Speed without the cost
Go compiles to fast native binaries with a tiny runtime footprint. You handle more traffic on fewer servers, which shows up directly in your cloud bill.
Microservices, CLI tools, and cloud-native systems built by senior engineers who've shipped Go in production for companies like Setu and Last9.
Trusted by engineering teams at
Go compiles to fast native binaries with a tiny runtime footprint. You handle more traffic on fewer servers, which shows up directly in your cloud bill.
Goroutines make high-concurrency services straightforward to write and reason about. We build systems that handle thousands of simultaneous requests without buckling.
Every Go engineer clears a founder-set bar we reject far more candidates than we accept. You get people who have run Go in production at companies like Setu and Last9.
We match a pod to what your backend actually needs, whether that is a high-throughput API or a CLI toolchain. The team fits the workload, not a fixed staffing plan.
Every Go pod ships with an experienced delivery lead accountable for performance and reliability. High-agency engineers take ownership of the whole service, not just their function.
Go REST and gRPC APIs built with Gin, Echo, or the standard library. We choose the framework based on your requirements: Gin for rapid API development, Echo for middleware-heavy services, or net/http when you want zero dependencies. Every service ships with structured logging, health checks, and graceful shutdown handling.
Production CLI tools built with Cobra and Viper. Single-binary distribution, cross-platform compilation, and proper signal handling. We build internal developer tools, deployment automation, and infrastructure utilities that your team actually uses because they work reliably and start instantly.
Go services designed for Kubernetes, Docker, and serverless environments. Tiny container images (10-20 MB), sub-second startup times, and minimal memory footprints. Go's static compilation means no runtime dependencies, no version conflicts, and no 'works on my machine' issues.
Go systems where latency and throughput matter. Go's goroutine model handles tens of thousands of concurrent connections on modest hardware. We build real-time data processors, high-throughput API gateways, and streaming services where every millisecond counts. When Node.js or Python hit their ceiling, Go is typically the next step.
ETL pipelines, event stream processors, and batch jobs that leverage Go's concurrency primitives. Goroutines and channels make concurrent processing straightforward without the callback complexity of Node.js or the GIL limitations of Python. We design processing pipelines that scale linearly with available cores.
Migrating performance-critical services from Python, Ruby, or Node.js to Go. We identify the services that benefit most from Go's performance characteristics, rewrite them incrementally, and run old and new implementations in parallel until parity is confirmed. Not everything needs to be rewritten. We are honest about which services justify the migration cost.
Go's greatest strength is what it leaves out. We write Go that looks like Go: explicit error handling, minimal abstractions, and clear control flow. If a junior engineer cannot read the code and understand what it does, we rewrite it.
Go's standard library is production-grade. We reach for third-party packages only when the standard library genuinely falls short, not out of habit. Fewer dependencies mean fewer security vulnerabilities, fewer version conflicts, and faster builds.
We design services around Go's concurrency model from the start, not as an optimization pass later. Goroutines and channels are used where they simplify the code, not as a performance trick. The right concurrency pattern depends on the workload, and we pick accordingly.
Go uses composition and interfaces, not class hierarchies. We design service boundaries around small, focused interfaces that make testing straightforward and coupling low. If an interface has more than 3-4 methods, it is probably doing too much.
Every system we build can be maintained by your team or a different vendor. Clean service boundaries, documented decisions, and zero proprietary dependencies. You own everything, always.
We map your system requirements, performance targets, and integration points. You get a technical proposal covering service boundaries, database selection, API design (REST vs gRPC), deployment strategy, and concurrency model. No code written until the architecture is clear.
API contracts defined in OpenAPI or Protocol Buffers before implementation begins. Database schema designed with sqlc or GORM based on query patterns. If migrating from another language, we map existing API contracts to Go implementations.
Sprint-based Go development with working services shipped every two weeks. Table-driven tests written alongside features. Your team gets access to staging environments from week one. Go's fast compilation means CI runs complete in minutes, not hours.
We benchmark under realistic traffic patterns using pprof, benchmark tests, and load generators. Goroutine leak detection, memory allocation profiling, and connection pool tuning. Go makes performance profiling straightforward, and we use that to find and fix bottlenecks before they reach production.
Complete documentation, architecture decision records, and runbooks for every service. Go's simplicity means onboarding new engineers is faster than most languages. Your team owns the system. Optional support retainer available, but no lock-in.
When throughput and concurrency matter and you need that expertise now, a senior Go engineer joins your team and ships production services from week one. They bring 3+ years across API design, concurrency patterns, database integration, gRPC, microservices, and Kubernetes.
When a service or platform needs to be owned end to end, a pod covers architecture, implementation, testing, and deployment as one unit. The lead makes the architecture calls so engineers stay focused on building.
When the scope is defined and you want a fixed outcome, we deliver against clear API contracts, agreed milestones, and transparent pricing. You know exactly what ships and when.
Talk directly with engineers, not sales. We will assess fit and give honest next steps.
Loading calendar...
Go development costs depend on scope. A microservice API with 10-15 endpoints typically runs $15,000 to $35,000. A microservices platform with 5-8 services, inter-service communication, and orchestration sits in the $50,000 to $150,000 range. High-performance systems with custom concurrency patterns, real-time processing, and extensive load testing can run $100,000 to $250,000 or more. Our architecture consultation is free and scopes your specific project.