Category: Amazon EC2

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 […]

This blog post provides a comprehensive overview of the custom large language model (LLM) development lifecycle for public sector use, emphasizing scientific methodology and measurable outcomes.

The Coupon Bureau (TCB) is modernizing how coupons work in the US with the first universal digital coupon standard: AI (8112). To make this possible, TCB needed to build a system that could support billions of coupon transactions in real time, integrate seamlessly with hundreds of providers and retailers, and deliver mission-critical reliability. By using AWS services, TCB designed a cloud-based architecture that processes high-volume events, delivers real-time webhook notifications, provides data recovery during outages, and scales seamlessly as adoption grows.

AWS partners with providers of innovative solutions such as MemVerge, an AWS Partner Network (APN) Advanced Technology Partner, whose Memory Machine Batch (MMBatch) technology complements AWS Batch by providing advanced checkpointing capabilities for EC2 Spot Instances. In this post, we look at how MemVerge’s technology can overcome the challenges of interrupted pipelines by enabling pipelines that were interrupted mid task to start from where they left off, regardless of Spot Instance reclaims. We’ll also show how MemVerge’s Batch Viewer and proven best practices empower researchers to visualize their workloads, identify bottlenecks, and apply smart strategies that make their pipelines more efficient, resilient, and cloud-optimized.

In this post, we provide step-by-step guidance for deploying Malcolm—an open source network traffic analysis suite—natively on Amazon Elastic Compute Cloud (Amazon EC2), using the on-demand compute, elasticity, and scalability of AWS to eliminate traditional infrastructure overhead. This approach is particularly beneficial for cost-conscious public sector (federal, state, and local), utility, and industrial customers who require network and security monitoring to deliver on their missions.

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 post, we demonstrate how to use the advanced malware detection features of Amazon GuardDuty to uncover malicious and suspicious files compromising your Amazon Elastic Compute Cloud (Amazon EC2) instances. We use the investigative capabilities of Amazon Detective to gain deeper insights into the security event. After the key questions about the security event are addressed, we outline steps to remediate the potentially compromised EC2 instance.

Read this post to learn how Change.org built a next-generation recommender on AWS that turned more awareness into action—boosting petition signatures by 30 percent.

California Credit Union successfully used AWS to enhance its disaster recovery and backup capabilities for its core banking system, Fiserv DNA. This post explores how the credit union overcame challenges, improved its resilience, and set the stage for future innovations in financial services.