Designing a Monitoring System with Elastic Stack | Capstone Walkthrough

Monitoring isn’t about tools — it’s about making problems visible before users report them.

In this capstone project, I bring together everything covered in the Monitoring with Elastic Stack series and walk through a practical, production-inspired monitoring workflow using Elasticsearch, Kibana, and custom metrics.

Instead of focusing on setup tutorials, this video explains how the pieces fit together — from metric collection to dashboards — and how engineers actually use monitoring data to reason about system behavior.

What you’ll learn in this video:

- The high-level architecture of a real monitoring system
- How production monitoring setups differ from simplified learning environments
- Why logs and metrics exist — and when to use each
- A typical monitoring workflow used in real systems
- How to build dashboards that surface real problems
- How to interpret dashboards instead of just “looking at charts”

This video is ideal for backend engineers, SREs, and anyone who wants to understand monitoring as a system, not just a tool.

📌 Code is shown directly from the repository — slides focus on concepts and workflows.

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🔗 Related Resources
- Source Code
https://github.com/anasanjaria/monitoring-course/tree/main/demo-project
- Monitoring with Elastic Stack (Series)
https://www.youtube.com/playlist?list=PLg9960yGyXzqDBh_jAFKL6yLYHQmVClFH
#monitoring #monitoringtools #observability #backendengineering #sre #elasticsearch #kibana

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⏱ Timestamps

0:00 Intro to existing monitoring series
0:24 High-level architecture — what we’re building
2:18 Zooming into the metric collector
3:16 Production vs course setup (important note)
4:19 Logs vs metrics — purpose and trade-offs
5:13 Typical monitoring workflow
7:30 Core objective — making problems visible
9:23 Code walkthrough
12:39 Building dashboards & visuals
30:03 How to interpret dashboards

Видео Designing a Monitoring System with Elastic Stack | Capstone Walkthrough канала Anas Anjaria