Tag: Amazon VPC

An Aadhaar number is a 12-digit unique identification number issued by the Unique Identification Authority of India (UIDAI) to every individual in India. Considering the sensitivity of the Aadhaar number and the potential implication of having one’s Aadhaar number compromised, UIDAI mandated the need for all Aadhaar and Aadhaar-related data to be encrypted and stored separately in a secure, access-controlled data repository known as an Aadhaar Data Vault. This blog post explains how government and private entities that collect, process, and store Aadhaar data for various use cases can use AWS CloudHSM from AWS to create an Aadhaar data storage solution that can meet guidelines provided by UIDAI.

The US Office of Management and Budget published M-21-31, a memorandum for federal government agencies to define event logging requirements related to cybersecurity incidents. These guidelines aim to support the detection, investigation, and remediation of cyber incidents on federal information systems. The memorandum defines various event logging (EL) tiers and the log data that must be captured for various log categories. Learn the services from AWS that have been called out explicitly in the memorandum for logging and retention requirements at the EL1 level, and the resources you can use to set up these services to capture the required log data.

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.