AI & Data
What it takes to move AI systems into production.
Use cases, trusted data, evaluation, software integration, and the ownership a production system needs.
Insights
Practical thinkingabout modern technology.
Perspectives on software, cloud, data, AI, and the decisions behind technology that has to work in production.
Featured Perspectives
Go deeper intothe decisions behind the technology.
Cloud & DevOps
A practical approach to cloud modernization.
Infrastructure, applications, delivery, reliability, and team ownership evolving together.
Software Engineering
Designing software platforms that can continue to scale.
Architecture, APIs, quality, and developer experience as the product keeps changing.
Topics
Explore technologythrough connected disciplines.
The most useful technology perspectives often cross service boundaries because architecture, cloud, software, data, security, and delivery decisions influence one another.
Software Engineering
Architecture, modernization, APIs, quality, developer experience, and sustainable software delivery.
AI & Data
Data foundations, applied AI, machine learning, evaluation, integration, and production operations.
Cloud & Platforms
Cloud modernization, platform engineering, DevOps, reliability, infrastructure, and operating models.
Cybersecurity
Application security, cloud security, identity, architecture, automation, and engineering guardrails.
Editorial Perspective
Technology thinking should helpteams make better decisions.
Start with the problem
Useful technical thinking begins with context rather than a preferred technology.
Make trade-offs visible
Good analysis explains what a decision gains and what it accepts.
Think beyond the prototype
Production also needs reliability, security, operations, and ownership.
From Perspective to Practice
Working through a similartechnology decision?
We can help connect the architecture, engineering, cloud, data, and security questions around the challenge you are working through.