Production-Ready Blueprints
Using official cloud foundations to enforce enterprise security and compliance standards, extended with modern architectural patterns.
When building enterprise foundations on Google Cloud and AWS, I rely on and contribute to official, battle-tested reference architectures rather than maintaining custom, redundant baselines. This ensures maximum alignment with security, compliance, and cloud provider standards.
On top of these official landing zones, I design and deploy highly specialized, modern architectural blueprints tailored to high-scale data and AI operations.
Core Architectural Blueprints
- Secure Multi-Cloud Platform Foundations: Deploying secure, multi-account landing zones on GCP and AWS using Terraform & Terragrunt. I implement strict Policy-as-Code guardrails utilizing OPA Rego and Conftest to enforce organizational standards and VPC Service Controls.
- Local-First to Scale Lakehouses: An agile analytical platform blueprint. Engineered for local-first prototyping with Polars, DuckDB, and Apache Arrow, it scales seamlessly to enterprise data lakehouses like BigQuery, Snowflake, or Databricks using dbt-core and Apache Iceberg table formats.
- Deterministic Multi-Agent Orchestration: A blueprint for production-grade AI workflows. Featuring stateful, cyclic multi-agent choreography using LangGraph and Pydantic AI, it incorporates Model Context Protocol (MCP) for system tool access and Langfuse/OpenTelemetry for tracing.
Recommended Cloud Baselines
These are the primary official frameworks I recommend and leverage:
- Google Cloud Enterprise Foundation: The industry standard for structured, multi-environment organizations, landing zones, and secure-by-default setups.
- Google Cloud Security Foundations Guide: The definitive, official blueprint for implementing comprehensive security, identity, and compliance controls across Google Cloud.
- GCP Cloud Foundation Fabric: Google's official, highly modular Terraform-based framework for rapid prototyping and production-ready organization landing zones.
- GCP Cloud Architecture Center: Google's official catalog of cross-industry reference architectures, design patterns, and best practices.
- GCP Enterprise Generative AI Blueprints: Google's official reference architectures, notebooks, and production patterns for enterprise RAG pipelines, agents, and Vertex AI workflows.
- AWS Landing Zone Accelerator (LZA): The official framework for secure, multi-account AWS environments, designed to satisfy strict regulatory and security compliance frameworks.
- AWS Security Reference Architecture (SRA): AWS's official guidance and Terraform reference blueprints for designing and deploying security services in a multi-account architecture.
- AWS Well-Architected Tool & Catalog: The definitive framework for evaluating cloud architectures against cost, security, reliability, and operational excellence standards.
- AWS Generative AI Application Builder: AWS's official reference blueprint and infrastructure-as-code patterns for building secure, multi-tenant generative AI applications on Amazon Bedrock.
- CIS Benchmarks (Center for Internet Security): The global configuration standards for securing cloud platforms, Kubernetes clusters (GKE/EKS), databases, and operating systems.
- Cloud Security Alliance (CSA) Cloud Controls Matrix: The cybersecurity control framework for cloud computing, mapping to major industry standards (ISO 27001, SOC 2, NIST SP 800-53).
- Open Policy Agent (OPA): The CNCF open standard for policy-as-code and uniform governance across cloud platforms, Kubernetes, and IaC templates.
- Model Context Protocol (MCP): Anthropic's open standard for secure, deterministic agent-to-tool and agent-to-system communications, establishing modern integration baselines.