Tutorials Cloud Computing Tutorial
Horizontal Scaling — Complete Guide
Horizontal Scaling — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of Cloud Computing Tutorial on Toolliyo Academy.
On this page
Cloud Computing Tutorial · Lesson 71 of 100
Horizontal Scaling
Foundations ✓ → Platform ✓ → Ops → Projects
Ops · 3 — DevOps, security, scale · ~10 min · Cloud — Scalability & Distributed Systems
What is this?
Horizontal scaling adds more instances to handle load instead of enlarging one machine.
Why should you care?
CloudVerse storefront adds API replicas during sales — same size pods, more count.
See it live — copy this example
Use AWS/Azure/GCP free tier or local Docker/Kind. Sketches and YAML are meant to be typed and adapted.
# Kubernetes Deployment scale (CloudVerse)
apiVersion: apps/v1
kind: Deployment
metadata:
name: storefront-api
spec:
replicas: 6
selector:
matchLabels: { app: storefront-api }
template:
metadata:
labels: { app: storefront-api }
spec:
containers:
- name: api
image: cloudverse/storefront:2.4.1
resources:
requests: { cpu: "250m", memory: "512Mi" }
limits: { cpu: "500m", memory: "1Gi" }What happened?
- Stateless services scale out easily.
- Session stickiness or shared cache needed if sessions are local.
Practice next
- Load-test with 1 vs 4 replicas.
- Watch p95 latency.
- Ensure app is stateless.
- Add HPA on CPU or RPS.
- Externalize session to Redis.
Remember
More instances, same size. Needs stateless design. Load balancer distributes.
CloudVerse sale day
Traffic 5× normal for four hours.
Outcome: Replica count rises; latency stays flat.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
Sign in to ask a question or upvote helpful answers.
No questions yet — be the first to ask!
