AWS Startups Blog

Category: Amazon Elastic Kubernetes Service

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Why Audioburst Migrated its Kubernetes-based System to AWS

Audioburst is on a mission to build the world’s largest talk audio repository, enabling anyone to easily search for and share content. Initially, the company launched on Azure, but has since fully migrated to AWS for managing its Kubernetes-based system. Since moving, Audioburst has been able to take advantage of multiple other services within the AWS ecosystem, such as Amazon Transcribe. Watch the above video to hear from CTO Gal Klein on what went into the decision to migrate and how it’s been since the move.

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wefoxgroup’s Migration to AWS and Amazon EKS

When Esteve Alquézar Mora was hired on to wefoxgroup team in December 2018, he was the first full-time employee dedicated to managing the insurance startup’s infrastructure. The then 4-year-old company was running on Heroku, and Alquézar jumped in to understand how to best set up wefoxgroup to successfully scale. As the team grew, wefoxgroup decided to migrate to AWS. Here’s why.

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How Komodo Health Enables Self-serve Analytics with a Multi-tenant Notebook Platform on EKS and EMR 6

​Komodo Health​, has been growing rapidly in our mission to reduce the global burden of disease by building software and data products based on a foundation of health data. Their Healthcare MapTM captures the experiences of more than 320 million Americans (de-identified) as they move through the healthcare system. As they grew, they needed to evolve our infrastructure to reduce costs, scale access, improve engineering productivity, and improve resource efficiency.

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FloodMapp Leverages AWS for Real-Time Inundation Flood Mapping to Save Lives and Assets

FloodMapp is a world-first flood modelling solution, purpose-built for flood forecasting and early warning. Aimed at improving safety and preventing damage, FloodMapp provides highly accurate, real-time, property-specific, and dynamic flood inundation and depth insights for businesses exposed to flooding. It is 10,000 faster and 200 higher resolution than traditional models in an emergency response setting. Here’s how it works.

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