High Availability and Fault Tolerance
Description
Comprehensive understanding of designing highly available and fault-tolerant architectures using AWS services for maximum uptime and resilience.
Learning Objectives
Learners will master high availability concepts including designing multi-AZ architectures, implementing load balancing and auto scaling, configuring health checks and monitoring, designing circuit breaker patterns, implementing graceful degradation strategies, and creating resilient architectures that can withstand various failure scenarios while maintaining service availability.
Topics (7)
HA fundamentals, fault isolation, redundancy strategies, graceful degradation, circuit breaker patterns, and understanding failure modes.
Multi-AZ deployment patterns, cross-region replication, data synchronization strategies, and implementing geographically distributed architectures.
Predictive scaling, scheduled scaling, target tracking, step scaling, auto scaling across multiple dimensions, and implementing elasticity best practices.
Application health checks, infrastructure monitoring, synthetic monitoring, health check strategies, and automated recovery mechanisms.
Chaos engineering principles, failure injection techniques, resilience testing methodologies, and implementing continuous resilience validation.
Application Load Balancer advanced features, Network Load Balancer, Global Load Balancer, health checks, target group configurations, and traffic routing algorithms.
RDS Multi-AZ configurations, read replica strategies, Aurora clustering, DynamoDB global tables, and database failover mechanisms.