Start a projectStart a projectGoroutines, static binaries, and a language designed for systems programming. We build Go services that start in milliseconds, use minimal memory, and handle massive concurrency.
Microservices, CLI tools, and infrastructure software — Go excels where performance and simplicity matter most.
Go microservices that compile to single static binaries, start in under 100ms, and handle 100k+ concurrent connections with minimal resource consumption.
Goroutines and channels make Go the ideal language for data pipelines, fan-out/fan-in patterns, and any workload that benefits from safe concurrency.
Cross-platform CLI tools that distribute as single binaries — no runtime dependencies, no installation headaches, just copy and run.
Custom Kubernetes operators, Terraform providers, and observability agents — the kind of infrastructure software that the Go ecosystem was built for.
The libraries and infrastructure we pair with Go for production systems.
Custom API gateway handling 200k requests/second with rate limiting, JWT validation, request transformation, and circuit breaking — all in a 20MB binary.
Kafka consumer processing 1M events/minute with exactly-once semantics, schema validation, and fan-out to multiple downstream services.
Custom operator managing database cluster lifecycle — provisioning, scaling, backup scheduling, and failover orchestration for PostgreSQL clusters.
Lightweight agent deployed to 10k edge devices collecting sensor data, performing local aggregation, and syncing to cloud storage over intermittent connections.
Developer CLI tool that orchestrates multi-language builds, manages environment configs, and deploys to staging — distributed as a single binary via Homebrew.
Order matching engine for a marketplace processing bid/ask matching with sub-millisecond latency using lock-free data structures and pre-allocated memory pools.
Goroutines, channels, and context cancellation — Go's concurrency model in action.
// Concurrent pipeline with cancellation func ProcessOrders(ctx context.Context, orders <-chan Order) <-chan Result { out := make(chan Result) sem := make(chan struct{}, 10) // max 10 concurrent go func() { defer close(out) var wg sync.WaitGroup for order := range orders { sem <- struct{}{} wg.Add(1) go func(o Order) { defer wg.Done() defer func() { <-sem }() out <- process(ctx, o) }(order) } wg.Wait() }() return out }
Go excels for CPU-bound work, high-concurrency services, infrastructure tooling, and anything deployed as a standalone binary. Choose Node.js for I/O-heavy web APIs with a large npm ecosystem. Choose Python for ML/data work. Go sits between them for raw performance and operational simplicity.
Go has had generics since 1.18, and the ecosystem has embraced them thoughtfully. Libraries like samber/lo provide functional utilities, and the standard library is being updated. Go's generics are intentionally simpler than Java/C# — which is a feature, not a limitation.
We embrace Go's explicit error handling: errors are values, wrapped with fmt.Errorf or errors.Join for context, and checked at every call site. Custom error types implement the error interface for type-based handling. It's verbose but makes error paths visible and testable.
For many workloads, yes. Go services use 10-50x less memory than equivalent Java services, start in milliseconds instead of seconds, and compile to static binaries that simplify deployment. The tradeoff is a smaller ecosystem for enterprise patterns like DI and ORM.
Let's create Go services that are fast to deploy, cheap to run, and easy to maintain.
Start your Go project