Mactores POV · Written by forward-deployed engineers

AWS modernization and AI agents, written from production.

Guides, architecture patterns and cost analysis from an agent-native AWS modernization firm — data platforms moved onto S3 and Iceberg, Oracle and SQL Server retired on Aurora, AI agents running against real operations. Every piece comes out of a program that shipped. No vendor framework. No prophecy. No hedging.

Latest

Latest AWS modernization and AI agent guides — page 2

Newest first, across data platform modernization, application and database modernization, and AI agents for apps.

Apps & Databases

Mainframe Modernization on AWS: What the Cutover Costs

Key takeaways Total program cost is the build plus the cutover. At the bank in this guide, the cutover adds about $2.6 million to a $6.0 million build, and most proposals would lea…

Kaja Hussain 32 min read
Apps & Databases

How Does a Production-First Cloud Migration to AWS Work?

Key takeaways Progress is a workload live in production with its legacy version switched off. Servers assessed and waves planned are inputs, and the lender in this guide wouldn't c…

Kaja Hussain 18 min read
Data Platform

Supply Chain Analytics on AWS That Reaches Production

Key takeaways The model is rarely what holds these programs up. At the foods company in this guide, the first real problem would be two warehouses that count stock differently, and…

Ram Tiwari 31 min read
Data Platform

Apache Iceberg on AWS: Costs, Compliance and Migration

Key takeaways Picking a table format is really picking who controls your data. You'll probably swap query engines a few times over the next decade, but the data will still be sitti…

Ammar Nizami 23 min read
Apps & Databases

Application Modernization: The Decision, Sequence, Cost

Key takeaways System age is a weak readiness signal. Rising change latency, a one-engineer dependency, and a renewal bigger than the rebuild say far more. The binding constraint pi…

Kaja Hussain 19 min read
AI Agents

When Is Agentic RAG Worth the Cost in Production?

Key takeaways The extra money buys judgment. In the health plan example, that's the agent noticing a missing therapy record and going back for it before it recommends anything. Run…

Gautham B 27 min read

Let's deliver

Reading about it is the cheap part.

Every guide on this page came out of a program that reached production. If one of them describes the problem on your roadmap, the next step is a conversation with the engineers who shipped it — not a discovery deck.

Fixed date. Fixed fee.

Mactores absorbs overage cost on delays inside our control. The clause is standard in our SOW.

Forward-deployed engineers.

Every FDE has shipped production agentic AI on AWS. They own architecture, judgment and cutover.

Weeks, not quarters.

Aedeon, the agent platform we deploy, absorbs the discovery and validation work that used to run long.