AWS Public Sector Blog
Modernizing public sector applications using serverless and containers
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.
Analyze terabyte-scale geospatial datasets with Dask and Jupyter on AWS
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.
Analyze controlled unclassified data with SAS Viya EKS on AWS GovCloud (US)
SAS Viya is a highly available, cloud-native analytics platform. The latest version of SAS Viya on Amazon Elastic Kubernetes Service (Amazon EKS) allows customers to receive all of Kubernetes’ advantages without the trouble of maintaining their own Kubernetes infrastructure. Plus, customers also inherit AWS compliance controls, which can accelerate the journey to achieving FedRAMP authority to operate (ATO) in AWS US Regions. In this post, we show the key components of the SAS Viya architecture along with its core features to help customers on their journey to the cloud.
How the cloud can help educational institutions with grading, assessments, and admissions
During the COVID-19 pandemic, educational institutions that operated on in-person model shifted many of their traditionally in-person operations and activities—including grading, assessments and testing, and admissions—to a virtual format, where many had never been before. Educational technology (EdTech) companies around the world used the cloud to help quickly create and scale to meet the needs of these academic institutions while maintaining a consistent and smooth student experience.
Combating illicit activity by tracking flight data via the cloud
Many organizations including the intelligence community, security organizations, law enforcement, regulatory bodies, news organizations, and non-governmental organizations work together to disrupt transnational crime networks. Their missions include combating illicit trade; disrupting human, animal, and narcotics trafficking; detecting money laundering; and exposing political corruption. This community needs rapid analysis of large, diverse streams of information about air transportation networks, because air transportation is the fastest way to conduct illicit trade internationally. The nonprofit Center for Advanced Defense Studies (C4ADS) built the Icarus Flights application to meet this need. By building on AWS using managed cloud services, C4ADS spends less time and energy managing infrastructure, which frees them to focus on building innovative analytics and alerting services that their user community needs.
Managing Edge of the Edge deployments with Rancher
To help support DIL environments, Amazon Web Services (AWS) created the Snow family of products to include the AWS Snowcone and AWS Snowball devices. The Snow family moves data processing and analysis as close as necessary to where data is created in order to deliver intelligent, real-time responsiveness and streamline the amount of data transferred. To address the challenges of edge of the edge computing, we use the Snowball Edge as a central management hub and a Snowcone as an outer edge device. This how-to shows how to use Rancher as a centralized Kubernetes management tool installed on a Snowball, which has been set up to manage a single-node Kubernetes cluster on a Snowcone. This configuration allows us to fully manage the containers running on one or more Snowcones from the Snowball itself.