Category: Developer Tools

Healthcare organization Dr. B launched to get as many COVID-19 vaccines into as many arms as possible. To achieve its mission to make access to care—specifically the COVID-19 vaccine—more efficient and equitable, the company created a serverless solution built on Amazon Web Services (AWS).   

The AWS Cloud gives you access to virtually unlimited infrastructure suitable for high performance computing (HPC) workloads. With HPC, you can remove long queues and waiting times so you don’t have to choose availability over performance. In this technical guide, learn how to use AWS ParallelCluster to set up and manage an HPC cluster in a flexible, elastic, and repeatable way.

Vaccine demand brought unprecedented load to the launch of Texas A&M Health’s vaccination sign-up site. The Texas A&M Health team used AWS to develop a solution to reduce outages and errors, and scale REDCap to get vaccines to Texans.

To help protect investments on ML, government organizations can securely store ML source code. Storing Amazon SageMaker Studio code in an AWS CodeCommit repository enables you to keep them as standalone documents to reuse in the future. SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps required to prepare data and build, train, and deploy models. Read on to learn the steps to configure a git-based repository on CodeCommit to manage ML code developed with SageMaker.

Amazon Web Services (AWS) launched Amazon CodeGuru (Preview), a machine learning service for automated code reviews and application performance recommendations, at AWS re:Invent 2019. The new service helps development teams find code defects or performance issues and gives recommendations to improve code quality, saving time and expense.

According to a survey of attendees at the AWS DC Public Sector Summit in 2019, 74% of government IT professionals believe their agencies hold onto data centers longer than they should. Monolithic methods of deployment impact speed, performance, and cost. With microservices, customers can break their monoliths into smaller business units, making it easier to migrate and manage systems in the cloud. This post outlines how customers can migrate from on-premises data centers to the cloud and break away from monolithic methods of deployment using microservices and containers.

What if someone in a hospital room or public train station suddenly falls due to a stroke or other health issue? An automated monitoring system like AWS DeepLens, a deep learning-enabled video camera for developers, could detect such falls and contact emergency services in a timely manner. Using AWS DeepLens, I created a solution.

To help solve a few challenges I faced with my family, including the need to track the location of a child, I needed a serverless global positioning system (GPS) monitoring solution. Commercial geographic monitoring GPS solutions are not cost-effective because of the cost of digital map licenses from third parties and running servers around the clock. Existing GPS systems work with proprietary GPS devices that lock-in the users’ vendors’ devices. My solution? Build my own serverless GPS monitoring and alerting solution.

Amazon Web Services (AWS) knows how to run .NET applications, and provides .NET developers with resources for building, testing, deploying, and running their .NET applications. Watch our on-demand webinars to learn about migrating and building serverless or container-based apps on AWS. For .NET developers new to AWS, it is important to know about the tools, […]