Category: Networking & Content Delivery

Public sector organizations worldwide face a common challenge: processing an ever-growing volume of document-heavy applications across various services. From naturalization procedures to asylum applications and university admissions, many crucial processes still rely on manual or partially manual methods, leading to significant backlogs, extended processing times, and increased costs. This post explores how Amazon Bedrock can be used to address these challenges, focusing on streamlining naturalization applications.

In 2019, Pennsylvania State University (Penn State) began looking for a better way to meet the needs of its digital-native student population—specifically, a seamless way to connect students with on-campus resources. Seeking to create a personalized mobile app experience, Penn State partnered with Modo Labs, an educational technology company (EdTech) offering a no-code app-building platform powered by Amazon Web Services (AWS). The result of this collaboration was Penn State Go, an all-in-one platform that quickly connects students to vital resources and services.

The National Healthcare Group (NHG) is a leader in public healthcare in Singapore and is recognized for delivering high-value patient care. Its clinical services are provided through an integrated system of polyclinics, acute care tertiary hospitals, community hospitals, national specialty centers, and community-based care centers. Read this post to learn how NHG has collaborated with Amazon Web Services (AWS) to develop an intuitive and engaging mobile application called the NHG Cares App, which engages residents and spurs them to take charge of their health through personalized care plans, wellness coaching, health and social care programs, digital health education resources, and many other healthcare services.

The Generative AI Sandbox on AWS, powered by Amazon Bedrock Studio, provides a secure, governed, and isolated environment for organizations to explore the power of large language models (LLMs) and other generative artificial intelligence capabilities. Bedrock Studio users can test different LLMs side by side to understand which ones best suit their specific use cases: from drafting policy documents to analyzing public feedback, or creating educational content.

Customers with sensitive hybrid workloads can take advantage of an additional security feature available in Amazon Web Services (AWS) Direct Connect dedicated connections: MACsec encryption (IEEE 802.1AE). In this post, we explore how Direct Connect can handle architectural changes, such as adding or isolating different networks. We also cover adding an additional account boundary for security purposes, and how customers can move their Direct Connect connection to that new account.

Many South African institutions of higher learning are suffering from underfunding, which affects their ability to remediate these issues. Students in South Africa face numerous challenges as well. Statistics from StatsSA report a 45.5 percent unemployment rate among young individuals (aged 15–34 years). And limited educational opportunities and economic disadvantages are the primary factors driving elevated rates of unemployment. This post highlights the impact that reliable and efficient education systems can have on reducing the challenges facing higher education in South Africa.

In today’s digital world, ensuring the security of information is essential. One common scenario where data security is crucial is when files from external sources are received by an organization. While Amazon Simple Storage Service (Amazon S3) provides robust security features like the default encryption of all uploaded files, there are scenarios where it’s important to ensure that the incoming files are free from any kind of malware, such as viruses, before they are processed or stored inside the organization. Read this post to learn more.

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.