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title: From Symptoms to Systems: Understanding Observability
description: A conceptual breakdown of the difference between monitoring and observability, told through two analogies: a car breakdown story and a Black Friday production...
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# From Symptoms to Systems: Understanding Observability

**[SitePoint](https://daily.dev/sources/sitepoint)** · 7 min read · 0 upvotes · 0 comments

## Summary

A conceptual breakdown of the difference between monitoring and observability, told through two analogies: a car breakdown story and a Black Friday production incident. Monitoring tracks predefined metrics and alerts on known thresholds, but leaves engineers blind when failures occur in unexpected ways. Observability instruments systems to emit rich telemetry — Metrics, Events, Logs, and Traces (M.E.L.T.) — enabling engineers to ask arbitrary questions and pinpoint root causes like a dropped database index causing a slow table scan. The comparison shows observability reducing incident resolution from nearly two hours to 7 minutes in a realistic Kubernetes e-commerce scenario.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.sitepoint.com/from-symptoms-to-systems-understanding-observability>

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---

Tags: [#devops](https://daily.dev/tags/devops), [#observability](https://daily.dev/tags/observability), [#microservices](https://daily.dev/tags/microservices), [#monitoring](https://daily.dev/tags/monitoring), [#distributed-systems](https://daily.dev/tags/distributed-systems)

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