Why Data Architecture Matters for Growing Companies
A practical guide to data architecture — when to invest, common anti-patterns, and how to build a data foundation that scales with your business.
Feb 25, 2026
Insights & Engineering Notes
Practical write-ups on architecture, platform reliability, AI integration, and delivery patterns.
AI Integration Patterns for Enterprise Applications
Practical patterns for integrating AI into enterprise software — from simple RAG to agentic architectures, with guidance on safety, cost, and team adoption.
Feb 20, 2026
Building Reliable Data Pipelines: A Practical Guide
How to design data pipelines that don't break at 3 AM — covering ingestion, transformation, testing, monitoring, and the most common failure modes.
Feb 15, 2026
MCP and Agent-to-Agent: The Future of AI Operations
An introduction to the Model Context Protocol (MCP) and Agent-to-Agent (A2A) patterns — how they work, why they matter, and what it takes to operate them safely in production.
Feb 10, 2026
Platform Reliability: From Firefighting to Engineering
How to move from reactive incident response to proactive reliability engineering — a practical roadmap covering SLOs, observability, incident management, and toil reduction.
Feb 5, 2026