Skip to content
BACKEND & INFRA/004/

Backend Development & Cloud Infrastructure

Scalable APIs, database architecture, and cloud infrastructure built for reliability, security, and observability — not just for development environments.

See what we built

Observability ships as a deliverable, not an add-on — structured logging, error tracking and uptime monitoring on every system

HOW IT WORKS/001/

Backend Development & Infrastructure

Backend systems are where most products fail silently. A frontend can render without errors while the database connection pool is exhausted, the API is returning stale cached data, and no alerting is configured. Backend development at ApexDev is treated as infrastructure work — designed to be monitored, audited, and scaled from the start, not retrofitted after the first production incident.

Our backend stack centers on Node.js with TypeScript for API services, Firebase (Firestore and Cloud Functions) for real-time and serverless workloads, and PostgreSQL for relational data requiring complex queries, transactions, and compliance-level auditability. PostgreSQL vs. Firestore is a deliberate decision per project — not a default. Financial data, inventory systems, and anything requiring joins and transactional integrity belongs in PostgreSQL. Event-driven content and real-time updates belong in Firestore.

API design follows REST conventions with explicit versioning and contract documentation. We do not build undocumented APIs. Every endpoint has defined request and response schemas, error states, and authentication requirements specified before implementation begins. This discipline reduces frontend integration time by an estimated 35% and makes debugging production incidents faster.

Security is not a post-launch checklist. Authentication and authorization are designed at the architecture level: JWT handling with proper expiry, role-based access control, rate limiting, input validation, SQL injection prevention, and secret management through environment-based configuration are standard across all projects. For applications handling payment data or medical records, we implement additional controls aligned to PCI-DSS and HIPAA requirements.

We configure cloud infrastructure on Vercel (frontend and serverless), Google Cloud Platform (Firebase, Cloud Run, Cloud SQL), and Supabase for managed PostgreSQL with built-in auth and real-time. Infrastructure-as-code is available for projects requiring reproducible, version-controlled environments. Auto-scaling is configured from the start — not as a future enhancement when traffic demands it.

Observability is a first-class deliverable on every project. Every production system we ship includes structured logging, error tracking (Sentry), uptime monitoring, and performance baselines. When something breaks at 2am, you will know before your users do. We configure alerting thresholds, runbooks for common failure modes, and escalation paths as part of every handover package.

What's Included/002/
01RESTful or GraphQL API with versioning and documentation
02Database design with migrations and indexing strategy
03Authentication and role-based authorization system
04Cloud deployment with auto-scaling configuration
05CI/CD pipeline for automated testing and deployment
06Logging, error tracking, and performance monitoring
07Security audit and penetration test preparation
08Runbook and infrastructure documentation

/003/ — Tech Stack

Node.jsTypeScriptFirebasePostgreSQLSupabaseVercelRedisREST APIsGraphQLCloud Run
FAQ/005/

Common Questions

Ready to start a backend development & infrastructure project?

Scope defined before any code is written.