I explore DevOps, platform engineering, and the systems behind high-performing engineering organizations.
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Recently, I entered what was publicly described as a phased transition into retirement. That phrase sounds smooth. Strategic. Intentional. And in many ways, it is. After more than three decades in enterprise technology — from manufacturing floors to financial services and fintech — transitions are rarely accidents. They are inflection…
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The Society of Mind: How Marvin Minsky Shaped My Systems Thinking (and My Perspective on AI)
I first read The Society of Mind in the early 1990s — a few years after it was published — long before AI became mainstream and decades before GPUs, large language models, or agentic systems entered everyday engineering conversations. Written by Marvin Minsky, the book wasn’t a how-to guide or…
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AI Isn’t Just for Enterprises Anymore
How Everyday People and Small Businesses Can Use AI Right Now (Without Breaking the Bank) I spend a lot of time writing about AI in large organizations — platform engineering, automation, observability, and digital transformation. But here’s the thing most people don’t realize: The same AI capabilities powering billion-dollar companies…
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From Chaos to Context: AI-Driven Major Incident Response
In Part 1, we covered what actually fails during major incidents: That’s the baseline reality in most enterprises today. This article is about what comes next. Not “AI for dashboards.” Not chatbots bolted onto ticketing systems. I’m talking about AI as the operational control plane — where observability, CMDB, ITSM,…
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From Internal Developer Platforms to AI-Native Control Planes
Why IDPs aren’t portals — they’re standardized access to reality. Over the last few articles, I’ve been exploring how AI, observability, and SRE are converging into something bigger than any single tool: a closed-loop engineering system where intent, execution, and experience are continuously connected. That naturally leads to Internal Developer…
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Next-Level SRE: Experience-First Reliability with AI-Driven SLO Attribution
Most organizations can show you dashboards. Far fewer can show you a live, continuously computed SLO for a critical user journey — and even fewer can tell you what’s burning that SLO right now and why. That’s the difference between traditional monitoring and next-level SRE. Next-level SRE isn’t more charts.…
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AI in Software Engineering: Speed, Scale, and the New Productivity Frontier
Artificial intelligence isn’t just a buzzword — it’s materially transforming how software gets built. In 2025–26, AI-powered coding tools have moved from niche experiment to core engineering workflow, reshaping everything from individual productivity to platform enablement across DevOps, DataOps, and delivery pipelines. Recent data shows this shift isn’t hype —…
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AI-Driven Observability with MCP: Query Your Entire System When Things Go Wrong
Modern distributed systems don’t fail loudly — they fail subtly. A small latency increase in one service cascades into customer impact three layers away. A misconfigured feature flag quietly degrades performance. A database connection pool exhausts itself under load. By the time humans notice, the system is already burning. This…
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AI + AR: The Real Convergence Reshaping How We Work and See the World
The next major technology shift isn’t about escaping reality—it’s about augmenting it. While virtual reality once dominated headlines, momentum has clearly shifted. Artificial intelligence is now the primary catalyst for transformation, and augmented reality (AR) is emerging as the most practical interface for bringing that intelligence into everyday workflows. Instead…
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Process Improvement in Software Delivery: Fixing Flow, Not Forcing Speed
Learn how process improvement techniques can streamline software delivery and enhance the performance of engineering teams.