AWS Development for Secure Cloud Architectures

AWS Lambda fundamentally changes how we architect event-driven systems. We design functions with cold start optimization — keeping package sizes under 5 MB, using provisioned concurrency for latency-sensitive endpoints, and structuring code for the Lambda execution model. Combined with API Gateway, SQS queues, and EventBridge for event routing, serverless architectures on AWS eliminate server management while scaling automatically from zero to thousands of concurrent executions without any capacity planning.

For container workloads, ECS with Fargate provides a simpler operational model than self-managed Kubernetes. We configure task definitions with proper CPU and memory reservations, implement service discovery through Cloud Map, and use Application Load Balancers with path-based routing for microservice architectures. RDS Multi-AZ deployments with read replicas handle database needs, while Aurora Serverless v2 scales database capacity automatically for workloads with unpredictable traffic patterns throughout the day.

Cost optimization on AWS follows the Well-Architected Framework's cost pillar systematically. We implement Savings Plans based on actual compute usage analysis, configure S3 Intelligent-Tiering for storage that automatically moves infrequently accessed objects to cheaper tiers, and use Spot Instances for fault-tolerant batch processing workloads. AWS Cost Explorer with custom reports and budgets with SNS alerting ensures teams maintain visibility and control over cloud spending as infrastructure scales.