Backend technologies for dependable APIs and business logic

It depends on your team, your integrations and the type of work. We will usually recommend the option your organisation can maintain comfortably, unless there is a clear technical reason to choose something else.

Yes. We design REST and GraphQL APIs with authentication, versioning, rate limiting and documentation, so mobile apps, partners and internal tools can rely on them.

Yes. We typically put tests around the existing behaviour, then replace or refactor parts step by step, keeping the system running throughout rather than attempting a risky big-bang rewrite.

We validate every input, use the framework's built-in protections, follow the OWASP Top 10, apply least-privilege access to databases and services, and keep dependencies updated. Secrets are kept out of the code and stored in the hosting platform's secret manager.

For most products a well-structured single application is quicker to build, cheaper to run and easier to change. We only split into separate services when there is a clear reason, such as a part of the system with very different scaling or release needs.

We describe APIs with the OpenAPI specification, which produces browsable documentation and can generate client code. Your developers or partners get a clear reference for every endpoint, field and error.

Slow or unreliable work such as sending emails, generating reports or calling third-party services goes onto a queue, so users are not kept waiting. Failed jobs are retried and logged, and scheduled tasks are monitored so a silent failure is noticed.

Yes. Business rules, API endpoints and integrations are covered by automated tests that run on every change, which is what allows us to release frequently without breaking existing features.

Yes. We commonly integrate OAuth 2.0 and OpenID Connect providers such as Microsoft Entra ID, Google Workspace and Okta, and SAML where an enterprise customer requires it.

We design the application to be stateless, cache expensive work and push heavy tasks onto queues, so it can run on more servers when needed. We size it for your realistic traffic and measure before adding infrastructure.