Database | AWS Startups Blog

Scaling High-Throughput Genomics Workflows on AWS

Guest post by Tomaz Berisa, Cofounder and CTO at Gencove We have been working hard to scale low-pass sequencing at Gencove and ran into a few computational scalability constraints. This is an overview of how we got around them and the resulting architecture, complete with infrastructure templates and code. Sequencing the first human genome in […]

Combining DynamoDB and Amazon OpenSearch Service with Lambda

Michael Garski, Director of Platform Engineering at Fender Digital, shares why the combination of DynamoDB and AWS Elasticsearch is perfectly suited to Fender Play lesson content.

Engineers from Buzzfeed, Sprinklr and General Assembly Speak at AWS’s New York Summit

In addition to announcing a slew of new products at this year’s Summit New York in New York, AWS invited over a dozen up-and-coming startups to speak during our Startup Lightning Talks program. Participants included everyone from Buzzfeed to General Assembly to shopping site Spring. You can watch the full lineup of speakers below: Buzzfeed Software engineer Justin […]

Introducing the ‘Startup Kit Serverless Workload’

“What’s the easiest way to get started on AWS?” is a common question. Although there are many well established paths to getting started, including using AWS Elastic Beanstalk, serverless computing is a rapidly growing alternative.

Serverless Architectures with Java 8, AWS Lambda, and Amazon DynamoDB — Part 2

By Brent Rabowsky, Startup Solutions Architect, AWS

Serverless Architectures with Java 8, AWS Lambda, and Amazon DynamoDB — Part 1

This post is part 1 of a two-part series. In this post, I focus on data modeling with DynamoDB. I describe an example use case to demonstrate alternative ways of modeling the same data, and the pros and cons of each approach. Proper data modeling is an essential prerequisite to beginning the development of a back end service.