AWS Architecture Blog
Category: Thought Leadership
How to run a DR readiness engagement
This final post turns the DR framework into a repeatable engagement: a five-step sequence from kickoff and gap assessment through progressive validation to an updated recovery commitment, with a real before-and-after example and ways to compress the timeline from months to weeks. Part 3 of a three-part series.
Validating your DR commitment: From controlled test to real-world readiness
After you define your DR targets, testing tells you whether they hold. This post walks through a four-level progressive validation model (tabletop, planned failover, surprise drill, and game day) and shows how each level surfaces a different class of recovery gap that feeds back into your commitment. Part 2 of a three-part series.
Three business decisions that define your DR success
A disaster recovery strategy is only as strong as the business decisions behind it. Before you choose an architecture pattern, three decisions shape whether recovery succeeds: what you’re actually recovering, what the business needs from that recovery, and what your dependencies allow you to commit to. Part 1 of a three-part series.
Building cloud-native PACS on AWS
A hybrid cloud architecture pattern for modernizing medical imaging on AWS. Learn how multi-hospital networks can centralize PACS archives, enable cross-facility interoperability, and use Amazon S3 storage tiers to manage cost and retention at scale.
Hybrid cloud orchestration: Modernizing on-premises infrastructure management with AWS
Learn how to build a hybrid cloud orchestration solution that manages distributed on-premises infrastructure at scale using AWS serverless technologies and Amazon EKS Anywhere. Part 1 covers the core event-driven architecture patterns for automating server lifecycle and cluster management across hundreds of sites.
Closing the AI agent trust gap with graduated autonomy
Most teams give AI agents either full access or read-only, leaving value unused or risk unmanaged. This post describes graduated autonomy, an architectural pattern in which agents earn expanded permissions through sustained reliability and lose them when performance degrades, built on Amazon Bedrock AgentCore, Amazon DynamoDB, and AWS CodePipeline.
AI-powered clinical trial eligibility and safety using Amazon Bedrock AgentCore
AI agents built on Amazon Bedrock AgentCore help clinical trial teams make fast, accurate enrollment decisions while keeping clinicians in control. This post shows how to architect an eligibility and safety screening agent using AWS HealthLake, AgentCore, and AgentCore Evaluations.
Cyber recovery on AWS: A reference approach for recovering from ransomware and destructive events
October 2026: This post was reviewed and updated for accuracy. Ransomware and other destructive events can compromise not just your production environment but the backups, credentials, and infrastructure you depend on for recovery. Cyber recovery addresses this case: restoring workloads to a known-good state when you cannot trust your own recovery inputs. In this post, […]
From virtual machine to Kubernetes to serverless: How dacadoo saved 78% on cloud costs and automated operations
In this post, we walk you step-by-step through dacadoo’s journey of embracing managed services, highlighting their architectural decisions as we go.
Top Architecture Blog Posts of 2024
Well, it’s been another historic year! We’ve watched in awe as the use of real-world generative AI has changed the tech landscape, and while we at the Architecture Blog happily participated, we also made every effort to stay true to our channel’s original scope, and your readership this last year has proven that decision was […]









