I pentested my own AI hub and shipped the method, not the map
I ran a penetration test on my own infrastructure last week. No Burp Suite, no exploit fired at production, no CVE popped. The whole engagement came…
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Read Your AI Agent's Mind. OpenSearch Observability for LLM Traces.
You shipped your AI agent. It answers questions, calls tools, retrieves documents, and mostly does the right thing. Mostly. When it does the wrong t…
Observability - A Counter in RAM, an ID in a Header, and a Batch Export
For a long time, my mental model of observability was this: you import an SDK, sprinkle some calls through your code, each call fires off data to a…
My First Day With OpenTelemetry: Spans That Arrive but Measure Nothing
How this piece came together. A Zenn writing contest put OpenTelemetry back on my radar, and this is the record of learning it by doing — picking it…
I Thought Building Agent Observability Was a Detector Problem. I Was Wrong.
When I started building agent-exec-trace , I thought I knew where the difficulty would be. OSS agent-exec-trace is an observability layer for AI age…
My LLM app was fully traced. During an incident the trace was still useless.
A regression came in for our German enterprise users on the support agent. Quality had dropped for that one cohort, and I opened the trace store exp…
Agentic DevOps Needs Observability: Trace GitHub Copilot with OpenTelemetry
Agentic DevOps Needs Observability: Trace GitHub Copilot with OpenTelemetry An agent can read files, call a model, run tools, delegate to a subagent…
Refactoring OpenTelemetry Metrics: from God Class to Per-Subsystem Modules
The constraint that shapes everything A refactor that recently landed in a codebase I work in replaced our metrics god class with per-subsystem modu…
Adding Idempotency to OTLP Metrics Exports in Heka Insights Agent
When metrics exporters retry failed requests, they can accidentally create a subtle but serious problem: duplicate ingestion. That was the motivatio…
Your RAG Index Might Be Lying to You: Data Freshness Is the Missing Signal for AI Systems
A follow-up to How Old Is My Data? The failure mode that gets worse when a machine is reading the data In a classic dashboard, stale data is a human…
Manage OTel Collectors at Scale with OpAMP
If you run more than a handful of OpenTelemetry Collectors, you already know the pain: a config change means SSHing into boxes, redeploying DaemonSe…
Go - Traces vs logs, and the four ways I got a trace tree wrong
Metrics and logs were the easy part, and I wasn't ready for traces. It took me a while to get it, first getting a grasp on the vocabulary, then putt…
Go - Sending traces, logs and metrics to the Victoria* stack
The VictoriaMetrics folks now have a component for each OTel signal: VictoriaMetrics for metrics, VictoriaLogs for logs, and VictoriaTraces for trac…
Tracing a multi-agent LLM system: otel-swarm and a SigNoz dashboard pack
The problem A single LLM call is easy to reason about. You send a prompt, you get tokens back, you log the latency and you move on. A swarm is not t…
We made SigNoz's LLM observability actually reachable…
-and added the one signal it was missing Track 01 — AI & Agent Observability. A hackathon project built from scratch, July 20–26, 2026. There's…
Our incident-response agent got the root cause wrong 7 times out of 12. It still never made a bad rollback.
We ran Agent K against 12 seeded production incidents. It named the correct root cause 5 times out of 12 — 3 out of 9 if you discard the runs we cou…
We Asked SigNoz How to Flag a Hallucinating Agent. They Said "We Haven't Figured That Out." So We Did.
By Team ThunderBoltz · Agents of SigNoz Hackathon · Track 1: AI & Agent Observability In the kickoff Q&A for the Agents of SigNoz hackathon,…
We instrumented an AI agent swarm with SigNoz, and its own telemetry told us we were wrong about almost everything
Built for the WeMakeDevs Agents of SigNoz hackathon, July 2026. Mission Control. The graph is the swarm, the river underneath it is the live span st…
Introducing Gubernator: The Goldilocks Container Orchestrator (Docker Swarm + Nomad Hybrid)
Introducing Gubernator: The Goldilocks Container Orchestrator Gubernator combines the simplicity of Docker Swarm with the flexibility of Nomad. Tech…
When Your AI Agent Handles Money, "It Worked" Isn't Good Enough
Three verifier agents. One milestone. Real ETH at stake. The first time I ran the consensus loop without tracing, a silent timeout in the peer broad…
Building an Incident Triage Agent with Full Observability in SigNoz
The problem: AI agents are black boxes AI agents chain LLM calls and tool calls together to make decisions. But when something goes wrong — a slow r…
Mackerel's Log Feature Just Opened in Beta — Here's What It Takes to Wire It Into an OTLP Pipeline
TL;DR Mackerel — Hatena's Japan-origin observability platform — opened its log feature as public beta on July 16, 2026 . In response, this repositor…
Fixing a 20s Kubernetes API Lag in 15 Minutes with OpenTelemetry
Our Kubernetes API was suddenly taking 20 seconds to respond, but traditional pod metrics showed healthy CPU and memory. I needed true observability…
The Dashboard Said My AI Team Finished. One Agent Never Even Started.
How SigNoz exposed a silent handoff failure inside a multi-agent AI workflow My AI workflow reported that the task was complete. The API returned 20…
Instrumenting an AI-Powered GitHub Analyzer with OpenTelemetry and SigNoz
This article is my submission for the Agents of SigNoz Hackathon : Blog Track, where participants instrument real applications with OpenTelemetry an…
Left of the Loop: The Kybernetes
The kybernetes was the helmsman who steered a Greek ship, reading the wind and working the steering-oar to hold a course. The word is the root of tw…
GitHub lets enterprises pin Copilot's OpenTelemetry endpoint
Where Copilot's telemetry stream lands, decided centrally GitHub added a control on July 8 that lets an enterprise mandate where the Copilot Chat ex…
I Traced a Multi-Step LLM Agent With Self-Hosted SigNoz. One Feature Sold Me.
Multi-step LLM agents fail in a way normal backends don't. Nothing crashes. The pipeline "works", the answer is just bad, slow or three times more e…
When an LLM answer is wrong, the trace is where you look. Some tools make that easy.
A user reports a hallucinated answer in prod. To fix it you need the full trace of that one request, and how fast you can pull it depends entirely o…
Mastering Production Reliability: Practical Observability with OpenTelemetry, Prometheus, and GitHub Actions
In modern software engineering, traditional monitoring — simply knowing if a system is up or down — is no longer enough. High-velocity engineering t…