Reporting Engineering to the Board Without Vanity Metrics
Aaron Wise
Engineering metrics for the board: report predictability, reliability, cost, risk and capacity, drop activity counts, and adapt the page as you grow.
Category
Engineering
Articles
Build, Buy or Wait Is a Different Call at Each Stage
Aaron Wise
Build vs buy decisions by company stage: buy by default, build where you differ, wait with a trigger, and revisit every vendor call at Series B.
Compressing the Clock: Scaling from Data Disarray to AI Impact in 18 Months
Aaron Wise
Azure builds a reliable AI platform by combining native services with third-party tools, structured environments, and a cross-functional team.
The Goldilocks Platform: How to Engineer Just Enough (and Not Too Much)
Aaron Wise
Right-sized platform engineering balances load, risk, and growth stage to avoid over- and under-building.
The Wrong Kind of Early: When Startups Aren’t Ready for Senior Engineering Leadership
Aaron Wise
Senior engineering leaders need a clear problem, founder-market fit, and rough business plan before joining a startup.
Who’s on the Rocket Ship? How Teams, Pitches, and Capital Structures Evolve Together
Aaron Wise
Team composition must align with capital stage and execution goals to build durable, scalable organizations.
Automation by Design: Building Software That Proves It Works
Aaron Wise
Architecting for test automation means embedding it into design, not adding it later.
From Zero to Data Hero: How to Go from Blank Slate to Business Value
Aaron Wise
Building a data program from scratch requires cultivating trust, defining clear value drivers, and aligning people before platforms.
Stop Moving Data and Start Moving Fast: Why Modern Data Teams Are Going Zero and Loving It
Aaron Wise
Modern data teams are adopting DataOps and Zero-ETL to eliminate fragile pipelines, reduce latency, and enable real-time decision-making.
From Flat to Fluent: How 3D Data Adds Depth to Decision-Making
Aaron Wise
3D data adds depth to decision-making by structuring information across multiple dimensions for richer context and clearer insights.
Beyond the Perimeter: How Modern Cloud Networking, Security, and Edge Keep SaaS Global and Fast
Aaron Wise
Modern cloud networking uses intent-driven design, Zero Trust, and edge compute to secure and scale global SaaS.
Data Without Context Is Just Noise: A Deep Dive Into Catalogs and Lineage
Aaron Wise
Data catalogs and lineage tools build trust and speed by embedding metadata directly into data workflows.
Better Than Before: Selling the Business on Dark Data Done Right
Aaron Wise
Dark data becomes a strategic asset when product managers transform it into actionable insights that improve decision speed and accuracy.
The Front Door of the Internet: Securing APIs Before Hackers Walk In
Aaron Wise
Modern API security requires continuous discovery, shift-left testing, and runtime protection to lock down the front door before attackers exploit sprawl.
From Fine-Tuning to Protocol Wars: Building the LLM Tech Stack That Lasts
Aaron Wise
LLM systems that last combine fine-tuned models, embeddings, vector databases, and protocols like MCP and ACP for reliable collaboration.
Future-Proof or Fool’s Errand? How to Architect for Evolution Without Over-Engineering
Aaron Wise
Architect for evolution by balancing loose coupling, fitness functions, and incremental changes rather than over-engineering for hypothetical futures.
When Models Wander: Managing Drift in ML and LLM Systems
Aaron Wise
Model drift in ML and LLM systems demands continuous monitoring, evaluation, and retraining to keep outputs relevant and aligned with real-world changes.
The Secret Life of Data: How Labels, Embeddings, and Vector DBs Power Intelligence
Aaron Wise
Modern AI depends on integrated ecosystems of labeling, embeddings, vector databases, and feature stores not isolated tools.
No Trust Left Behind: Service-to-Service Security in Modern SaaS Platforms
Aaron Wise
Zero trust in SaaS requires identity-based security for every service interaction, API call, and internal tool.
From Swamps to Systems: How Data Fabric and Mesh Reimagine Trust and Scale
Aaron Wise
Data fabric unifies hybrid environments through automation; data mesh decentralizes ownership by treating data as a product.
Governance That Works: A Practical Cookbook for Modern Data Leaders
Aaron Wise
Data governance succeeds by proving value at each stage through measurable improvements like reduced errors, faster decisions, and aligned definitions.
Non-Invasive to Federated: A Roadmap for Governance That Scales with Your Business
Aaron Wise
Federated governance scales trust by letting teams own data products while aligning to shared standards.
Beyond the Buzzwords: Building SaaS Platforms That Actually Scale
Aaron Wise
Scalable SaaS platforms prioritize event-driven architecture, API-first design, and security by default to reduce developer friction and system fragility.
In Data We Trust: Building Confidence from Lineage to Leadership
Aaron Wise
Trust in data comes from transparency in quality, lineage, accessibility, and accountability.