AWS Research and Engineering Studio (RES)

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Case

The Challenge and Its Impact on the Business

For decades, the KNMI relied on traditional workstations to analyze large amounts of data and make weather forecasts. However, maintaining and upgrading this physical hardware presented increasingly significant challenges. The infrastructure limited scalability and flexibility and slowed down important research. The KNMI recognized the need for change and enlisted SUE to develop a cloud-based solution that would eliminate these limitations and prepare the organization for future growth.

Facts and figures

  • Instantly scalable research workstations without hardware limitations

  • Cloud makes global collaboration easier and faster

  • Continuity of research, even in the event of infrastructure problems

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Robin Verstraelen, CTO
We assisted the KNMI in transitioning to the cloud, making research faster, more flexible, and ready for the future. No more hardware limitations, but room for flexible innovation.
Three people are sitting in chairs
Success factors

Results & business value

With guidance from SUE, the KNMI modernized its research environment by adopting AWS cloud solutions. The implementation began with a Proof of Concept (POC), in which the existing environment was simulated in the cloud. Using AWS CloudFormation scripts, the KNMI was able to deploy and scale virtual workstations on demand, eliminating the need for upfront investments in hardware.

The transition to AWS yielded immediately noticeable benefits. Researchers gained flexible access to machine learning tools and computing power, making their workflows faster and more efficient. In addition, the cloud environment provided high availability, ensuring the continuity of the research even in the event of infrastructure failures.

Today, the KNMI operates with considerably greater agility. Resources are scaled up when necessary, without the limitations of physical hardware. This transformation has not only increased efficiency, but also positions the KNMI to further expand its leading role in weather and climate research in the future.

To learn how SUE moves applications and data in waves, visit the page Cloud Migration.

To learn how SUE designs, migrates, and manages AWS environments, visit AWS Consultancy.

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Ready to optimize your R&D cloud environment?

Stefan Behlen
Stefan Behlen

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