Browse past weeks of engineering reads.
Organizations migrating to or operating in the cloud encounter hidden and unexpected costs due to suboptimal architectural decisions, resource misconfigurations, and lack of adherence to cloud best practices.
Artera needed to develop and scale an AI-powered prostate cancer diagnostic test, requiring significant compute resources for model training/inference and a reliable pipeline to deliver timely, personalized treatment recommendations.
BASF Digital Farming needed a scalable way to catalog, discover, and serve large volumes of spatiotemporal geospatial data (satellite imagery, crop data) for their xarvio crop optimization platform, and their existing infrastructure struggled with the scale and query patterns of this data.