What are the core concepts covered in Cloud Monitoring with Prometheus & Grafana?

Pull-based metrics collection with Prometheus /metrics endpoints; Writing PromQL queries (e.g. rate(http_requests_total[5m])); Building visual incident dashboards and Slack alerts with Grafana Alertmanager

Advanced 20 min readModule: Module 11: Monitoring & Logging with Prometheus & Grafana

Cloud Monitoring with Prometheus & Grafana

Scrape application metrics with Prometheus, query with PromQL, and build visual dashboards with Grafana.

What You Will Learn in This Lesson

Pull-based metrics collection with Prometheus /metrics endpoints
Writing PromQL queries (e.g. rate(http_requests_total[5m]))
Building visual incident dashboards and Slack alerts with Grafana Alertmanager

Introduction & Core Concept

Prometheus is an open-source systems monitoring and alerting toolkit that collects and stores metrics as time series data. Grafana provides visualization dashboards.

WHY DOES THIS MATTER IN THE REAL WORLD?

Visual dashboards display live CPU utilization, memory pressure, and HTTP 5xx error rate spikes in real time.

PromQL Error Rate Query

promql

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# Calculate HTTP 5xx error percentage over the last 5 minutes
sum(rate(http_requests_total{status=~"5.."}[5m])) 
/ 
sum(rate(http_requests_total[5m])) * 100

Line-by-Line Technical Breakdown

1Grafana Alertmanager sends instant alerts to on-call engineers via Slack or PagerDuty when thresholds trigger.

Try It Yourself (Interactive Editor)

Modify the code in real-time and click Run to test live browser output and console logs.

Intelligent Code Runner & Live Sandbox[PROMQL]

PROMQL SOURCE EDITOR

Interactive Live Code

>[PROMQL Runtime Initialized]

>Program compiled and executed with 0 errors.

>Output generated successfully.

Industry Best Practices & Professional Standards

Define Service Level Objectives (SLOs) and alert on error budget consumption.

Lesson Summary & Core Takeaways

Continuous monitoring and metrics ensure reliable, high-uptime operations.