Performance Optimization — Complete Guide
Performance Optimization — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of AWS Cloud Tutorial on Toolliyo Academy.
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AWS Cloud Tutorial · Lesson 84 of 100
Performance Optimization
Core services ✓ → Projects
Projects · 2 — Deploy · ~10 min · AWS — AI, Performance & Cost
What is this?
Performance optimization tunes AWS workloads for latency, throughput, and cost using profiling, caching, right-sizing, and architecture changes.
Why should you care?
AwsVerse checkout p99 must stay under 300 ms during peak sales.
See it live — copy this example
Run in AWS CloudShell / local AWS CLI v2, or follow the matching steps in the AWS Console (Free Tier).
aws compute-optimizer get-ec2-instance-recommendations \
--instance-arns arn:aws:ec2:ap-south-1:123:instance/i-0abc123 \
--query 'instanceRecommendations[0].recommendationOptions[0].{type:InstanceType,savings:EstimatedMonthlySavings}'What happened?
- Compute Optimizer suggests smaller or larger instance type based on CloudWatch utilization history.
- Follow the steps below — typing the code yourself is the fastest way to learn.
Practice next
- Profile slow API with X-Ray trace.
- Add Redis cache for hot reads.
- Review Compute Optimizer rightsizing weekly.
- Enable RDS Performance Insights top SQL.
- Load test with Artillery against ALB.
Remember
Measure before optimizing. Cache, CDN, and async patterns. Right-size with data not guesses.
AwsVerse checkout tune
p99 latency 900 ms before sale.
Outcome: ElastiCache plus DB index cuts p99 to 220 ms.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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