Software developmentAPI Design & Microservices

APIs and Microservices Built to Scale

We design and build secure, well-documented APIs and modular services that keep your platform fast, reliable, and easy to evolve as features and traffic grow.

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REST, GraphQL, event-driven integrations, and microservices architecture with production-grade security and observability.

REST, GraphQL, event-driven integrations, and microservices architecture with production-grade security and observability.

REST, GraphQL, event-driven integrations, and microservices architecture with production-grade security and observability.

REST, GraphQL, event-driven integrations, and microservices architecture with production-grade security and observability.

REST, GraphQL, event-driven integrations, and microservices architecture with production-grade security and observability.

REST, GraphQL, event-driven integrations, and microservices architecture with production-grade security and observability.

REST, GraphQL, event-driven integrations, and microservices architecture with production-grade security and observability.

REST, GraphQL, event-driven integrations, and microservices architecture with production-grade security and observability.

REST, GraphQL, event-driven integrations, and microservices architecture with production-grade security and observability.

REST, GraphQL, event-driven integrations, and microservices architecture with production-grade security and observability.

Clean service layers that power modern products

Whether you need a new backend for a web or mobile app, a partner integration layer, or a path out of a monolith, we build APIs and services that are consistent, scalable, and safe to change.

Public and partner APIs

Integration hubs and middleware

Event-driven systems (queues and streams)

Internal service layers for web and mobile apps

Microservices and modular monoliths (right-sized architecture)

Legacy modernization and API wrapping

What we cover

API Strategy and Design

  • Resource modeling and endpoint design (REST)

  • GraphQL schemas where it fits product needs

  • Versioning, deprecation, and backward compatibility rules

  • Naming conventions and standards to keep APIs consistent

Auth, Access, and Security

  • OAuth2, JWT, API keys, SSO patterns where needed

  • Role-based access control and least privilege

  • Rate limiting, throttling, WAF policies at the gateway layer

  • Secure input validation and OWASP-aligned protections

Service Architecture and Boundaries

  • Right-sized choices: modular monolith vs microservices

  • Domain boundaries, service contracts, and data ownership

  • Dependency management and avoiding tight coupling

  • Patterns for multi-tenant SaaS backends

Data and Persistence

  • Relational and NoSQL modeling choices

  • Migrations and schema evolution

  • Caching with Redis and read models for performance

  • Consistency decisions: strong consistency vs eventual consistency

Integrations and Messaging

  • Sync integrations: REST, GraphQL, webhooks

  • Async integrations: queues, pub-sub, event streams

  • Reliability patterns: retries, dead-letter queues, idempotency

  • Outbox pattern and event schema management

Observability and Reliability

  • Structured logging, metrics, tracing with OpenTelemetry

  • SLOs, alerts, and error budgets where appropriate

  • Runbooks, incident workflows, and post-incident reviews

  • Resilience patterns: circuit breakers, timeouts, bulkheads

Outcomes You Can Measure

Faster feature delivery because services are modular and easier to change


Stable integrations through versioning and contract-first development


Lower incident rates with observability, retries, and resilience patterns


Better performance using caching, read models, and efficient queries


Stronger security via standardized auth, gateway policies, and audit trails


Easier onboarding for internal teams thanks to consistent docs and specs

What You Get at Delivery!

API specification (OpenAPI or GraphQL schema)

Data contracts and error contract standards

Reference implementation and reusable service template

Test suite (unit, integration, contract tests)

Observability pack (logs, metrics, traces, dashboards, alerts)

Auth and access model (roles, scopes, permissions)

Deployment-ready artifacts (containers, environment configs)

Documentation: service runbooks, operational guide, onboarding notes

Modern Stack, Chosen for Fit

nodejs
python
java

Frequently Asked Questions

No. We choose the smallest architecture that supports your goals. Often that is a modular monolith first, then services where boundaries are proven.

Yes. We can wrap legacy platforms with APIs, add queues, and migrate incrementally to reduce risk.

Yes. Every service ships with an API spec, runbooks, and onboarding notes so teams can maintain and extend it.

We define versioning and deprecation rules early, support backward compatibility, and use contract tests to prevent breaking changes.

Yes. We design for performance with caching, read models, load testing, and autoscaling patterns where relevant.

Build what matters, with Gozade

Let's Talk
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Gozade

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