Tag: AWS CloudFormation

The AWS Compliant Framework is an automated solution designed to help customers reduce the time to setup an environment for running secure and scalable workloads while implementing an initial security baseline that meets US federal government standards. The solution was designed to address the requirements for deploying DoD CMMC and DoD Cloud Computing Security Requirements Guide compliant environments.

Data is at the heart of showing citizens how public services are working, and it enables the public sector to improve policy and operational delivery. Citizens expect accessible and useful services. The public sector aims to demonstrate success through data. To build trust in this relationship and promote accountability, public sector organizations need to communicate the data-driven performance of the services they provide. To help address these challenges, AWS is releasing Performance Dashboard on AWS. Performance Dashboard on AWS is a new open source solution to help you measure and share what’s important in one place and at minimal cost, and you can have the solution up and running in a matter of minutes.

The Newfoundland and Labrador Centre for Health Information (NLCHI) provides quality information to health professionals, the public, researchers, and health system decision makers. Through collaboration with the health system, NLCHI supports the development of data and technical standards, maintains key health databases, carries out analytics and evaluation, and supports health research. This post details how NLCHI is able to provide secure and scalable access to their on-premises provincial electronic health record (EHR) system, by trusted and authorized partners who run on AWS, through the use of AWS PrivateLink, Network Load Balancer, and AWS Site-to-Site VPN.

Modern data engineering covers several key components of building a modern data lake. Most databases and data warehouses, to an extent, do not lend themselves well to a DevOps model. DataOps grew out of frustrations trying to build a scalable, reusable data pipeline in an automated fashion. DataOps was founded on applying DevOps principles on top of data lakes to help build automated solutions in a more agile manner. With DataOps, users apply principles of data processing on the data lake to curate and collect the transformed data for downstream processing. One reason that DevOps was hard on databases was because testing was hard to automate on such systems. At California State University Chancellors Office (CSUCO), we took a different approach by residing most of our logic with a programming framework that allows us to build a testable platform. Learn how to apply DataOps in ten steps.

AWS IAM Identity Center helps administrators centrally manage access to multiple AWS accounts that are members of an AWS Organization. End users can authenticate and then access all their AWS accounts from a single interface. Using IAM Identity Center as a SAML identity provider for your AWS accounts also has security benefits: user credentials provided via federation are temporary. IAM Identity Center does not automatically detect AWS GovCloud (US) accounts associated with standard AWS accounts in your AWS Organization. IAM Identity Center is also not currently available in AWS GovCloud (US). As a result, IAM Identity Center cannot be used to automatically provision access for your users into an AWS GovCloud (US) account. However, this functionality can be extended to enable federation into AWS GovCloud (US) with a “custom SAML 2.0 application” in IAM Identity Center.

Today, Amazon Web Services (AWS) announced Service Workbench on AWS, a web portal for researchers to deploy domain-specific data and tools on secure IT environments in minutes not months. Customers can accelerate research while promoting repeatability, multi-site collaboration, and cost transparency in the research process. Tailored for researchers, Service Workbench helps quickly and securely stand up research environments for their work, allowing them to focus on the research not the technology.

Serverless applications are typically discreet pieces of code that customers can use to manage security-related processes or stitch together multiple AWS services to solve a larger problem. They allow customers to build and run applications and services without dealing with infrastructure management tasks such as server or cluster provisioning, patching, operating system maintenance, and capacity provisioning. In this blog, I explain the serverless computing model, the Serverless Application Repository (SAR), solution constructs and implementations, why they matter to our government customers, and how they can use them to solve common problems.

Now more than ever, citizens expect effective communications from government agencies in response to COVID-19. These state and local leaders are committed to serving their citizens with the latest news as fast as possible, but not all strategies reach citizens in real time. However, it takes time for the government to implement widely available communication services to provide timely, accurate information. One solution is to concentrate the delivery of information in a single communication channel: SMS text messages.

Tuesday, September 22, 2020 is National Voter Registration Day, a nonpartisan civic holiday in the United States celebrating democracy with a mission to create broad awareness of registration opportunities for voters. Learn how nonprofit civic organizations use the cloud to meet their mission in a secure, scalable, and cost-effective way on National Voter Registration Day and throughout the election cycle.

Data lakes can help hospitals and healthcare organizations turn data into insights and maintain business continuity, while preserving patient privacy. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis. A data lake enables you to break down data silos and combine different types of analytics to gain insights and guide better business decisions. In my previous post, “Getting started with a healthcare data lake,” I shared how to get started using data lakes in managing healthcare data and what a good “first sprint” architecture might look like. Here, I walk through building your first solution on AWS using a healthcare data lake as our example workload.