Tutorials Cloud Computing Tutorial
Vertical Scaling — Complete Guide
Vertical Scaling — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of Cloud Computing Tutorial on Toolliyo Academy.
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Cloud Computing Tutorial · Lesson 72 of 100
Vertical Scaling
Foundations ✓ → Platform ✓ → Ops → Projects
Ops · 3 — DevOps, security, scale · ~10 min · Cloud — Scalability & Distributed Systems
What is this?
Vertical scaling increases CPU, RAM, or disk on existing instances — simpler but has upper limits.
Why should you care?
CloudVerse legacy monolith DB temporarily gets a larger SKU before sharding project completes.
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.
# Azure CLI — resize VM (CloudVerse batch worker)
az vm resize \
--resource-group rg-cloudverse-batch \
--name vm-erp-worker \
--size Standard_D8s_v5
# Downtime may occur — plan maintenance window
What happened?
- Good for quick relief on monoliths; bad as only long-term strategy.
- Cloud limits max VM size per family.
Practice next
- Baseline CPU/RAM on one VM.
- Resize in maintenance window.
- Re-run benchmark.
- Compare vertical vs horizontal cost for same throughput.
- Enable memory metrics before resize.
Remember
Bigger machine, same count. Quick fix. Plan ceiling.
CloudVerse ERP worker
Nightly job OOM on D4.
Outcome: D8 finishes batch; team plans queue-based refactor.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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