Project Case Study
AI Infrastructure Patterns
A set of practical infrastructure patterns for shipping AI features quickly and safely.
In ProgressTerraformAWSCloudFrontLambdaDynamoDB
Problem
Teams repeatedly solved the same architecture questions from scratch.
Goal
Capture proven deployment patterns with clear tradeoff guidance.
Architecture Overview
System shape and flow
- Baseline API and worker topology
- Observability-first logging and metrics
- Cost controls and scaling defaults
Key Features
- Terraform modules
- Runbooks
- Architecture notes
Tradeoffs and Design Decisions
- Opinionated defaults may need adaptation
- Template maintenance as services evolve
Challenges
- Balancing flexibility and simplicity
- Keeping docs synced with code
Results and Lessons Learned
- Faster initial deployments
- Clearer onboarding for infrastructure decisions
Next Steps
- Expand container patterns
- Add queue-heavy reference design