Go Backend Development
Go API Development for Startups
Backend APIs that handle real traffic without bloated infrastructure. Go's concurrency model, minimal memory footprint, and fast Lambda cold starts make it the right choice for startups that want to scale cost-efficiently.
~15ms
Go Lambda cold start
61 MB
Memory at 1k connections
150+
Projects delivered
8+
Years backend
Architecture by Stage
Right-Sized Architecture at Every Stage
Early-stage: monolithic Go API
One service, one database, deployed to a single instance or Lambda. Fast to build, fast to deploy, and simple to debug. We size the architecture to where you are now, not where you might be in three years.
Growth stage: service extraction
As traffic and team size grow, we extract the highest-load services (auth, payments, notifications) into separate Go services. Each service owns its data. No premature microservices, no distributed monolith.
Scale stage: event-driven and async
SQS or Kafka for background job queues, Go consumers for processing. Separates slow operations (email sends, data processing, webhooks) from the hot request path. Lambda functions for event triggers and scheduled jobs.
Infrastructure as code
Terraform or AWS CDK for all infrastructure. Go services containerized with Docker, deployed to ECS Fargate or Lambda. GitHub Actions CI/CD pipeline. No manual deployments by the second month.
The Numbers
Why Go Specifically
At 100 concurrent connections, our Go APIs handle 31% more requests per second than equivalent Node.js Fastify services, with 3× less memory. At 1000 connections, the gap widens. See our load test post for the numbers.
AWS Lambda cold starts in Go are 10-30ms. Node.js Lambda cold starts are 200-400ms. For event-driven architectures, this matters for user-facing endpoints.
Go compiles to a single static binary. No runtime to install, no dependency hell, no version mismatches between environments. Docker images are 10-20 MB instead of 200+ MB.
We have shipped Go APIs in production: the UN document indexing service, Go Lambda functions on AWS, and Go microservices alongside Node.js and .NET systems. We know the pain points.
Tech Stack
Technologies We Use
Common Questions
Frequently Asked Questions
Is Go a good choice for a startup backend?
It depends on your team and stage. Go produces fast, low-memory APIs and single self-contained binaries, which keeps infrastructure costs low. The downside is the ecosystem is smaller than Node.js and hiring is harder. For startups where the founders or first engineers already know Go, it is an excellent choice. For teams coming from JavaScript, Node.js with Fastify will ship faster in the early months.
How does Go handle traffic spikes?
Go's goroutine model handles concurrent connections with minimal memory overhead. Each goroutine uses roughly 8 KB of stack (compared to ~1 MB per OS thread in languages that use native threading). A single Go service on a t3.medium can handle thousands of concurrent connections without horizontal scaling. For spiky traffic, Go on AWS Lambda has cold starts of 10-30ms, which makes it viable for event-driven workloads that Node.js Lambda functions handle less efficiently.
Can Go integrate with third-party APIs and payment providers?
Yes. Go has official or well-maintained SDKs for Stripe, AWS (SDK v2), SendGrid, Twilio, and most major services. The ecosystem is smaller than npm but covers the integrations most startups need. For highly integration-heavy workflows (dozens of third-party APIs), we evaluate whether Node.js would ship faster.
Further Reading
Related Articles
Building a Go API?
Tell us your traffic requirements, team size, and current stack. We will scope an engagement or tell you honestly if Node.js would serve you better right now.
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