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cloud Intermediate 21 lessons

Prometheus & Grafana

Master modern observability. Collect time-series metrics with Prometheus and build stunning visualization dashboards with Grafana.

Monitoring is about health; Observability is about understanding. This course teaches the industry-standard open-source stack for metrics. You will learn to instrument applications to expose metrics, configure Prometheus to scrape them, and write queries using PromQL. Master Grafana to visualize this data in rich, interactive dashboards. We also cover configuring Alertmanager to notify teams via Slack or PagerDuty when things go wrong. Critical for Site Reliability Engineering (SRE).

100% Free & Lifetime Access
⏱️ 5-Minute Lessons (Bite-sized learning)
🚀 21-Lesson Path (Independent modules)
📱 Mobile Friendly (Learn anywhere)
Observability
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Secure Enrollment via SSL

Complete Course Syllabus

  • 1
    Architecture
    Pull-based model, exporters, and the time-series DB.
  • 2
    PromQL Basics
    Vectors, scalars, and aggregating metric data.
  • 3
    Grafana Visualization
    Connecting data sources and building panels.
  • 4
    Alerting
    Writing rules and routing notifications to Slack.
  • 5
    Exporters
    Monitoring Linux servers and databases effortlessly.

Estimated completion time: 21 lessons • Self-paced learning • Lifetime access

Career Outlook

Estimated Salary
$110k - $150k

Career Paths

Site Reliability Engineer $130k-$175k
Platform Engineer $125k-$165k
Monitoring Specialist $110k-$145k

What You Will Learn

Instrument applications to expose custom metrics
Write complex queries using PromQL for data analysis
Design interactive Grafana dashboards for system monitoring
Configure intelligent alerting rules to reduce noise
Operate and scale the Prometheus server in production

Skills You Will Gain

Prometheus Grafana PromQL Alerting SRE Principles

Who Is This For

DevOps Engineers
SREs
System Administrators

Prerequisites

Linux Basics
Container concepts

Prometheus & Grafana FAQs

Logging vs Metrics?

This course focuses on Metrics (numerical data).

Cloud specific?

No, runs on-prem, AWS, or anywhere.

Hard to setup?

We use Docker Compose for instant lab setup.

APM included?

Focus is infrastructure/app metrics, not deep tracing.

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