Tutorials System Design Tutorial
Monitoring Large-Scale Systems — Complete Guide
Monitoring Large-Scale Systems — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of System Design Tutorial on Toolliyo Academy.
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System Design Tutorial · Lesson 67 of 100
Monitoring Large-Scale Systems
Basics ✓ → Scale → Interview
Scale · 2 — Distributed · ~10 min · Module 7: Security and Observability
What is this?
Monitoring watches known signals continuously — dashboards, alerts, capacity — to detect when SLOs burn.
Why should you care?
ShopNest cannot wait for Twitter complaints to learn checkout is down.
See it live — copy this example
Sketch the architecture on paper. These lessons focus on concepts and trade-offs.
Dashboards: golden signals per service + orders/min
Alerts: burn rate on checkout SLO; disk; lag
Avoid: page on every CPU blip
On-call: actionable runbooks linkedRun Example »
This lesson uses terminal or setup steps. Run commands on your computer — the live editor appears on coding lessons.
What happened?
- Alert on symptoms users feel and on precursors you trust.
- Dashboards for exploration; pages for urgency.
- Link runbooks.
Practice next
- Build a ShopNest checkout dashboard.
- Page on SLO burn, not raw CPU.
- Attach runbook URLs to alerts.
- Add Kafka lag panel.
- Silence flapping alerts with better thresholds.
Remember
Monitor user journeys. Alert on SLO burn. Keep alerts actionable.
Checkout burn alert
ShopNest pages when success rate drops.
Outcome: On-call follows a runbook before social media notices.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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