FAMRO Blog
Technical articles on AI software audits, cloud migration, infrastructure modernization, and automation.
This page lists current blog posts in an accordion format. Expand any entry to review the excerpt, see the publish date and tags, and jump to the full article.
Directory
Browse the current FAMRO blog archive.
A practical guide for CTOs and tech leads on using AI to accelerate schema design without giving up control over ownership, migrations, security, scalability, and operational resilience.
A practical guide to controlling AI costs across Amazon Bedrock, GPU training, vector databases, inference workloads, and enterprise AI platforms.
Understand AWS CloudFormation templates, their practical benefits and limits, plus simple S3 bucket and EC2 security group examples.
A practical guide for startups using AI-generated code: where vibe coding accelerates learning, where it creates risk, and how to ship responsibly.
A practical guide to governing AI agents, MCP servers, tools, and enterprise AI resources with AWS Agent Registry.
A practical technical article covering how Django teams can evaluate AWS Graviton for lower EC2 cost, better compute efficiency, safer migration sequencing, Arm64 validation, and infrastructure readiness.
A practical guide for securing AWS AI agents using least privilege, guardrails, approval workflows, encryption, audit logging, and enterprise governance.
A practical guide to the top 5 agentic frameworks in 2026, what problems they solve in enterprise settings, and how to choose between integration, orchestration, retrieval, and role-based approaches.
A practical 2026 playbook for moving agentic AI from demo workflows into production systems with MCP, explicit orchestration, grounded retrieval, provenance, and cost-aware operating controls.
A practical explanation of the Model Context Protocol, the integration problems it solves, and the controls enterprises need before using MCP in production AI workflows.
A practical article on AI-powered application security tools, covering AI-specific vulnerabilities, governance, compliance mapping, and how enterprises can choose between platform options.