Speaker Details

Roy Braam


Roy Braam is a Software Craftsman at JPoint. He loves Java and everything that comes with developing good solutions. In his current assignment, he fulfils the role of Solution Architect @Rabobank. Working with the teams that are responsible for the core-backend of the Online Banking Platform. Being a real developer he likes to spend his time as much as possible developing with the team. Besides that, he loves architecture and solving "the higher level' puzzle

End-to-End test architectures, a dead End road

With the rise of Distributed Architecture, independent DevOps teams and automated CI/CD the End-to-End test environments needs to be reconsidered. They become flaky, shaky, untrustworthy and hard to maintain.

Why are these environments, where all teams deploy their production like service, a dead End road and what are the alternatives?

Why are people still using these so-called 'production-like' test environments and how can we achieve the same level of software quality without them.

What gaps are solved with these expensive environments and how can the use of these systems be reduced.


Easily find your conference pictures using the power of the cloud

As regular conference speakers and attendees we appreciate the efforts from organizers to document the conference using photography. The only downside from this is that we often spend plenty of time clicking through many pages of pictures to find the ones which are relevant to us. So we did what all decent programmers do: automate this tedious task.

In this talk we will show you how we leveraged the power of the cloud using Quarkus and GraalVM to build AWS lambdas running native images, the AWS CDK to deploy infrastructure using actual code for our infrastructure and AWS Rekognition to do the heavy lifting in image analysis.

We will tell you about the cool parts of this tool and its cutting edge technologies, but will also be honest about the bleeding caused by that edge. Hopefully this talk makes it a bit less sharp...

Computer Vision
Amazon Rekognition

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