AWS Emulator, Two Days In: A Lab Notebook

AWS Emulator went generally available on 11 November 2026. Ten questions, one CI run against release 1.0.341: install and signature check, start-up cost, CLI, boto3 and Terraform, a 22-experiment comparison with moto, Lambda, service reach, the published fidelity scores, IAM, state, and a pipeline recipe.

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Step Functions as Agent Tools: Putting the Rules Where a Prompt Cannot Move Them

Step Functions workflows can now be exposed to agents as tools through AgentCore Gateway. What the connector offers, how to write a workflow that is safe to hand to a model, where the IAM boundary sits, and eighteen scenarios tested on Step Functions Local.

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Lambda Web Functions: When a Function Becomes a Web Server

AWS Lambda Web Functions run an ordinary HTTP server, serve many requests per environment and bill by CPU time. What the contract is, what the billing model rewards and punishes, with a measured server and a cost model checked against AWS’s own examples, and where it sits against function URLs, API Gateway and App Runner.

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One Contract, Two Clouds: A Network Baseline on AWS and Azure with Terraform

Do not write one Terraform module that hides the cloud. Share the contract instead: the same inputs, outputs, naming and contract tests over an AWS implementation and an Azure implementation, tested on Terraform and OpenTofu with mocked providers, with the cost of the switch-module design measured.

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Testing Infrastructure Code: terraform test, Mock Providers and a Policy Gate in CI

A Terraform module for a clinical-document bucket tested three ways in CI with no cloud account: fourteen unit tests on a mocked provider that pass on Terraform 1.16 and OpenTofu 1.12, ten deliberate defects that the tests must catch, and a policy gate over the JSON plan.

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RAG over FHIR Data on AWS HealthLake and Azure Health Data Services: Retrieval That Respects the Record

A FHIR record is a graph of coded, dated, status-bearing resources, not a document corpus. This article sets out a retrieval design for generative AI over FHIR data: FHIR search for exact questions, similarity search for notes, pinned allergies and medication, a hard partition by patient, and citations on every statement. Tested on synthetic data and mapped to AWS HealthLake and the Azure Health Data Services FHIR service.

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