Description
Resilient Architectures on AWS with Practical Solutions
AWS resilient architecture best practices: Design highly available, fault-tolerant, and disaster-ready systems on AWS using practical, real-world solutions.
Course overview
This course teaches you how to architect resilient workloads on AWS by combining proven design patterns with hands-on implementation. You’ll apply fault tolerance, high availability, disaster recovery, and observability techniques across core AWS services, using reference architectures and step-by-step labs. By the end, you’ll confidently translate business continuity requirements into architecture blueprints, implement automated failover, and validate resilience with chaos testing and recovery runbooks.
What you will learn
- High availability patterns: Multi-AZ and multi-Region designs, health checks, and automated failover.
- Fault tolerance: Stateless services, retries, circuit breakers, and backpressure in distributed systems.
- Disaster recovery strategies: Backup/restore, warm standby, pilot light, and multi-Region active-active.
- Data resilience: Replication, durability, RPO/RTO alignment, and transaction integrity.
- Observability & automation: Metrics, logging, tracing, alarms, and infrastructure-as-code for repeatable deployments.
Who this course is for
Ideal for cloud architects, DevOps engineers, SREs, and technical leads who design, build, or operate production workloads on AWS. If uptime, reliability, and recovery time matter to your organization, this course gives you pragmatic patterns and checklists to raise resilience without unnecessary complexity.
Course curriculum
Module 1: Foundations of resilience on AWS
- Well-Architected principles: Reliability pillar, risk modeling, and SLAs/SLIs/SLOs.
- Requirements mapping: Translating business continuity into RTO/RPO targets.
Module 2: Core HA building blocks
- Compute: EC2 Auto Scaling, Load Balancing, managed services (ECS/EKS/Lambda).
- Networking: VPC design, subnets, NAT/IGW, Route 53 routing and health checks.
Module 3: Data durability and recovery
- Databases: RDS Multi-AZ/Read Replicas, Aurora global, DynamoDB global tables.
- Storage: S3 versioning, cross-Region replication, lifecycle policies, backup strategies.
Module 4: Multi-Region strategies
- Pilot light & warm standby: Cost-aware architectures with rapid scale-up.
- Active-active: Global routing, data consistency, and conflict resolution.
Module 5: Observability and automation
- Monitoring: CloudWatch metrics/alarms, distributed tracing, centralized logging.
- IaC: CloudFormation/Terraform patterns for repeatable, resilient deployments.
Module 6: Validation, testing, and operations
- Chaos engineering: Failure injection and game days.
- Runbooks: Incident response, failover drills, and post-incident reviews.
Hands-on labs
- Multi-AZ web tier: Build an Auto Scaling group behind an Application Load Balancer with health checks and rolling updates.
- Resilient data layer: Configure RDS Multi-AZ, backups, and point-in-time recovery with automated validation.
- Multi-Region failover: Use Route 53 routing policies for controlled failover and DNS health checks.
- Observability stack: Implement log aggregation, metrics dashboards, and alerting thresholds with runbook links.
Learning outcomes
- Blueprints you can reuse: Reference architectures and IaC snippets for common resilience scenarios.
- Measurable reliability: Align architecture with RTO/RPO and validate via drills and dashboards.
- Operational excellence: Clear runbooks and monitoring for faster detection and recovery.
- Cost-aware decisions: Balance resiliency, performance, and budget with defensible trade-offs.
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