GRAPHQL
We help organisations plan, design, develop, integrate and improve GraphQL APIs. We create typed API structures around the data, business rules and digital experiences that websites, applications and internal teams need to access.
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In brief
We provide GraphQL development services from Melbourne. We help organisations plan, design, develop, integrate and improve GraphQL APIs. We create typed API structures around the data, business rules and digital experiences that websites, applications and internal teams need to access.
The technology
GraphQL is a query language and server runtime for APIs.
A GraphQL schema describes the available data and operations, while each client requests only the fields it needs, so a website, a mobile application and a partner integration can share one API without over fetching or bespoke endpoints.
GraphQL is not tied to a particular database, programming language or storage platform. The schema sits in front of whatever systems hold the data, which means it can be introduced without changing how that data is stored.
GraphQL can sit over existing application logic and data sources when several interfaces need access to connected information, resolving product, customer and content data from different systems into one consistent graph.
What we do
A connected set of decisions, shaped around the work your GraphQL stack needs to do.
We model the GraphQL schema around business concepts, relationships and the needs of its consumers. Clear types, fields, descriptions and naming help create an API that is understandable and can evolve without exposing unnecessary implementation detail.
We define query operations for reading information and mutation operations for controlled changes. Subscriptions may be used for relevant live updates where the infrastructure and user experience justify them. They are not required for every GraphQL implementation.
Resolvers connect schema fields with application logic, databases, content platforms and external services. We plan how data should be retrieved, combined and transformed while managing ownership, errors and dependencies across the underlying systems.
A GraphQL API still requires clear identity and access controls. We define authentication at the service boundary and authorisation around the business logic, records and fields each user or system is permitted to access.
Flexible queries can place significant demand on servers and connected data sources if the API is not governed. We consider pagination, depth limits, breadth limits, query complexity, batching, caching and appropriate rate controls according to the consumers and risk profile.
The schema becomes a shared contract between the API and its consumers. We support validation, automated tests, documentation, observability and a controlled approach to adding or deprecating fields so teams can understand the effect of change.
Buyer context
GraphQL has to suit the people, systems and operating conditions around it.
The right GraphQL approach depends on the organisation, the systems involved and the work it needs to support.
GraphQL can make the relationship between an interface and the data it needs more explicit. Its value depends on careful schema design, sensible ownership and controls that protect the systems behind the API.
Takeover and improvement
We can assess an existing GraphQL API, including its schema, resolvers, data sources, access controls, demand controls, errors, monitoring and active consumers. We can help address inefficient queries, duplicated fields, unclear ownership, access issues or difficult schema evolution. Improvements should account for current consumers so existing applications are not disrupted without a deliberate transition.
Talk to us
Thirty minutes on the stack, the integrations and what it would take to build or improve.
Our approach
A large schema shared across several teams or systems may warrant a separately scoped formal Discovery engagement before major structural change.
Clarify the people, goals, existing systems and constraints shaping the work. We review the existing APIs, data sources and the clients that consume them, and who owns each part, so the schema reflects real data and real teams.
Turn the requirements into a practical architecture, integration plan and delivery sequence. Schema design, resolver strategy, authentication, caching, versioning and the systems behind each type are agreed and documented, so the graph has a clear owner.
Test the parts that affect the experience, content and operational workflow before they become expensive to change. A prototype of the most complex query path or integration proves the schema and resolver approach under realistic load.
Develop the agreed work in reviewable stages, keeping decisions visible as the solution takes shape. Schema areas and resolvers ship as reviewable increments with automated tests and schema checks, so clients adopt each part of the graph as it becomes available.
Check the experience, integrations, accessibility, performance and release readiness together. Query performance, authorisation rules, error handling, rate limits and connected system behaviour are tested together, with monitoring in place before clients switch.
Prepare the handover, monitor the launch and prioritise the next improvements. Documentation, schema tooling and monitoring are handed over, and query usage data guides which parts of the graph to extend, optimise or retire.
Questions
GraphQL is a query language for APIs and a server runtime that executes requests through a defined type system.
The schema explains which data and operations are available. A client can then request the fields needed for a particular screen or function.
Not necessarily. GraphQL and REST can coexist within the same digital ecosystem.
GraphQL may be useful when clients need flexible access to connected data. A REST based service may remain simpler for contained resources, external integrations or operations with a stable response structure.
No. GraphQL is an API layer, not a database or storage engine.
Resolvers can retrieve information from databases, existing application services, content platforms and external APIs. The underlying systems remain responsible for their records and business logic.
Yes. A GraphQL schema can present connected information drawn from several systems where the integration is designed carefully.
The implementation must still manage data ownership, latency, errors, access and consistency across those sources.
Start a conversation
Talk to us about the websites, applications and systems that need to exchange information. We can help determine whether GraphQL is appropriate and establish a clear pathway for a new or existing API.
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