Backend System Architecture & Scalability Engineering

A product that works for 100 users often breaks at 10,000. Scalability isn't something you add later — it's a consequence of architectural decisions made early. Solviba designs backend systems that handle growth without requiring expensive rewrites, using battle-tested patterns applied to your specific use case.

Architecture Review & Design

We assess your current or planned architecture against your actual growth requirements — not theoretical maximum load. We identify the components most likely to become bottlenecks and design solutions that address real constraints, not imaginary ones.

• Monolith vs. service decomposition analysis

• Database schema design for read/write performance at scale

• Caching strategy with Redis for high-frequency data access

• Queue-based processing for async workloads and background jobs

Database Optimization & Data Modeling

We work with PostgreSQL, Supabase, MongoDB, and Firebase — choosing the right database for the query patterns and consistency requirements of your product. We design schemas with indexing, normalization, and query performance in mind from day one, so you're not running slow queries against a poorly structured database at scale.

API Design for Reliability & Extensibility

We design APIs that are consistent, versioned, and documented — built with Node.js and Express following REST conventions. Rate limiting, authentication middleware, input validation, and error handling are standard. External integrations are wrapped in resilient client layers with retry logic and circuit breakers.

Infrastructure & Deployment Architecture

We design deployment infrastructure on Railway, Docker, or cloud providers, with CI/CD pipelines via GitHub Actions. Horizontal scaling, zero-downtime deployments, and environment separation (dev/staging/prod) are built into the workflow from the start — not patched in after your first outage.