AgroScout is taking on a massive, ongoing computing challenge: Helping farmers scan millions of images captured from their fields decide if a given leaf is healthy. If it’s not, machine-learning algorithms built into the company’s autonomous scouting system determine if the culprit is a known disease or pest, or if a new threat needs to identified.
AgroScout CEO Simcha Shore turned to Oracle Cloud to develop and run the system’s applications and algorithms. For its application to collect, manage, and upload images to the cloud, AgroScout uses Oracle Cloud Native services, including Container Engine for Kubernetes and Oracle Cloud Infrastructure Registry. Application updates that used to take 24 hours with a previous cloud provider are now done in minutes. AgroScout’s machine learning relies on Oracle Cloud Infrastructure’s GPU instances, providing the speed and performance that machine-learning workloads demand.
The Geneva-based European Organization for Nuclear Research, known as CERN, operates the largest particle physics laboratory in the world. Open Days is one of its biggest events and the reservation system was 100% hosted on Oracle Cloud with Oracle Cloud Native services and Oracle Autonomous Transaction Processing.
The Kubernetes ecosystem and community
Oracle is a Platinum member of the Cloud Native Computing Foundation (CNCF), an open source community that supports several dozen software development projects organized by maturity level. The graduated projects (Kubernetes, Prometheus, Envoy, CoreDNS, containerd, Fluentd, Jaeger, Vitess, TUF, and Helm) have all proven invaluable for aspects of cloud native development.