Backend services
Backend code carries the application logic that a product depends on: data access, workflows, permissions, background processes and communication with external services.
We build backend services, APIs, integrations and application foundations that connect your web product with the workflows and systems your business depends on.
Modern web products depend on systems beneath the interface. We engineer the logic, connections and data flows that make those products useful in practice.
Backend code carries the application logic that a product depends on: data access, workflows, permissions, background processes and communication with external services.
We connect frontend applications with internal systems, third-party services and existing business software through practical APIs, webhooks and data synchronization where the systems support it.
Account access, authentication, authorization, roles, permissions and session handling are designed around what the product needs its users to do.
Many products are structured around business data, states, rules and actions. We model the system around how the business actually operates rather than treating the database as an isolated technical layer.
A customer portal, for example, may need to authenticate a user, retrieve account data, submit a request, update another system, trigger a background workflow and return the result to the interface.
Explore our web development workThis is a general example of how a product’s pieces can work together. The actual boundaries depend on the product and its existing systems.
We can build new product functionality around existing systems when that is the practical path. The approach depends on available APIs, data ownership, authentication, technical constraints and expected workflows.
Use the interfaces already exposed by the systems the product depends on.
Understand data ownership, access patterns and the constraints of current systems.
Connect product actions to the business workflows that follow them.
Work with the account and identity flows available to the product.
Pass the right product events and context into the systems used to understand behaviour.
Add external services where their APIs, terms and reliability fit the required workflow.
Good architecture makes the next product decision clearer. We focus on boundaries, interfaces and the level of complexity the product actually needs.
Keep responsibilities between frontend, backend, data and integrations understandable.
Use predictable API contracts and data structures so different parts of the product can evolve safely.
Choose the architecture for the actual product and avoid unnecessary infrastructure and complexity.
Make room for new features, integrations and workflows without repeatedly rebuilding the product.
Before and around launch, engineering decisions should account for error handling, logging, monitoring readiness, environment configuration, database migrations, deployment workflows, backups where relevant and graceful handling of external service failures.
When the product is live, Leanda can continue with the deployment, infrastructure and ongoing technical work covered by Ongoing Operations on the homepage.
A mature product usually contains decisions worth keeping. We first understand the current architecture, frontend and backend, APIs, databases, deployment setup, known technical problems and upcoming requirements before deciding what needs to change.
We keep the engineering scope reviewable as the product moves from business requirements to connected, operating software.
Understand business workflows, existing systems, users and technical constraints.
Map data flows, system boundaries, APIs and implementation requirements.
Implement backend services, APIs and integrations in reviewable stages.
Deploy, monitor and continue improving the system as the product evolves.
Product engineering is useful when the interface is only one part of the work that needs to happen.
Product Engineering often sits between what users interact with and the systems the business already relies on. Depending on the project, Leanda can work across the product lifecycle rather than handing frontend, backend and deployment between unrelated teams.
Multilingual interfaces, infrastructure, integrations and search visibility can all shape an international product. We also help Chinese businesses design and build digital products for international customers.
Product engineering covers the technical systems behind a digital product, including backend services, APIs, integrations, data flows and application architecture.
Web development focuses primarily on the interfaces and web applications users interact with. Product engineering covers the backend systems, business logic, APIs and integrations that support those experiences. The terms overlap in practice, so we use them to describe the part of the product each engagement needs.
Yes, depending on its architecture and available interfaces. The first step is understanding the existing system before deciding whether to extend, integrate or change it.
Yes. Leanda can build backend services and APIs used by web or other application clients where appropriate.
Yes, where suitable APIs or technical integration methods are available. The exact approach depends on the systems involved.
Yes. Product engineering may include authentication, authorization, account systems and application permissions when required by the product.
Yes. Leanda can remain involved with deployment, maintenance, infrastructure and ongoing engineering after release.
Tell us what the product needs to do, what systems already exist and where the current technical constraints are. We can start by defining the architecture and engineering scope.