoupled from the Maven build and the Nexus repository. The they decided to switch to Gradle... In this presentation, I will describe how I migrated from this situation to a standard build on a full-fledged Jenkins server and more importantly the pain points I encountered regarding the provisioning of Gradle , the updates of the Android SDK platforms, extras and repositories and the management of Robolectric behind the entreprise proxy.

When one uses Test-Driven Development, has more then 90% test coverage and the best Sonar metrics ever seen, and still finds regular bugs in his application, it is time for something more. Unit Testing is like testing a car's every nuts and bolts while Integration Testing is like leading it on a test drive: one cannot achieve high internal quality without the other. However, Integration Testing might seem very complex when put in place for the first several times; I have made many mistakes and have lost much time. In this presentation, I will present tools that helped me tremendously in Integration Testing, as well as proven tactics to get the best out of your tests.

Spring Boot is a stack enabling you to kickstart your Spring application in a matter of minutes. It has been a resounding success among both developers already using Spring and microservices adopters. Favoring Spring Boot over the traditional Spring framework comes at a cost, though: you have to let Boot in control and some like to know everything what happens. Come to this talk to discover about auto-configuration and the different flavors of conditionals. After this talk, you’ll be able to understand Spring Boot internals and develop your own starter dependency.

Unit testing ensures your production code is relevant. But what does ensure your testing code is relevant? Come discover mutation testing and make sure your never forget another assert again. In the realm of testing, the code coverage metrics is the most often talked about. However, it doesn’t mean that the test has been useful or even that an assert has been coded. Mutation testing is a strategy to make sure that the test code is relevant. In this talk, I will explain how Code Coverage is computed and what its inherent flaw is. Afterwards, I will describe how Mutation Testing work and how it helps pointing out code that is tested but leave out corner cases. I will also demo PIT, a Java production-grade framework that enables Mutation Testing on a simple code base.

Spring Boot is a product from Spring, that provides many configuration defaults for a new Spring project, so that one can set up a project in minutes. However, this is only one of the many features of Spring Boot. One of its module also provides many important Non-Functional Requirements out-of-the-box: monitoring, metrics, exposing those over HTTP, etc. In this presentation, I'll demo some of those, that will make DevOps more than a little happy.

Spring Boot is a product from Spring, that provides many configuration defaults for a new Spring project, so that one can set up a project in minutes. However, this is only one of the many features of Spring Boot. One of its module also provides many important Non-Functional Requirements out-of-the-box: monitoring, metrics, exposing those over HTTP, etc. In this presentation, I'll demo some of those, that will make DevOps more than a little happy.

Spring Boot is a product from Spring, that provides many configuration defaults for a new Spring project, so that one can set up a project in minutes. However, this is only one of the many features of Spring Boot. One of its module also provides many important Non-Functional Requirements out-of-the-box: monitoring, metrics, exposing those over HTTP, etc. In this presentation, I'll demo some of those, that will make DevOps more than a little happy.

Unit testing ensures your production code is relevant. But what does ensure your testing code is relevant? Come discover mutation testing and make sure your never forget another assert again. In the realm of testing, the code coverage metrics is the most often talked about. However, it doesn't mean that the test has been useful or even that an assert has been coded. Mutation testing is a strategy to make sure that the test code is relevant. In this talk, I will explain how Code Coverage is computed and what its inherent flaw is. Afterwards, I will describe how Mutation Testing work and how it helps pointing out code that is tested but leave out corner cases. I will also demo PIT, a Java production-grade framework that enables Mutation Testing on a simple code base. If time allows, a demo will also show how PIT can be integrated with Sonar.

with Evegeny Mandrikov

Spring Boot is a product from Spring, that provides many configuration defaults for a new Spring project, so that one can set up a project in minutes. However, this is only one of the many features of Spring Boot. One of its module also provides many important Non-Functional Requirements out-of-the-box: monitoring, metrics, exposing those over HTTP, etc. In this presentation, I'll demo some of those, that will make DevOps more than a little happy.

Unit testing ensures your production code is relevant. But what does ensure your testing code is relevant? Come discover mutation testing and make sure your never forget another assert again.

with Evegeny Mandrikov

Practical introduction to Spring Boot usage with Vaadin.

with Josh Long

Spring Boot is a product from Spring, that provides many configuration defaults for a new Spring project, so that one can set up a project in minutes. However, this is only one of the many features of Spring Boot. One of its module also provides many important Non-Functional Requirements out-of-the-box: monitoring, metrics, exposing those over HTTP, etc. In this presentation, I’ll demo some of those, that will make DevOps more than a little happy.

In this talk, I will explain how Code Coverage is computed and what its inherent flaw is. Afterwards, I will describe how Mutation Testing work and how it helps pointing out code that is tested but leave out corner cases. I will also demo PIT, a Java production-grade framework that enables Mutation Testing on a simple code base. If time allows, a demo will also show how PIT can be integrated with SonarQube.

In this talk, I will explain how Code Coverage is computed and what its inherent flaw is. Afterwards, I will describe how Mutation Testing work and how it helps pointing out code that is tested but leave out corner cases. I will also demo PIT, a Java production-grade framework that enables Mutation Testing on a simple code base. If time allows, a demo will also show how PIT can be integrated with SonarQube.

Who never stumbled upon some bad piece of code? Most of the time, it's not bad, it just had different assumptions. The problem is that those assumptions may have been coming from very far. Come challenge your assumptions in this talk, I promise a good laugh (some of it at the speaker's expenses). Given most of our profession comes from a computer scientist background, it is expected that we use a scientific and verifiable approach in decision taking processes. Unfortunately, nothing could be further from the truth. Our environment is ridden with irrational convictions that come from out of nowhere. Those are of two different kinds: memes are 'ideas, behaviors, or styles that spreads from person to person within our culture' while cargo culting is the 'ritual inclusion of code or program structures that serve no real purpose'. Both are deeply entrenched in our community. This talk will try to challenge some of those common ideas, by highlighting the most pervasive ones.

When one uses Test-Driven Development, has more then 90% test coverage and the best Sonar metrics ever seen, and still finds regular bugs in his application, it is time for something more. Unit Testing is like testing a car's every nuts and bolts while Integration Testing is like leading it on a test drive: one cannot achieve high internal quality without the other. However, Integration Testing might seem very complex when put in place for the first several times; I have made many mistakes and have lost much time. In this presentation, I will present tools that helped me tremendously in Integration Testing, as well as proven tactics to get the best out of your tests.

Years after Kent Beck provided JUnit, unit testing is part of most developer teams tooling. However, there's a trend that tends to threaten unit testing, claiming only integration testing can truly detects defects in software. In this talk, we will first define what unit testing and integration testing are, and their respective pros, cons and uses. Then, we will have a look at the unique challenges posed by integration testing. Finally, tools and techniques will be presented to somewhat remedy to that so that integration testing becomes a true asset in each software developer bag of tricks.

Mutation testing creates mutants from code - a deviation from the written code, and test them also. If a test still passes on a mutant, then the test is not relevant. PIT is a Java tool that makes mutation testing possible.

Web Development requires many front-end skills: in the best case, it is an underpaid job, and in the worst, it is left to interns. Vaadin is a Java framework requiring only Java skills. It also offers many features: true Object-Oriented Programming (inheritance and composition), an abstraction over Web request/response with Event-Driven Programming, data binding and server push. Even better, Vaadin compiles to bytecode and if necessary, is extensible on the client-side. In this presentation I will demo those features to give a taste of how easy it is to develop with Vaadin.

Given most of our profession comes from a computer scientist background, it is expected that we use a scientific and verifiable approach in decision taking processes. Unfortunately, nothing could be further from the truth. Our environment is ridden with irrational convictions that come from out of nowhere. Those are of two different kinds: memes are “ideas, behaviors, or styles that spreads from person to person within our culture” while cargo culting is the “ritual inclusion of code or program structures that serve no real purpose”. Both are deeply entrenched in our community. This talk will try to challenge some of those common ideas by highlighting the most pervasive ones.