It’s 2:14 AM. A synthetic check just failed. What you do next (and how long it takes) depends almost entirely on whether your monitoring data lives in one place or five. This final post in Season 2 covers three topics
If your monitoring only catches spikes, you’re missing at least half of production failures. The other half arrive differently — as quiet level shifts after deployments, or as slow drift that accumulates over weeks without a single measurement ever looking
An LLM endpoint can return a 200 OK, deliver valid JSON, and still be completely wrong. The failure modes that matter most for AI workloads are the ones that standard synthetic checks were never designed to detect. This isn’t a
External synthetic monitoring answers one question: what do your users experience? When the problem lives inside your own infrastructure — between your data centers, across your WAN links — external probes can identify a symptom but can’t locate the cause.
Most monitoring teams are running four separate tools. That’s not a process problem — it’s an architecture problem. And during an incident, it costs you time you don’t have. Synthetic monitoring tells you what users experience. SNMP tells you what
Twenty-four videos. Nine posts. From the first ping command written in 1983 to ML-enhanced anomaly detection running across six continents. This final post assembles everything into a single, production-ready monitoring architecture. We’re going to design monitoring for a real SaaS
If your team has learned to ignore alerts, your monitoring is worse than useless. It’s providing false confidence. Alert fatigue is one of the most corrosive problems in operations — and it almost always starts with static thresholds. This post
External checks tell you if the internet is working. Probe-to-probe checks tell you if your network is working. That’s a fundamentally different — and often more valuable — question. This post covers three interconnected topics that together define how production-grade
Passive monitoring waits for your infrastructure to report a problem. Active measurement asks the infrastructure whether it has one — before anyone else does. That distinction sounds subtle. In practice, it changes everything about how quickly problems get caught, how
When two engineers measure “throughput,” they need to agree on what that word means. The RFCs covered in this post gave the industry that common language — and transformed manual diagnostic commands into the foundation of modern automated testing. This
