Category: Intermediate (200)

In this post, we demonstrate how to architect AWS systems that enable AI agents to iterate rapidly through design patterns for both system architecture and code base structure. We first examine the architectural problems that limit agentic development today. We then walk through system architecture patterns that support rapid experimentation, followed by codebase patterns that help AI agents understand, modify, and validate your applications with confidence.

This post explores the architectural patterns, challenges, and best practices for building cross-partition failover, covering network connectivity, authentication, and governance. By understanding these constraints, you can design resilient cloud-native applications that balance regulatory compliance with operational continuity.

In this post, we’ll explore a reference architecture that helps enterprises govern their Amazon Bedrock implementations using Amazon API Gateway. This pattern enables key capabilities like authorization controls, usage quotas, and real-time response streaming. We’ll examine the architecture, provide deployment steps, and discuss potential enhancements to help you implement AI governance at scale.

In this post, we explore the Amazon Bedrock baseline architecture and how you can secure and control network access to your various Amazon Bedrock capabilities within AWS network services and tools. We discuss key design considerations, such as using Amazon VPC Lattice auth policies, Amazon Virtual Private Cloud (Amazon VPC) endpoints, and AWS Identity and Access Management (IAM) to restrict and monitor access to your Amazon Bedrock capabilities.

In this post, we’ll explore how to maximize the value of dashcam footage through best practices for implementing and managing Computer Vision systems in commercial fleet operations. We’ll demonstrate how to build and deploy edge-based machine learning models that provide real-time alerts for distracted driving behaviors, while effectively collecting, processing, and analyzing footage to train these AI models.

In this blog post, we introduce a reference architecture that offers an intelligent document digitization solution that converts handwritten notes, scanned documents, and images into editable, searchable, and accessible formats. Powered by Anthropic’s Claude 3 on Amazon Bedrock, the solution uses the sophisticated vision capabilities of LLMs to process a wide range of visual formats, preserving the original formatting while extracting text, tables, and images.

Modern cloud architectures demand a new governance approach. In this post, we show how collaborative architecture oversight can transform team performance through automation, self-service platforms, and distributed decision-making.

In this post, we identify the components of an efficient architecture review process, define what an ARB is, and describe how to build and operate an effective enterprise ARB.

In this post, you’ll learn how to implement Architecture Decision Records (ADRs) in your organization, based on best practices developed from experience with over 200 ADRs across multiple projects. You’ll also discover practical tips for streamlining architectural decision-making, see real-world examples from projects with teams ranging from 10 to over 100 members, and understand the common challenges in architecture decision-making and how ADRs can help address them.

In this post, we share how WellRight optimized the cost and performance of their application through a ground-up modernization to an event-driven architecture.