High-Throughput REST APIs
Go HTTP services designed for high concurrent request volume with predictable latency and modest memory use relative to equivalent dynamic-language services.
We build Go-based backend services, REST APIs, and gRPC microservices for applications requiring extreme throughput, low latency, and minimal infrastructure cost.
20+ Go services in production | Gin, Echo, gRPC, Kubernetes-native services
Projects delivered
Clients worldwide
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WHY CODEFLAMME
RESPONSE TIME
< 24h
We reply to every inquiry within one business day with a structured plan.
What We Build
Production applications across product types — scoped to your users, stack, and growth stage.
6 product types — compare what we ship with Go (Golang) in production.
Go HTTP services designed for high concurrent request volume with predictable latency and modest memory use relative to equivalent dynamic-language services.
Protocol Buffer-defined gRPC services for internal service-to-service communication in microservices architectures running on containers or Kubernetes.
Concurrent payment processing systems where correctness, performance, and resource efficiency are simultaneously required.
High-throughput data ingestion services, stream processors, and event-driven systems handling continuous event volume with backpressure-aware design.
Go-based command-line tools, Kubernetes operators, and infrastructure automation with fast startup and distribution as single binaries.
Proxies, load balancers, custom protocols, and networking utilities where Go's concurrency model and performance are uniquely suited.
WHY CODEFLAMME
We know the hesitation. Here's exactly how we're different.
No account managers relaying messages. You're in direct contact with the founder and senior engineers on your project — every sprint, every decision.
The team that scopes your project is the team that ships it. We don't swap engineers mid-project to free them up for someone else.
Your idea and IP are protected from the first real conversation — not after contracts are signed.
Every line of code, every design file, transfers to you on delivery. No licensing, no retained rights, no surprises.
Our Capabilities
Core delivery areas for Go (Golang) — architecture, implementation, and production hardening.
Idiomatic Go REST API design with net/http, Gin or Echo — proper error handling, middleware patterns, and request validation.
Goroutines, channels, sync primitives, and context propagation for safe, high-performance concurrent Go applications.
Service definition with Proto files, bidirectional streaming, and gRPC-Gateway for JSON/REST compatibility.
pgx for PostgreSQL, GORM for ORM use cases, Redis, and sqlc for type-safe SQL code generation.
Table-driven tests, testify, mock generation with mockery, and integration tests using testcontainers-go.
OpenTelemetry instrumentation, Prometheus metrics, structured logging with zap or slog for production Go services.
When to Choose
Decision scenarios where Go (Golang) is the strongest fit — and why it earns the recommendation.
Primary use case
Go is a strong fit when traffic volume and CPU efficiency are the primary drivers — especially for services that would otherwise need many more instances in a higher-overhead runtime.
Scenario
Go's modest memory footprint and efficient concurrency often means fewer, smaller instances — material cost reduction once traffic is steady and measurable.
Scenario
Go's concurrency model, fast process startup, and static binaries make it a natural fit for containerised services alongside Docker and Kubernetes tooling.
Scenario
Go's goroutines and channels provide safe concurrency without the complexity of threads, locks, and callback hell.
In Practice
Concrete Go service shapes we ship, when Go beats Node or Python, and how containers and cloud fit the delivery path.
Go work we deliver is usually infrastructure-adjacent product code: REST or gRPC APIs under sustained load, payment processors, ingestion workers, and operators or CLIs as single binaries. Packages stay idiomatic — clear errors, context propagation, table-driven tests — with structured logs and OpenTelemetry from the start.
Go fits when throughput, memory budget, or cold-start behaviour dominate. Node remains better for I/O-heavy product APIs on a JavaScript team; Python when ML libraries own the domain. Go services sit beside other stacks over gRPC or queues, ship as Docker images on Kubernetes, and run on AWS with managed load balancing and autoscaling.
Typical CodeFlamme shapes include rate-limited public APIs in front of Postgres, webhook fan-out workers, and sidecar-style auth or policy services next to Nest or Django apps. We keep protobuf or OpenAPI contracts shared with TypeScript clients so UI teams do not reverse-engineer payloads. CI builds static binaries into slim images; health and readiness probes follow the same Kubernetes patterns we use for other languages. When a product needs both a Go edge service and a Node BFF, we put the latency-sensitive path in Go and leave product orchestration where the team already ships TypeScript.
Go binaries containerise cleanly — small images, fast startup, and straightforward health checks for Kubernetes Deployments and Jobs.
We typically deploy Go services on AWS with ECS or EKS, ALB/NLB, managed Postgres or Redis, and CloudWatch or OpenTelemetry exporters.
Go services often own high-volume integration edges — partner APIs, webhooks, and fan-out workers — within our API integration practice.
Complementary Stack
The tools we pair with Go (Golang) in production — organised by layer, not hype.
LAYERS
06
TOOLS
32
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FAQ
Can't find what you need? Talk directly with our team.
Book a Discovery CallGo for services with extreme throughput requirements, tight memory budgets, or CPU-intensive work. Node.js for I/O-bound services, real-time applications, and JavaScript full-stack consistency.
Tell us what you are building. We will respond within 24 hours with a clear, honest assessment — no pressure, no sales pitch.
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