A plain-English guide to event-driven architecture for product and engineering teams, including events, brokers, streams, queues, and tradeoffs.
Multi-Cloud Strategy: When It Helps and When It Hurts
A practical guide to multi-cloud strategy for teams weighing resilience, vendor risk, portability, cost, security, and operational complexity.
Platform Engineering Roadmap: From Scripts to Developer Platform
A practical platform engineering roadmap for teams moving from ad hoc scripts to a self-service internal developer platform.
How to Modernize Legacy Applications Without Rewriting Everything
A practical guide to modernizing legacy applications without a risky full rewrite, using assessment, APIs, cloud migration, tests, and incremental releases.
Vector Database vs Knowledge Graph: Which Is Better for AI Search?
A practical comparison of vector databases and knowledge graphs for AI search, including RAG retrieval, relationships, permissions, and hybrid designs.
How to Build an Enterprise AI Roadmap That Actually Ships
A practical enterprise AI roadmap for leaders and engineering teams who want pilots that move into production instead of staying in slide decks.
AI App Architecture: Frontend, API, Model Layer, and Data
A practical guide to AI app architecture, covering frontend UX, API design, model orchestration, data controls, retrieval, evals, and monitoring.
MCP Explained: How AI Agents Connect to Tools and Data
A plain-English explanation of Model Context Protocol, how it helps AI agents connect to tools and data, and what teams should secure.
How to Add ChatGPT to an Internal Business App
A practical architecture guide for adding ChatGPT-style AI to internal business applications with the right controls and rollout plan.
RAG vs Fine-Tuning: Which One Should Your AI App Use?
A practical comparison of RAG and fine-tuning for AI applications, including when to use each, how they affect cost, and how to choose safely.