Category: Amazon CloudWatch

Learn more about the Digital Research and Curation Center (DRCC), the group within the Sheridan Libraries that builds and manages digital infrastructure for open scholarship, migrated DSpace to the cloud with Amazon Web Services (AWS).

In this post, we explore how federal agencies can accelerate modernization, improve cybersecurity incident response, and support continuous compliance monitoring using Datadog’s FedRAMP High authorized observability and security platform.

Universities across the UK conduct tens of thousands of online interviews and exams each year. During a single admissions intake, over 20,000 video interviews were recorded for international applicants, with 1.3% of sessions showing confirmed fraud, including 0.15% involving deepfakes. A survey by the International Center for Academic Integrity (ICAI) found that 2% of students […]

Federal agencies operating in the cloud face a challenge with Trusted Internet Connection 2.0. All internet traffic must backhaul through on-premises infrastructure, creating bottlenecks that limit cloud adoption and degrade performance. The TIC 3.0 initiative addresses this by enabling agencies to implement security controls directly in the cloud, providing secure internet connectivity for federal workloads, […]

Ivanti’s 2025 State of Cybersecurity Report revealed that only one in three organizations feel prepared to protect themselves from software supply chain threats. According to Cowbell’s Cyber Roundup Report 2024, with respect to supply chain threats, operating systems pose the greatest immediate threat as “they form the foundational layer of an organization’s entire IT infrastructure.” […]

Established by the Physician Payments Sunshine Act of 2010 and expanded by the SUPPORT Act of 2018, the Open Payments program creates public transparency around financial relationships between healthcare providers and pharmaceutical companies. When faced with aging infrastructure and rising costs, the Centers for Medicare & Medicaid Services (CMS) needed to modernize the statutorily mandated […]

In this post, we introduce AWS observability services, explore best practices for observability, and explain how to achieve them.

The University of Minnesota Athletics Department had access to a lot of data, but lacked a way to bring it together. Even answering simple questions, like how many tickets were sold and who received them, required hours of cross-platform data wrangling. In less than a year, the department replaced that complexity with a scalable data lake built on AWS. The new data architecture—which gives the department full visibility into ticketing transactions and digital behavior—was built by a small internal team, without requiring a complete overhaul of their existing systems.

Scientists at the National Institutes of Health (NIH) recently uncovered how a structure known as low-density lipoprotein (LDL), which transports “bad” cholesterol through the bloodstream, interacts with its receptor molecule to enter cells—information that has eluded researchers for decades. The findings could lead to more personalized treatments for cardiovascular disease and were enabled by cutting-edge high performance computing (HPC) infrastructure from AWS. Read this post to learn more.

In recent years, public sector organizations have found success running their scientific data processing workloads on Amazon Web Services. As the number of workloads increase with the massive data volume and complex scientific simulations, organizations are looking for ways to optimize cost while maintaining research momentum. Amazon EC2 Spot Instances presents a compelling option to run unused Amazon Elastic Compute Cloud (Amazon EC2) capacity with an up to 90 percent discount compared to On-Demand prices. However, the intermittent nature of Spot Instances often requires careful consideration, especially when handling time-sensitive mission-critical workloads. In this post, we discuss how organizations can effectively identify opportunities to use Spot Instances and Amazon Q Business to develop an enhanced Spot Instance analysis.