Performance Optimization
Description
Comprehensive understanding of performance optimization strategies across compute, storage, networking, and database services for high-performing AWS architectures.
Learning Objectives
Learners will master performance optimization techniques including selecting appropriate instance types and storage options, implementing caching strategies, optimizing network performance, database performance tuning, monitoring performance metrics, implementing auto scaling strategies, and designing high-performance architectures that meet demanding performance requirements.
Topics (8)
Performance design principles, bottleneck identification, performance testing strategies, and establishing performance baselines and SLAs.
Instance type selection, placement groups, enhanced networking, CPU optimization, memory optimization, and compute performance monitoring.
RDS performance tuning, DynamoDB optimization, read replicas, connection pooling, query optimization, and database caching strategies.
VPC network optimization, enhanced networking, placement groups, CloudFront optimization, and reducing network latency.
ElastiCache Redis and Memcached, CloudFront caching, application caching patterns, cache invalidation strategies, and cache performance monitoring.
Performance metrics collection, CloudWatch insights, X-Ray tracing, performance analysis techniques, and establishing performance KPIs.
EBS performance optimization, S3 performance patterns, EFS performance modes, storage caching strategies, and I/O optimization techniques.
Predictive scaling, application auto scaling, performance-based scaling policies, automation strategies, and performance optimization workflows.