Backend, APIs & Microservices
Backend engineering for the traffic you don't have yet.
Node.js and NestJS services, REST and gRPC APIs, and event-driven architecture designed for the load your product will see after it works, not just while it's small.
The unglamorous layer that decides whether your product survives success.
How it typically works
A process built for this discipline.
Architecture audit
We review what exists, or design service boundaries from scratch if there is nothing yet.
Data modelling
We design schemas and service boundaries around how your data actually gets read and written.
Build and test
We write services with automated tests around the logic that is expensive to get wrong.
Load testing
We test against realistic traffic patterns before your users do it for us in production.
Deploy and observe
We ship with logging, tracing, and alerting in place, not added after the first incident.
What we build
What you get when we take this on.
REST and gRPC APIs
Event streaming with Kafka and Redpanda
PostgreSQL and MongoDB data modelling
Service-to-service auth and rate limiting
Third-party and internal system integrations
AWS deployment and infrastructure
Built for supply chain scale on BitNautic
We engineered the data and integration backbone connecting producers, retailers, shippers, and carriers on BitNautic's global logistics platform.
FAQ
Common questions about this work.
Should we start with microservices or a monolith?
For most early-stage products, a well-structured monolith is faster to build and easier to reason about than microservices you do not need yet. We design internal boundaries so it can split later, and only recommend microservices when a real scaling or team-ownership problem calls for it.
Can you take over and improve a legacy backend?
Yes, this is a common engagement. We start with an architecture audit to find where the risk actually lives, then prioritize fixes by what threatens uptime or velocity first, rather than rewriting everything at once.
When do you use gRPC instead of REST?
gRPC for internal service-to-service calls where performance and strict contracts matter, REST for anything public-facing or consumed by a browser. Most systems end up using both, and we design the boundary deliberately rather than picking one dogmatically.
How do you decide between PostgreSQL and MongoDB?
PostgreSQL by default for anything relational or transactional, MongoDB where the data is genuinely document-shaped or the access pattern benefits from it. We will tell you when a document database is being used to avoid schema design rather than because it fits.
Do you provide ongoing on-call or uptime support?
We can, scoped explicitly as part of the engagement rather than assumed. For clients who want it, we set up monitoring and alerting and take a defined on-call rotation for production incidents.
Let's build something that ships.
Tell us your goals, timeline, and budget. We will tell you honestly whether we are the right team and what it would take to get started.
Average response time: 12 hours
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