Tutorials Cloud Computing Tutorial
Resource Optimization — Complete Guide
Resource Optimization — 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 89 of 100
Resource Optimization
Foundations ✓ → Platform ✓ → Ops ✓ → Projects
Projects · 4 — CloudVerse builds · ~10 min · Cloud — AI, Performance & Cost
What is this?
Resource optimization matches CPU, memory, and storage to actual utilization — requests, limits, and SKU choices.
Why should you care?
CloudVerse K8s pods were request-heavy; VPA recommendations cut node count 30%.
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.
# Vertical Pod Autoscaler recommendation mode (CloudVerse)
apiVersion: autoscaling.k8s.io/v1
kind: VerticalPodAutoscaler
metadata:
name: orders-api-vpa
spec:
targetRef:
apiVersion: apps/v1
kind: Deployment
name: orders-api
updatePolicy:
updateMode: "Off"
# Review recommendations before setting requests/limitsWhat happened?
- Measure utilization over weeks including peaks.
- Right-size before buying bigger hardware.
Practice next
- Install metrics-server or monitor.
- Export 30-day CPU/RAM graphs.
- Adjust requests/limits.
- Enable cluster autoscaler after right-sizing pods.
- Shrink over-provisioned DB tier one step.
Remember
Requests reflect real use. Review VPA/metrics monthly. Clean orphaned resources.
CloudVerse node shrink
AKS nodes at 25% avg CPU.
Outcome: Right-sized requests; cluster autoscaler removes 4 nodes.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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