Insights

Practical guidance on data governance, AI governance, software architecture, and the future of agentic AI development. Written by Joshua Garza.

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Software Architecture

Quantifying Technical Debt: A Framework for Securing Leadership Buy-In

Vague complaints about technical debt rarely unlock budget. This guide shows engineering leaders how to measure debt systematically, translate it into business metrics, and build a paydown roadmap that leadership will fund.

Joshua Garza

Recent Posts

Software Architecture

API Design Principles for Data Platforms

Direct database access is not an API strategy. Here is how to design deliberate, durable API boundaries for data platforms — covering protocol trade-offs, versioning, pagination, security, and contract-first development with OpenAPI.

Topics We Cover

Data Governance

Maturity assessments, policy development, stewardship, data quality culture

AI Governance

EU AI Act, NIST AI RMF, AI system inventory, bias testing, compliance

Software Architecture

Technical debt, modernization, microservices, API design, cloud migration

Agentic AI

Dark factory principles, scenario-based validation, autonomous agents, Digital Twin environments

Data Quality

Data quality rules, observability, monitoring, SLAs, tools and frameworks

Leadership & Strategy

Fractional CTO, data strategy, technology leadership, team building

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