Cross-Site Agent Intelligence: Why We Built the ARP Profile
There is a quiet pattern hiding inside every production engineering team that runs AI agents in 2026. Site A’s content agent learns that Claude 3.5 oc…
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What an event-driven agent pipeline looks like when you trace it end-to-end
In an earlier post I argued that event-driven agents reduce scope, cost, and decision dispersion because they narrow the decision space before the mod…
CubeAPM: Evaluating a New Relic Alternative for Cost, Control, and Scale
*Originally published on cubeapm.com As organizations adopt cloud-native architectures, Kubernetes, and microservices, systems have become more distri…
How to Use APM Tools Effectively
TL;DR APM = metrics + traces + logs — Use all three together. Auto-instrument first — Agents cover HTTP, DB, queues. Add custom tags ( order_id , cust…
From $50K/Year of Datadog to $0/Year of Self-Hosted Observability: The Migration Every Team Is Doing in 2026
Book: Observability for LLM Applications — paperback and hardcover on Amazon · Ebook from Apr 22 Also by me: Thinking in Go (2-book series) — Complete…
Debugging an LLM Bug at 3 AM: The Runbook I Wish I'd Had
Book: Observability for LLM Applications — paperback and hardcover on Amazon · Ebook from Apr 22 My project: Hermes IDE | GitHub — an IDE for develope…
Structure-Driven Organization Theory #1 — The Concept of Observation
Evaluation is price-setting. Observation is reading. Get the entry point wrong and wherever you arrive, you end up back at evaluation. Why Start With …
Why event-driven agents reduce scope, cost, and decision dispersion
Why event-driven agents reduce scope, cost, and decision dispersion Most agent systems do not control their costs because they spend tokens letting th…