# Edge Computing Concepts

> Chapter 57 of the Courseiva AZ-900 curriculum — https://courseiva.com/learn/az-900/edge-computing-concepts

**Official objective:** 1.5 — Cloud Concepts

## Introduction

This chapter covers edge computing concepts. AZ-900 tests under 1.5 at a high level.

## Computing Close to Users

Delivering data from a distant server is slow. Edge computing places computing and data closer to where it's used: networks, devices, the "edge," reducing latency.

## Core explanation

Edge computing processes data closer to where it's generated (devices, networks) rather than sending everything to a central cloud. Benefits include reduced latency and bandwidth.

## Real-world context

Autonomous vehicles process sensor data locally for immediate decisions, sending summaries to cloud for learning.

## Exam focus

Objective 1.5 expects awareness of edge computing as an architectural pattern.

## Step by step

1. **Identify latency-sensitive workloads** — Real-time applications needing low latency.
2. **Process at the edge** — Data is processed locally before sending to cloud.
3. **Send results** — Only results, not raw data, go to the central cloud.

## Key takeaways

- Processes data closer to source.
- Reduces latency and bandwidth.
- Complements cloud, not replaces it.

## FAQ

**What is edge computing?**

Processing data closer to where it's generated (devices, networks) rather than sending everything to central cloud, reducing latency and bandwidth.

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Interactive version with quiz and diagrams: https://courseiva.com/learn/az-900/edge-computing-concepts