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Source: ocean/docs/SYSTEM_BASELINE_ANALYSIS.md | ✏️ Edit on GitHub

System Baseline Analysis - Ocean Platform

Date: August 26, 2025
Purpose: Gap analysis and baseline documentation of the Ocean multi-tenant SaaS platform

Executive Summary​

This document provides a comprehensive analysis of the Ocean platform's architecture, integrations, and deployment strategy. The analysis reveals a sophisticated multi-tenant SaaS platform with strong security practices, atomic provisioning, and comprehensive observability, though some planned features remain unimplemented.

Architecture Overview​

1. Supabase (Global User DB & Auth)​

Status: ✅ Fully Implemented​

Key Features:

  • Passwordless OTP authentication (10-minute expiry)
  • JWT-based session management
  • Comprehensive RLS policies on all tables
  • Multi-tenant organization structure
  • Audit logging and provisioning events tracking

Database Schema:

  • Core tables: organizations, organization_members, profiles
  • Billing tables: products, prices, subscriptions, invoices
  • Monitoring: audit_logs, provisioning_events, tenant_health_checks

Security:

  • Modern JWT security (publishable keys, not legacy API keys)
  • Service role keys restricted to server-side
  • Anti-enumeration protection
  • Fail-closed authentication pattern

Gaps:

  • OTP expiry could be shortened for higher security (currently 10 minutes)
  • Email enumeration protection could be enhanced

2. GraphQL Yoga Integration​

Status: ✅ Fully Implemented​

Key Features:

  • GraphQL Yoga v5.15.1 with full type safety
  • Atomic provisioning with rollback capabilities
  • Circuit breaker pattern for external services
  • Distributed tracing with Sentry
  • Redis caching via Upstash

Integrations:

  • Stripe: Customer creation, subscription management, webhooks
  • Neon: Tenant database provisioning
  • Supabase: User and organization management

Architecture:

  • Fire-and-forget provisioning model
  • Background job processing
  • Comprehensive error handling
  • DataLoaders for N+1 prevention

Gaps:

  • No Crunchbase/industry enrichment integration (despite being mentioned)
  • master_db provisioning tracked but not implemented

3. Neon PostgreSQL Architecture​

Status: ✅ Implemented with Version Inconsistency​

Key Features:

  • Database-per-tenant isolation model
  • Automatic provisioning via API
  • Region mapping (AWS regions)
  • Connection strings stored in Supabase Vault
  • Health check monitoring

PostgreSQL Versions:

  • Mixed usage: Some code uses v16, newer code uses v17
  • No specific PostgreSQL 17 features utilized

Security:

  • Encrypted connection string storage
  • Tenant isolation at database level
  • API key authentication

Gaps:

  • Version inconsistency: Need to standardize on PostgreSQL 17
  • No automated cleanup for failed provisioning
  • Missing rate limit monitoring for Neon API

4. CrunchyBridge PostgreSQL​

Status: ❌ Not Implemented​

Findings:

  • Referenced in documentation but no implementation exists
  • Intended as "master database for enrichment data"
  • master_db provisioning status tracked but unused
  • No API integration or connection code

Impact:

  • Industry enrichment feature is non-functional
  • Shared data capabilities are missing

5. Drizzle ORM​

Status: ❌ Not Implemented​

Findings:

  • Mentioned in documentation only
  • No dependencies in package.json
  • No schema definitions or queries
  • Project uses Supabase client instead

Current Approach:

  • Supabase JavaScript client for all DB operations
  • Type safety through generated types
  • Raw SQL in Edge Functions where needed

6. Sentry Observability​

Status: ✅ Recently Fixed & Operational​

Implementation:

  • Frontend: @sentry/react v9.43.0
  • Edge Functions: @sentry/deno v7.119.2 (npm imports)
  • Cost-optimized configuration for Team plan

Features:

  • Distributed tracing across services
  • Session replay (5% sample rate)
  • Performance monitoring
  • Source map uploads
  • Custom error context enrichment

Recent Fixes:

  • Updated to npm import patterns
  • Resolved API compatibility issues
  • Fixed missing dependencies

Gaps:

  • 2 Edge Functions missing Sentry integration
  • VITE_SENTRY_DSN needs production verification

7. PostHog Analytics​

Status: ✅ Implemented but Underutilized​

Implementation:

  • posthog-js v1.258.2 (client)
  • posthog-node v5.6.0 (server)
  • Feature flags defined but not actively used

Capabilities:

  • User identification and tracking
  • Feature flag infrastructure ready
  • Event tracking system
  • Organization-level analytics
  • Usage limit tracking

Gaps:

  • Feature flags defined but commented out
  • API keys exposed in documentation (security risk)
  • Analytics potential not fully leveraged

8. GitHub CI/CD Workflows​

Status: ✅ Comprehensive & Well-Designed​

Workflows:

  1. deploy-Supabase.yml: Database migrations & Edge Functions
  2. deploy-frontend.yml: Vercel deployments
  3. validate-pr.yml: PR validation
  4. scheduled-health-check.yml: Weekly system checks
  5. secret-scanning.yml: Security scanning
  6. sentry-release.yml: Release tracking
  7. sync-figma-tokens.yml: Design system sync

Security:

  • Three-layer secret scanning
  • Pre-commit hooks via Husky
  • Comprehensive security headers
  • No direct Vercel deployments

Strengths:

  • Atomic deployments
  • Automatic rollback capabilities
  • Design system integration
  • Multi-environment support

9. Docker Testing Setup​

Status: ✅ Implemented for Local Testing​

Configuration:

  • Multi-stage Dockerfile
  • Docker Compose with dev/test/prod services
  • Nginx production serving
  • Build optimization with BuildKit

Usage:

  • Local testing only (not in CI/CD)
  • Production-like environment validation
  • Pre-deployment verification

Critical Gaps Identified​

1. Unimplemented Features​

  • ❌ CrunchyBridge integration
  • ❌ Industry database enrichment
  • ❌ Drizzle ORM
  • ❌ Master database provisioning

2. Version Inconsistencies​

  • ⚠️ PostgreSQL 16 vs 17 in different files
  • ⚠️ Need to standardize on PostgreSQL 17

3. Security Concerns​

  • ⚠️ PostHog API keys exposed in docs
  • ⚠️ OTP expiry could be shortened

4. Missing Integrations​

  • ❌ No external data enrichment
  • ❌ Feature flags defined but unused
  • ❌ 2 Edge Functions without Sentry

5. Operational Gaps​

  • ⚠️ No automated cleanup for failed provisions
  • ⚠️ Missing Neon API rate limit monitoring
  • ⚠️ Limited tenant database monitoring

Recommendations​

Immediate Actions​

  1. Standardize PostgreSQL version to 17 across all provisioning code
  2. Rotate exposed API keys in PostHog configuration
  3. Add Sentry to remaining Edge Functions
  4. Implement automated cleanup for failed provisioning

Short-term Improvements​

  1. Activate PostHog feature flags for A/B testing
  2. Enhance tenant health monitoring
  3. Document or remove references to unimplemented features
  4. Implement Neon API rate limiting

Long-term Considerations​

  1. Evaluate need for CrunchyBridge and industry enrichment
  2. Consider Drizzle ORM if type safety becomes an issue
  3. Expand observability with custom dashboards
  4. Implement correlation IDs for better tracing

System Strengths​

  1. Security-First Architecture: Comprehensive RLS, JWT authentication, secret scanning
  2. Atomic Provisioning: All-or-nothing resource creation with rollbacks
  3. Modern Tech Stack: React, GraphQL Yoga, Supabase, TanStack libraries
  4. Excellent CI/CD: Automated deployments with safety checks
  5. Cloud-Native: No local dependencies, fully managed services
  6. Observability: Sentry and PostHog provide good visibility
  7. Design System: Automated Figma token synchronization

Conclusion​

The Ocean platform demonstrates sophisticated engineering with strong security practices and modern architecture. While some planned features (CrunchyBridge, Drizzle, industry enrichment) remain unimplemented, the core platform is production-ready with atomic provisioning, comprehensive monitoring, and a robust CI/CD pipeline.

The main areas for improvement are standardizing PostgreSQL versions, implementing the missing enrichment features if needed, and better leveraging the already-integrated analytics capabilities.

Document Version: 1.0
Last Updated: August 26, 2025
Next Review: September 2025