feat: comprehensive platform improvements — Phases 1-5 (31 items)

[devin-ai-integration]

Summary

Implements all 31 platform improvements across 5 phases as outlined in the production readiness assessment. This builds on PR #41's hardening work with foundational infrastructure, quality assurance, and production-critical enhancements.

Phase 1 — Critical Foundations

• 130+ database indexes across all 98 tables (FK columns, timestamps, status fields, composite indexes)
• Pino structured logging with service context, ISO timestamps, and log levels
• CORS middleware with production allowlist and dev passthrough
• Graceful shutdown enhanced with DB pool closure
• DB pool tuning — configurable max/min/idle/timeout via env vars

Phase 2 — High Impact

• Sentry error monitoring integration (TypeScript + Python FastAPI)
• x-request-id correlation ID middleware with UUID generation
• Idempotency key middleware for mutation safety (Postgres-backed, 24h TTL)
• Soft delete (deletedAt) on 15 business-critical tables with partial indexes

Phase 3 — Quality Assurance

• Cursor-based pagination on data quality violations endpoint
• DB transaction helper (withTransaction wrapper for multi-table ops)
• Feature flags router — DB-backed CRUD with per-tenant targeting + percentage rollout
• Data quality router — rules engine, violation tracking, dashboard stats

Phase 4 — Critical for Production

• Removed remaining simulation fallbacks (openstef, domain ML, SSE)
• Kafka DLQ with retry + exponential backoff (Go consumer)
• Per-endpoint rate limiting — AI/ML: 30/min, data exports: 10/min
• WebSocket authentication — session cookie verification in production
• Multi-tenant isolation helper utility for row-level filtering

Phase 5 — Competitive Advantages

• OpenTelemetry auto-instrumentation (TypeScript NodeSDK + Python OTEL)
• Backup/DR script — PostgreSQL + Redis → S3 with retention
• Grafana dashboard provisioning (API latency, errors, DB, cache, Kafka)
• k6 load test scripts — smoke/load/stress scenarios with thresholds
• Migration rollback — down migration for 0022

Database Migration 0022

• 130+ indexes on FK, timestamp, status, and composite columns
• Soft delete columns on 15 tables
• New tables: idempotency_keys, feature_flags, data_quality_rules, data_quality_violations

Type of Change

• New feature
• Refactor / code quality

Checklist

• npx tsc --noEmit shows 0 errors
• New tRPC procedures have input validation (Zod)
• DB schema changes have a migration (0022_platform_improvements.sql)
• Sensitive operations use protectedProcedure or adminProcedure
• No mock data used as primary data source

Testing

• TypeScript compiles cleanly with zero errors
• All new routers (featureFlags, dataQuality) use Zod validation
• All new admin operations use adminProcedure
• k6 load test scripts provided for CI integration
• Migration includes rollback script (0022_platform_improvements_down.sql)

Files Changed (29 files, +3195/-73)

New files:

• server/_core/logger.ts — Pino structured logger
• server/_core/requestId.ts — x-request-id middleware
• server/_core/corsConfig.ts — CORS configuration
• server/_core/sentryInit.ts — Sentry error monitoring
• server/_core/idempotency.ts — Idempotency key middleware
• server/_core/otel.ts — OpenTelemetry instrumentation
• server/_core/transaction.ts — DB transaction helper
• server/_core/tenantFilter.ts — Multi-tenant isolation
• server/routers/featureFlags.ts — Feature flags CRUD
• server/routers/dataQuality.ts — Data quality rules engine
• middleware/python/otel_init.py — Python OTEL + Sentry
• tests/k6/load-test.js — Load testing scripts
• infra/backup/backup.sh — Backup/DR script
• infra/grafana/dashboards/platform-overview.json — Grafana dashboard
• drizzle/0022_platform_improvements.sql — Up migration
• drizzle/0022_platform_improvements_down.sql — Down migration

Link to Devin session: https://app.devin.ai/sessions/435f7c350be0477b856f2d87f4c4a6cf

[devin-ai-integration]

Original prompt from Patrick

https://drive.google.com/file/d/1kpaWHhlZq1410zZdqm87cSkY8MNvMOLI/view?usp=sharing
Extract ALL the files and artifact. Analyse and perform the following
1)
1)how robust and integrated is postgres ?
2)how robust and integrated is tigerbeetle ?
3)how robust and integrated is redis ?
4)how robust and integrated is mojaloop ?
5) how robust and integrated is kafka ?
6)how robust and integrated is apisix ?
7)how robust and integrated is keycloak ?
8)how robust and integrated is openappsec ?
9)how robust and integrated is permify ?
10)how robust and integrated is opensearch ?
11) how robust and integrated is fluvio ?
12. How robust and integrated is dapr
2)implement all the gaps and recommendation
how do ensure and assess that features for example domain and business logic/rules/requirements are fully impemented and production ready and complete - can you thoroughly assess each files and features to determine there are ready for production

1. Database integration (replace in-memory with real Postgres)
2. Inter-service HTTP wiring with retries/circuit breakers
3. Security hardening (JWT everywhere, remove hardcoded creds, mTLS)
4. Integration tests for critical flows
5. Graceful shutdown, observability, alerting
6. inter-service grpc wiring with retries/circuit breakers

3)search for orphan, partially and generic scaffolded features across the platform - fully implement them end to end -generic CRUD-only patterns , modules with no domain logic, disconnected features, and incomplete implementations.

[devin-ai-integration]

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