Go Development Services
High-Performance Microservices & Cloud-Native APIs
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
Procedure is a Go development company that builds high-concurrency backend services, CLI tools, and cloud-native infrastructure for engineering teams that need C-level performance with Python-level productivity. Since 2016, Procedure's Go engineers have delivered microservices, API gateways, and observability backends for clients including Last9 and Setu. The team builds Go services that integrate with Node.js frontends and deploy to AWS infrastructure.
Go Development Track Record
Why Go for Your Business
Built for concurrency. Compiled for speed. Designed for simplicity.
Concurrency by Design
Go's goroutines handle thousands of concurrent operations with minimal memory overhead. For APIs, message brokers, and real-time systems, Go delivers throughput that interpreted languages cannot match.
Fast Compile, Fast Deploy
Go compiles to a single static binary in seconds. No dependency management at deploy time, no runtime installation. Your CI/CD pipeline runs faster and your containers are 10-50MB instead of hundreds.
Operationally Simple
Go's standard library covers HTTP servers, JSON handling, cryptography, and testing. Teams build production services with fewer dependencies, which means fewer security vulnerabilities and smaller attack surfaces.
Cloud Infrastructure Standard
Docker, Kubernetes, Terraform, and Prometheus are all written in Go. If your team operates cloud-native infrastructure on AWS, Go is the language your tooling already speaks.
Predictable Performance
Go's garbage collector pauses for microseconds, not milliseconds. For latency-sensitive services like payment processing and real-time observability, Go provides the consistency that garbage-collected alternatives struggle to deliver.
Go Development Services
Microservices, APIs, and high-performance backend systems.
Go API & Microservices (Gin, Echo, gRPC)
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.
Go CLI Tools & Developer Tooling
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.
Cloud-Native Go Services
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.
High-Performance Go Systems
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.
Go Concurrent Data Processing
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.
Go Migration & Modernization
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.
Industries We Build Go Systems For
Domain knowledge that accelerates delivery and reduces risk.
Financial Services & Fintech
High-throughput payment gateways, real-time risk scoring engines, and order matching systems. Go's concurrency primitives handle thousands of simultaneous transactions with predictable latency.
SaaS & Technology
API gateways, service meshes, and platform infrastructure tools. Go's fast compilation and small binaries make it ideal for CLI tools, microservices, and developer platform backends.
Healthcare & Life Sciences
HIPAA-compliant data pipelines, medical device integrations, and health record APIs. Go's memory safety and static binaries simplify deployment in regulated healthcare environments.
Education & EdTech
Real-time collaboration backends, WebSocket servers for live classrooms, and content delivery APIs. Go's goroutines efficiently manage thousands of concurrent student connections.
Infrastructure & DevOps
Custom Kubernetes operators, CI/CD pipeline tools, and infrastructure automation. Go is the language of cloud-native tooling, from Docker to Terraform to Prometheus.
Logistics & Supply Chain
Real-time tracking services, route optimization APIs, and warehouse management backends. Go's low-latency processing handles high-frequency location updates across global fleets.
Is Go Right for Your Backend?
Simple language, serious performance. But simplicity has trade-offs.
High-throughput API services and microservices
Compiled to native binaries with sub-millisecond cold starts. Goroutines handle tens of thousands of concurrent connections with minimal memory overhead. No runtime, no garbage collection pauses at scale.
Infrastructure and DevOps tooling
Kubernetes, Docker, Terraform, Prometheus - the cloud-native ecosystem is built in Go. If you're building infrastructure tooling, you're already in Go's world.
Services where operational simplicity matters
Single static binary deployment. No dependency management at runtime. No JVM tuning, no interpreter version conflicts. Copy the binary, run it. That's it.
Teams that value readability over expressiveness
Go forces explicit error handling, minimal abstractions, and straightforward control flow. Code written by any Go developer reads the same way. Onboarding new team members takes days, not weeks.
If your team is JavaScript-native and you need full-stack velocity, Node.js with TypeScript avoids the language switch. For ML and data science workloads, Python owns the ecosystem. Go's simplicity means fewer abstractions, which can mean more boilerplate for complex business logic. We'll tell you when Go is overkill and when it's exactly right.
We’ve built Go services handling 50K+ requests/second in production.
Go vs Node.js vs Rust: When You Need What
We build with all three. Here's how we decide.
Go
Best for
High-throughput APIs, microservices, infrastructure tooling, CLI tools, DevOps automation
Why
Compiled to a single static binary. Goroutines handle massive concurrency without callback complexity. Sub-millisecond cold starts and tiny memory footprint make it ideal for containerized and serverless deployments. The cloud-native ecosystem (Kubernetes, Docker, Terraform) is built in Go.
We use it when
You need high throughput with low latency, operational simplicity matters (single binary, no runtime), or you're building infrastructure-level services where startup time and memory footprint are critical.
Node.js (TypeScript)
Best for
Full-stack JavaScript teams, real-time apps (WebSocket, SSE), API gateways, BFF layers
Why
Same language on frontend and backend eliminates context switching. The npm ecosystem has a package for almost everything. Event-driven I/O handles concurrent connections efficiently for I/O-bound workloads.
We use it when
Your team is JavaScript-native and you want full-stack velocity, you're building real-time features, or you need a lightweight API layer between frontend and downstream services.
Rust
Best for
Systems programming, WebAssembly, performance-critical services, embedded systems, safety-critical applications
Why
Zero-cost abstractions and no garbage collector mean predictable, maximum performance. Memory safety without a runtime. When Go is fast enough for most workloads, Rust is for when 'most' isn't enough.
We use it when
You need bare-metal performance without garbage collection pauses, are building WASM modules for the browser, or require memory safety guarantees for safety-critical systems. Rust's learning curve is steep, so reserve it for workloads that justify the investment.
Go is our default for new backend services where performance and simplicity matter. Node.js wins when the team is JavaScript-native and full-stack velocity is the priority. Rust is reserved for performance-critical paths where Go isn't fast enough (which is rare). We frequently run Go and Node.js services side by side in the same system, each handling the workload it's best suited for.
Our Approach to Go Development
Go rewards simplicity. We write code that reflects that.
Go's Simplicity Is a Feature
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.
Standard Library First
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.
Concurrency by Design
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 Interfaces Over Inheritance
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.
Exit-Ready Architecture
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.
How We Deliver Go Projects
Working software every sprint, not just progress updates.
Architecture & Discovery (1-2 weeks)
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 Design & Data Modeling (1-2 weeks)
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.
Go Development & Iteration (6-14 weeks)
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.
Load Testing & Performance Tuning (1-2 weeks)
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.
Handoff & Go Team Enablement
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.
Our Go Stack
Every tool earns its place. Here’s what we ship with and why.
| Layer | Tools | Why |
|---|---|---|
| Language | Go 1.23+ | Range-over-func iterators, enhanced servemux routing, and continued performance improvements |
| Web Framework | Gin, Echo, Chi, Fiber | Gin for established APIs, Echo for middleware-heavy services, Chi for stdlib compatibility, Fiber for raw throughput |
| gRPC | gRPC-Go, Protocol Buffers | Low-latency service-to-service communication with code-generated type-safe clients |
| ORM / Query | GORM, sqlc, pgx | GORM for rapid development, sqlc for compile-time SQL validation, pgx for raw Postgres performance |
| Database | PostgreSQL, Redis, MongoDB | Postgres for relational data, Redis for caching and pub/sub, MongoDB for document workloads |
| Message Queue | Kafka, NATS, RabbitMQ | Kafka for high-throughput event streaming, NATS for lightweight messaging, RabbitMQ for reliable task queues |
| Testing | Go testing, testify, gomock | Standard library testing for most cases, testify for assertions, gomock for interface mocking |
| API Style | REST, gRPC, GraphQL via gqlgen | REST for public APIs, gRPC for internal services, gqlgen for type-safe GraphQL from Go structs |
| Hosting | AWS ECS/Lambda, GCP Cloud Run, Kubernetes | ECS for containers, Lambda for event-driven, Cloud Run for fast autoscaling, Kubernetes for complex orchestration |
| CI/CD | GitHub Actions, Docker, GoReleaser | GitHub Actions for pipeline automation, Docker for consistent builds, GoReleaser for binary distribution |
| Monitoring | Prometheus, Grafana, OpenTelemetry | Prometheus for metrics collection, Grafana for dashboards, OpenTelemetry for distributed tracing |
Go compiles to a single static binary with no runtime dependencies. That means smaller containers, faster cold starts, and fewer things to debug in production. We reach for Go when performance and operational simplicity matter more than ecosystem breadth.
Testimonials
Trusted by Engineering Leaders
“What started with one engineer nearly three years ago has grown into a team of five, each fully owning their deliverables. They've taken on critical core roles across teams. We're extremely pleased with the commitment and engagement they bring.”
“We've worked with Procedure across our portfolio, and the experience has been exceptional. They consistently deliver on every promise and adapt quickly to shifting project needs. We wholeheartedly recommend them for anyone seeking a reliable development partner.”
“Procedure has been our partner from inception through rapid growth. Their engineers are exceptionally talented and have proven essential to building out our engineering capacity. The leadership have been thought partners on key engineering decisions. Couldn't recommend them more highly!”
“What started with one engineer nearly three years ago has grown into a team of five, each fully owning their deliverables. They've taken on critical core roles across teams. We're extremely pleased with the commitment and engagement they bring.”
Discuss Your Go Project
Whether it’s microservices, CLI tools, or a backend migration to Go, we’re happy to talk through your situation.
Schedule a CallNo sales pitch. Just an honest conversation.
What you get
Engineers with 3+ years building production Go systems. Microservices with Gin, Echo, or Chi. gRPC and Protocol Buffers for internal APIs. Concurrency patterns done right. Clean, idiomatic Go with full test coverage.
Our team is based in India with flexible hours overlapping US EST and PST time zones.
Hire Go Developers
Senior Go engineers who write clean, concurrent, production-ready code.
Dedicated Developer
Engineers with 3+ years building production Go systems. Full backend capability spanning API design, concurrency patterns, database integration, and cloud infrastructure. Experience with gRPC, microservices, and Kubernetes deployments.
Ongoing backend development, 3-month minimum engagement
Team Pod (2-4 Engineers + Lead)
A self-contained team that owns full service delivery. Architecture, implementation, testing, and deployment covered. The lead handles architecture decisions while engineers focus on building.
Full service or platform ownership, 6-month minimum engagement
Project-Based Delivery
Fixed-scope engagement with clear deliverables, timeline, and budget. Defined API contracts, agreed milestones, and transparent pricing.
Defined scope with clear deliverables, scope-dependent
Starting at $3,500/month per developer for full-time dedicated engagement.
Talk to Us About Your TeamReady to Discuss Your
Go Development Services Project?
Tell us about your Go project. Whether it's microservices, CLI tooling, or a backend migration, we'll discuss architecture and give honest next steps.
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Go Development FAQ
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.