Architecture
Before choosing a database or queue, I write down the behavior we cannot accidentally change: who may see the data, how long a request may take, what happens after a retry, and how we recover a bad deploy. That list usually matters more than the diagram.
1. Bound the API contract, response shape, and pagination behavior before optimizing.
2. Choose persistence based on access patterns: relational, document, graph, cache, search, or stream.
3. Move slow work to queues only when retry, idempotency, and user expectations are clear.
4. Make failure modes visible through logs, health checks, metrics, and production-safe smoke checks.
Portfolio request flow
The platform you are using: cached public reads, a server-side contact proxy, and protected content administration.
1. Browser → Nginx → Next.js
HTTPS terminates at the reverse proxy. Next serves the public routes and resume.
2. Public pages → NestJS snapshot
Server-side reads are cached for 60 seconds; versioned fallback content keeps public pages available when the API cannot respond.
3. Contact form → Next route → NestJS
Input is validated before the message is accepted. Errors retain the draft and offer direct email.
4. NestJS → Prisma → PostgreSQL
Published content and contact messages are persisted here. Admin access requires authentication.
Delivery: GitHub Actions → Docker Compose → health verification. API/database traffic stays inside the deployment network.
Before implementation
Data
I model read/write paths, ownership, indexes, and retention rules before picking PostgreSQL, MongoDB, Neo4j, Redis, or Elasticsearch.
Runtime
User-facing requests stay bounded; expensive jobs move behind queues only when retry and observability behavior is defined.
Delivery
Docker, Nginx, CI/CD, health checks, environment boundaries, and rollback notes are part of the architecture, not afterthoughts.
Team
Module boundaries, PR standards, docs, and ownership rules keep a backend team productive after the first implementation is done.
Decision notes
Concern
Decision rule
Typical tools
Transactional data
Use when correctness, relations, constraints, and predictable querying matter.
PostgreSQL, Prisma, TypeORM
Realtime delivery
Separate durable state from transport events and define what can be dropped.
Socket.IO, WebRTC, RabbitMQ
High-cost work
Move out of request path when the user can wait and retries are safe.
RabbitMQ, workers, Redis
Search and graph data
Use specialized stores when relational queries become the wrong model.
Elasticsearch, Neo4j, MongoDB
Production operations
Plan for deployment, monitoring, logs, backups, and rollback before release.
Docker, Nginx, Linux VPS, GitHub Actions
System maps
Database and API performance work on a commerce and CRM platform, alongside backend team management.
40% lower average API latency and 99.9% platform uptime over approximately six months.
Open case studyOperator Platform Runtime
Support, automation, and real-time workflows coordinated through bounded NestJS modules and async processing.
Conceptual responsibilities, not a network topology or a complete deployment diagram.
Product surfaces
Service boundaries
Data & coordination
Operations & integrations
Ongoing freelance work on gold and cryptocurrency trading, with a focus on wallet consistency and live market data.
Atomic balance updates and idempotency safeguards protect against concurrent overdrafts and duplicate transaction logs.
Open case studyTrading and Payment Runtime
Gold and crypto trading flows coordinated through pricing, charting, wallet, gateway, and operations services.
Conceptual responsibilities, not a network topology or a complete deployment diagram.
Product surfaces
Service boundaries
Data & coordination
Operations & integrations
NestJS microservices for consulting, learning, messaging, and voice/video sessions.
500+ concurrent users in production, with observed messaging latency of 100–150 ms.
Open case studyReal-Time Consulting Platform
Communication state, session orchestration, SQL persistence, and media flows kept in separate runtime concerns.
Conceptual responsibilities, not a network topology or a complete deployment diagram.
Product surfaces
Service boundaries
Data & coordination
Operations & integrations
Cryptocurrency backend services for identity checks, exchange integrations, commissions, and referrals.
Delivered identity-verification, exchange-integration, and financial workflow services.
Open case studyExchange Backend and KYC Flow
Compliance-sensitive onboarding and exchange workflows backed by relational, document, graph, cache, and search stores.
Conceptual responsibilities, not a network topology or a complete deployment diagram.
Product surfaces
Service boundaries
Data & coordination
Operations & integrations