AWS Architecture Blog
Category: *Post Types
Field Notes: Deploying UiPath RPA Software on AWS
September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Running UiPath RPA software on AWS leverages the elasticity of the AWS Cloud, to set up, operate, and scale robotic process automation. It provides cost-efficient and resizable capacity, and scales the robots to meet your business workload. This reduces the […]
Read MoreField Notes: Building a Shared Account Structure Using AWS Organizations
For customers considering the AWS Solution Provider Program, there are challenges to mitigate when building a shared account model with SI partners. AWS Organizations make it possible to build the right account structure to support a resale arrangement. In this engagement model, the end customer gets an AWS invoice from an AWS authorized partner instead […]
Read MoreField Notes: Integrating a Multi-Forest Source Environment with AWS SSO
During re:Invent 2019, AWS announced a new way to integrate external identity sources such as Azure Active Directory with auto provisioning of identities and groups in AWS Single Sign-On (AWS SSO). In March 2020, AWS SSO afforded customers the possibility to connect their Okta Identity Cloud to AWS Single Sign-On (SSO) in order to manage […]
Read MoreFundbox: Simplifying Ways to Query and Analyze Data by Different Personas
Fundbox is a leading technology platform focused on disrupting the $21 trillion B2B commerce market by building the world’s first B2B payment and credit network. With Fundbox, sellers of all sizes can quickly increase average order volumes (AOV) and improve close rates by offering more competitive net terms and payment plans to their SMB buyers. […]
Read MoreField Notes: Redacting Personal Data from Connected Cars Using Amazon Rekognition
Cameras mounted in connected cars may collect a variety of video data. Organizations may need to redact the personal information (e.g. human faces and automobile license plates) contained in the collected video data in order to protect individuals’ privacy rights and, where required, meet compliance obligations under privacy regulations such as General Data Protection Regulation […]
Read MoreField Notes: Using Infrastructure as Code to Manage Your AWS Networking Environment
Infrastructure as Code (IaC) brings automation to the provisioning process, which was traditionally done manually. Rather than relying on manually performed steps, both administrators and developers can instantiate infrastructure using configuration files. IaC helps avoid configuration drift through automation, and increases the speed and agility of infrastructure deployments. It also helps reduce errors and enhances […]
Read MoreAWS Architecture Monthly Magazine: Agriculture
In this month’s issue of AWS Architecture Monthly, Worldwide Tech Lead for Agriculture, Karen Hildebrand (who’s also a fourth generation farmer) refers to agriculture as “the connective tissue our world needs to survive.” As our expert for August’s Agriculture issue, she also talks about what role cloud will play in future development efforts in this […]
Read MoreField Notes: Working with Route Tables in AWS Transit Gateway
An AWS Transit Gateway enables you to attach Amazon VPCs, AWS S2S VPN and AWS Direct Connect connections in the same Region, and route traffic between them. Transit Gateways are designed to be highly scalable and resilient. You can attach up to 5000 VPCs to each gateway and each attachment can handle up to 50 […]
Read MoreBBVA: Architecture for Large-Scale Macie Implementation
This post was co-written by Andrew Alaniz , Director of Technology Infrastructure, and Brady Pratt, Cloud Security Engineer, both at BBVA USA. Introduction Data Loss Prevention (DLP) is a common topic among companies that work with any type of sensitive data. One of the challenges is that many people either don’t fully understand what DLP […]
Read MoreField Notes: Inference C++ Models Using SageMaker Processing
Machine learning has existed for decades. Before the prevalence of doing machine learning with Python, many other languages such as Java, and C++ were used to build models. Refactoring legacy models in C++ or Java could be forbiddingly expensive and time consuming. Customers need to know how they can bring their legacy models in C++ […]
Read More







