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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OpenTelemetry in Production: Traces, Context, and What Actually Matters
Why OpenTelemetry Won Three years ago, the observability landscape was fragmented. Jaeger for tracing, Prometheus for metrics, Fluentd for logs, each …
26 Seconds to Find a Straggler: Fleet v0.10 End-to-End on A100 and GH200
TL;DR Ingero Fleet v0.10 FOSS is live. We validated the full pipeline end-to-end on two 3-node Lambda Cloud clusters: 3x A100 SXM4 (x86_64) and 3x GH2…
AI agents are opaque. Jaeger v2 + OTel GenAI conventions are the fix.
AI agents are distributed systems. They fan out across LLM calls, tool invocations, memory lookups, and multi-step reasoning loops — often asynchronou…
Your RAG Eval Set Is Probably Wrong. The Test That Catches It.
Book: RAG Pocket Guide Also by me: LLM Observability Pocket Guide My project: Hermes IDE | GitHub — an IDE for developers who ship with Claude Code an…
Cost-Effective Observability: The 80/20 Stack for Startups
You Don't Need Datadog (Yet) I see startups spending $5,000/month on Datadog with 8 engineers. That's $625 per engineer per month for monitoring. At t…
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…
Production GPU Training is 34% Slower. Show Me Why
A single slow GPU – a straggler – in a 1,000-node training cluster idles 999 healthy GPUs at every AllReduce barrier. The job does not crash. There is…
OpenTelemetry eBPF Instrumentation (OBI) — The Complete Guide: KubeCon EU 2026 Beta Launch, Zero-Code Observability, and the 1.0 GA Roadmap
OpenTelemetry eBPF Instrumentation (OBI) — The Complete Guide: KubeCon EU 2026 Beta Launch, Zero-Code Observability, and the 1.0 GA Roadmap Published …
Prometheus at Scale: Surviving the Cardinality Cliff
The Day Prometheus Fell Over Prometheus memory usage spiked from 8GB to 32GB overnight. OOM-killed. Monitoring was down for 20 minutes while we scramb…
The 4 Signals That Actually Predict Production Failures - Part 2
A practical guide In the first part , I covered the two initial signals to diagnose that something is wrong : Latency Traffic Those two alone explain …
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…
Deckhouse Prom++: как мы посадили Prometheus на RAM-диету и сэкономили 89 % памяти в хранилище данных
Утро: 3,8 ТБ памяти на кластеры Prometheus. Вечер: 0,6 ТБ. Между ними — переход на Deckhouse Prom++. Мы потратили месяцы на внимательный ана…
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…
Public status page guide for SaaS teams selling to enterprise
Enterprise buyers treat a public status surface as a signal of operational maturity—not marketing polish. This guide covers what to publish, how to st…
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…
Your Observability Stack Is Probably a Mess (And You're Not Alone) 📊
The State of Observability 2026 report is out — here's what 407 DevOps engineers and SREs actually told us. Let's be honest. Most of us are juggling m…
From Pipelines to Transforms: Making Vector Work with ClickHouse
Part 3 of a series on building a metrics pipeline into ClickHouse Read Part 2: Understanding Vector Pipelines Where Things Got Real By this point, the…
Kubernetes Observability: What to Monitor and Why
The Kubernetes Monitoring Maze Kubernetes gives you a thousand metrics out of the box. Most teams monitor all of them and understand none of them. Aft…
Kubernetes Observability: What to Monitor and Why
The Kubernetes Monitoring Maze Kubernetes gives you a thousand metrics out of the box. Most teams monitor all of them and understand none of them. Aft…
Kubernetes Observability: What to Monitor and Why
The Kubernetes Monitoring Maze Kubernetes gives you a thousand metrics out of the box. Most teams monitor all of them and understand none of them. Aft…
Kubernetes Observability: What to Monitor and Why
The Kubernetes Monitoring Maze Kubernetes gives you a thousand metrics out of the box. Most teams monitor all of them and understand none of them. Aft…
Closing the Eval Gap: From Lenient Defaults to Signal That Matters
In the original Eval Gap post , we laid out the problem: the distance between "works in demo" and "works in production" kills AI products. Four mechan…
Как мы строим Tinder для автомобилей: для обмена авто на авто, архитектура Go-монолита за 3 месяца
Я Шевкопляс Дмитрий, технический руководитель проекта Swapno — сервис для обмена автомобилями ключ-в-ключ, без дилеров. Механика — как в Tinder: свайп…
I exported the first MCP server interaction log in EU AI Act Article 12 format — here's what it looks like
TL;DR** — The EU AI Act Article 12 deadline for high-risk AI logging is August 2, 2026. Singapore's IMDA Agentic AI Framework is already in force (Jan…
Как мы строим OLTP-ядро: от API-контрактов до eBPF-проб
В статье показываем контракты будущей OLTP-СУБД: как разделены слои ядра, зачем нужен per-tablespace page size, почему конфигурация уходит в adaptive …
Observability Engineering in Production Systems: Structured Logging, Metrics, and Distributed Tracing at Scale
How Observability Engineering Cut Incident Response Time by 85% in Production Part 1 of 3: Structured Logs and Correlation IDs Part of a three-part se…