AWS Startups Blog

Tag: Migration Story

AWS Migration Strategy for VirtualHealth’s Leading Healthcare SaaS Platform

VirtualHealth provides a SaaS platform to a number of the largest and most innovative healthcare organizations in the country that empowers care managers to optimally service patient needs. The platform hosts personal health information (PHI), meaning data security and integrity are paramount. Upon a thorough review of the data hosting landscape, they determined that AWS offered a compelling set of value propositions and decided to migrate.

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Onkolyze: Leveraging ML to Offer Personalized Cancer Treatment

The fight against breast cancer has made progress over the past two decades thanks to advances in treatment and screening. But while mortality rates from the disease have fallen for women over 50, they remain frustratingly steady for younger women. Onkolyze, a startup based in Singapore, is hoping to help solve just that problem by applying high-powered AWS GPUs and ML, making early detection much easier.

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A Systematic Approach for Analytics Services Migration from GCP to AWS

In this post, we present a systematic approach to guide customers migrating a few commonly used cloud data analytics services from Google Cloud Platform (GCP) to AWS. Rather than a detailed step-by-step implementation guide for a specific service, the post is intended to provide a holistic view and systematic approach for the migrations of these GCP services to AWS.

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Roadmap Software Startup Aha! Uses Amazon Athena to Ensure Fast Support Responses

Aha! is a leading roadmap software provider, helping more than 400,000 users build products and counting north of 5,000 companies as customers. Founded in 2013 with an entirely distributed team, the company puts customer needs at the heart of its business model. Read how the company was able to drive results by migration to Amazon Athena from BigQuery.

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Emedgene’s Migration to AWS for its AI-based Genomics Insights Platform

Founded in 2015, Emedgene has built an AI-based platform to automatically surface insights from genomics data. Previously, this data would need to be analyzed by genomics experts, of which there are only a few thousand around the world. Emedgene applies machine learning algorithms to generate these insights on the fly, essentially teaching computers how to be genetic researchers.

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Audioburst Featured Image

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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