GenAI Platform Engineering

Design platform architecture with self-service portal, service catalog, and golden paths.

Build Pydantic models that represent platform service catalog entries including service metadata, configuration schemas, dependency declarations, and tier classifications for the AI developer platform.

Create a template registry that stores and validates golden path templates, including template versioning, step ordering, and parameter validation for AI workflow automation.

Build a catalog entry validator that uses JSON Schema to validate service configuration parameters, providing detailed error messages for invalid entries and supporting schema evolution.

Build cursor-based pagination for the service catalog API supporting configurable page sizes and stable traversal of large catalogs.

Implement text search across service catalog entries with relevance ranking, prefix matching for autocomplete, and combined search with structured filters.

Implement ETag-based conditional requests for the service catalog, supporting cache validation with If-None-Match and optimistic concurrency control with If-Match headers.

Add Prometheus counter and histogram instrumentation to platform API endpoints, tracking request counts, error rates, and latency distributions.

Create histogram-based latency tracking for provisioning operations with configurable bucket boundaries, percentile computation, and alert threshold evaluation.

Build Grafana dashboard configurations as code, defining panels for request rates, error rates, latency percentiles, and active service counts with PromQL queries.