Reference architectures

Production-ready architecture blueprints that reduce risk and accelerate delivery across cloud, AI, and enterprise systems.

What it is

Blueprints you can implement

These are not generic diagrams. Each blueprint is designed to be operable: security controls, observability, and runbooks are part of the baseline.

Reference architectures

Architecture patterns

Start from a proven pattern, then adapt to your constraints (compliance, SLAs, data boundaries, team topology).

Talk through options

Cloud-Native Platform

Kubernetes-based platform with service mesh, observability, and GitOps deployment.

Data Platform

Modern data stack with lakehouse architecture, real-time streaming, and ML pipelines.

AI/ML Infrastructure

End-to-end ML platform with model serving, feature stores, and experiment tracking.

Zero Trust Security

Defense-in-depth architecture with identity-centric security and micro-segmentation.

High-Performance APIs

Scalable API gateway patterns with caching, rate limiting, and circuit breakers.

Event-Driven Systems

Event sourcing and CQRS patterns for reactive, scalable microservices.

Benefits
Why it works

Why reference architectures?

Save months of design and iteration with architectures validated in production environments.

  • Proven patterns from production deployments
  • Infrastructure as code templates
  • Security and compliance built-in
  • Cost optimization strategies
  • Observability and monitoring setup
  • Documentation and runbooks

What you get

Clear deliverables that make implementation straightforward and handoff clean.

1
Architecture design documentation
2
Infrastructure as code (Terraform/Pulumi)
3
CI/CD pipeline templates
4
Security baseline configuration
5
Monitoring and alerting setup
6
Team training and handoff

Ready to accelerate your architecture?

Tell us what you’re shipping and what constraints you’re under (security, compliance, SLAs). We’ll recommend the smallest blueprint that gets you to production safely.