Golang Backend Development
Backend services in Go for high-throughput APIs, microservices, background workers and integrations that need predictable performance and simple deployment.
Built around your operation.
We design and build backend services in Go (Golang): public and internal APIs, microservices, background job processors, event-driven systems and integration services that connect your applications with third-party platforms.
Why it matters
Go compiles to a self-contained binary, starts quickly and has goroutines and channels for concurrent work built into the language. That makes it a strong fit for services handling many simultaneous requests or long-running jobs on modest infrastructure. The lasting benefit still comes from clear service boundaries, careful data access and good operational visibility.
Core scope
- REST and gRPC APIs in Go
- Event-driven services, workers and queues
- Observability, testing and cloud deployment
A deliberate approach.
- 01
Define service boundaries, API contracts (OpenAPI or Protocol Buffers) and data ownership
- 02
Implement handlers, domain logic and data access with table-driven tests and the race detector
- 03
Add structured logging, metrics, tracing, health checks and graceful shutdown
- 04
Containerise, deploy through CI/CD and load-test against agreed latency and throughput targets
ILLUSTRATIVE SYSTEM / CONNECTED DELIVERY LAYERS
Tools for the work.
- Go
- gRPC
- PostgreSQL
- Redis
- Kafka
- Docker
- Kubernetes
- Prometheus
- AWS
- Google Cloud
What we design toward.
- Predictable latency under load
- Small, simple deployable services
- Code that is easy to read, test and operate
Typical use cases.
Common situations where teams bring us in for this work.
- 01
High-traffic APIs
Public or partner APIs that need consistent response times, rate limiting, authentication and versioning.
- 02
Background processing
Workers for queues, scheduled jobs, file imports, notifications and webhook delivery, with retries and idempotent processing.
- 03
Integration and gateway services
Services that sit between your product and payment, messaging, logistics or CRM providers and normalise their APIs.
- 04
Performance hot spots
Moving a slow or resource-hungry part of an existing Node.js, Python or PHP system into a focused Go service without rewriting everything.
Questions buyers ask.
Straight answers about scope, risk and ownership before you start a project.
When is Go the right choice for a backend?
Go suits network services, APIs, concurrent processing and infrastructure tooling where predictable performance, low memory use and simple deployment matter. Python is often a better fit for data-science-heavy work, and Node.js may be more practical for a team already invested in TypeScript. We recommend the language that fits the workload and the team that will maintain it.
Do you build microservices or a monolith?
Usually a well-structured modular service first, split only where there is a clear reason such as independent scaling, a separate team or a different reliability requirement. Premature microservices add network failure modes, deployment overhead and data-consistency problems without adding value.
Can you add a Go service to our existing system?
Yes. A common approach is to extract one performance-critical or integration-heavy capability into a Go service behind a stable API, run it alongside the existing system and move traffic over gradually.
How do you make Go services production-ready?
Context-aware timeouts and cancellation, graceful shutdown, structured logs, metrics and traces, health and readiness checks, tests run with the race detector, and load tests against agreed targets before launch.
Related services and guides.
Further reading
Have a difficult system or product to build?
Tell us what you are trying to improve. We will tell you how we would approach it.