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
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.

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.
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
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
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
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
Relational and NoSQL modeling choices
Migrations and schema evolution
Caching with Redis and read models for performance
Consistency decisions: strong consistency vs eventual consistency
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
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
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
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
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.

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