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Designing High-Performing Architectures on AWS

High-performing architectures select the right compute, storage, database, and network services to meet performance requirements efficiently. The SAA-C03 exam tests your ability to identify bottlenecks and apply AWS services to resolve them.

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Compute Performance

  • Choose EC2 instance families based on workload: compute-optimized (C-series) for CPU-intensive tasks, memory-optimized (R/X-series) for in-memory databases, storage-optimized (I/D-series) for high IOPS workloads.
  • Use Auto Scaling to match capacity to demand and avoid over- or under-provisioning.
  • AWS Lambda removes server management and scales automatically for event-driven workloads.

Storage Performance

  • Amazon EBS volume types matter: gp3 provides baseline 3,000 IOPS; io2 Block Express supports up to 256,000 IOPS for latency-sensitive databases.
  • Amazon S3 supports high throughput for object storage; use S3 Transfer Acceleration for faster uploads over long distances.
  • Amazon EFS provides scalable shared file storage; use Max I/O mode for highly parallel workloads.

Database Performance

  • Amazon RDS Read Replicas offload read traffic from the primary instance.
  • Amazon ElastiCache (Redis or Memcached) caches frequently accessed data, reducing database load and latency.
  • Amazon DynamoDB offers single-digit millisecond performance; use DynamoDB Accelerator (DAX) for microsecond read latency.
  • Amazon Aurora is up to 5× faster than standard MySQL and supports Aurora Replicas for read scaling.

Network Performance

  • Amazon CloudFront caches content at edge locations, reducing latency for end users globally.
  • Use Elastic Load Balancing (ALB/NLB) to distribute traffic and prevent single-instance bottlenecks.
  • Enhanced Networking (ENA) and placement groups (cluster placement) reduce network latency between EC2 instances.
  • AWS Global Accelerator routes traffic over the AWS backbone for improved global performance.

Key Design Principles

  • Decouple components using Amazon SQS or SNS to prevent one slow component from blocking others.
  • Use caching at multiple layers: CloudFront (edge), ElastiCache (application), and DAX (database).
  • Select the right storage tier: frequently accessed data on EBS or EFS; infrequent access on S3-IA or Glacier.
  • Monitor with Amazon CloudWatch and use metrics to identify and resolve performance bottlenecks proactively.

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