Tag: AWS Fargate

Orbital Sidekick (OSK) uses advanced satellite technology and data analytics to help the energy industry protect pipelines and make them less vulnerable to risks such as leaks, contamination, and damage caused by construction and natural disasters. OSK uses compute and analytics services from AWS to power the scalable OSK data pipeline and imagery storage solution in order to persistently monitor tens of thousands of miles of pipeline energy infrastructure and deliver real-time, actionable insights to customers.

In early 2020, the Norton Police Department’s (NPD) on-premises, legacy system, failed them for the last time. Lifesaving services were down. To revive them, NPD made the decision to go live on AWS Partner SOMA Global’s public safety platform—six months ahead of the scheduled cutover date. Despite the early deployment, the SOMA platform exceeded expectations, making sure critical emergency call-taking and dispatching continued. Using SOMA also helped NPD cut costs and save time. Read on to learn how the NPD found a successful partnership with SOMA Global in their time of need.

SkillsFuture Singapore (SSG), a statutory board under the Ministry of Education (MOE), aims to promote a culture of lifelong learning in Singapore and strengthen the country’s ecosystem of industry-relevant training and adult education. SSG provides access to high quality, industry-relevant training, and jobs and skills insights. To power their digital training portal and make sure every Singaporean has access to training resources, education opportunities, and more, SSG uses AWS.

Moodle is a popular open source learning management system (LMS). Many education institutions are deploying and running Moodle on a physical hardware or virtual machine (VM) environment. They are looking to improve the scalability of their Moodle application to simplify operations and monitoring, and also optimize operating costs. One way to approach this is to use containers technology. In this blog post, learn how to deploy and run Moodle using serverless containers technology on AWS.

In mid-February of 2022, the US federal government began planning the return-to-office after the COVID-19 pandemic. The US Department of Justice (DOJ) Tax Division needed to quickly build and launch a telework authorization application by April 1, which would help their more than 500 attorneys, paralegals, and administrative personnel request a hybrid work arrangement—all while keeping sensitive information compliant and secure. To do this, the DOJ Tax Division worked with AWS to build an enterprise-level telework approval application in less than two months, before the Division’s re-entry in mid-April of 2022.

Electronic notifications of patient events are a vital mechanism for care providers to improve care coordination and promote appropriate follow-up care in a timely manner. This post shows how a combination of Amazon Web Services (AWS) technologies, like AWS Lambda, Amazon Comprehend Medical, and AWS Fargate, can effectively manage and deliver actionable data to help healthcare customers deliver electronic notifications in a secure and efficient way.

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.

COVID-19 highlighted the existing shortage in personnel within healthcare and is now challenging many hospitals with high staff turnover and sick leave. Planerio created workforce management solutions that help healthcare organizations modernize their workforce administration. Their shift planning software uses artificial intelligence (AI) and takes into account a range of planning variables such as employee qualifications and availabilities, employee preferences and requests, requirements of different shifts and workplaces, legal regulations and tariffs, and more.

The Government of Canada (GC) set ambitious goals at the onset of COVID-19. One goal: to offer a mobile app to notify its users of possible exposures before symptoms appear in a way that wouldn’t jeopardize their privacy. In July, the GC released the COVID Alert app, an exposure notification application. COVID Alert doesn’t require users to enter—nor does it obtain from the mobile device—any personally identifiable information (PII) and doesn’t use location tracking. Let’s take a look at COVID Alert app’s cloud-based architecture and how the app is helping slow the spread of COVID-19, and helping keep Canadians safe while protecting privacy.

The cloud can help researchers process complex workloads, store and analyze enormous amounts of data, collaborate globally, and accelerate research and innovation. For research IT, Amazon Web Services (AWS) can help build scalable, cost-effective, and flexible environments while still maintaining the governance and guardrails for security and compliance. Following best practices, AWS allows for centralized management of resources, improved security and compliance of research workloads, and can save costs and accelerate innovation. What are some common questions from research IT customers?