A tailored course, built for your situation
Mastering AWS Well-Architected; A Step-by-Step Guide to Cloud Architecture Reviews
A structured approach to owning architecture reviews and producing trusted guidance as a senior engineer
The situation this course is for
Senior engineers at data-first cloud companies are increasingly pulled into M&A integration planning and regulator-facing technical reviews. Yet without a standardized, repeatable method for assessing architecture quality, these requests become last-minute scrambles, especially when evidence must align with AWS Well-Architected principles. The result: reliance on tribal knowledge, inconsistent documentation, and missed opportunities to position engineering as a trusted advisor.
Who this is for
Senior Software Engineers at cloud-native tech firms who are informally tapped to support architecture governance, M&A technical due diligence, or compliance-facing reviews but lack formal frameworks to scale their impact
Who this is not for
Engineers focused solely on feature development with no cross-system integration responsibilities; architects already certified in AWS Well-Architected with active review authority
What you walk away with
- Lead AWS Well-Architected reviews independently, including for M&A target assessments
- Produce audit-ready review documentation that passes internal validation on first submission
- Become the go-to engineer for cross-functional teams needing cloud architecture clarity
- Reduce rework in review cycles by applying a repeatable, template-driven process
- Build durable, reusable assessment packs that survive team changes and leadership transitions
The 12 modules (with all 144 chapters)
- Origins and evolution of the AWS Well-Architected Framework
- Core pillars: Operational Excellence, Security, Reliability
- Additional pillars: Performance Efficiency, Cost Optimization
- How enterprises adopt Well-Architected in practice
- Mapping Well-Architected to real engineering decisions
- Integration with DevOps and platform engineering workflows
- Common misconceptions about Well-Architected reviews
- When to initiate a Well-Architected review
- Stakeholder expectations from engineering teams
- How regulators reference Well-Architected in audits
- Case study: Fintech acquisition due diligence
- Case study: Healthcare SaaS compliance validation
- Defining the scope of a Well-Architected review
- Identifying key workloads and dependencies
- Gathering baseline metrics from monitoring systems
- Engaging security and compliance stakeholders early
- Scheduling review timelines around M&A cycles
- Documenting current state with minimal engineer time
- Creating evidence collection checklists
- Using automated tools to extract configuration data
- Validating input from peer teams
- Avoiding over-scoping during preparation
- Template: Readiness checklist for review leads
- Template: Stakeholder alignment tracker
- Assessing change management maturity
- Reviewing incident response runbooks
- Evaluating monitoring coverage and alerting quality
- Measuring deployment frequency and rollback success
- Validating post-mortem follow-up actions
- Checking runbook ownership and updates
- Scoring operational maturity objectively
- Identifying gaps in CI/CD observability
- Integrating DevOps feedback loops
- Benchmarking against industry norms
- Template: Operational Excellence scoring sheet
- Worked example: Incident review for audit
- Evaluating IAM role design and least privilege
- Assessing data encryption in transit and at rest
- Reviewing network segmentation and firewall rules
- Validating logging and threat detection coverage
- Checking for default security group usage
- Analyzing KMS key management practices
- Assessing multi-factor authentication enforcement
- Reviewing vulnerability scanning frequency
- Measuring time to patch critical findings
- Integrating findings into sprint planning
- Template: Security gap assessment matrix
- Worked example: Regulator-facing response
- Assessing infrastructure as code adoption
- Reviewing backup and restore procedures
- Testing disaster recovery plans
- Evaluating auto-scaling and load balancing
- Measuring uptime and availability SLAs
- Analyzing failure domain distribution
- Validating failover testing frequency
- Checking recovery time and point objectives
- Assessing stateful service resilience
- Integrating resilience into design reviews
- Template: Resilience scoring rubric
- Worked example: M&A integration risk summary
- Measuring compute and memory efficiency
- Reviewing database query performance
- Assessing caching strategy effectiveness
- Analyzing network latency and throughput
- Evaluating content delivery architecture
- Identifying over-provisioned resources
- Benchmarking against cost-performance curves
- Using observability data to guide tuning
- Integrating performance into sprint goals
- Validating autoscaling thresholds
- Template: Performance finding documentation
- Worked example: Pre-audit optimization report
- Analyzing cloud spend by service and team
- Reviewing reserved instance utilization
- Checking for orphaned resources
- Validating tagging and cost allocation
- Measuring cost per transaction or user
- Assessing spot instance usage
- Evaluating storage tiering strategy
- Identifying underutilized workloads
- Benchmarking against peer teams
- Integrating cost into architecture decisions
- Template: Cost optimization finding log
- Worked example: Board-facing cost narrative
- Setting clear expectations for review participants
- Facilitating cross-functional workshops
- Managing technical disagreements constructively
- Presenting findings without blame
- Balancing urgency with thoroughness
- Handling pushback from peer teams
- Escalating unresolved risks appropriately
- Maintaining neutrality as reviewer
- Documenting decisions and rationale
- Following up on action items
- Template: Workshop agenda and facilitation guide
- Worked example: Disagreement resolution transcript
- Structuring the review summary document
- Writing findings with evidence and context
- Prioritizing recommendations by risk
- Using consistent scoring language
- Including visual architecture diagrams
- Annotating with regulatory relevance
- Creating executive summaries
- Versioning and storing reports
- Building a searchable knowledge base
- Ensuring audit-readiness of documentation
- Template: Final review report structure
- Worked example: M&A due diligence appendix
- Initiating reviews during acquisition phases
- Scoping assessments for pre-close teams
- Evaluating target architecture maturity
- Identifying integration risks early
- Mapping findings to integration timelines
- Prioritizing remediation pre- and post-close
- Working with legal and finance teams
- Documenting assumptions for legal teams
- Communicating risks to executive sponsors
- Building repeatable due diligence playbooks
- Template: M&A assessment checklist
- Worked example: Post-acquisition integration plan
- Using AWS Trusted Advisor for baseline checks
- Integrating with AWS Well-Architected Tool
- Automating evidence collection scripts
- Building dashboard views for reviewers
- Creating templated reports with Jinja
- Integrating findings into Jira workflows
- Using CI/CD pipelines to enforce standards
- Alerting on regression in key metrics
- Validating fixes automatically
- Reducing review cycle time with tooling
- Template: Automation script repository
- Worked example: Automated finding generation
- Identifying internal review champions
- Creating career paths for review experts
- Measuring program impact over time
- Sharing best practices across teams
- Updating templates with new learnings
- Aligning with security and compliance roadmaps
- Reducing onboarding time for new reviewers
- Documenting lessons from past reviews
- Building institutional memory
- Scaling across global engineering teams
- Template: Review program maturity roadmap
- Worked example: Year-over-year improvement metrics
How this maps to your situation
- M&A technical due diligence
- Regulator-facing architecture reviews
- Cross-team infrastructure alignment
- Engineering leadership positioning
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 course access.
Time investment: 90 minutes per week for 12 weeks, or complete in focused sprints as needed.
How this compares to the alternatives
Unlike generic AWS certifications or public training, this course is tailored to senior engineers in regulated environments who need to produce credible, reusable review outputs for M&A and compliance, not just pass exams.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.