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Dev.to
7/18/2026
Optimize Applications By Using AWS Services And Features | 🏗️ Build A Performance Optimisation Lab

Optimize Applications By Using AWS Services And Features | 🏗️ Build A Performance Optimisation Lab

Short summary

A detailed AWS certification prep guide covering Lambda concurrency types (unreserved, reserved, provisioned), memory-to-CPU proportional allocation, and caching strategies across edge, API, application, and database layers. Includes SNS filter policies for messaging optimization and a metrics reference table for diagnosing latency, throttling, and queue backlog issues. Ends with a lab exercise for hands-on performance tuning practice.

  • Lambda concurrency: reserved caps and protects, provisioned eliminates cold starts at idle cost
  • Memory tuning: 1,769 MB yields 1 full vCPU; higher memory can lower total cost for CPU-bound functions
  • Caching layers from CloudFront to DAX with cache-aside, write-through, and write-behind patterns

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