AWS Architecture Blog

Category: Technical How-to

Architecture from admin perspective

Field Notes: Accelerate Research with Managed Jupyter on Amazon SageMaker

Research organizations across industry verticals have unique needs. These include facilitating stakeholder collaboration, setting up compute environments for experimentation, handling large datasets, and more. In essence, researchers want the freedom to focus on their research, without the undifferentiated heavy-lifting of managing their environments. In this blog, I show you how to set up a managed […]

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AWS Control Tower Management account screenshot

Field Notes: Enroll Existing AWS Accounts into AWS Control Tower

Originally published 21 April 2020 to the Field Notes blog, and updated in August 2020 with new prechecks to the account enrollment script. Last updated April 8, 2021 to reflect changes in the AWS Organizations service.  Since the launch of AWS Control Tower, customers have been asking for the ability to deploy AWS Control Tower […]

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Field Notes: Stopping an Automatically Started Database Instance with Amazon RDS

Customers needing to keep an Amazon Relational Database Service (Amazon RDS) instance stopped for more than 7 days, look for ways to efficiently re-stop the database after being automatically started by Amazon RDS. If the database is started and there is no mechanism to stop it; customers start to pay for the instance’s hourly cost. […]

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Container reference architecture

Field Notes: Running a Stateful Java Service on Amazon EKS

This post was co-authored  by Tom Cheung, Cloud Infrastructure Architect, AWS Professional Services and Bastian Klein, Solutions Architect at AWS. Containerization helps to create secure and reproducible runtime environments for applications. Container orchestrators help to run containerized applications by providing extended deployment and scaling capabilities, among others. Because of this, many organizations are installing such […]

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CloudEndure DR Architecture diagram

Field Notes: Protecting Domain-Joined Workloads with CloudEndure Disaster Recovery

Co-authored by Daniel Covey, Solutions Architect, at CloudEndure, an AWS Company and Luis Molina, Senior Cloud Architect at AWS.  When designing a Disaster Recovery plan, one of the main questions we are asked is how Microsoft Active Directory will be handled during a test or failover scenario. In this blog, we go through some of […]

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CloudXR Ref Architecture

Field Notes: Streaming VR to Wireless Headsets Using NVIDIA CloudXR

It’s exciting to see many consumer-grade virtual reality (VR) hardware options, but setting up hardware can be cumbersome, expensive and complicated. Wired headsets require high-powered graphics workstations, and a solution to prevent you from tripping over the wires. Many room-scale headsets require two external peripherals (or ‘light towers’) to be installed so the headset can […]

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Video Redaction - Multiprocessing

Field Notes: Speed Up Redaction of Connected Car Data by Multiprocessing Video Footage with Amazon Rekognition

In the blog, Redacting Personal Data from Connected Cars Using Amazon Rekognition, we demonstrated how you can redact personal data such as human faces using Amazon Rekognition. Traversing the video, frame by frame, and identifying personal information in each frame takes time. This solution is great for small video clips, where you do not need […]

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Field Notes: Improving Call Center Experiences with Iterative Bot Training Using Amazon Connect and Amazon Lex

This post was co-written by Abdullah Sahin, senior technology architect at Accenture, and Muhammad Qasim, software engineer at Accenture.  Organizations deploying call-center chat bots are interested in evolving their solutions continuously, in response to changing customer demands. When developing a smart chat bot, some requests can be predicted (for example following a new product launch […]

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Field Notes: Comparing Algorithm Performance Using MLOps and the AWS Cloud Development Kit

Comparing machine learning algorithm performance is fundamental for machine learning practitioners, and data scientists. The goal is to evaluate the appropriate algorithm to implement for a known business problem. Machine learning performance is often correlated to the usefulness of the model deployed. Improving the performance of the model typically results in an increased accuracy of […]

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EKS architecture diagram

Field Notes: Managing an Amazon EKS Cluster Using AWS CDK and SHI’s Cloud Resource Property Manager

This post is contributed by Bill Kerr and Raj Seshadri For most customers, infrastructure is hardly done with CI/CD in mind. However, Infrastructure as Code (IaC) should be a best practice for DevOps professionals when they provision cloud-native assets. Microservice apps that run inside an Amazon EKS cluster often use CI/CD, so why not the […]

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