nClouds AWS Case Study | Yewno
Yewno provides Augmented Intelligence. Its mission is to extract knowledge from an overwhelming quantity of unstructured and structured data. Yewno’s technology helps its customers overcome the “information overload” problem and enables them to research and understand the world more naturally. It is inspired by how humans process information from multiple sensorial channels and leverages state-of-the-art computational linguistics, network theory, machine learning (ML), and methods from classical artificial intelligence (AI). To learn more, go to www.yewno.com
Focus on innovation
Save costs and time
Enhance scalability, availability, and security
Yewno wanted to free its engineers and data scientists from the time and expense of managing DevOps-related functions so that they could focus on new product innovation and time-to-market for Yewno’s fast-growth business. Yewno wanted to modernize its application and ensure that the AWS environment had improved scalability and cost tracking controls.
“nClouds is our extended team that manages DevOps services and provides ongoing support of our AWS infrastructure. This partnership has leveraged the Yewno team to focus on product innovation for our AI platform offering. This focus, combined with powerful automation like our CI/CD pipeline and modernization with EKS, has helped us deliver faster, with reduced costs, and better predictability.”
Recently, Yewno was interested in exploring the use of Kubernetes. nClouds migrated their existing Amazon Elastic Container Service (Amazon ECS) clusters to Amazon EKS to leverage some of Kubernetes’ native features to improve deployment and resource strategies.
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