Name: May 12th Meetup: Lessons Learned from a Global Team & Docker Who: The Cloud Sent
Start: 2025-05-12T17:30:00+02:00
End: 2025-05-12T22:00:00+02:00
Location: Kamer van Koophandel

We are happy to announce our next meetup with Rijo Sam en Dmitry Chuyko.

The meetup will be hosted by the Dutch Chamber of Commerce (KVK).

Please join us and RSVP!

Because of the limited number of seats, please keep your RSVP up-to-date, so we can welcome someone else of you can't make it.

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17:30 Doors open
18:00 Food & Drinks
19:00 Tulips to Turmeric: Lessons Learned from a Global Team by Rijo Sam
20:00 Break
20:15 Docker Who: The Cloud Sent by Dmitry Chuyko
21:15 Drinks

**Giveaways**
1 JetBrains licence
2 tickets for J-Spring Conference

**Talks**

**Tulips to Turmeric: Lessons Learned from a Global Team**

Ever wondered why working in global teams feels like unravelling a mystery? You're not alone! The reality of working within such a team can differ from expectations. Often, the greatest challenge for developers isn't the actual work, but rather navigating the distance, understanding cultural disparities, and maintaining meaningful connections with team members.

Today, whether we work in Amsterdam or New Delhi, Brussels or Beijing, we are all part of a global network where success requires traversing vastly different cultural realities. But how do you deliver constructive feedback to colleagues from Asia, America, or Europe? And why does your Indian team really need an hour for lunch? Also, do you know the secret that a ‘NO’ can come in many disguises?

In this session, I will share personal stories and practical strategies from my years of working with multicultural teams. These strategies aim to enhance communication, bridge cultural gaps, and foster strong collaboration across continents. Join me as we embark on a journey filled with laughter, learning, and limitless possibilities.

**Docker Who: The Cloud Sent**

Organizations sometimes find themselves trapped in a labyrinthine castle of rewriting code and reassembling teams, relentlessly pursued by cloud bills. Developers again and again face the Sisyphean task of building effective images.

Fortunately, there are resilient helpers such as HotSpot JVM and GraalVM native images, which behave nicely in containers (however, there are important points to keep in mind). As such, image size and memory consumption can be significantly reduced by selecting underlying components. Image creation can be simplified and unified by tools such as buildpacks, and the most important parameters will be automatically configured when a pod is started. Application performance can be further enhanced by powerful yet simple tweaks applied to the runtime and OS in containers.

Let's figure out what effective containers are and how to build them using available tools without any Void stuff.

**Speakers**

**Rijo Sam**

Rijo works as a Java Chapter Lead based in the Netherlands. He possesses extensive experience in developing applications within the payments and credits sector of the banking domain.
Rijo is originally from India, and now settled in Netherlands.
Embracing Dutch culture, he enjoys eating his sandwich while riding his bike 😉

**Dmitry Chuyko**

Dmitry Chuyko is a Senior Performance Architect at BellSoft, an OpenJDK committer, and a public speaker. Prior to joining BellSoft, Dmitry worked on the Hotpot JVM at Oracle, and before that he had many years of programming experience in Java. He is currently focused on optimizing HotSpot for x86 and ARM, previously being involved in rolling out JEP 386, which enables the creation of the smallest JDK containers. Dmitry continues his journey in the containerization process and is happy to share his insights and expertise in this fi eld.

Teo Bais

Willem van de Griendt

Michel van Dongen

Utrecht Java User Group

Technology

Java

Open Source

Software Development

Web Technology

Cloud Computing

Web Development

Android Development Operating Systems Technology

Agile Project Management

Test Driven Development

J2EE

Java Concurrency

Java Virtual Machine

Java EE

Server Side Javascript