Category: Amazon S3 Glacier

Federal agencies can use Amazon Web Services (AWS) to meet Trusted Internet Connections (TIC) 3.0 requirements. To facilitate this, AWS has published detailed architectural overlays that demonstrate how to effectively implement TIC 3.0 guidelines within AWS deployments. AWS Verified Access (AVA) is a cloud-based service that enables secure access to applications without requiring the use of a virtual private network (VPN). It evaluates each application request and gives users access to each application only when they meet the specified security requirements. AVA supports TIC 3.0 requirements in the areas of configuration management, centralized log management, strong authentication features, resilience, and policy enforcement. Read this post to learn more.

King Hamad University Hospital (KHUH) and Bahrain Oncology Center is a 600-bed-hospital in Bahrain. Over the years, KHUH faced constraints with exponential growth of their on-premise storage needs, particularly with the medical images stored by their picture archiving and communication system (PACS). KHUH turned to AWS to develop a cost- and time-effective long-term storage solution, without making changes to their existing PACS, that reduced storage costs by 40%.

Customer managed encryption keys are a common architecture requirement within highly regulated workloads. This post demonstrates how to satisfy this requirement within Amazon Simple Storage Service (Amazon S3), including Amazon S3 Glacier. We also clarify some common points of confusion and demonstrate how objects can be uploaded directly to Amazon S3 Glacier via Amazon S3, which can help meet regulatory requirements as well as potentially save budget.

Scientists at NC State University’s North Carolina Institute for Climate Studies (NCICS) work with large datasets and complex computational analysis. Traditionally, they did their work using on-premises computational resources. As different projects were stretching the limits of those systems, NCICS decided to explore cloud computing. As part of the Amazon Sustainability Data Initiative, we invited Jessica Mathews, Jared Rennie, and Tom Maycock to share what they learned from using AWS for climate research. As they considered exploring the cloud to support their work, the idea of leaving the comfort of the local environment was a bit scary. And they had questions: How much will it cost? What does it take to deploy processing to the cloud? Will it be faster? Will the results match what they were getting with their own systems? Here is their story and what they learned.