02 / SOFTWARE

Backends, APIs & integrations

Tools engineered around real work

Application services and interfaces between software, business systems and devices. Data contracts, permissions and error handling make each connection verifiable.

Platforms and tools follow your context. Some examples:

C++ / Qt / QML / Python / .NET / REST API / SQL

Software

Backends, APIs & integrations

Connect services, applications and data

  • API contracts

    Endpoints · formats · versionsDefined interfaces

  • Application services

    Logic · rules · operationsModule responsibilities

  • Data & persistence

    Databases · files · structuresData consistency

  • Access & permissions

    Authentication · authorisationSystem and user boundaries

  • Workflow integration

    Applications · devices · business toolsErrors and recovery cases

  • Tests & observability

    Logs · metrics · checksBehaviour diagnostics

The technologies shown are examples.

Engineering support within your team, with shared tools and working methods.

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TECHNICAL SCOPE

Backends, APIs and system integrations

Reliable integration requires clear rules for identifiers, formats, versions and data ownership. Duplication, delay and unavailability scenarios are defined before endpoints or synchronisation are implemented. Application logic stays separate from presentation and external system details.

Activities and verification

  • REST APIs, input validation, authentication and per-operation permissions.
  • Synchronisation, webhooks, queues and handling of timeouts, retries and idempotency where needed.
  • Engineering logs and contract tests with valid, incomplete or unavailable responses.

Initial decisions and integration

I define involved systems, data ownership, access rules and expected behaviour for each operation with the team. I can develop a connector or contribute to existing services using established API, versioning and release conventions.

A verification example

A synchronisation can be tested with a normal update, repeated requests, late responses and remote-system unavailability. Identifiers and deduplication rules should make outcomes reconstructable. Retries must account for the operation to avoid duplicated effects or inconsistent data.

Deliverables and acceptance criteria

Service code, endpoint specifications, request and response examples, configuration and tests. Volumes, limits, security and interface update procedures are agreed.

Where to start

Bring existing API documentation, anonymised sample data, test credentials and expected synchronisation rules.

Can you work with existing APIs or protocols?

I treat them as project constraints, review documentation and test environments, and agree any adaptations or integration limits with the owners of other components.

Dedicated services and further reading

Describe your context ↗

THE NEXT STEP

A system ready
for its next step?

Let’s discuss your project