AWS Architecture Blog

Women write blogs: a selection of posts from AWS Solutions Architects

For International Women’s Day and Women’s History Month, we’re featuring more than a week’s worth of posts that highlight female builders and leaders. We’re showcasing women in the industry who are building, creating, and, above all, inspiring, empowering, and encouraging everyone—especially women and girls—in tech.

A blog can be a great starting point for you in finding and implementing a particular solution; learning about new features, services, and products; keeping up with the latest trends and ideas; or even understanding and resolving a tricky problem. Today, as part of our International Women’s Day celebration, we’re showcasing blogs written by women that do just that and more.

We’ve included all kinds of posts for you to peruse:

  • Architecture overview posts
  • Best practices posts
  • Customer/partner (co-written/sponsored/partnered) posts that highlight architectural solutions built with AWS services
  • How-to tutorials that explain the steps the reader needs to take to complete a task

Architecture overviews

How a Grocer Can Deliver Personalized Experiences with Recipes

by Chara Gravani and Stefano Vozza

Chara and Stefano bring us a way to differentiate and reinvent the customer journey for a grocery retailer. Their solution uses Amazon Personalize to deliver personalized recipe recommendations to increase customer satisfaction and loyalty, and in turn, increase revenue. They consider a customer who is shopping for groceries online. As they place products in their basket, they are presented with a list of recipes that contain the same ingredients as those products added to the basket. The suggested recipes are then personalized based on the customer’s profile and historical product preferences.

Best practices posts

Best practices for migrating self-hosted Prometheus on Amazon EKS to Amazon Managed Service for Prometheus

by Elamaran Shanmugam, Deval Parikh, and Ramesh Kumar Venkatraman

With a focus on the five pillars of the AWS Well-Architected Framework, Elamaran, Deval, and Ramesh examine some of the best practices to follow if you’re moving a self-managed Prometheus workload on Amazon Elastic Kubernetes Service (Amazon EKS) to Amazon Managed Service for Prometheus.

Optimizing your AWS Infrastructure for Sustainability Series

by Katja Philipp, Aleena Yunus, Otis Antoniou, and Ceren Tahtasiz

As organizations align their business with sustainable practices, it is important to review every functional area. If you’re building, deploying, and maintaining an IT stack, improving its environmental impact requires informed decision making. In this three-part blog series, Katja, Aleena, Otis, and Cern provide strategies to optimize your AWS architecture within compute, storage, and networking.

Customer/partner posts

Scaling DLT to 1M TPS on AWS: Optimizing a Regulated Liabilities Network

by Erica Salinas and Jack Iu

Erica and Jack discuss how they partnered with SETL to jointly stand up a basic Regulated Liabilities Network (RLN) and refine the scalability of the environment to at least 1 million transactions per second. They show you how scaling characteristics were achieved while maintaining the business requirements of atomicity and finality and discuss how each RLN component was optimized for high performance.

How-to tutorials

Monitor and visualise building occupancy with AWS IoT Core, Amazon QuickSight and Raspberry Pi

by Jamila Jamilova

Occupancy monitoring in buildings is a valuable tool across different industries. For example, museums can analyze occupancy data in near real-time to understand the popularity and number of visitors to decide where a particular gallery should be located. To help with cases like this, Jamila brings you a solution that monitors how building space is being utilized. It shows how busy each area of a building gets during different times of the day based on a motion sensor’s location. This device, a Raspberry Pi with a passive infrared (PIR) sensor, senses motion in direct proximity (in other words, if a human has moved in or out of the sensor’s range) and will generate data that is stored, analyzed, and visualized to help you understand how best to use your space.

Create an iOS tracker application with Amazon Location Service and AWS Amplify

by Panna Shetty and Fernando Rocha

Emergency management teams venture into dangerous situations to rescue those in need, potentially risking their own lives. To keep themselves safe during an event where they cannot easily track each other by line of sight, a muster point is established as a designated safety zone, or a geofence. This geofence may change in response to evolving conditions. One way to improve this process is automating member tracking and response activity, so that emergency managers can quickly account for all members and ensure they are safe. Panna and Fernando bring you a solution to apply to this situation and others like it. It uses Amazon Location Service to create a serverless architecture that is capable of tracking the user’s current location and identify if they are in a safe area or not.

Optimize workforce in your store using Amazon Rekognition

by Laura Reith and Kayla Jing

Retailers often need to make decisions to improve the in-store customer experience through personnel management. Having too few or too many employees working can be detrimental to the business. When store traffic outpaces staffing, it can result in long checkout lines and limited customer interface, creating a poor customer experience. The opposite can be true as well by having too many employees during periods of low traffic, which generates wasted operating costs. In this post, Laura and Kayla show you how to use Amazon Rekognition and AWS DeepLens to detect and analyze occupancy in a retail business to optimize workforce utilization.

Adding Build MLOps workflows with Amazon SageMaker projects, GitLab, and GitLab pipelines

by Lauren Mullennex, Indrajit Ghosalkar, and Kirit Thadaka

In this post, Lauren, Indrajit, and Kirit walk you through using a custom Amazon SageMaker machine learning operations project template to automatically build and configure a continuous integration/continuous delivery (CI/CD) pipeline. This pipeline incorporates your existing CI/CD tooling with SageMaker features for data preparation, model training, model evaluation, and model deployment. In their use case, they focus on using GitLab and GitLab pipelines with SageMaker projects and pipelines.

Deploying Sample UI Forms using React, Formik, and AWS CDK

by Kevin Rivera, Mark Carlson, Shruti Arora, and Britney Tong

Many companies use UI forms to collect customer data for account registrations, online shopping, and surveys. These forms can be difficult to write, maintain, and test. To help with this, Kevin, Mark, Shruti, and Britney show you how to use the JavaScript libraries React and Formik. These third-party libraries provide front-end developers with tools to implement simple forms for a user interface.

Multi-Region Migration using AWS Application Migration Service

by Shreya Pathak and Medha Shree

Shreya and Medha demonstrate how AWS Application Migration Service simplifies, expedites, and reduces the cost of migrating Amazon Elastic Compute Cloud (Amazon EC2)-hosted workloads from one AWS Region to another. It integrates with AWS Migration Hub, which allows you to organize your servers into applications. With the migration services they discuss, you can track the progress of your migration at the server and application level, even as you move servers into multiple Regions.

Tracking Overall Equipment Effectiveness with AWS IoT Analytics and Amazon QuickSight

by Shailaja Suresh and Michael Brown

To drive process efficiencies and optimize costs, manufacturing organizations need a scalable approach to access data across disparate silos across their organization. In this post, Shailaja and Michael demonstrate how overall equipment effectiveness can be calculated, monitored, and scaled out using two key services: AWS IoT Analytics and Amazon QuickSight.

Use AnalyticsIQ with Amazon QuickSight to gain insights for your business

by Sumitha AP

Sumitha shows you how to use the AnalyticsIQ Social Determinants of Health Sample Data dataset to gain insights into society’s health and wellness and how to generate easy-to-understand visualizations using QuickSight that could improve healthcare professionals’ decision making.

We’ve got more content for International Women’s Day!

For more than a week we’re sharing content created by women. Check it out!

Other ways to participate

Bonnie McClure

Bonnie McClure

Bonnie is an editor specializing in creating accessible, engaging content for all audiences and platforms. She is dedicated to delivering comprehensive editorial guidance to provide a seamless user experience. When she's not advocating for the Oxford comma, you can find her spending time with her two large dogs, practicing her sewing skills, or testing out new recipes in the kitchen.