Every task green, zero errors, and the dashboard still shows yesterday's numbers. Run status describes your code, not your data. Here is how to instrument freshness, latency and failure rate so your pipeline tells you before an analyst does.
The rule went red at 02:04 and nobody found out until 09:15. Rule evaluation and notification delivery are two different systems, and only one of them is visible in the UI. A practical setup for Grafana alert notifications to email, Slack and Telegram, plus how to detect the day delivery quietly stops.
n8n's Prometheus endpoint tells you the process is alive and busy. It does not tell you a workflow stopped producing correct output. This post walks through the three failure families that slip past a default n8n dashboard, the PromQL that catches each one, and how to close the gap with a second source of truth from the executions API.
High I/O wait is a symptom, not a diagnosis. It rises when nothing is wrong and stays flat when something is badly wrong, and it only sees one layer of the storage stack. This is how to read iowait and PSI correctly, then work through the five failure families that actually produce storage stalls: device saturation, memory pressure, synchronous writes, throttling, and latency that lives above the block layer entirely.
Uptime checks and RUM measure different things, and each one is structurally blind to failures the other catches. A practical breakdown of what synthetic probes miss, why RUM goes quiet during a real outage, and how to combine them without paying for two overlapping platforms.
Green DAGs and wrong numbers are the same morning. This is how to build a data pipeline operations dashboard around the four questions that actually matter, where each signal comes from, and how to turn the panels into alerts that fire before your users notice.
Loki was fast until someone added one more label. Now queries time out during incidents and the index no longer fits in memory. Here's the model you have to internalise, what replaced Promtail, and how to keep labels, retention and storage costs under control.
Metrics tell you that something is wrong. Traces tell you where. Logs tell you why. Use them in that order and each step narrows the search — start with logs and you are grepping a firehose. Here is what each one is actually for, and the field that connects all three.
Two static binaries, a package and four systemd units. How to install Prometheus and Grafana on a single server from scratch, wire in node_exporter, put nginx and TLS in front, and keep the ports that have no authentication off the public internet.
Docker containers rarely fail without leaving clues. This practical guide explores common Docker issues involving networking, storage, permissions, ports, logs, health checks, reverse proxies, and resource usage—and explains how to troubleshoot them methodically.