Category: AWS CloudFormation

Digital engineering fundamentally relies on integrating data across model structures by using a digital thread – an underlying framework for integrating data from across traditionally siloed functions that create a consolidated view of the system’s data throughout its lifecycle. The cloud is integral to digital engineering by supporting collaboration across geographically dispersed organizations, automating workflows for data connectivity and trade space analysis in a reliable, scalable, and cost-effective manner. This post describes how HAQM Web Services (AWS) Partner General Dynamics Information Technology (GDIT) has used digital engineering in combination with secure and scalable AWS services, to deliver secure IT systems to a large defense program.

Chaos engineering, often misunderstood as intentionally breaking the production environment, aligns with the HAQM Web Services (AWS) Well-Architected Reliability pillar. Its purpose is to methodically simulate real-world disruptions in a controlled manner, spanning service providers, infrastructure, workloads, and individual components. In this blog post, we show how Pearson PLC, an AWS education technology (EdTech) customer, successfully implemented resilient architectures through chaos engineering using AWS Fault Injection Service (FIS).

The Association of Schools and Programs of Public Health (ASPPH) — a nonprofit association with a vision for improved health and well-being for everyone, everywhere — partnered with HAQM Web Services (AWS) Professional Services (AWS ProServe) to move their curated data to a managed data lake on AWS. In this blog post, we share how ASPPH and AWS designed and built the data lake and the results of moving to a modern, scalable data architecture.

In the digital age, universities face increasing cyber threats that put valuable data at risk. The University of New South Wales (UNSW) is taking proactive measures to address this growing concern. Read this blog post to learn how UNSW is collaborating with HAQM Web Services (AWS) to modernize its IT infrastructure and bolster cybersecurity defenses as part of its cloud transformation program.

On March 28, HAQM Web Services (AWS) will release a new version of the AWS Ground Station Agent (agent), which is not compatible with past agent releases. In order to maintain operational continuity of Ground Station environments, agent users must follow the instructions provided in this blog post before upgrading to the March 28 version of the agent.

HAQM Web Services (AWS) Ground Station has many different parameters and options to choose from when creating a contact and setting up data delivery. For this reason, it is advised that infrastructure as code (IaC) is used. This post is the first of a two-part tutorial that provides an overview of the resources required to create AWS CloudFormation templates for Digital Intermediate Frequency (DigIF) workloads, using AWS Ground Station to transmit data between the satellite and AWS Cloud environment.

Credit unions face unique security, regulatory, and compliance obligations. These requirements mean that a sound cybersecurity posture is essential for credit unions across both cloud workloads and on-premises technology. Read this blog post to learn how HAQM Web Services (AWS) can help credit unions prepare for audits, assess security posture, and produce documentation for state or federal regulators.

Compliance is essential, but ensuring compliance in the cloud with various regulations and standards can be challenging, especially for public sector organizations. The requirements are highly dynamic, constantly evolving, and they vary across countries. Read this blog post to learn about the HAQM Web Services (AWS) resources that can help customers meet compliance requirements, reduce their time and effort, and focus on core business objectives.

Many organizations perform direct mailings, designed to support fundraising or assist with other efforts to help further the organization’s mission. Direct mailing workflows can use everything from a Microsoft Word mail merge to utilizing a third-party mailing provider. By leveraging the power of the cloud, organizations can take advantage of capabilities that might otherwise be out of reach, like customized personalization at scale. In this walkthrough, learn how organizations can utilize machine learning (ML) personalization techniques with AWS to help drive better outcomes on their direct mailing efforts.

At AWS, many public sector customers operate fleets of vehicles (e.g. emergency response, public transportation) that generate location data, which is ultimately stored in a data lake. These customers frequently ask how they can quickly visualize this data and extract insights that can help them optimize how they operate their vehicle fleets. In this post, learn how to use HAQM Athena and HAQM Location Service to perform ad hoc reverse geocoding on a notional dataset of vehicle location history, and visualize the results on an HAQM QuickSight map.