01
Zero over-fetching or under-fetching
Omnichannel API gateways (Mobile + Web + IoT)
Backend
GraphQL & REST Development
We implement federated GraphQL gateways and versioned RESTful APIs to give frontend teams flexible querying capabilities without over-fetching or multiple round-trips.
Engineering context
GraphQL & REST in a maintainable product architecture
Data query language for APIs providing declarative data fetching, schema federation, and optimized payload delivery.
Engineering capabilities
GraphQL & REST capabilities
Why GraphQL & REST can be a useful part of a modern engineering system.
02
Single round-trip for relational nested queries
Microservices federation
03
Strongly-typed contract schema between client & server
SaaS public developer APIs
Where GraphQL & REST fits
Representative use cases
Omnichannel API gateways (Mobile + Web + IoT)
We assess omnichannel api gateways (mobile + web + iot) against product constraints, team capability, security, and operational ownership before implementation.
Microservices federation
We assess microservices federation against product constraints, team capability, security, and operational ownership before implementation.
SaaS public developer APIs
We assess saas public developer apis against product constraints, team capability, security, and operational ownership before implementation.
Industry Applications
Where we deploy GraphQL & REST solutions.
Engineering Services
How we leverage GraphQL & REST in our engineering process.
From the field
GraphQL & REST and architecture insights
Practical notes on software architecture, delivery, performance, and maintainable product engineering.
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GraphQL & REST engineering questions
The right decision depends on the surrounding system, not the technology name alone.
No. We assess team capability, product behavior, ecosystem fit, security, deployment, and long-term ownership before recommending GraphQL & REST.
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Start Building with GraphQL & REST
Discuss where GraphQL & REST fits your product, team, and operational constraints.