Category: Regions

This post addresses eight common misconceptions about cloud computing held by Canadian public sector organizations. It covers cloud security, cost savings, value beyond expenses, and cloud providers’ investments in Canada. The insights shared will equip public sector leaders to make informed decisions and leverage cloud computing’s potential.

The Amazon Web Services (AWS) Global Cloud Infrastructure is a secure, extensive, and reliable cloud platform, offering more than 200 fully featured services from data centers globally. When you want to distribute your applications globally, closer to your end users with single-digit millisecond latency, AWS offers the cloud infrastructure you require, whenever and wherever. In this post, we examine the part of the Global Cloud Infrastructure located in Canada and discuss the architecture of its AWS network backbone connectivity.

The potential of open data to transform governance and public services is immense, but realizing this potential requires overcoming common obstacles. In this post, we will explore best practices and solutions for Canadian public sector organizations seeking to use the cloud for open data, specifically examining how Amazon Web Services (AWS) can enable open data success.

The vision of Singapore’s National Library Board goes beyond making information accessible; the NLB is focused on bringing the richness of the nation’s cultural heritage right to the palm of your hand. As part of its LAB25 (Libraries and Archives Blueprint 2025) Singapore Storytellers initiative, the NLB seeks to nurture a stronger appreciation and understanding of the Singapore experience. To support this, Amazon Web Services (AWS) collaborated with Singapore-based NCS, a leading technology services firm, to create an interactive augmented reality (AR) web application prototype on the AWS Cloud.

Amazon SageMaker is a fully managed machine learning (ML) service that provides various capabilities, including Jupyter Notebook instances. While RStudio, a popular integrated development environment (IDE) for R, is available as a managed service in Amazon Web Services (AWS) commercial Regions, it’s currently not offered in AWS GovCloud (US) Regions. Read this post, however, to learn how you can use SageMaker notebook instances with the R kernel to perform data analytics tasks in AWS GovCloud (US) Regions.

Amazon Web Services (AWS) is supporting AirGradient, a manufacturer of affordable and accurate air quality monitors, to launch an air quality tracking program with Mechai Bamboo School in Thailand. The program—which will see 100 monitors donated to the school and its partners, part of a wider donation of 200 monitors from AWS to non-government organisations across Asia via AirGradient—will teach students about the science of air quality, the consequences of air pollution, and how to use the monitors.

The Amazon Web Services (AWS) Resilience Hub provides you with a single place to define your resilience goals, assess your resilience posture against those goals, and implement recommendations for improvement. In this post, we discuss how we can track the resiliency of software applications and infrastructure using AWS Resilience Hub to provide “always available” services and monitor changes to the application availability.

The European Health Data Space (EHDS) will establish a common framework and infrastructure for the use of health data for research, innovation, policy-making, and regulatory activities in the European Union (EU). It will also create common standards and practices enabling EU citizens to better access, control, and share their electronic personal health data. Read this post to learn why Amazon Web Services (AWS) welcomes the EHDS as an important step towards unleashing the vast potential of health data to benefit citizens across Europe and beyond.

Amazon Web Services (AWS) customers, technology leaders, and government agency CIOs continually balance risk and reward to accomplish many things by using AWS GovCloud (US). They work to transform citizen experiences, save taxpayers money, support sustainable growth, expand market presence, modernize legacy systems, increase security, drive efficiencies, strengthen brand equity, and reduce environmental impact.

Government agencies are increasingly using large language models (LLMs) powered by generative artificial intelligence (AI) to extract valuable insights from their data in the Amazon Web Services (AWS) GovCloud (US) Regions. In this guide, we walk you through the process of hosting LLMs on Amazon Elastic Compute Cloud (Amazon EC2) instances, using the Hugging Face Text Generation Inference (TGI) Container (TGI) for serving custom LLMs.