Bio
Developer Advocate with 15+ years experience consulting for many different customers, in a wide range of contexts (such as telecoms, banking, insurances, large retail and public sector). Usually working on Java/Java EE and Spring technologies, but with focused interests like Rich Internet Applications, Testing, CI/CD and DevOps. Currently working for Hazelcast. Also double as a trainer and triples as a book author.
My Talks
3 easy improvements in your microservices architecture
While microservices offer better scalability, they actually decrease performance and resiliency. I'll show 3 areas in which it's possible to cope with that.
A Change-Data-Capture use-case: designing an evergreen cache
CDC is a brand new approach that "turns the database inside out": it allows to get events out of the database state. This can be leveraged to get a cache that is never stale.
Adding search to your legacy application without hassle
Keeping your derived data (cache, search index, etc.) in synch with your source of truth is a challenge. In this, we will provide you with a straightfoward way to achieve it with the help of Change...
A Guided Tour of Caching Patterns
You might have been using cache for years, and still always design the application to be responsible for the sync between the cache and the underlying data store. Did you know there are many more o...
A Hitchhiker's Tour to Containerizing a Java application
While a plain Dockerfile gets the job done, there are actually many more ways to containerize your Java app. They come with a couple of pros, and some cons.
An always up-to-date developer's CV
GitHub is a developer's CV but what happens if you're not working on any project hosted on GitHub. All hope is not lost: you can still customize your GitHub profile with all data you want.
An Experiment in Continuous Deployment of JVM applications
Continuous deployment doesn't necessarily mean Jenkins, or the latest hype tool. For JVM applications, one can directly deliver bytecode in production.
Designing a DSL with Kotlin
In some particular cases, providing a DSL can greatly improve the productivity of your dev team. Java is not the best language to provide such DSL. But Kotlin has tons of features that can help you...
Fast logs
Logs can be the bottleneck of your application optimized for speed. Let's see different ways to make them faster.
Introduction to data streaming
Data streaming is the new black: with some introduction into its background and a fun demo, I'll show what it consists of and how one can leverage it.
Migrating from Imperative to Reactive
While Reactive Programming is very different from the usual Imperative way, there's no denying it fits "the Cloud", as every bit of resource is used to its fullest. Let's see how to migrate from th...
Mutation Testing to the rescue of your Tests
Code coverage is useless because of assertless testing. There's a technique to replace it, it's called Mutation Testing.
Own your blog with Git and GitLab
Writing a blog is cool. Owning its content is much better. In this talk, I'll show you what infrastructure I'm using since more than 10 years, and how you can set your own.
Pragmatic App Migration to the Cloud: Quarkus, Kotlin, Hazelcast and GraalVM in action
With the Cloud becoming ubiquitous, it's time to assert whether our traditional application stack is up to it.
Securing the JVM - Neither for fun nor for profit, but do you have a choice?
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...
Spring Boot and Kotlin, a match made in Heaven
Spring Boot in Java is good. Spring Boot with Kotlin is amazing, thanks to Kotlin's features, such as extension function, expression body, and many more.
Your own Kubernetes Operator: Not Only in Go
Go is ubiquitous in the Kubernetes ecosystem. But it's not required at all to develop a K8s operator. Let's try it with... Java!
Zero-downtime deployment on Kubernetes with Hazelcast
Beyond Hello World applications, zero-downtime deployments are not trivial. In this talk, I'll demo how to achieve that on a Spring Boot application using Kubernetes and Hazelcast.