Tag: Amazon ECR

Malcolm is a powerful, open source network traffic analysis tool suite created by the Cybersecurity and Infrastructure Security Agency (CISA) to aid public and private sector customers in improving their network security monitoring and incident response. Malcolm is most commonly used for incident response, network monitoring, threat hunting, training, and research, but can be adapted for other use cases. In this post, we introduce you to the key components of Malcolm on Amazon Elastic Kubernetes Service (Amazon EKS).

The 2024 version of the United Nations (UN) annual report “The State of Food Security and Nutrition in the World” found that about 29.6 percent of the global population, or about 2.4 billion people, were moderately or severely food insecure in 2022, meaning they did not have adequate access to food. Food security can be caused by a number of factors, including poverty, inflationary factors, violent conflict, and the effects of climate change. In this post, we demonstrate how generative artificial intelligence (AI) can help organizations better understand the food security crisis.

Application modernization helps public sector customers innovate faster with resilient, highly available, and scalable applications. Serverless and containers services support customers in accelerating time to market and migrating existing applications to AWS, and they can decrease an organization’s total cost of ownership (TCO). In this blog post, learn how public sector customers use AWS serverless and containers technology to modernize their applications.

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.

Computational biology is undergoing a revolution. However, the analysis of single cells is a hard problem to solve. Standard statistical techniques used in genomic analysis fail to capture the complexity present in single-cell datasets. Open Problems in Single-Cell Analysis is a community-driven effort using AWS to drive the development of novel methods that leverage the power of single-cell data.

On February 9, a new object successfully began to orbit Mars: an uncrewed spacecraft called the Hope Probe. The mission has already returned the first image of Mars, taken by Hope’s Emirates eXploration Imager from an altitude of 24,700 km. Led by the Mohammed Bin Rashid Space Centre (MBRSC), the Hope Probe is the first interplanetary mission for the United Arab Emirates, the fifth country in history to reach the red planet. It will also be the first spacecraft to capture a complete picture of the Martian atmosphere and its layers during different times of the day and different seasons for one complete Martian year. Once data transmitted by the Hope Probe reaches the scientific teams on Earth, MBRSC will use AWS advanced technologies to process and analyze the vast amounts of data and imagery to help researchers better understand the Martian atmosphere and its layers.

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 COVID-19 pandemic is driving a parallel “infodemic”: the rapid spread of competing and often harmful narratives about the virus. Social media plays a central role in this infodemic, serving as a forum for the spread and evolution of theories and beliefs with origins in broadcast, print, online news, blogs, and other digital arenas. As the COVID-19 infodemic grew, Novetta used AWS to create Rapid Narrative Analysis (RNA), a solution that achieves accuracy by using human expertise at critical stages of analysis while using machine learning (ML) models to rapidly diagnose the severity of the spread of key narratives at a speed needed to take effective action.

Governments, like the state government of California, are in the midst of a transition to a new way of delivering vital information, services and programs using technology and the cloud. Government organizations are adopting approaches pioneered in the technology industry, including user-centered design, agile development, data science, modular contracting, and the use of modern technology platforms. Many of these governments, like the state of California, are using Amazon Web Services (AWS) to respond quickly and scale to battle unprecedented challenges, like COVID-19, and help them quickly make decisions about how to protect their constituents.