Tag: Amazon VPC

At the Baylor College of Medicine Human Genome Sequencing Center (BCM HGSC), we aim to advance precision medicine and research in genomics. In that effort, we joined the ambitious All of Us Research Program funded by the National Institutes of Health (NIH) to help deliver genomic data to over one million individuals across the United States. In early 2019, we estimated that processing whole genome samples for this megaproject would imply a scale-up of over four times the production workload of our center. We used AWS to support our new pipeline demands, which saved time, reduced costs, and created new opportunities for future development.

This post aims to provide a summary of all the currently disclosed Apache Log4j issues as well as important resources that Amazon Web Services (AWS) has released to help our customers and partners limit any risks posed by these issues.

In the Greater Stockholm Area, SL (Stockholm Public Transport) is responsible for public transport services for more than three million citizens. SL is transforming their ticketing system with a new, “future-proof” alternative built and managed in-house. This major digital transformation project, built on the Amazon Web Services (AWS) Cloud and using microservices, is currently being rolled out across the city. The new ticketing system is an integral part of SL’s commitment to make sure everyone who lives, works in, or visits Stockholm, “has access to well-developed, easily accessible and reliable public transport.”

Terabytes of Earth Observation (EO) data are collected each day, quickly leading to petabyte-scale datasets. By bringing these datasets to the cloud, users can use the compute and analytics resources of the cloud to reliably scale with growing needs. In this post, we show you how to set up a Pangeo solution with Kubernetes, Dask, and Jupyter notebooks step-by-step on Amazon Web Services (AWS), to automatically scale cloud compute resources and parallelize workloads across multiple Dask worker nodes.

Several smart cities use FIWARE, an open source framework supporting the development of smart solutions. FIWARE leverages sensing data from Internet of Things (IoT) devices, then collects, stores, and analyzes data with an API call. One FIWARE component, Orion Context Broker, gathers context information from diverse sources such as mobile apps, IoT devices, and social networking services, and manages the lifecycle of this context information, from registrations, updates, queries, and subscriptions. In this blog post, we address building Orion Context Broker on AWS. Learn how to deploy Orion Context Broker and Cygnus on AWS with AWS Cloud Development Kit (AWS CDK) and Docker Compose quickly.

According to the National Low Income Housing Coalition (NLIHC), the US has a shortage of 6.8 million rental homes for low-income renters. Many communities have implemented rent registration and assistance programs to preserve affordability and prevent displacement. Amazon Web Services (AWS) customers and partners are leveraging the cloud to monitor the availability of rental units in real time to support their work.

AWS Application Migration Service (MGN) is a highly automated lift-and-shift solution, which works by replicating your on-premises (physical or virtual) and/or cloud servers into your AWS account. When you’re ready, AWS MGN automatically converts and launches your servers on AWS so you can quickly benefit from the cost savings, productivity, resilience, and agility of the cloud. This guide teaches you how to migrate a content management system platform (CMS), based on an example with WordPress, running on a simulated on-premises environment to AWS Cloud, using MGN.

Moving to AWS helped The University of the West Indies, Open Campus (UWIOC) improve performance of systems and operational efficiency while optimizing costs. Learn how UWIOC migrated more than 70 virtual machines, 10 applications, and five networks, plus their Moodle learning management system (LMS) and the UWIOC website, while saving 50 percent total cost of ownership along the way.

Even before the pandemic, many people were rent burdened, with a quarter of renters paying more than half their income on rent. US Congress approved two bills containing $45 billion for emergency rental assistance programs (ERAP) that states and local governments can use to support people in need. Distributing these funds quickly and efficiently requires local agencies to rapidly design and deploy new engagement models, programs, and workflows that are easy to use, that can quickly scale up to meet demand, and are flexible enough to adjust to changes in federal and local requirements. Learn how these AWS customers and partners are leveraging the cloud to quickly launch and distribute benefit assistance programs like emergency rental assistance.

AWS Partner ITZ Data, with support from UNICEF and the Canadian Embassy in Guatemala, helped Ministerio de Educación de Guatemala launch Mineduc Digital—the country’s first online platform where students can access digital self-study guides from any device connected to the internet. The Ministry implemented the solution in less than two months, paving the way for the digital transformation of their education system. The solution was built on AWS.