AWS Architecture Blog
Fundbox: 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: Serverless Container-based APIs with Amazon ECS and Amazon API Gateway
A growing number of organizations choose to build their APIs with Docker containers. For hosting and exposing these container-based APIs, they need a solution which supports HTTP requests routing, autoscaling, and high availability. In some cases, user authorization is also needed. For this purpose, many organizations are orchestrating their containerized services with Amazon Elastic Container […]
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 MoreReduce Cost and Increase Security with Amazon VPC Endpoints
Introduction This blog explains the benefits of using Amazon VPC endpoints and highlights a self-paced workshop that will help you to learn more about them. Amazon Virtual Private Cloud (Amazon VPC) enables you to launch AWS resources into a virtual network that you’ve defined. This virtual network resembles a traditional network that you’d operate in […]
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 MoreDemocratizing LoRaWAN and IoT with The Things Network
With the Internet of Things (IoT), what happens to your thing when there’s no internet? Johan Stokking, co-founder of The Things Network and The Things Industries, along with Matt Yanchyshyn from AWS, dig into this. About The Things Network and The Things Industries The Things Network is a community project building a global IoT data […]
Read MoreBBVA: Architecture for Large-Scale Macie Implementation
This post was co-written by Andrew Alaniz , Technical Information Security Officer, 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++ […]
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