AWS Architecture Blog

Category: Architecture

Kubernetes control plane

Field Notes: Migrating a Self-managed Kubernetes Cluster on Amazon EC2 to Amazon EKS

AWS customers from startups to enterprises have been successfully running Kubernetes clusters on Amazon EC2 instances since 2015, well before Amazon Elastic Kubernetes Service (Amazon EKS), was launched in 2018. As a fully managed Kubernetes service, Amazon EKS customers can run Kubernetes on AWS without needing to install, operate, and maintain their own Kubernetes control […]

Figure 3: API Facade pattern built on AWS Serverless

Unlocking Data from Existing Systems with a Serverless API Facade

In today’s modern world, it’s not enough to produce a good product; it’s critical that your products and services are well integrated into the surrounding business ecosystem. Companies lose market share when valuable data about their products or services are locked inside their systems. Business partners and internal teams use data from multiple sources to […]

Field Notes: Building an Autonomous Driving and ADAS Data Lake on AWS

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Customers developing self-driving car technology are continuously challenged by the amount of data captured and created during the development lifecycle. This is accelerated by the need to design and launch incremental feature improvements on advanced driver-assistance systems (ADAS). Efforts to […]

Figure 3 : Reference Architecture for Hardware-in-the-Loop (HiL) Direct to Amazon S3

Field Notes: Implementing Hardware-in-the-Loop for Autonomous Driving Development on AWS

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Automotive customers use AWS as their platform for advanced driving assistance systems (ADAS) and autonomous driving (AD) development to accelerate their development cycles and experience faster time-to-market. In the blog post, Autonomous Vehicle and ADAS development on AWS Part 1: […]

head with exposed brain in the clouds

Architecture Monthly Magazine: AWS Solutions

For October’s issue of AWS Architecture Monthly Magazine, we decided to do a deep dive into the AWS Solutions Library, a virtual treasure trove of cloud-based solutions for dozens of technical and business problems. Whether you want to combine pre-built, well-architected multi-service patterns to create your own solution, deploy vetted architecture directly into your AWS […]

Decision tree applied to Example Corp. Automotive use case

New Whitepaper: Selecting & Designing Your Hybrid Connectivity Model

Introduction Many organizations need to connect their on-premises data centers, remote sites, and the cloud. A hybrid network connects these different environments. A modern organization uses an extensive array of IT resources. In the past, it was common to host these resources in an on-premises data center or a colocation facility. With the increased adoption […]

Field Notes: Powering the Connected Vehicle with Amazon Alexa

Alexa has improved the in-home experience and has potential to greatly enhance the in-car experience. This blog is a continuation of my previous blog: Field Notes: Implementing a Digital Shadow of a Connected Vehicle with AWS IoT. Multiple OEMs (Original Equipment Manufacturers) have showcased this capability during CES 2020. Use cases include; a person seating at […]

virtual vehicle model

Field Notes: Implementing a Digital Shadow of a Connected Vehicle with AWS IoT

Innovations in connected vehicle technology are expected to improve the quality and speed of vehicle communications and create a safer driving experience. As connected vehicles are becoming part of the mainstream, OEMs (Original Equipment Manufacturers) are broadening the capabilities of their products and dramatically improving the in-vehicle experience for customers. An important feature in a […]

ML Solution Architecture

Field Notes: Gaining Insights into Labeling Jobs for Machine Learning

In an era where more and more data is generated, it becomes critical for businesses to derive value from it. With the help of supervised learning, it is possible to generate models to automatically make predictions or decisions by leveraging historical data. For example, image recognition for self-driving cars, predicting anomalies on X-rays, fraud detection […]