AWS Architecture Blog

Tag: machine learning

Machine Learning Lens

Introducing the latest Machine Learning Lens for the AWS Well-Architected Framework

Today, we are delighted to introduce the latest version of the AWS Well-Architected Machine Learning (ML) Lens whitepaper. The AWS Well-Architected Framework provides architectural best practices for designing and operating ML workloads on AWS. It is based on six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and—a new addition to this revision—Sustainability. The […]

Razorpay Edge request flow for DDoS handling

Mitigating DDoS with data science using AWS Shield Advanced and AWS WAF

This blog post helps customers in mitigating distributed denial-of-service (DDoS) using AWS Shield Advanced, AWS WAF, and data science. We explore how to use these services along with machine learning (ML) to detect and mitigate DDoS attacks. Bad actors conduct DDoS attacks using botnets. Through botnets, attackers look for zero-day vulnerabilities—specifically on network devices such […]

The SOLVED project system architecture

Detecting solar panel damage with Amazon Rekognition Custom Labels

Enterprises perform quality control to ensure products meet production standards and avoid potential brand reputation damage. As the cost of sensors decreases and connectivity increases, industries adopt real-time imagery analysis to detect quality issues. At the same time, artificial intelligence (AI) advancements enable advanced automation, reduce overall cost and project time, and produce accurate defect […]

Let's Architect

Let’s Architect! Architecting with custom chips and accelerators

It’s hard to imagine a world without computer chips. They are at the heart of the devices that we use to work and play every day. Currently, Amazon Web Services (AWS) is offering customers the next generation of computer chip, with lower cost, higher performance, and a reduced carbon footprint. This edition of Let’s Architect! […]

Let's architect! logo

Let’s Architect! Architecting for Machine Learning

Though it seems like something out of a sci-fi movie, machine learning (ML) is part of our day-to-day lives. So often, in fact, that we may not always notice it. For example, social networks and mobile applications use ML to assess user patterns and interactions to deliver a more personalized experience. However, AWS services provide […]

Figure 1. Architecture for batch inference at scale with Amazon SageMaker

Batch Inference at Scale with Amazon SageMaker

Running machine learning (ML) inference on large datasets is a challenge faced by many companies. There are several approaches and architecture patterns to help you tackle this problem. But no single solution may deliver the desired results for efficiency and cost effectiveness. In this blog post, we will outline a few factors that can help […]

Amazon Personalize: from datasets to a recommendation API

Automating Recommendation Engine Training with Amazon Personalize and AWS Glue

Customers from startups to enterprises observe increased revenue when personalizing customer interactions. Still, many companies are not yet leveraging the power of personalization, or, are relying solely on rule-based strategies. Those strategies are effort-intensive to maintain and not effective. Common reasons for not launching machine learning (ML) based personalization projects include: the complexity of aggregating […]

Human/robot head

AWS Architecture Monthly Magazine: Robotics

September’s issue of AWS Architecture Monthly issue is all about robotics. Discover why iRobot, the creator of your favorite (though maybe not your pet’s favorite) little robot vacuum, decided to move its mission-critical platform to the serverless architecture of AWS. Learn how and why you sometimes need to test in a virtual environment instead of […]

Tractor in a field

AWS 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 […]

Machine learning solution developed for customer

Building a Self-Service, Secure, and Continually Compliant Environment on AWS

Introduction If you’re an enterprise organization, especially in a highly regulated sector, you understand the struggle to innovate and drive change while maintaining your security and compliance posture. In particular, your banking customers’ expectations and needs are changing, and there is a broad move away from traditional branch and ATM-based services towards digital engagement. With […]