Auditing What Your Email Agent Actually Did
Debugging a misbehaving email agent at 2am is a special kind of miserable. Your application logs say the LLM "decided to follow up." Cool — with whom?…
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hosted coding agents make observability a product feature
The laptop was never the interesting part of coding agents. It was just the first convenient runtime. Your laptop has the repository, the shell, the s…
AI For Debugging Production Issues
It's 2:47am. The pager has just gone off for the third time in twenty minutes. Checkout latency is spiking. The error rate on /api/orders is climbing.…
Boosting Observability in NestJS with RedisX Metrics
Observability isn't just a buzzword; it's a necessity, especially when diving into distributed systems. If you're using NestJS, you might want to take…
My AI-agent waste detector scored zero false positives. Then I ran it on a real trace.
My detector passed every synthetic test with zero false positives. Then I pointed it at one real trace and found a crack. This is the honest version o…
nvidia-smi Reports 97% Utilization While the GPU Sits Idle
TL;DR A GPU shows 97% utilization in nvidia-smi , but training throughput is a fraction of what benchmarks promise. The GPU is not computing; it is wa…
AI Observability: Logs, Prompts, Tool Calls, And Cost
Here's a five-line function. It calls an LLM, logs the answer, returns it. async function ask ( question : string ) { const res = await openai . respo…
Сервер работает. Продукт — уже нет
Большинство команд следят за серверами, базами данных и доступностью приложений. Но самые дорогие инциденты часто происходят совсем в другом месте. Ис…
The Reason Your Agent Demo Isn't in Production Has Nothing to Do With the Model
Your agent demo took an afternoon. The reason it isn't in production nine months later has nothing to do with the model. I've watched this play out at…
Deploying Vector High-Performance Observability Data Pipeline on Ubuntu 24.04
Vector is a high-performance observability data pipeline from Datadog that collects, transforms, and routes logs, metrics, and traces across heterogen…
Engineering Design Document: Reusable Observability Platform V2
A production-focused redesign of a Stage 6 LGTM observability platform, moving from a single-service Anvila monitoring setup to a reusable, secure, hi…
The Invisible Tax Every Oracle-Database Enterprise Pays
What it really costs when nobody can say exactly what happened inside your critical systems, and why that cost never appears as a line item. Series · …
The 4-layer voice-agent latency stack, traced with OTel spans
** How I instrument ASR, LLM, TTS, and the client with OpenTelemetry, and which number in each layer I actually look at ** TL;DR. A voice agent is fou…
LLM Spend Audit: The 45-Minute Diagnostic for Startups
Disclosure: This article may later include affiliate links or service CTAs. Recommendations are based on workflow fit, not commissions. LLM Spend Audi…
Errors, traces, logs, metrics: when to reach for what
When should I reach for a log, a trace, or a metric? I hit that question constantly when I instrument code, and I watch coding agents hit it too. It s…
klag just got a bunch better — here’s what’s new.
Over half year ago I’ve open sourced klag, a lightweight Kafka consumer lag exporter. I’ve been working in data streaming systems and data infrastruct…
GPU Incident at 3am: eBPF Tracing from Page to Root Cause in 60 Seconds
TL;DR 3am page: GPU training pipeline missed its SLA. Datadog shows 95% GPU utilization. nvidia-smi agrees. Everything looks green, but the job is 3x …
[Перевод] Что kubectl debug вам не показывает: незаметный пробел в данных
Команда VK Cloud перевела статью для тех, кто разбирает инциденты в Kubernetes с помощью kubectl debug. Автор разбирает незаметный пробел в данных: по…
Per-project LLM cost attribution with OTel spans: the wiring
TL;DR. If your LLM bill is one line item on a cloud invoice, you cannot answer "which team spent that." We fixed this by tagging every gateway span wi…
Harness Base Definition: The Control System Outside the Model
Harness Base Definition: The Control System Outside the Model Previously, we split Agent into several minimal parts: Model: judge the next step Loop: …
Как фронтендер из Bay Area, который почти не пишет код руками, сделал на Rust трекер расходов для ИИ-агентов — и зачем
Я фронтенд-разработчик. Работаю в Bay Area, в компании, которая выдаёт всем инженерам корпоративные подписки на Claude Code и Cursor. То есть лично из…
Five Fields AI Agent Run Receipts Probably Need
I have been asking agent builders what they want in a run receipt after an AI agent finishes a task. The answers were better than my original schema. …
FSx for ONTAP Audit Logs with Data Residency in your region with Sumo Logic
TL;DR We built a serverless Lambda pipeline that ships FSx for ONTAP audit logs to Sumo Logic's JP (Tokyo) region deployment. For Japanese enterprises…
AI-Powered Root Cause: Correlating File Access with APM via Dynatrace
TL;DR We built a serverless Lambda pipeline that ships FSx for ONTAP audit logs to Dynatrace via the Log Ingest API v2. The real value: Dynatrace's Da…
High-Cardinality File Access Analysis with Honeycomb + OTel
TL;DR We built a serverless pipeline that ships FSx for ONTAP audit logs to Honeycomb, where its high-cardinality query engine turns file access data …
Sidemark: Active Telemetry Comments for C#
OpenTelemetry has quietly become table stakes. That's a good thing, but if you've instrumented a real codebase, you know the tax. A method that does o…
Decoding the Observability Pipeline: A Java Architect's Guide to Metrics, Logs, and Traces
If you’ve spent any time modernizing a Java-based microservices architecture recently, you’ve likely hit the "Observability Wall." The ecosystem is dr…
Структурированное логирование и трейсинг в Node.js: @cleverbrush/log и @cleverbrush/otel
Статья о том, как получить наблюдаемость (observability) в приложении с минимальным кодом, а бонусом получить структурированные логи с типизированными…
Unlocking Insights with Observability: My Journey with OpenTelemetry
Unlocking Insights with Observability: My Journey with OpenTelemetry As a Full Stack Engineer specializing in DevOps, AI Infrastructure, and Cloud, I'…
How to Monitor AI Agents in Production
TLDR Monitoring AI agents in production requires distributed tracing: a single user request fans out into 10 or more internal operations, and logs alo…