A tailored course, built for your situation
Deeper Command of AWS Infrastructure Patterns
Master the underlying frameworks that define resilient, scalable cloud systems
Who this is for
Site Reliability Engineer working in AWS-heavy environments who wants to move from reactive fixes to proactive, pattern-driven engineering
Who this is not for
Engineers focused only on day-to-day break-fix tasks without interest in architecture-level design or cloud-native standards
What you walk away with
- Recognize canonical AWS architecture patterns on sight and apply them appropriately
- Adapt reference architectures to fit unique system constraints without compromising resilience
- Explain design decisions using AWS Well-Architected Framework logic
- Anticipate failure modes based on pattern deviations before incidents occur
- Produce repeatable infrastructure templates grounded in AWS best practices
The 12 modules (with all 144 chapters)
- The AWS mindset: operate at scale
- Embrace failure as expected
- Automate everything pattern
- Design for decentralization
- Stateless before stateful
- APIs as contracts
- Immutable infrastructure logic
- Versioned deployment patterns
- Drift detection principles
- Minimal dependencies by design
- Pattern reuse over re-invention
- Cost-aware engineering mindset
- Subnet strategy by workload
- Route table segmentation
- NAT gateway patterns
- Transit Gateway use cases
- DNS resolution flow
- Security group hierarchy
- Network ACLs as safety net
- PrivateLink use cases
- VPC sharing mechanics
- Cross-account routing
- IPv6 readiness levels
- Flow log interpretation
- EC2 patterns: stateful vs stateless
- Spot instance tradeoffs
- ECS Fargate isolation
- EKS control plane access
- Pod disruption budgets
- Lambda concurrency limits
- Cold start mitigation
- Task placement strategies
- AMI version control
- Auto scaling triggers
- Instance recovery workflows
- Container image signing
- Availability Zone use logic
- Multi-region failure modes
- Active-passive setup
- Active-active tradeoffs
- RTO vs RPO alignment
- Chaos engineering scope
- Failover trigger design
- Health check configuration
- Dependency hardening
- State replication strategy
- Recovery playbook integration
- Automated rollback logic
- CloudWatch namespace use
- Metric filter best practices
- Log group retention
- X-Ray trace sampling
- Custom dashboard setup
- Alarm threshold logic
- SLO tracking in dashboards
- Tagging for observability
- Service quota alerts
- Incident correlation
- EventBridge routing
- Log export workflows
- IAM role boundaries
- Principle of least privilege
- Key rotation automation
- KMS key policies
- S3 encryption defaults
- Bucket policy logic
- Service control policies
- GuardDuty integration
- Config rule baselines
- Compliance pack use
- SSO identity sync
- Credential expiration flows
- S3 tiers by use case
- Lifecycle policy strategy
- EBS volume types
- Throughput optimization
- EFS use boundaries
- FSx for Windows
- Object locking patterns
- Replication rules
- Cross-region sync
- Backup vault setup
- Restore time targets
- Versioning workflows
- CodePipeline stages
- Stage gating logic
- Manual approval triggers
- Rolling vs blue-green
- Canary percentage strategy
- Test suite integration
- Source artifact signing
- Pipeline recovery
- Change tracking scope
- Deployment pause conditions
- Automated rollback triggers
- Pipeline audit trails
- Recovery objective mapping
- Backup frequency logic
- Pilot light setup
- Warm standby patterns
- Data replication lag
- DNS failover timing
- Cross-region IAM
- Recovery runbooks
- Test frequency mandates
- Failback complexity
- RPO gap analysis
- Automated DR workflows
- Savings Plan fit analysis
- Reserved Instance alignment
- Unused resource alerts
- Right-sizing recommendations
- Spot instance risk matrix
- Data transfer costs
- Lambda memory tuning
- S3 tier transition logic
- Tagging for cost tracking
- Budget alert thresholds
- Anomaly detection setup
- Cost allocation reports
- Pattern similarity detection
- Anti-pattern identification
- Architecture smell signals
- Design deviation flags
- Benchmarking against AWS examples
- Pattern evolution tracking
- Service migration paths
- Legacy coupling risks
- Refactoring sequence logic
- Knowledge transfer artifacts
- Architecture review prep
- Peer challenge readiness
- Incident postmortem analysis
- On-call decision speed
- Architecture review contributions
- Design proposal authoring
- Cross-team pattern alignment
- Tooling gap identification
- Standards adoption push
- Break-glass procedure use
- Post-incident audit response
- Change advisory input
- Vendor solution evaluation
- Internal knowledge sharing
How this maps to your situation
- When designing a new AWS environment
- During incident postmortems with architecture angles
- When reviewing peer designs
- Before major system changes
Before vs. after
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside it.
Time investment: Approximately 3-4 hours per module, recommended over 6-8 weeks with hands-on application between modules.
How this compares to the alternatives
Most AWS courses teach service features. This course teaches pattern fluency, the ability to see, reason, and adapt AWS architectures like a senior principal engineer.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.