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Amazon Web Services

Amazon Web Services

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What is the Amazon Web Services course about?

Design multi-AZ and multi-region architectures using Route 53 failover policies and AWS Global Accelerator to meet defined RTO and RPO targets. Evaluate trade-offs between active-passive and active-active deployment models across regions, including data replication latency and cost implications. Implement automated recovery workflows using AWS Lambda and CloudWatch Alarms to reduce mean time to recovery (MTTR) for critical services. Configure Elastic Load Balancing.

What does the Amazon Web Services cover on architecting for Resilience and Fault Tolerance?

Design multi-AZ and multi-region architectures using Route 53 failover policies and AWS Global Accelerator to meet defined RTO and RPO targets. Evaluate trade-offs between active-passive and active-active deployment models across regions, including data replication latency and cost implications. Implement automated recovery workflows using AWS Lambda and CloudWatch Alarms to reduce mean time to recovery (MTTR) for critical services. Configure Elastic Load Balancing.

What does the Amazon Web Services cover on security, Identity, and Access Governance?

Design least-privilege IAM policies using service control policies (SCPs) in AWS Organizations to enforce guardrails across accounts. Implement multi-factor authentication (MFA) requirements and session policies for privileged roles, balancing security and usability. Configure AWS Single Sign-On (SSO) with external identity providers to manage federated access across hybrid environments. Monitor and respond to IAM policy changes using AWS CloudTrail and AWS Config rules.

What does the Amazon Web Services cover on cost Optimization and Financial Governance?

Model total cost of ownership (TCO) for workloads comparing on-demand, reserved, and spot instances across usage profiles. Implement tagging strategies aligned with business dimensions (department, project, environment) for accurate cost allocation. Use AWS Cost Explorer and AWS Budgets to forecast spend and trigger alerts for anomalous usage patterns. Evaluate the break-even point for Reserved Instance commitments versus Savings Plans based on workload.

What does the Amazon Web Services cover on networking and Connectivity at Scale?

Design hybrid connectivity using AWS Direct Connect with BGP failover to public and private VIFs for carrier diversity. Implement VPC peering versus Transit Gateway based on scalability requirements and routing complexity. Configure DNS resolution across VPCs and on-premises networks using Route 53 Resolver endpoints and rules. Enforce network segmentation using security groups, NACLs, and AWS Network Firewall in multi-tier applications. Evaluate latency.

What does the Amazon Web Services cover on data Management and Storage Strategy?

Select appropriate storage classes (S3 Standard, IA, Glacier) based on access frequency, retrieval time, and cost sensitivity. Design cross-region replication for S3 buckets with considerations for data sovereignty and compliance boundaries. Implement point-in-time recovery for RDS and DynamoDB using automated backups and continuous backups (PITR). Evaluate trade-offs between Amazon RDS, Aurora, and self-managed databases on EC2 for performance and operational overhead. Configure.

What does the Amazon Web Services cover on devOps and CI/CD Pipeline Engineering?

Design multi-account CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy with stage promotion controls. Implement immutable infrastructure patterns using AMI baking with Packer and versioned artifact management. Enforce deployment safety with canary and blue/green strategies using CodeDeploy and Route 53 weighted routing. Integrate security scanning into CI/CD pipelines using AWS Inspector, third-party tools, and policy-as-code checks. Manage infrastructure as code using AWS.

What does the Amazon Web Services cover on monitoring, Observability, and Incident Response?

Design centralized logging architecture using CloudWatch Logs, Kinesis Data Firehose, and S3 for long-term retention. Configure custom CloudWatch Metrics and dashboards to track business KPIs alongside technical performance indicators. Implement structured logging and tracing using X-Ray to diagnose latency and failure propagation in microservices. Define alert thresholds using anomaly detection and dynamic scaling to reduce alert fatigue and false positives. Integrate AWS.

Closely related courses: Amazon Web Services in Software Development Dataset, Amazon Web Services (AWS) Mastery, Amazon Web Services in Business Intelligence, Data-Driven Decisions.

More answers: what you get with every course, refund policy, all help answers.

This curriculum reflects the scope typically addressed across a full consulting engagement or multi-phase internal transformation initiative.

Architecting for Resilience and Fault Tolerance

  • Design multi-AZ and multi-region architectures using Route 53 failover policies and AWS Global Accelerator to meet defined RTO and RPO targets.
  • Evaluate trade-offs between active-passive and active-active deployment models across regions, including data replication latency and cost implications.
  • Implement automated recovery workflows using AWS Lambda and CloudWatch Alarms to reduce mean time to recovery (MTTR) for critical services.
  • Configure Elastic Load Balancing with health checks and target group failover to isolate unhealthy instances without service disruption.
  • Assess the operational complexity of maintaining disaster recovery environments in secondary regions versus on-premises solutions.
  • Define and enforce recovery validation procedures using AWS Backup and automated restore testing in non-production environments.
  • Integrate fault injection experiments using AWS Fault Injection Simulator to validate system resilience under real-world failure conditions.
  • Map AWS Well-Architected Framework reliability pillars to organizational SLAs and audit readiness requirements.

Security, Identity, and Access Governance

  • Design least-privilege IAM policies using service control policies (SCPs) in AWS Organizations to enforce guardrails across accounts.
  • Implement multi-factor authentication (MFA) requirements and session policies for privileged roles, balancing security and usability.
  • Configure AWS Single Sign-On (SSO) with external identity providers to manage federated access across hybrid environments.
  • Monitor and respond to IAM policy changes using AWS CloudTrail and AWS Config rules to detect privilege escalation risks.
  • Enforce encryption of data at rest using AWS KMS with customer-managed keys and audit key usage across regions.
  • Design secure cross-account access patterns using IAM roles and resource policies, minimizing standing credentials.
  • Implement automated remediation for non-compliant S3 bucket policies using AWS Security Hub and AWS Lambda.
  • Assess trade-offs between centralized identity management and decentralized team autonomy in large-scale enterprises.

Cost Optimization and Financial Governance

  • Model total cost of ownership (TCO) for workloads comparing on-demand, reserved, and spot instances across usage profiles.
  • Implement tagging strategies aligned with business dimensions (department, project, environment) for accurate cost allocation.
  • Use AWS Cost Explorer and AWS Budgets to forecast spend and trigger alerts for anomalous usage patterns.
  • Evaluate the break-even point for Reserved Instance commitments versus Savings Plans based on workload stability.
  • Automate shutdown of non-production resources using Instance Scheduler and track savings via Cost and Usage Reports.
  • Optimize data transfer costs by analyzing inter-AZ, inter-region, and internet egress patterns in VPC Flow Logs.
  • Assess cost implications of data lifecycle policies using S3 Intelligent-Tiering and Glacier Vault strategies.
  • Enforce cost controls through Service Control Policies that restrict launch of high-cost instance types in non-approved accounts.

Networking and Connectivity at Scale

  • Design hybrid connectivity using AWS Direct Connect with BGP failover to public and private VIFs for carrier diversity.
  • Implement VPC peering versus Transit Gateway based on scalability requirements and routing complexity.
  • Configure DNS resolution across VPCs and on-premises networks using Route 53 Resolver endpoints and rules.
  • Enforce network segmentation using security groups, NACLs, and AWS Network Firewall in multi-tier applications.
  • Evaluate latency and throughput requirements for application workloads when selecting placement groups and enhanced networking.
  • Design egress filtering using NAT gateways, firewalls, and proxy architectures to meet compliance mandates.
  • Monitor network performance using VPC Flow Logs, CloudWatch Metrics, and AWS X-Ray for bottleneck identification.
  • Plan IP address allocation across multiple VPCs using IPv4 and IPv6 CIDR strategies to avoid future conflicts.

Data Management and Storage Strategy

  • Select appropriate storage classes (S3 Standard, IA, Glacier) based on access frequency, retrieval time, and cost sensitivity.
  • Design cross-region replication for S3 buckets with considerations for data sovereignty and compliance boundaries.
  • Implement point-in-time recovery for RDS and DynamoDB using automated backups and continuous backups (PITR).
  • Evaluate trade-offs between Amazon RDS, Aurora, and self-managed databases on EC2 for performance and operational overhead.
  • Configure lifecycle policies to transition data between storage tiers and enforce deletion based on retention policies.
  • Design high-throughput data ingestion pipelines using Kinesis Data Streams or MSK for real-time analytics workloads.
  • Assess durability and consistency models in DynamoDB versus relational databases for transactional integrity requirements.
  • Implement data encryption and access controls for EBS snapshots and AMIs in shared or multi-tenant environments.

DevOps and CI/CD Pipeline Engineering

  • Design multi-account CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy with stage promotion controls.
  • Implement immutable infrastructure patterns using AMI baking with Packer and versioned artifact management.
  • Enforce deployment safety with canary and blue/green strategies using CodeDeploy and Route 53 weighted routing.
  • Integrate security scanning into CI/CD pipelines using AWS Inspector, third-party tools, and policy-as-code checks.
  • Manage infrastructure as code using AWS CloudFormation or Terraform with change sets and drift detection.
  • Configure cross-region and cross-account artifact distribution using ECR replication and S3 cross-region replication.
  • Optimize build environments using managed CodeBuild compute types and caching strategies for dependency layers.
  • Define rollback triggers and automated remediation steps for failed deployments using CloudWatch and Lambda.

Monitoring, Observability, and Incident Response

  • Design centralized logging architecture using CloudWatch Logs, Kinesis Data Firehose, and S3 for long-term retention.
  • Configure custom CloudWatch Metrics and dashboards to track business KPIs alongside technical performance indicators.
  • Implement structured logging and tracing using X-Ray to diagnose latency and failure propagation in microservices.
  • Define alert thresholds using anomaly detection and dynamic scaling to reduce alert fatigue and false positives.
  • Integrate AWS Systems Manager Incident Manager for coordinated response during major incidents.
  • Use AWS Config rules to detect configuration drift and enforce compliance with security baselines.
  • Correlate events across CloudTrail, GuardDuty, and VPC Flow Logs for threat investigation and root cause analysis.
  • Design observability data retention policies balancing cost, compliance, and forensic investigation needs.

Migration Strategy and Application Modernization

  • Assess application portfolios using AWS Migration Hub and custom scoring models for rehost, refactor, or retire decisions.
  • Plan database migration cutover windows using AWS DMS with ongoing replication and validation scripts.
  • Design phased migration waves based on business risk, interdependencies, and team readiness.
  • Implement zero-downtime cutover strategies using DNS switching and dual-write patterns during transition.
  • Evaluate containerization of monolithic applications using ECS or EKS versus refactoring into serverless components.
  • Manage data migration consistency and validation across heterogeneous source systems and target formats.
  • Address licensing constraints for commercial software during lift-and-shift migrations to EC2.
  • Measure migration success using performance benchmarks, cost deltas, and operational support burden pre- and post-move.

Compliance, Risk, and Audit Management

  • Map AWS control objectives to regulatory frameworks (e.g., HIPAA, SOC 2, GDPR) using AWS Artifact reports.
  • Implement automated compliance checks using AWS Config rules and custom conformance packs for internal policies.
  • Design audit-ready logging pipelines with immutable storage and access controls for forensic integrity.
  • Manage evidence collection workflows using AWS Audit Manager for recurring compliance assessments.
  • Enforce encryption and access logging requirements across accounts using Service Control Policies.
  • Assess shared responsibility model implications for third-party SaaS and managed services in the architecture.
  • Define data residency and egress controls using AWS Organizations and resource tagging policies.
  • Conduct readiness reviews for external audits using AWS Well-Architected Tool and internal control matrices.

Strategic Cloud Operating Model and Governance

  • Design multi-account AWS Organization structures using OU hierarchies aligned with business units and security domains.
  • Define centralized platform team responsibilities versus decentralized development team autonomy.
  • Implement landing zone blueprints using AWS Control Tower or custom frameworks for consistent account provisioning.
  • Establish cloud center of excellence (CCoE) governance processes for change approval and architectural review.
  • Balance innovation velocity with risk mitigation through policy-as-code enforcement and exception workflows.
  • Measure cloud maturity using KPIs such as deployment frequency, MTTR, cost per transaction, and security incident rate.
  • Integrate cloud strategy with enterprise architecture roadmaps and capital planning cycles.
  • Manage vendor lock-in risks by designing portable workloads and evaluating multi-cloud fallback options.
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