Category: Amazon RDS

Within a decade of moving to the cloud, Cornell University in Ithaca, New York, was managing 260 accounts—160 of them on Amazon Web Services (AWS)—at an annual spend of $4 million. As part of what they called a “cloudification initiative,” there had been a major push in the early days to capitalize on opportunities to […]

In a previous post on the Public Sector Blog, we covered six key strategies in which Amazon Web Services (AWS) empowers AWS Partners to expand their platforms globally to reach more customers while meeting requirements such as data residency and sovereignty. These ranged from using AWS Global Infrastructure to AWS services that make it easier for […]

In this post, we explore how Service NSW used AWS services to optimize its backup strategies while maintaining strict compliance requirements. By moving from a straightforward turnkey solution to a sophisticated, tiered approach, Service NSW achieved significant cost savings while enhancing its disaster recovery capabilities. The organization’s innovative use of automation for backup testing sets a new standard for efficient backup validation in large-scale database environments.

Learning Upgrade worked with AWS to modernize its platform and ultimately migrated fully to the cloud. This strategic shift empowered Learning Upgrade to scale globally, respond faster to new opportunities, and better serve learners in dynamic, resource-constrained environments. Read this post to learn more.

In this blog, we discuss how government agencies can evaluate and implement AWS alternatives to traditional Oracle Real Application Clusters (RAC) deployments while maintaining mission-critical availability.

In this post, we describe how AWS Partner CIMAR’s medical image management platform is enabling the rapid roll-out, scaling, and operation of the National Health Service (NHS) England’s national lung cancer program, connecting 124 acute NHS trusts and multiple mobile scanning units.

Organizations require solutions for real time or near real time dashboards that can be provided to their customers without impacting their database performance or service level agreements (SLAs) to their end users. In this post, we showcase the integration of Amazon Web Services (AWS) capabilities to present an end-to-end architecture for this data flow.

Learn how Benchmark Education Company worked closely with Amazon Web Services (AWS) to build a grading tool powered by generative artificial intelligence (AI) to help teachers dramatically reduce the time they spend grading open-ended assessments—while maintaining accuracy, privacy, and trust.

In this post, we explore how generative artificial intelligence (AI), powered by services such as Amazon Bedrock and Amazon SageMaker, can be harnessed to meet the unique challenges of AWS GovCloud (US). We highlight use cases that demonstrate the potential of generative AI to enhance efficiency, automate workflows, and extract insights—all within a secure, compliant framework.

This post discusses how FIA Tech, a leading technology provider for the exchange traded derivatives (ETD) industry, built the Trade Data Network (TDN) on Amazon Web Services (AWS). TDN is an industry initiative that provides a shared ledger of trading information to address the fragmentation and lack of transparency in ETD post-trade processing. The TDN initiative currently includes 17 banks/brokers and 40 investment managers and hedge funds with combined assets under management of more than $34 trillion.