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Golang (Go) • gRPC • REST • GraphQL

API Development & High-Concurrency Golang Microservices

Ultra-low-latency backend APIs, webhook ingestion pipelines, and distributed microservices engineered in Golang, Node.js, and Python.

Engineering Overview

Why Growing Businesses Partner with ZipeerTech for API & Golang Microservices

Your frontend application is only as reliable as the API layer powering it. When traffic spikes, poorly designed backend APIs suffer from N+1 database queries, memory leaks, dropped webhooks, and cascading timeouts.

At ZipeerTech, backend and API engineering is our core strength. We architect high-concurrency REST, GraphQL, and gRPC APIs using Golang (Go), Node.js, and Python—complete with Redis rate limiting, idempotent webhook processing, OpenAPI 3.1 documentation, and sub-20ms response times.

Key Business Outcomes:

  • Up to 80% lower server RAM consumption using Golang microservices
  • Sub-20ms p95 API latency with optimized PostgreSQL indexing & Redis caching
  • 100% idempotent payment and webhook handling with zero data loss
  • Auto-generated Swagger / OpenAPI 3.1 interactive documentation
Bottlenecks Eliminated

Challenges We Solve

API Timeouts & Memory Spikes Under Concurrency

Offload CPU- and I/O-intensive ingestion endpoints to compiled Golang microservices with bounded goroutine worker pools.

Disconnected Third-Party Software Silos

Unify payment gateways, logistics carriers, ERPs, CRMs, and WhatsApp Business APIs through a single resilient integration hub.

Duplicate Transactions & Lost Webhooks

Enforce cryptographic signature verification, idempotency keys, dead-letter queues, and exponential backoff retries.

Undocumented & Fragile Backend Endpoints

Deliver strictly typed schemas (Zod / Protobuf / OpenAPI) with automated integration testing and versioned API contracts.

What We Deliver

API & Golang MicroservicesCapabilities & Architecture

01

High-Concurrency Golang (Go) Microservices

Compiled Go backend services handling 100,000+ concurrent connections with minimal cloud RAM footprint.

02

RESTful, GraphQL & gRPC API Design

Versioned, schema-validated API gateways engineered for mobile apps, web frontends, and B2B partner ecosystems.

03

Payment, Banking & FinTech Integrations

Idempotent integrations with Stripe, Razorpay, Cashfree, Plaid, banking rails, and automated ledger reconciliation.

04

Real-Time WebSockets & Event Streaming

Bi-directional live data streaming using Redis Pub/Sub, Kafka, and WebSockets for dashboards, chat, and notifications.

05

CRM, ERP & WhatsApp Cloud API Connectors

Seamless two-way synchronization between Salesforce, HubSpot, Zoho, SAP, Tally, and Meta WhatsApp Business APIs.

06

API Security, OAuth2 & Rate Limiting

JWT/OAuth2 authentication, HMAC request signing, IP throttling, and OWASP API Top-10 security hardening.

Production Tech Stack

Technologies & Frameworks We Use

We select proven, modern technologies engineered for long-term maintainability, security, and sub-second response times.

Golang (Go)Node.js (Fastify / NestJS)Python (FastAPI)gRPC & ProtobufGraphQLPostgreSQL (pgx)Redis / KafkaDocker & AWS
Noida Engineering HubISO / OWASP Aligned
Real-World Applications

Industry Use Cases for API & Golang Microservices

High-Volume Webhook & Telemetry Ingestion

Processing tens of thousands of IoT, financial, or CRM webhook events per minute without dropping packets.

Public Developer API Monetization

Launching a metered B2B API product with customer API key management, usage quotas, and developer docs.

Multi-Vendor Marketplace Orchestration

Synchronizing inventory, split payouts, shipping labels, and tax calculations across dozens of external APIs.

Monolith-to-Microservices Extraction

Extracting slow reporting or CSV-processing bottlenecks out of a legacy app into a fast Golang service.

Frequently Asked Questions

Common Questions About API & Golang Microservices

When does ZipeerTech use Golang (Go) vs Node.js or Python for API development?

We use Golang for high-concurrency microservices, bulk data ingestion, real-time telemetry, and financial ledgers where low latency and tiny memory usage are critical. We use Node.js/TypeScript for unified Next.js BFF layers, and Python for AI/ML and data science pipelines.

Can you build custom API integrations between two systems that don't natively talk to each other?

Yes. We build custom middleware bridges, webhook translators, and scheduled sync workers that connect legacy ERPs, custom databases, payment gateways, and modern SaaS tools.

How do you secure APIs against unauthorized access and DDoS abuse?

Every API we build enforces OAuth2/JWT token verification, strict payload schema validation, parameterized SQL queries, TLS encryption, and distributed Redis token-bucket rate limiting.

Do you provide full API documentation for our internal developers?

Yes. Every API delivery includes interactive OpenAPI/Swagger documentation, Postman collections, and environment setup guides.