Serverless Architecture Audit
A focused review of your current serverless/cloud architecture to identify structural risks, reliability issues, cost problems, deployment weaknesses, and team-boundary problems.
Best for:
- Teams already running serverless in production
- Teams struggling with Lambda sprawl or unclear service boundaries
- Companies unsure whether their current architecture will scale
- Engineering leaders needing an outside senior review
Deliverables:
- Architecture review session with your engineering team
- Risk assessment covering reliability, cost, security, and deployment
- Written findings document with prioritized recommendations
- Target architecture sketch
- Migration or remediation roadmap
Typical engagement: 1–3 weeks
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Production Readiness Review
A review for teams preparing to launch, scale, onboard enterprise customers, or recover from reliability problems. Covers the operational fundamentals that separate demo-quality systems from production-grade ones.
What's covered:
- Failure modes and blast radius analysis
- Retries, idempotency, and dead-letter handling
- Queues and async workflow reliability
- Observability: logging, tracing, metrics, alerting
- Incident readiness and runbook review
- Deployment and rollback strategy
- AWS cost risk assessment
- Security and IAM review
- Ownership and operational model
Deliverables:
- Production readiness checklist
- Findings report with severity ratings
- Recommended fixes with implementation priority
- Architecture review call
- Follow-up advisory session
Typical engagement: 1–2 weeks
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Fractional Principal Architect
Ongoing senior architecture support for teams that need principal-level judgment but do not need - or cannot justify - a full-time hire. I work as an embedded advisor, joining architecture discussions, reviewing decisions, and helping your senior engineers level up.
Common use cases:
- Architecture decision reviews and ADR authoring
- Migration strategy and sequencing
- Platform engineering guidance
- Developer productivity and tooling improvements
- Mentoring senior engineers on system design
- Technical discovery for product or platform decisions
- Customer-facing architecture support for devtools companies
Available as monthly advisory retainers
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AI Enablement for Serverless & Cloud Engineering Teams
A focused engagement for teams adopting AI in their engineering workflow or building AI-powered systems on AWS. I help teams move beyond experiments by designing safe, production-ready AI architectures, improving AI coding-agent workflows, and establishing clear patterns for security, observability, cost control, and developer productivity.
Best for:
- Teams building AI features into serverless applications
- Engineering teams adopting AI coding agents
- Companies exploring Amazon Bedrock, agent runtimes, and async AI workflows
- Teams worried about AI tool sprawl, security, or data leakage
Deliverables:
- AI enablement strategy for your engineering team
- Reference architecture for serverless AI workloads
- Coding-agent workflow review and recommendations
- Security/data guardrails and testing patterns
- Tooling roadmap for AI-assisted development
Custom scoped engagements
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Workshops & Technical Enablement
Custom workshops for engineering teams working with AWS, serverless, and cloud-native systems. Each workshop is tailored to your team's stack, experience level, and current challenges.
Example workshops:
- Designing maintainable serverless applications
- Event-driven architecture on AWS
- Serverless testing and CI/CD best practices
- Production readiness for Lambda-based systems
- Moving from Lambda sprawl to clear service boundaries
- Using AI coding agents effectively in production engineering teams
- Building serverless AI tools on AWS
- Production readiness for AI-powered serverless applications
- Guardrails for AI-assisted development
Custom scoping - reach out to discuss
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