AWS Architecture Blog

Avanse Financial Services, India’s leading education loan providers, migrated to a cloud-native lakehouse architecture using Amazon SageMaker Unified Studio, which unified their data engineering, analytics, and artificial intelligence (AI) workflows in a single governed environment on AWS. In this post, we walk through their migration journey so you can adapt their approach to your own environment.

In this post, you’ll learn how to architect and implement a five-layer AI-powered resilience framework that automatically discovers dependencies, generates targeted experiments, and integrates with your existing Continuous Integration/Continuous Deployment (CI/CD) pipelines. First, we’ll explore the key challenges in resilience testing. Then, we’ll walk through the five-layer architecture that solves these challenges. Finally, we’ll show you how to implement this, with phased rollout guidance for pilot, expansion, and organization-wide deployment.

In this post, we show how Vonage network-powered solutions work with Amazon Cognito to enhance many mobile-first use cases with network-level identity verification. Vonage network-powered solutions are a composable stack of real-time mobile operator intelligence, silent authentication, and integrated fraud protection, which uses the CUSTOM_AUTH flow to complete identity verification in under 5 seconds, with zero user interaction.

In this post, we walk through the legacy architecture challenges, the stateless streaming solution, key implementation patterns, and performance results—a pattern you can apply if you’re building high-traffic APIs that aggregate data from multiple backend sources.

The Snowflake and AWS Custom Well-Architected Framework Lens brings together AWS Well-Architected best practices and Snowflake guidance into a single review experience, with integrated recommendations that reflect how the two services compose in production. In this post, we walk through each pillar, the three access points (AWS Management Console, Kiro, and Snowflake Cortex Code), and how to run your first review.

In this post, you learn how to build an automated, serverless pipeline that converts scanned PDF medical records into FHIR R4-compliant data using Amazon Bedrock Data Automation and AWS HealthLake. We walk through the architecture, explain how each AWS service connects to the next, show you what the pipeline looks like when it runs, and get you deployed in under 20 minutes.

In this post, we show you how to run a one-hour prioritization session with your stakeholders, plot competing initiatives on a shared matrix by cost and impact and turn the result into an actionable architecture backlog – using a framework called Tech Roadmap Prioritization (TRP).

This post shows how to build a highly available Oracle database architecture using FSxN shared storage, Auto Scaling groups with dynamic AMI updates, and serverless orchestration to help reduce recovery times with current configurations.

In this post, we show you how Doczy.ai™ uses generative AI on AWS to automate contract intelligence at scale, transforming unstructured documents into structured, actionable insights, so organizations can automate critical business processes and unlock the full value of their data.

This post details how NYCBS partnered with Amazon Web Services (AWS) and AWS partner Pronetx (now part of Caylent) to migrate to Amazon Connect Customer, the AWS cloud contact center service. The migration delivered a 54 percent improvement in patient enrollment and transformed the way NYCBS connects with the patients who need them most.