APIs That Connect Your Business to Everything It Needs
RESTful, GraphQL and event-driven APIs designed for reliability, security and developer experience.
What does API Development involve?
API development is the design and engineering of the interfaces that let software systems exchange data reliably — RESTful, GraphQL and event-driven APIs that are consistent, secure, documented and able to evolve without breaking the systems that depend on them.
Every modern enterprise runs on APIs — whether you are exposing capabilities to partners, connecting internal systems, or powering digital products consumed by thousands of users. The quality of those APIs determines whether your platform becomes a competitive asset or a maintenance liability. Poorly designed APIs produce brittle integrations, inconsistent error handling, and developer experiences so poor that partners avoid building against them. We design and build APIs that are consistent, well-documented, observable, and built to evolve without breaking consumers.
Our API practice covers the full spectrum: RESTful APIs following OpenAPI 3.1 specifications, GraphQL schemas for client-driven data fetching, and event-driven architectures using message brokers like AWS SQS, SNS, and Kafka for systems that need to communicate asynchronously at scale. We also handle the integration work: connecting your systems to third-party platforms, managing authentication and credential rotation, implementing retry logic and circuit breakers, and building the middleware that makes heterogeneous enterprise systems talk to each other reliably. Every API we deliver ships with comprehensive documentation, an interactive sandbox, and the monitoring instrumentation your team needs to operate it confidently.
All Webbed Labs is the enterprise AI and software development arm of All Webbed Up, a Sydney based agency building autonomous systems for Australian businesses.
Why choose All Webbed Labs for API Development?
OpenAPI-First Design
Every API is designed spec-first using OpenAPI 3.1. The specification is the single source of truth for endpoint contracts, request/response schemas, authentication models and error formats. This enables automatic SDK generation, mock server creation, and interactive documentation from the same artifact.
Security Engineered In
OAuth 2.0 with PKCE, API key rotation policies, JWT validation with short expiry windows, rate limiting per consumer, IP allowlisting for partner integrations, and mTLS for service-to-service communication in zero-trust environments. OWASP API Security Top 10 is the baseline, not the ceiling.
Observable by Default
Every API response includes a correlation ID traceable through distributed systems. Structured JSON logs, request latency histograms, error rate dashboards and alert thresholds are configured before the first consumer connects. You know what your API is doing at every moment.
Versioning Without Breaking Consumers
We implement API versioning strategies (URI versioning or content negotiation) and use additive change policies to evolve APIs without breaking existing consumers. Deprecation notices, sunset headers and migration guides are provided with adequate notice periods — not overnight surprises.
Built for High Concurrency
Node.js and Go-based API layers handle tens of thousands of concurrent connections without thread pool exhaustion. Connection pooling, async I/O, and database query optimisation ensure that API latency remains flat as load increases — not degrading gradually until a 2am incident reveals the ceiling.
Developer Experience That Drives Adoption
APIs consumed by developers need to be a pleasure to work with. We produce comprehensive Stoplight or Redoc documentation, Postman collection exports, code examples in multiple languages, and sandbox environments with realistic test data. Internal developer portals are available for organisations managing multiple API consumers.
Demo Video
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How do Australian businesses use API Development?
What technologies does All Webbed Labs use for API Development?
What does the API Development process look like?
API Design & Contract Definition
We run design workshops to map the capabilities the API needs to expose, the consumers that will use them, and the data models involved. API contracts are written as OpenAPI 3.1 specifications before any code is written — this surfaces design issues early and gives consumers a document to work against in parallel.
Authentication & Security Architecture
We design the authentication and authorisation model appropriate for the consumer type — OAuth 2.0 PKCE for user-context APIs, client credentials for machine-to-machine, API keys with rotation policies for partner integrations. Security requirements are documented in the API spec itself as OpenAPI security schemes.
Core API Development
Implementation of API endpoints against the agreed specification, with contract tests validating that responses always match the OpenAPI schema. Integration work with underlying data stores and upstream systems happens in parallel. We do not move ahead of the agreed spec without a change control process.
Integration & Third-Party Connections
Third-party integrations are built with resilience patterns: exponential backoff retry, circuit breakers (Resilience4j or custom), dead-letter queues for failed async events, and timeouts configured to prevent cascading failures. We test integration failure modes explicitly, not just happy paths.
Load Testing & Performance Baseline
We run load tests using k6 or Gatling against the staging API with realistic traffic shapes — gradual ramp-up, spike tests, and sustained load at peak projections. Performance baselines are documented so regressions in future deployments are detectable against a known good state.
Documentation, Monitoring & Handover
Published interactive documentation via Redoc or Stoplight, Postman collection with environment configs, a monitoring runbook, alert thresholds in your observability stack, and a live handover session with your engineering team. APIs go to production observable and documented.
Who is API Development for?
Is API Development the right solution for you?
When API Development is the right fit
- You need to expose capabilities to partners or external developers and want an API that is a pleasure to integrate against.
- Multiple internal systems must communicate reliably, and point-to-point integrations have become a maintenance liability.
- You operate in a regulated space (CDR/Open Banking, HL7 FHIR, government standards) with specific API technical requirements.
- You need high-concurrency, observable APIs with resilience patterns so an upstream outage does not cascade into your platform.
- You are connecting to legacy systems with poor or no APIs and need a clean, consistent contract in front of them.
When it is not the right fit
- A vendor already provides a well-supported API that meets your needs — integrate with it rather than building your own layer.
- You have a single application talking to a single database with no external consumers; a separate API layer adds needless overhead.
- A one-off data export or import is required — a scheduled file transfer or script is simpler than a maintained API.
- Your integration is low-volume and internal, where a managed integration platform (iPaaS) may be more cost-effective than custom work.
- You have not yet decided what capabilities the API should expose; design discovery should come before engineering.
How much does API Development cost?
Indicative ranges in AUD to help you budget. Every engagement is scoped individually — book a discovery call for a fixed quote tailored to your requirements.
A well-scoped REST or GraphQL API over a single system, with OpenAPI specification, authentication, documentation and monitoring.
Multiple APIs plus third-party integrations with resilience patterns, an event-driven component and a contract-tested delivery process.
A federated gateway or integration hub serving many consumers, with a developer portal, consent and access controls, and regulated-industry compliance.
API Development: a quick glossary
- REST API
- A widely used style of API that exposes data and actions as addressable resources over standard HTTP, making it easy to consume, cache and reason about.
- GraphQL
- A query language for APIs that lets each client request exactly the data it needs in a single call, avoiding the over- and under-fetching common with fixed REST endpoints.
- OpenAPI specification
- A machine-readable contract describing every endpoint, request and response of an API, used to generate documentation, client libraries and mock servers from one source of truth.
- Event-driven architecture
- A pattern where systems communicate asynchronously by publishing and consuming events through a message broker, decoupling them so neither has to wait on the other.
- Circuit breaker
- A resilience mechanism that stops calling a failing dependency for a period, preventing one struggling system from dragging down everything connected to it.
- Idempotency
- Designing an operation so that repeating the same request produces the same result, which is essential for safely retrying calls without duplicating actions like payments.
Common questions about API Development
The choice depends on the primary consumer pattern and data access requirements. REST is the right default for most public-facing and partner-facing APIs: it is widely understood, tooling is mature, and caching at the HTTP layer is straightforward. GraphQL is valuable when you have multiple clients with substantially different data requirements — for example, a mobile app, a web app and a data analytics consumer all consuming the same backend — as it eliminates over-fetching and under-fetching without requiring multiple REST endpoints. Event-driven APIs using Kafka or SNS/SQS are the right choice when systems need to communicate asynchronously without tight coupling — typically for high-volume data pipelines, system integration between legacy applications, or any scenario where a synchronous request-response model would create unacceptable latency.
Legacy enterprise systems — particularly on-premises ERP and mainframe applications — frequently expose data only through database connections, file exports, or screen-scraping interfaces. We build ETL pipelines and middleware adapters that translate legacy data access patterns into well-structured API responses, insulating downstream consumers from the messiness of the source system. For file-based integrations (SFTP, EDI, flat files), we build ingestion pipelines with validation, error quarantine, and processing confirmation. The goal is always to give consuming systems a clean, consistent API contract regardless of what sits behind it.
For financial services APIs, we design against APRA CPS 234 information security requirements and can implement Consumer Data Right (CDR) technical standards as specified by the ACCC and Data Standards Body. For healthcare APIs, we implement the HL7 FHIR standard and consider the Australian Digital Health Agency's integration standards. For government APIs, we follow the Digital Service Standard and the Australian Government API Design Guide. In all cases, our baseline security posture exceeds typical enterprise requirements: all traffic over TLS 1.2+, token expiry policies, request signing for sensitive operations, and comprehensive audit logging.
We implement a formal versioning policy at project start. For most REST APIs, URI versioning (/v1/, /v2/) is the clearest approach for consumers. We follow an additive change policy: new optional fields and endpoints can be added to an existing version, but breaking changes (removing fields, changing data types, altering required parameters) require a new version. Deprecated endpoints serve sunset headers with a removal date, and we provide migration documentation with at least 6 months notice before breaking changes take effect. This gives your API consumers and integration partners predictability they can plan against.
Resilience patterns are a non-negotiable component of our API development. We implement circuit breakers that open when an upstream dependency starts failing, preventing cascading failures from propagating through your system. Async operations are queued in durable message stores (SQS, Kafka) rather than relying on synchronous calls that can time out. Retry logic uses exponential backoff with jitter to avoid thundering herd conditions. We build degraded-mode responses where partial functionality can be served even when non-critical dependencies are unavailable. These patterns are tested explicitly with chaos engineering techniques — simulating upstream failures in staging before launch.
Yes. For organisations managing multiple APIs consumed by internal teams or external partners, a developer portal significantly reduces the friction and support burden associated with API onboarding. We build portals using Backstage (Spotify's open-source developer portal framework) or Stoplight Workspace, depending on your scale and requirements. The portal provides interactive API documentation, self-service API key issuance, usage analytics per consumer, and a changelog for tracking API evolution. For organisations with complex B2B partner integration programs, a developer portal can reduce integration time for new partners from weeks to days.