Tag: Amazon EC2

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).

In 2023, the students from Redback Racing at the University of New South Wales (UNSW) wove together their many disciplines of engineering prowess to create their latest cars: RB23 and RB21-D. After developing and going live with their real-time telemetry system on Amazon Web Services (AWS), the team has placed as the highest-ranking Australian squad in the electric vehicle (EV) division of the Australasia Formula SAE competition, placing second overall. Read this post to learn more.

As government organizations transition to Amazon Web Services (AWS), they often seek to maintain operational continuity by using their existing on-premises firewall solutions. Gateway Load Balancer (GWLB) enables seamless integration of these firewall appliances into the AWS architecture, ensuring consistent security policies and minimizing disruptions. This post explores best practices for implementing GWLB to facilitate centralized traffic inspection for both east-west and north-south traffic flows.

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.

In Modernizing tax systems with AWS, we briefly touched upon infrastructure and application modernization using microservices and serverless architectures. We hear from multiple tax and labor agencies about their desire to move to API-based architectures and adopt new technologies. In this post, we dive deeper into these areas and discuss benefits, approaches, and best practices for building modern tax and unemployment insurance (UI) applications using microservices.

Where will the next pandemic-causing virus come from? The answer to this pressing question is locked away in the immense diversity of DNA carried around by life on Earth. A research team located at the Institut Pasteur, a Paris-based leading international research organization, plans to break into that vault of knowledge with IndexThePlanet. Read this post to learn more about the project, which aims to index the DNA of all living organisms, identify previously unknown viruses species, and create a DNA search engine.

Amazon Web Services (AWS) Wickr is an end-to-end encrypted messaging and collaboration service with features designed to keep internal and external communications secure, private, and compliant. In this post, we present an architecture that uses the Wickr messaging solution for protected communication with a generative AI backend system, which uses an existing open source project: the AWS GenAI Chatbot. Read this post to learn more.

Pathologists have been looking at morphological patterns in patients’ tissue sections highlighted by hematoxylin and eosin (H&E) staining for more than a century. However, as the pathology transformation from glass slides to digital imaging gains momentum, it opens the door to artificial intelligence (AI) tools to complement expert assessment with quantitative measurements to enable data-driven medicine. Yet, challenges remain with handling digital imaging files such as storage and pre-processing prior to application of AI tools. Genomics England have utilised Amazon Web Services (AWS) and tools such as Amazon SageMaker to demonstrate how to prepare digital pathology images for research and the development of machine learning models.

Credit unions play a crucial role in communities by providing a diverse range of financial services driven by their members’ needs. These services, supported by core banking applications, form the backbone of credit union operations. Traditionally, credit unions use legacy systems for their core banking applications, such as lending, payments, and deposits. But these systems are monolithic, expensive, and lack open architecture, impacting credit unions’ abilities to deploy changes based on market demands. In this digital age, cloud computing offers a transformative solution, and as we will explain in this post, Amazon Web Services (AWS) stands at the forefront.

Nonprofit organizations are typically frugal and responsible. They strive to improve the human condition in innumerable ways, yet they cannot raise capital like a commercial organization, so they have to make the most of the resources they have. They apply that frugal approach to IT: they build and operate only what they need to pursue their mission, and constantly innovate both to meet mission objectives and optimize cost. Even with these constraints, nonprofits aspire to solve some of the world’s biggest problems, and often, they use innovative IT architectures on Amazon Web Services (AWS) to do it.