Tutorials Cloud Computing Tutorial
Monitoring — Complete Guide
Monitoring — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of Cloud Computing Tutorial on Toolliyo Academy.
On this page
Cloud Computing Tutorial · Lesson 67 of 100
Monitoring
Foundations ✓ → Platform ✓ → Ops → Projects
Ops · 3 — DevOps, security, scale · ~10 min · Cloud — Security & Observability
What is this?
Monitoring tracks health metrics — CPU, latency, errors, saturation — so teams see problems before users do.
Why should you care?
CloudVerse SLO dashboards cover checkout latency and core banking API availability.
See it live — copy this example
Use AWS/Azure/GCP free tier or local Docker/Kind. Sketches and YAML are meant to be typed and adapted.
# Prometheus ServiceMonitor (CloudVerse)
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
name: payments-api
spec:
selector:
matchLabels: { app: payments-api }
endpoints:
- port: metrics
interval: 30s
path: /metricsWhat happened?
- Metrics are time-series numbers.
- RED (rate, errors, duration) suits services; USE suits infrastructure.
Practice next
- Expose /metrics from one service.
- Scrape with Prometheus or managed monitor.
- Build one Grafana panel.
- Add golden signals dashboard per squad.
- Record baseline before launch.
Remember
Metrics + SLOs. RED for services. Alert on user pain.
CloudVerse checkout SLO
p95 latency drifts above 800ms.
Outcome: Dashboard shows DB pool saturation; team scales.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
Sign in to ask a question or upvote helpful answers.
No questions yet — be the first to ask!
