Metrics

Cloud Monitoring Basics

Learn how Google Cloud Monitoring collects metrics, logs, and traces so you can observe the health and performance of resources running on GCP.

Azure Monitor Basics

A practical introduction to Azure Monitor: how it collects metrics and logs, fires alerts, and gives you visibility into application and infrastructure health.

CloudWatch Monitoring Basics

Learn how Amazon CloudWatch collects metrics and logs from your AWS resources, and how to build alarms that alert you before small issues become outages.

OS Quick Reference

A consolidated reference summary of the core operating systems concepts, metrics, and algorithms covered in this course.

Confusion Matrix and Classification Metrics

A structured breakdown of correct and incorrect predictions by class, forming the foundation for accuracy, precision, recall, and other classification metrics.

k-Nearest Neighbors (k-NN)

Explains the instance-based k-NN algorithm, which classifies or predicts based on the majority vote or average of the k closest training examples.

Auto-Scaling Basics

Introduces how systems automatically add or remove capacity in response to demand, covering triggers, scaling policies, and common pitfalls.

What is Monitoring vs Observability?

Monitoring is watching a predefined set of metrics and alerts to detect known failure conditions, while observability is the broader capability to ask arbitrar…

What is OpenTelemetry?

OpenTelemetry is a vendor-neutral open-source standard — a set of APIs, SDKs, and a collector agent — for generating, collecting, and exporting metrics, logs,…

What Are Metrics, Logs, and Traces?

Metrics, logs, and traces are the three pillars of observability: metrics are aggregated numeric time-series data showing system health at a glance, logs are t…

What is the Difference Between a Grafana Dashboard and a Panel?

A Grafana dashboard is the overall page — a saved collection of visualizations, layout, and shared settings like time range and template variables — while a pa…