Climate insights: reliable weather predictions in the Cloud
Services
Cloud Engineering, Infrastructure as Code, DevOps
Industry
Research, Meteorology
Technologies
Python, AWS (S3, ECR, Batch, Fargate, EventBridge, IAM), Docker, GitHub Actions, Terraform
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We transformed a set of Python-based weather prediction models—originally running only on individual laptops—into a reliable, scalable cloud solution that serves both our primary client and its partner institutes.
Challenges & Solutions
Migrating sophisticated, compute-intensive forecasting models to the cloud uncovered a handful of critical hurdles—ranging from performance and portability concerns to access controls and scheduling—that we needed to address head-on to achieve a seamless, reliable pipeline.
“Wolk has consistently demonstrated exceptional professionalism, reliability, and proficiency, making them an outstanding partner.”
Patricia Trambauer
Researcher & Consultant @ Deltares
Stijn Meijers
Founder & Data Architect
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Nathan brings deep expertise in building scalable data pipelines and analytics systems that are essential for accelerating the energy transition. As a data engineer at Wolk, he has architected solutions that help renewable energy companies transform raw operational data into actionable insights.