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
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