Architecture Pillars¶

Overview¶

The AWS Well-Architected Framework provides a consistent approach to evaluating architectures against best practices and design principles. At the professional level, you must demonstrate deep understanding of advanced architectural patterns, trade-offs between pillars, and how to apply these principles across complex enterprise environments, multi-account structures, and hybrid deployments.

The six pillars - Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability - must be balanced against business requirements, technical constraints, and organizational complexity.

Key Concepts¶

Operational Excellence¶

Advanced Automation & IaC - Multi-region infrastructure as code deployment strategies - GitOps workflows with AWS CodePipeline, CodeBuild, and third-party tools - Self-healing architectures using AWS Systems Manager, Lambda, and EventBridge - Automated compliance checking with AWS Config Rules and custom Lambda functions - Infrastructure drift detection and remediation - Cross-account deployment pipelines using AWS Organizations and CloudFormation StackSets

Observability at Scale - Centralized logging architecture using Amazon CloudWatch Logs, S3, and OpenSearch - Distributed tracing with AWS X-Ray across microservices and serverless applications - Custom metrics and anomaly detection using CloudWatch Insights and Contributor Insights - Multi-account observability using CloudWatch cross-account dashboards - Integration with third-party APM tools (Datadog, New Relic, Dynatrace)

Operational Runbooks & Playbooks - AWS Systems Manager Automation documents for incident response - Integration with incident management tools (PagerDuty, Opsgenie) - Chaos engineering practices using AWS Fault Injection Simulator - Game days and disaster recovery testing automation

Security¶

Defense in Depth - Multi-layer security controls across network, application, and data layers - Zero-trust architecture implementation using AWS IAM Identity Center, Verified Access - Encryption at rest and in transit across all data stores - Key management strategies using AWS KMS, CloudHSM, and external key stores - Secrets rotation automation with AWS Secrets Manager

Identity & Access Management at Scale - AWS Organizations SCP strategies for preventive controls - Permission boundaries for delegated administration - Service control policies for regulatory compliance - Cross-account access patterns using IAM roles and resource-based policies - Attribute-based access control (ABAC) implementation - Integration with external identity providers (SAML, OIDC)

Threat Detection & Response - Amazon GuardDuty for continuous threat detection - AWS Security Hub for centralized security findings - Amazon Detective for security investigation - Amazon Macie for sensitive data discovery and protection - Automated response using EventBridge and Lambda - Integration with SIEM platforms

Reliability¶

High Availability Architecture - Multi-AZ deployments with automatic failover mechanisms - Multi-region active-active and active-passive patterns - Regional service quotas and capacity planning - Dependency isolation and bulkhead patterns - Circuit breaker implementations using AWS App Mesh

Disaster Recovery Strategies - Backup and Restore (RPO hours, RTO 24 hours): Automated backups to S3, snapshots - Pilot Light (RPO minutes, RTO hours): Minimal core infrastructure always running - Warm Standby (RPO seconds, RTO minutes): Scaled-down version running - Multi-Site Active-Active (RPO near-zero, RTO near-zero): Full capacity in multiple regions - Cross-region replication strategies for databases, S3, and EBS volumes - AWS Elastic Disaster Recovery (CloudEndure) for application-level DR

Resilience Testing - AWS Fault Injection Simulator for controlled chaos engineering - Load testing strategies using distributed testing tools - Recovery time validation through automated testing - Dependency failure simulation

Performance Efficiency¶

Compute Optimization - Right-sizing strategies using AWS Compute Optimizer - Graviton processor migration for price-performance optimization - Container orchestration with ECS, EKS, and Fargate - Serverless compute patterns with Lambda, Step Functions - GPU and ML accelerator instances for specialized workloads - HPC architectures using AWS ParallelCluster and Batch

Data Access Patterns - Multi-tier caching strategies (CloudFront, ElastiCache, DAX, application cache) - Content delivery optimization with Amazon CloudFront - Database query optimization and indexing strategies - Read replica strategies for read-heavy workloads - Data partitioning and sharding patterns

Network Performance - VPC design for minimal latency - AWS Global Accelerator for global traffic routing - Enhanced networking (ENA, EFA) for high-throughput applications - Direct Connect and VPN optimization - Transit Gateway for hub-and-spoke architectures

Cost Optimization¶

Resource Lifecycle Management - Reserved Instances and Savings Plans strategy across multiple accounts - Spot Instance integration for fault-tolerant workloads - Automated resource scheduling using Lambda and Instance Scheduler - Data lifecycle policies for S3, EBS, and RDS - Unused resource identification using AWS Cost Explorer and Trusted Advisor

Architectural Cost Optimization - Serverless-first approaches to eliminate idle capacity costs - Auto Scaling policies aligned with business metrics - Multi-tenancy patterns for resource sharing - Data transfer cost optimization strategies - Storage class optimization (S3 Intelligent-Tiering, Glacier)

FinOps Practices - Chargeback and showback models using AWS Cost Allocation Tags - Budget alerts and anomaly detection with AWS Budgets - Cost optimization recommendations using AWS Compute Optimizer and Cost Explorer - Reserved capacity planning and management

Sustainability¶

Energy Efficiency - Region selection based on carbon footprint (AWS Customer Carbon Footprint Tool) - Graviton processors for improved energy efficiency - Serverless architectures to minimize idle resources - Auto Scaling to match demand with supply

Resource Utilization - Right-sizing to eliminate over-provisioning - Data lifecycle management to reduce unnecessary storage - Efficient code patterns and algorithms - Shared resource models

AWS Services Reference¶

Core Services¶

AWS Well-Architected Tool - Automated workload assessments against the six pillars - Custom lenses for industry-specific best practices - Continuous monitoring and improvement tracking - Integration with AWS Trusted Advisor

AWS Trusted Advisor - Real-time guidance across cost optimization, performance, security, fault tolerance - Business and Enterprise Support tier features - Programmatic access via AWS Support API - Integration with EventBridge for automated remediation

AWS Control Tower - Landing zone setup for multi-account environments - Guardrails (preventive and detective controls) - Account Factory for automated account provisioning - Centralized governance and compliance

Supporting Services¶

AWS Config - Resource inventory and configuration history - Compliance checking with Config Rules - Conformance packs for regulatory frameworks - Multi-account aggregation

AWS CloudFormation - Infrastructure as code across all AWS resources - StackSets for multi-account/multi-region deployment - Drift detection and remediation - Custom resources using Lambda

AWS Service Catalog - Self-service provisioning with governance controls - Portfolio management and sharing - Product versioning and constraints - Integration with AWS Organizations

Architecture Patterns¶

Pattern 1: Multi-Account Landing Zone¶

Use Case - Enterprise organization requiring separation of workloads, environments, and teams - Regulatory compliance requirements (HIPAA, PCI-DSS, FedRAMP) - Cost allocation and chargeback models - Blast radius reduction and security isolation

Implementation Approach - AWS Organizations with organizational units (OUs) structure: - Security OU (Log Archive, Security Tooling accounts) - Infrastructure OU (Network, Shared Services accounts) - Workload OUs (Development, Staging, Production) - AWS Control Tower for automated account creation and governance - Centralized logging to S3 in Log Archive account - AWS IAM Identity Center for federated access - Service Control Policies for preventive controls - AWS Config Conformance Packs for detective controls

Pros/Cons - Pros: Strong security boundaries, clear cost allocation, regulatory compliance, blast radius containment - Cons: Increased operational complexity, cross-account networking overhead, service quota management, higher learning curve

Pattern 2: Hub-and-Spoke Network Architecture¶

Use Case - Centralized networking and security controls - Shared services (Active Directory, DNS, monitoring) - Hybrid connectivity to on-premises data centers - Transitive routing between VPCs and on-premises

Implementation Approach - AWS Transit Gateway as central hub - Spoke VPCs attached to Transit Gateway - Centralized egress VPC for internet traffic (NAT Gateway, proxy servers) - AWS Direct Connect or Site-to-Site VPN to on-premises - Centralized inspection VPC with third-party firewall appliances - Route table configuration for traffic flow control - Transit Gateway route tables for segmentation

Pros/Cons - Pros: Simplified network management, centralized security controls, scalable to thousands of VPCs, reduced operational overhead - Cons: Single point of failure (mitigated with multi-AZ), Transit Gateway costs, potential bottleneck for high-throughput workloads

Pattern 3: Event-Driven Microservices¶

Use Case - Loosely coupled, independently deployable services - Asynchronous communication patterns - Scale components independently based on demand - Resilient to downstream service failures

Implementation Approach - Amazon EventBridge for event routing and filtering - Amazon SNS for fan-out messaging patterns - Amazon SQS for durable message queuing - AWS Lambda or ECS/EKS for compute - Amazon DynamoDB or RDS for data persistence - AWS Step Functions for orchestration - API Gateway for synchronous API endpoints - AWS App Mesh for service mesh capabilities

Pros/Cons - Pros: High scalability, fault isolation, technology diversity, independent deployment cycles - Cons: Increased complexity, distributed tracing challenges, eventual consistency, debugging difficulty

Pattern 4: Multi-Region Active-Active¶

Use Case - Global applications requiring low latency worldwide - High availability with regional failure tolerance - Compliance requirements for data residency - Business continuity requirements

Implementation Approach - Application deployed in multiple AWS regions - Amazon Route 53 with latency-based or geolocation routing - DynamoDB Global Tables for multi-region replication - Aurora Global Database for PostgreSQL/MySQL - S3 Cross-Region Replication for object storage - CloudFront for edge caching and DDoS protection - Regional health checks and automated failover - Data consistency strategy (eventual vs. strong consistency)

Pros/Cons - Pros: Near-zero RTO, low latency globally, regional failure tolerance, improved user experience - Cons: Significantly higher costs, data consistency challenges, complex deployment pipelines, cross-region data transfer costs

Pattern 5: Data Lake Architecture¶

Use Case - Centralized repository for structured and unstructured data - Analytics, machine learning, and business intelligence - Cost-effective storage of historical data - Diverse data sources and formats

Implementation Approach - Amazon S3 as primary data store (Raw, Processed, Curated zones) - AWS Lake Formation for access control and governance - AWS Glue for ETL and data catalog - Amazon Athena for ad-hoc SQL queries - Amazon Redshift Spectrum for data warehouse queries - Amazon EMR for big data processing (Spark, Hadoop) - Amazon QuickSight for visualization - AWS DataSync or Transfer Family for data ingestion - Encryption at rest and in transit - Lifecycle policies for cost optimization

Pros/Cons - Pros: Cost-effective storage, schema-on-read flexibility, unified data platform, integrates with diverse analytics tools - Cons: Governance complexity, performance tuning required, security configuration complexity, steep learning curve

Best Practices¶

Enterprise-Level Recommendations¶

Architecture Review Process - Conduct Well-Architected reviews quarterly or after major changes - Involve cross-functional teams (architecture, security, operations, finance) - Document architectural decision records (ADRs) - Track improvement items and remediation progress - Leverage AWS Solutions Architects for complex scenarios

Multi-Account Strategy - Separate accounts for environments (dev, test, prod) - Dedicated security accounts (Log Archive, Security Tooling) - Centralized billing with consolidated invoicing - Service Control Policies for security and compliance guardrails - Automated account provisioning with AWS Control Tower

Automation First - Infrastructure as Code for all resources (CloudFormation, Terraform, CDK) - Automated testing of infrastructure changes - CI/CD pipelines for application and infrastructure - Automated compliance checking and remediation - Self-service portals using AWS Service Catalog

Security Considerations¶

Least Privilege Access - IAM roles over long-term access keys - Permission boundaries for delegated administration - Regular access reviews and credential rotation - Just-in-time access mechanisms - Separation of duties for sensitive operations

Data Protection - Encryption at rest for all data stores (S3, EBS, RDS, DynamoDB) - TLS 1.2+ for data in transit - AWS KMS customer-managed keys for sensitive data - AWS CloudHSM for FIPS 140-2 Level 3 requirements - Tokenization and anonymization for PII

Network Security - VPC isolation and segmentation - Security groups as stateful firewalls (allow-list approach) - Network ACLs for subnet-level controls - AWS WAF for application-layer protection - AWS Shield Advanced for DDoS protection - VPC Flow Logs for traffic analysis

Cost Optimization¶

Resource Right-Sizing - Continuous monitoring with AWS Cost Explorer and Compute Optimizer - Regular review cycles (monthly) for optimization opportunities - Automated rightsizing using Lambda and Systems Manager - Downsize non-production environments outside business hours

Pricing Model Optimization - Reserved Instances for predictable workloads (1-year or 3-year terms) - Savings Plans for flexible compute commitments - Spot Instances for fault-tolerant, flexible workloads - Combine pricing models based on workload characteristics

Data Transfer Optimization - VPC endpoints for AWS service access (eliminate NAT Gateway costs) - CloudFront for content delivery (reduce origin data transfer) - Direct Connect for predictable on-premises traffic - S3 Transfer Acceleration for global uploads - Cross-region replication only where necessary

Performance Tuning¶

Caching Strategies - CloudFront for static and dynamic content - ElastiCache (Redis/Memcached) for database query caching - DynamoDB Accelerator (DAX) for single-digit millisecond latency - Application-level caching where appropriate

Database Optimization - Choose appropriate database engine for workload (relational, NoSQL, graph, time-series) - Implement read replicas for read-heavy workloads - Use connection pooling and query optimization - Partition and shard data for horizontal scaling - Monitor slow queries and missing indexes

Compute Optimization - Select instance types matched to workload (compute, memory, storage, network optimized) - Use Auto Scaling to match capacity with demand - Implement container orchestration for efficient resource utilization - Leverage serverless for variable, unpredictable workloads

Common Scenarios¶

Scenario 1: Enterprise Migration to AWS¶

Context: Large enterprise migrating 500+ applications from on-premises data centers to AWS over 18 months

Key Considerations - Establish landing zone with AWS Control Tower - Implement hybrid connectivity (Direct Connect with redundant connections) - Phased migration approach: 7 Rs (Retire, Retain, Rehost, Relocate, Repurchase, Replatform, Refactor) - AWS Migration Hub for tracking and coordination - AWS Application Discovery Service for dependency mapping - AWS Database Migration Service for database migrations - AWS DataSync for bulk data transfer - Security and compliance validation at each phase - Training and skill development for operations teams

Architecture Components - Multi-account structure with separate migration and production accounts - Transit Gateway for centralized networking - Centralized logging and monitoring - Hybrid DNS using Route 53 Resolver endpoints - Active Directory integration using AWS Directory Service

Scenario 2: Multi-Region SaaS Platform¶

Context: SaaS provider serving global customers with strict SLA requirements (99.99% availability, <100ms latency)

Key Considerations - Active-active multi-region deployment (US East, EU West, Asia Pacific) - Global load balancing with Route 53 health checks - Data residency and sovereignty requirements - Cross-region data replication with conflict resolution - Regional failure handling and automated failover - Global user authentication and authorization

Architecture Components - Regional VPCs with identical infrastructure (IaC deployment) - DynamoDB Global Tables or Aurora Global Database - S3 Cross-Region Replication for object storage - CloudFront with origin failover for edge delivery - API Gateway regional endpoints with custom domain - Cognito user pools with identity federation - EventBridge global endpoints for event routing - Regional monitoring with centralized dashboards

Scenario 3: Real-Time Analytics Platform¶

Context: IoT platform ingesting 1M events/second, providing real-time dashboards and historical analytics

Key Considerations - High-throughput ingestion pipeline - Real-time stream processing - Historical data retention (7 years) at low cost - Query performance for both real-time and historical data - Data lifecycle management - Schema evolution and backward compatibility

Architecture Components - Amazon Kinesis Data Streams for ingestion (multiple shards) - Amazon Kinesis Data Firehose for S3 delivery - AWS Lambda or Kinesis Data Analytics for real-time processing - Amazon S3 with partitioning strategy for historical data - Amazon Athena for ad-hoc queries on historical data - Amazon OpenSearch Service for real-time queries and visualization - AWS Glue for ETL and data catalog - Amazon QuickSight for business intelligence dashboards - S3 Lifecycle policies for cost optimization (Standard → Intelligent-Tiering → Glacier)

Scenario 4: Hybrid Cloud with Active Directory¶

Context: Enterprise maintaining on-premises Active Directory with AWS workloads requiring AD authentication

Key Considerations - Seamless authentication for cloud and on-premises resources - Low-latency AD queries from AWS - High availability and disaster recovery for AD - Group Policy management - Domain join for EC2 instances

Architecture Components - AWS Managed Microsoft AD in AWS (multi-AZ deployment) - AD trust relationship with on-premises AD (forest trust or external trust) - AWS Direct Connect for private connectivity - Route 53 Resolver for hybrid DNS resolution - AWS IAM Identity Center integration with AD for SSO - Domain-joined EC2 instances using seamless domain join - FSx for Windows File Server with AD integration - Multi-region AD deployment for DR

Scenario 5: Regulatory Compliance (HIPAA, PCI-DSS)¶

Context: Healthcare application handling PHI/PII requiring HIPAA compliance and audit readiness

Key Considerations - Business Associate Agreement (BAA) with AWS - HIPAA-eligible services only - Data encryption at rest and in transit - Audit logging and monitoring - Access controls and least privilege - Incident response procedures - Regular compliance assessments

Architecture Components - Dedicated VPC with private subnets - AWS KMS customer-managed keys for encryption - S3 with encryption, versioning, MFA delete, and access logging - RDS with encryption and automated backups - CloudTrail enabled in all regions with log file validation - AWS Config for compliance monitoring - GuardDuty and Security Hub for threat detection - VPC Flow Logs for network traffic analysis - Centralized logging to immutable S3 bucket in Log Archive account - AWS Audit Manager for continuous audit readiness - Regular penetration testing and vulnerability assessments

AWS CLI Examples¶

# Well-Architected Tool - Create workload
aws wellarchitected create-workload \
  --workload-name "Production-ECommerce-Platform" \
  --description "Multi-region e-commerce platform" \
  --environment PRODUCTION \
  --aws-regions us-east-1 eu-west-1 \
  --architectural-design "https://architecture-docs.example.com/ecommerce" \
  --review-owner "architecture-team@example.com" \
  --lenses wellarchitected

# Well-Architected Tool - Get workload assessment
aws wellarchitected get-workload \
  --workload-id "abcd1234efgh5678" \
  --query 'Workload.RiskCounts' \
  --output table

# Trusted Advisor - Get all checks
aws support describe-trusted-advisor-checks \
  --language en \
  --query 'checks[?category==`cost_optimizing`].[name,id]' \
  --output table

# Trusted Advisor - Refresh specific check
aws support refresh-trusted-advisor-check \
  --check-id "Qch7DwouX1"

# AWS Config - Deploy conformance pack
aws configservice put-conformance-pack \
  --conformance-pack-name "HIPAA-Compliance-Pack" \
  --template-s3-uri "s3://compliance-templates/hipaa-pack.yaml" \
  --delivery-s3-bucket "config-conformance-packs"

# AWS Config - Get compliance summary
aws configservice describe-compliance-by-config-rule \
  --compliance-types NON_COMPLIANT \
  --query 'ComplianceByConfigRules[*].[ConfigRuleName,Compliance.ComplianceType]' \
  --output table

# AWS Organizations - Create organizational unit
aws organizations create-organizational-unit \
  --parent-id "r-abc123" \
  --name "Production-Workloads"

# AWS Organizations - Attach service control policy
aws organizations attach-policy \
  --policy-id "p-12345678" \
  --target-id "ou-abc123-xyz456"

# CloudFormation StackSets - Create multi-account stack
aws cloudformation create-stack-set \
  --stack-set-name "SecurityBaseline" \
  --template-url "https://s3.amazonaws.com/templates/security-baseline.yaml" \
  --capabilities CAPABILITY_IAM CAPABILITY_NAMED_IAM \
  --permission-model SERVICE_MANAGED \
  --auto-deployment Enabled=true,RetainStacksOnAccountRemoval=false

# CloudFormation StackSets - Deploy to OUs
aws cloudformation create-stack-instances \
  --stack-set-name "SecurityBaseline" \
  --deployment-targets OrganizationalUnitIds=ou-abc123-xyz456 \
  --regions us-east-1 eu-west-1 \
  --operation-preferences MaxConcurrentPercentage=100,FailureTolerancePercentage=50

# Cost Explorer - Get cost and usage
aws ce get-cost-and-usage \
  --time-period Start=2025-09-01,End=2025-10-01 \
  --granularity MONTHLY \
  --metrics BlendedCost UsageQuantity \
  --group-by Type=DIMENSION,Key=SERVICE Type=TAG,Key=Environment

# Cost Explorer - Get rightsizing recommendations
aws ce get-rightsizing-recommendation \
  --service "AmazonEC2" \
  --filter '{"And":[{"Dimensions":{"Key":"REGION","Values":["us-east-1"]}}]}' \
  --query 'RightsizingRecommendations[*].[CurrentInstance.ResourceId,RightsizingType,TerminateRecommendationDetail.EstimatedMonthlySavings]'

# Compute Optimizer - Get EC2 recommendations
aws compute-optimizer get-ec2-instance-recommendations \
  --query 'instanceRecommendations[*].[instanceArn,finding,utilizationMetrics[?name==`CPU`].value|[0]]' \
  --output table

# Service Catalog - Create portfolio
aws servicecatalog create-portfolio \
  --display-name "Approved-Infrastructure-Templates" \
  --description "Pre-approved CloudFormation templates for self-service" \
  --provider-name "Cloud Platform Team"

# Control Tower - List enabled controls
aws controltower list-enabled-controls \
  --target-identifier "arn:aws:organizations::123456789012:ou/o-abc123/ou-xyz456" \
  --max-results 50

Study Tips¶

SAP-C02 Exam Focus Areas¶

High-Frequency Topics - Multi-account architectures with AWS Organizations - Hybrid connectivity (Direct Connect, VPN, Transit Gateway) - Disaster recovery strategies and RTO/RPO calculations - Migration strategies and tools (7 Rs framework) - Cost optimization techniques and pricing models - Advanced networking (VPC peering, PrivateLink, Transit Gateway) - Security at scale (SCPs, IAM policies, GuardDuty, Security Hub) - Data architecture patterns (data lakes, real-time analytics) - Container orchestration (ECS, EKS, Fargate) - Serverless architectures at scale

Scenario-Based Questions - Given requirements, select optimal architecture - Identify weaknesses in existing architecture - Recommend improvements for performance, cost, security, reliability - Multi-step problem solving with multiple constraints - Trade-off analysis between competing priorities

Time Management - 180 minutes for 75 questions = 2.4 minutes per question - Flag difficult questions for later review - Read all answer options carefully (multiple correct answers may exist, choose most optimal) - Look for keywords in questions (most cost-effective, highest performance, least operational overhead)

Key Differences from SAA-C03¶

Increased Complexity - SAA-C03: Single-account, single-region focus - SAP-C02: Multi-account, multi-region, hybrid scenarios

Deeper Service Knowledge - SAA-C03: Core service features and use cases - SAP-C02: Advanced configurations, integrations, limitations, and trade-offs

Migration & Modernization - SAA-C03: Basic migration patterns - SAP-C02: Enterprise migration strategies, 7 Rs, AWS Migration Hub, application modernization

Cost Optimization - SAA-C03: Basic cost optimization (instance types, storage classes) - SAP-C02: Enterprise cost management, Reserved Instances, Savings Plans, chargeback models, FinOps

Organizational Complexity - SAA-C03: Single team/project - SAP-C02: Multiple teams, business units, regulatory requirements, governance at scale

Complex Scenarios to Master¶

Multi-Region Architectures - Active-active vs. active-passive patterns - Data replication strategies and consistency models - Regional failure handling and automated failover - Cross-region networking and latency optimization - Cost implications of multi-region deployments

Hybrid Connectivity - Direct Connect with VPN backup - Transit Gateway for centralized routing - On-premises integration patterns - Hybrid DNS resolution - Active Directory integration

Large-Scale Migrations - Portfolio assessment and wave planning - Dependency mapping and application grouping - Migration factory approach - Cutover strategies and rollback plans - Post-migration optimization

Enterprise Security - Multi-account security controls - Centralized logging and monitoring - Threat detection and incident response - Compliance and audit readiness - Identity federation and SSO

Cost Optimization at Scale - Reserved Instance and Savings Plans strategy - Multi-account cost allocation - Automated rightsizing and scheduling - Data lifecycle management - Network cost optimization

Practice Lab Recommendations¶

AWS-Provided Labs - AWS Well-Architected Labs (https://wellarchitectedlabs.com) - AWS Workshops (https://workshops.aws) - AWS Architecture Center case studies

Hands-On Practice Areas 1. Multi-Account Setup - Create AWS Organization with multiple accounts - Configure AWS Control Tower landing zone - Implement SCPs and permission boundaries - Set up cross-account access with IAM roles

Networking
Build hub-and-spoke architecture with Transit Gateway
Configure VPC peering and PrivateLink
Implement hybrid connectivity with VPN and Direct Connect simulator
Set up Route 53 Resolver for hybrid DNS
Migration
Use AWS Migration Hub to track sample migration
Perform database migration with DMS
Migrate applications using CloudEndure or Application Migration Service
Implement AWS DataSync for file server migration
Disaster Recovery
Implement pilot light architecture
Configure Aurora Global Database
Set up S3 Cross-Region Replication
Test failover scenarios with Route 53
Cost Optimization
Analyze costs with Cost Explorer
Implement automated resource scheduling
Configure AWS Budgets and alerts
Review Trusted Advisor and Compute Optimizer recommendations
Security
Enable GuardDuty, Security Hub, and AWS Config
Create detective and preventive controls
Implement automated remediation with EventBridge
Configure centralized logging architecture

Additional Resources¶

AWS Whitepapers¶

Essential Reading - AWS Well-Architected Framework (all pillars) - Architecting for the Cloud: AWS Best Practices - AWS Security Best Practices - Organizing Your AWS Environment Using Multiple Accounts - Hybrid Cloud with AWS - AWS Migration Whitepaper - Overview of Amazon Web Services (updated monthly)

Advanced Topics - Implementing Microservices on AWS - Building a Scalable and Secure Multi-VPC AWS Network Infrastructure - AWS Storage Services Overview - Backup and Recovery Approaches Using AWS - Running Containerized Microservices on AWS - Serverless Architectures with AWS Lambda

Architecture Guides¶

AWS Architecture Center - Reference architectures for common workloads - This is My Architecture video series - AWS Solutions Library (pre-built solutions) - AWS Quick Starts (automated deployments)

Service-Specific Guides - Amazon VPC Connectivity Options - Amazon RDS Best Practices - Amazon S3 Performance Optimization - Amazon DynamoDB Best Practices - Amazon EKS Best Practices Guide

Documentation Links¶

Core Services - AWS Organizations: https://docs.aws.amazon.com/organizations/ - AWS Control Tower: https://docs.aws.amazon.com/controltower/ - AWS Well-Architected Tool: https://docs.aws.amazon.com/wellarchitected/ - AWS Trusted Advisor: https://docs.aws.amazon.com/awssupport/ - AWS Config: https://docs.aws.amazon.com/config/ - AWS CloudFormation: https://docs.aws.amazon.com/cloudformation/

Learning Resources - AWS Skill Builder (free and paid courses) - AWS Certified Solutions Architect - Professional exam guide - AWS official practice exam - AWS re:Invent and Summit session recordings - AWS Architecture Blog - AWS Podcast

Community Resources - AWS Reddit communities - AWS Discord and Slack channels - AWS User Groups (local meetups) - Stack Overflow AWS tags - GitHub AWS samples and reference architectures