Tag: Amazon EKS

In this blog post, learn how companies operating in AWS can design architectures that maximize flexibility so they can support both cloud and on-premises deployment use cases for their satellite imagery processing workloads with minimal modifications. 

Icometrix is a healthcare technology company that supports neurologists in making the correct diagnosis and prognosis for several brain diseases. Hundreds of clinical practices employ icometrix’s artificial intelligence (AI) imaging solutions, powered by Amazon Web Services (AWS), to aid in detecting and treating diseases such as multiple sclerosis and Alzheimer’s.

Read this blog post to learn how the World Bank assesses road infrastructure faster and at less cost by using Alteia data analytics powered by Amazon Web Services (AWS), geospatial imagery, and satellite imagery available on the Registry of Open Data on AWS.

Many public sector customers are interested in building secure, cost-effective, reliable, and highly performant applications. Technologies like containerization and serverless help customers migrate and modernize their applications. In this blog post, learn how public sector customers use offerings from AWS like AWS Lambda, Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Elastic Container Service (Amazon ECS) to build modern applications supporting diverse use cases, including those driven by machine learning (ML) and generative artificial intelligence (AI). If you want to learn more on this topic, please register to attend the webinar series, Build Modern Applications on AWS.

Earlier this year, Eurostat, the statistical office of the European Union (EU), hosted the fourth edition of the European Big Data Hackathon on AWS. During this year’s event, participants were tasked with developing data analytics tools to build an early warning system using data from credit card transactions to alert of sudden changes in the economy relevant for EU policymakers. Learn how Eurostat leveraged the flexibility and scalability of AWS to allow 24 teams across Europe to compete and build a viable early warning system over four days.

Application modernization helps public sector customers innovate faster with resilient, highly available, and scalable applications. Serverless and containers services support customers in accelerating time to market and migrating existing applications to AWS, and they can decrease an organization’s total cost of ownership (TCO). In this blog post, learn how public sector customers use AWS serverless and containers technology to modernize their applications.

The Uniformed Services University Health System (USUHS) is the nation’s federal health professions academy, offering a curriculum and educational experience that emphasizes military healthcare, leadership, readiness, and public health. Each year, USUHS holds a training exercise called Operation Gunpowder to help prepare third-year medical students for varying field-care challenges they may encounter during their service. Over the course of the eight weeks prior to the training exercise, AWS collaborated with Deloitte to deliver ancillary system and operational medicine telemedicine best practice training to the participating students. “This is the first time telemed has truly delivered,” reported attending experts in special operations medicine.

Public sector organizations can benefit from containers as they can enable building mission critical applications with better fault tolerance and agility, migrating applications across different platforms and in modernizing legacy applications. To help partners build containerized applications on behalf of public sector organizations, AWS is launching the AWS Containers Rapid Adoption Assistance (CRAA) initiative.

Terabytes of Earth Observation (EO) data are collected each day, quickly leading to petabyte-scale datasets. By bringing these datasets to the cloud, users can use the compute and analytics resources of the cloud to reliably scale with growing needs. In this post, we show you how to set up a Pangeo solution with Kubernetes, Dask, and Jupyter notebooks step-by-step on Amazon Web Services (AWS), to automatically scale cloud compute resources and parallelize workloads across multiple Dask worker nodes.

Satellogic, a leader in high-resolution Earth observation (EO) data collection, is creating a live catalog of Earth and delivering daily updates to create a complete picture of our planet for decision makers so that they can tackle some of the biggest challenges of our time. Satellogic uses Amazon Web Services (AWS) to scale its live Earth catalog, enhance customer experiences, decrease data processing times, and optimize costs.