AWS Public Sector Blog

Tag: Amazon EventBridge

AWS branded background design with text overlay that says "Reduce IT costs by implementing automatic shutdown for Amazon EC2 instances"

Reduce IT costs by implementing automatic shutdown for Amazon EC2 instances

To remain viable and continue to fulfill their mission, educational institutions are constantly seeking ways to optimize their IT costs while maintaining high-quality services. One often overlooked area for potential savings is the management of cloud resources, particularly Amazon Elastic Compute Cloud (Amazon EC2) instances. Many universities and colleges find themselves facing unexpected costs when EC2 instances are left running during off-peak hours or periods of inactivity. In this post, we explore how higher education customers can implement automatic shutdown mechanisms for EC2 instances, significantly reducing cloud expenses.

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Using AWS for EHDS: A technical guide to building a secure health data platform

In an earlier post, Build secure and scalable data platforms for the European Health Data Space (EHDS) with AWS, we discussed a reference architecture for building secure and scalable data platforms for secondary usage of health data in alignment with the European Health Data Space (EHDS) using Amazon Web Services (AWS). This follow-up post walks you through the technical implementation details for building such federated data governance and analysis platforms using AWS. Whether you are a healthcare organization, technology provider, or systems integrator, this post aims to equip you with the technical knowledge to build a secure data platform for secondary usage of health data in alignment with the EHDS Regulation.

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Strengthen foundation model queries through Amazon Bedrock-Amazon Alexa integration

Today, generative artificial intelligence (AI) is at the core of many of the decisions and technologies businesses across the globe are implementing. The linchpin to ensuring that generative AI is effective depends on the foundation models (FMs) storing the data. To make sure that those FMs are pulling the correct data, Amazon Web Services (AWS) has developed a solution through Amazon Bedrock to generate SQL to answer user questions about the data. The solution was developed to support the Federal Institute of São Paulo (IFSP) and has optimized their decision-making.

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Enhancing resource sharing with AWS Outposts

In this post, we explore how AWS services, open source software, and bespoke source code can help address resource sharing enhancements requested by public sector customers using AWS Outposts. This solution aims to provide greater flexibility, control, and cost management for organizations leveraging Outposts in multi-account environments, specifically focusing on key AWS resources, including Amazon Elastic Compute Cloud (Amazon EC2), Amazon Elastic Block Store (Amazon EBS), and Amazon Simple Storage Service (Amazon S3) on Outposts.

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Simplify satellite contact reporting with the AWS Ground Station contacts dashboard

This post shows how Amazon Web Services (AWS) Ground Station customers can start using the Contacts dashboard for AWS Ground Station solution to fulfill their AWS Ground Station reporting and tracking needs. This solution automatically maps AWS Ground Station contacts to their associated costs and provides a feature-rich dashboard reporting capability.

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University Hospitals Coventry and Warwickshire NHS Trust digitizes and improves patient experience with AWS

Like many healthcare providers, University Hospitals Coventry and Warwickshire (UHCW) NHS Trust, which manages two major hospitals and serves a population of more than one million, has operated with legacy technology that relies heavily on phone calls and manual processes for contacting patients. Recognizing an opportunity to modernize, the Trust linked up with IBM Consulting for an innovative pilot project to digitize patient engagement channels using Amazon Web Services (AWS). Read this post to learn more.

Building a secure and low-code bioinformatics workbench on AWS HealthOmics

Singapore General Hospital (SGH), SingHealth Office of Academic Informatics (OAI), and Amazon Web Services (AWS) collaborated to develop a cost-effective, scalable cloud infrastructure that enables researchers to perform their own analyses on a centrally secured and compliant cloud platform. AWS HealthOmics offers a suite of services that help bioinformaticians, researchers, and scientists to store, query, analyze, and generate insights from genomic and other biological data. Read this post to learn more about the three primary components of HealthOmics used in the solution.

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Reducing transcription costs by 60% using AWS AI/ML services

The process of transcribing video or audio files has traditionally been manual and time-consuming. Beyond the need for accurate and cost-effective transcriptions, attorneys have determined a need for timestamping capabilities, speaker identification, search and replace capabilities, the highlighting of specific words, editing capabilities, and most importantly, shortened turnaround times.To address the need for quicker and more accurate transcription of audiovisual files, the Contra Costa County (CCC) District Attorney’s (DA) Office reached out to Amazon Web Services (AWS) and partnered with AWS Partner ScaleCapacity to develop a solution that would automate the manual transcription process. Read this post to learn more.

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Mitigating inadvertent IPv6 prefix advertisement with AWS automation

As federal agencies migrate to the Trusted Internet Connections (TIC) 3.0 framework, they will use Amazon Web Services (AWS) to exit to the internet, bypassing the TIC network. This transition requires agencies to plan and coordinate migration activities to verify seamless IPv6 connectivity. Agencies need to coordinate advertising their IPv6 prefixes with AWS, using mechanisms like Bring your own IP addresses (BYOIP). The migration process could involve changes in routing policies, firewall rules, and security controls to accommodate the IPv6 prefix changes. Read this post to learn more.

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Using Amazon Timestream and Amazon Location Service to detect transportation route deviations and anomalies

Transit authorities have to maintain the location and schedule of large numbers of vehicle fleets on a daily basis. Most commonly, GPS coordinates are used to track vehicle location and transportation route. GPS coordinates often have anomalies that can contaminate location reporting. Additionally, if a vehicle takes a detour, it will offset public transportation schedules. Both cases impact the riders negatively. Keeping track and getting notified is a challenge. In this post, we look into an anomaly detection mechanism for public transportation using Amazon Web Services (AWS) offerings.