Patterns built to land in production
Each of these is a complete, opinionated design on Amazon Web Services for regulated and highly secured workloads, with a detailed architecture diagram, real addressing and naming, and the security, cost, and resilience reasoning written out in full. They are meant to be lifted and adapted, not admired.
Enterprise Kubernetes for a critical payments platform on AWS
A multi region, active active design on Amazon EKS for payment authorization, settlement, account to account transfer rails, and real time messaging, built for zero data loss on the core ledger across two Canadian regions. Fourteen decision records, a cell based synchronous ledger with an on premises witness, PCI alignment, and the full detailed design with Terraform, Kubernetes, and CI/CD configuration.
Secure multi account landing zone for regulated workloads
The governed foundation every other workload lands into. A multi account, two region organization on AWS Cloud WAN with service insertion, layered guardrails, multi region data and recovery, immutable logging, and a segmented cardholder data environment for the Payment Card Industry standard.
Zero trust AI gateway
The single chokepoint between agents and the models and tools they call, with scoped identity, an allow listed tool registry, request and response validation, guardrails, and a complete audit trail.
Model lifecycle and governance on SageMaker
Training, registration, approval, deployment, and monitoring as one governed pipeline, with bias and explainability checks, drift detection, and the evidence trail an auditor expects.
Resilient transaction processing core
An idempotent, event driven backbone for high value transactions, designed against all six pillars of the Well Architected Framework, with the saga pattern, multi region recovery, and a clear recovery objective.
Secure enterprise retrieval augmented generation platform
Private data grounding that never leaves the network, with managed retrieval, reranking, guardrails for prompt attacks and personal data, and continuous evaluation of answer quality.
Build and deployment pipeline on GitHub Actions
The journey from a commit on a laptop to a running service in production, as one pipeline. Static and dynamic analysis, dependency and image scanning, signing and provenance, keyless promotion across accounts, and a guarded release to Kubernetes with GitOps and to the container service with blue and green.
Managed GitHub Actions runners on ECS
Self-hosted runners as ephemeral AWS Fargate tasks that build container images daemonlessly with rootless BuildKit, sign them in the account with AWS KMS, and push to Amazon ECR, with the registry locked so the runner is the only identity allowed to push. Ships with full Terraform, the runner image, and the control plane.