Oil & Gas/QA/Software Development/Web Development
Data Automation Platform for Oil & Gas Operations
Mobile and web platform for vehicle service and ownership management
View projectSoftware Integration & API
Client Challenges
Integration Challenges Affecting Daily Operations And Data Reliability
Companies may start looking for system integration services when existing systems create operational gaps, or when a new product, platform, or business process needs to connect with other systems. In both cases, integration becomes part of how data, workflows, and responsibilities are coordinated across the business.
Orders, customer records, and stock levels are re-entered from one platform into another by operations or finance staff. Issues are often found only during reconciliation, creating additional work and making it harder to keep records consistent across systems.
Each marketplace, payment provider, or logistics partner is connected with its own code, credentials, and failure handling. If every integration is built independently, little can be reused when the next partner is added, and the engineering effort required for each new connection remains high.
A provider deprecates an endpoint, changes a rate limit, or updates its authentication requirements, and an existing production flow stops working as expected. Without monitoring and clearly defined ownership, the failure may remain unnoticed until it affects users or an operational process.
The interface may have been built for a single consumer, without a clear versioning policy or consistent behavior across environments. Mobile and web teams then introduce their own workarounds, which can leave the same business logic implemented in several places.
Service Overview
API And System Integration Across Design, Data Flows, And Production Operations
Solbeg combines API engineering, third-party connectivity, data synchronization, and operational support within the same integration scope. The work can focus on publishing a new API, consuming external interfaces, connecting internal systems, or coordinating several of these responsibilities within one engineering engagement.
Design and implementation of REST, GraphQL, and event-driven interfaces for internal applications, partner systems, and external developers. This can include schema design, authentication, versioning rules, and documentation for API consumers.
Connecting your product to external platforms through APIs, webhooks, and file-based exchanges, including sandbox validation where available, rate-limit handling, failure processing, and credential management. These API integration services are often required when a product feature depends on an external platform.
One-way and bidirectional data flows between systems that hold overlapping records, with a defined authoritative source, conflict-resolution rules, and reconciliation procedures. The scope can include both scheduled batch exchanges and event-driven updates.
Design of a shared integration layer where multiple systems exchange data through an API gateway, message broker, or orchestration service instead of maintaining independent point-to-point connections. This becomes relevant as the number of connected systems grows and shared rules need consistent ownership.
Providing modern interfaces to older systems when replacing or extensively modifying the source application is not practical. Depending on the system, legacy system modernization can involve database-level access, file exchange, SOAP interfaces, or wrappers around proprietary protocols while the existing application continues to operate.
Machine-readable specifications, changelogs, consumer environment setup, logging, alerting, and version-management practices for the integration itself. These capabilities within software integration solutions help teams operate and update integrations after the initial implementation is complete.
Problem & Solution
The problem
A significant part of an integration depends on systems your team does not control
Your team understands its own domain model, data, and release process. What may be less clear is how an external system behaves under load, which fields are actually optional, how partial failures are reported, how rate limits are enforced, or what happens when the same request is received more than once. Some of this behavior can only be confirmed during implementation and testing, which makes integration work harder to estimate than functionality contained within one application.
Integration work also competes with the existing product roadmap. A connection may initially be built around the expected path, while retries, idempotency, duplicate handling, reconciliation, and operational monitoring are postponed. Those gaps become significantly more expensive to address once the integration is already carrying production data.
Data ownership creates another layer of complexity. When two systems contain the same customer, order, product, or price, the project needs a clear decision about which system is authoritative and how conflicts should be resolved. These decisions often involve product, operations, finance, and other business stakeholders alongside engineering.
Ownership after release also has to be explicit. An integration can operate for months without intervention and then require immediate action when a provider changes an endpoint, authentication method, or data format. Without a defined operational owner, responsibility becomes unclear precisely when a fast response is required.
Solbeg's approach
Integration contracts, failure handling, and ownership are defined before production rollout
Solbeg starts by understanding both sides of the connection. External documentation, sandboxes, test accounts, and other available validation methods are used to confirm actual interface behavior and identify constraints that affect implementation. The resulting contract becomes the basis for planning and estimating API development and integration services.
Each integration is treated as a defined engineering workstream with explicit failure behavior. Retry policy, timeouts, idempotency, duplicate protection, failure handling, and message replay are addressed where they are relevant to the selected integration model.
Data ownership is documented together with client stakeholders. For shared entities, the project defines which system is authoritative, which fields are synchronized, how conflicts are resolved, and how inconsistencies are detected. Custom software integration is easier to operate when those rules are explicit and understood by both technical and business teams.
Operational readiness is included in the delivery scope. Logging and alerting, interface versioning where applicable, documentation, and runbooks give the responsible team a defined way to detect and respond to integration failures after release.
When this service fits
Business And Technical Scenarios Requiring Dedicated Integration Engineering
Dedicated integration work becomes necessary when connections have to support multiple consumers, transitional system states, auditable data exchange, or business processes that cross application boundaries. Solbeg scopes custom API integration services around the architecture, data ownership, testing, and operational controls required by each case.
The existing system may have been built only for its current web interface and may not expose a stable contract for other clients. Before mobile development can rely on it, the required business capabilities need to be exposed through an authenticated and versioned interface that can continue evolving after the first app release.
After an acquisition, the business may temporarily have two CRMs, finance platforms, warehouse systems, or other applications performing similar roles. Until consolidation is complete, records need to move between the environments under clear rules about ownership and conflict resolution. The expected lifespan of that transitional integration affects how it should be designed.
A partner or enterprise customer needs programmatic access to your product, but existing internal endpoints were not designed for external consumers. A public or partner API requires a stable contract, authentication and authorization, rate limiting where appropriate, versioning, documentation, and a suitable environment for integration testing.
During a phased migration, the old and new systems may operate at the same time and require synchronized data. The integration needs to account for records created or modified on either side, reconciliation, and the possibility that individual migration steps need to be reversed.
An approval, onboarding, or fulfillment process may move across several platforms while employees manually transfer data and trigger the next step. Automating the process requires orchestration logic and process state that may not belong naturally to any one of the existing applications.
The connection is still running, but its behavior, dependencies, or failure handling may not be documented. Solbeg can begin by reverse-engineering the existing implementation, adding observability and test coverage, and documenting current behavior before deciding what needs to be changed or rebuilt.
A regulator, auditor, enterprise customer, or internal control process may require traceability of what data was transferred, when it moved, which system initiated the action, and who had access. Logging, retention, authorization, and auditability then become functional requirements of the integration itself.
Scope of Work
Engineering Responsibilities Across An Integration Engagement
Solbeg defines the integration scope around the systems involved, the direction of data exchange, and the operational responsibilities attached to each connection. An engagement can cover publishing an interface, consuming one, synchronizing data, or combining these tasks within the same delivery model.
Integration architecture
Definition of the connection model for each integration, including direct, gateway-mediated, and event-driven approaches. The scope can include interface contracts, authentication, data exchange patterns, error semantics, and architectural decision records explaining why a particular approach was selected.
Backend engineering
Server-side development across .NET, Node.js, Java, Python, and PHP, including API implementation, data-layer work, service integration, and supporting business logic. On software system integration projects, engineers may need to work across several codebases and technology stacks within the same engagement.
Frontend engineering
Web application development services in React, Angular, and Vue where an integration changes how users interact with external or newly exposed data. This can include API consumption, authentication handling, and the loading, empty, success, and error states required by the interface.
Data mapping and transformation
Field-level mapping between different system models, canonical data formats where appropriate, deduplication and matching rules, and transformation logic applied while information moves between systems. The scope also defines how records that fail validation are handled.
Integration and failure-mode testing
Contract testing against defined specifications, validation with external provider environments where available, and testing of timeouts, partial responses, duplicate deliveries, rate limiting, expired credentials, and other relevant failure scenarios. Regression coverage helps teams validate later changes before they reach production.
Authentication and access control
Implementation of authentication and authorization mechanisms such as OAuth 2.0 flows, API keys, token lifecycle management, scope definitions, and secrets handling across environments. Access rules define which systems, partners, or users are permitted to read or modify specific data.
Environments and release
Configuration of relevant sandbox, staging, and production environments, release procedures for integration changes, and rollback planning for changes that affect active data flows.
Specifications and developer onboarding
Machine-readable API specifications, changelogs, integration guides, and other documentation for the teams consuming an interface. API development services include the information another engineering team needs to understand the contract and build against it without depending on undocumented knowledge from the original implementation team.
Why Solbeg
How Solbeg Connects API, Application, And Integration Engineering
Solbeg treats integration as production engineering that has to remain understandable, observable, and maintainable after release. API work can draw on backend, frontend, QA, data, and infrastructure capabilities within the same engineering organization.
Engineering capabilities across multiple technology stacks
Solbeg teams work across .NET, Java, Python, Node.js, and PHP on the server side and React, Angular, and Vue on the client side. For teams comparing an API integration company, the ability to work across both sides of the connection can reduce handoffs between separate suppliers and keep implementation decisions within one engineering context.
Integration treated as production engineering
Interface contracts, failure handling, observability, testing, and versioning are considered part of the engineering scope instead of being introduced only after launch. This makes provider changes and production failures easier to detect, investigate, and manage.
Work can fit into your existing engineering process
Solbeg teams can work in agreed repositories, ticketing systems, and collaboration tools such as Jira, Linear, GitHub, GitLab, or Notion and follow the relevant code review, branching, and CI processes. Engineering leadership retains visibility over integration work without having to operate a separate delivery process for an external team.
Direct communication with the engineers doing the work
Your technical team can communicate directly with the engineers responsible for the integration without unnecessary account-management layers between them. This is particularly useful when implementation decisions depend on quick clarification between the teams responsible for connected systems.
Integration work can continue beyond the initial connection
Providers release new versions, additional systems come into scope, and product requirements change over time. Systems integration services can therefore continue into maintenance, expansion, and related engineering work when ongoing involvement is part of the agreed engagement.
Comparison
Point-To-Point Integrations Vs. A Shared Integration Layer
Most API integration solutions use direct system-to-system connections, a shared integration layer, or a combination of both. The architecture depends on the number of connected systems, expected growth, shared transformation and failure-handling rules, and who will operate the resulting integration environment.
Engagement Process
Integration Delivery From System Assessment To Production Handover
Solbeg structures integration delivery so architecture, data ownership, external-system constraints, and failure behavior are resolved before broad production rollout. Larger programs can overlap individual activities, but the same technical and operational decisions still need explicit ownership.
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Discovery and system audit
We review the systems on both sides of each connection, the relevant data models, available documentation, existing access, and known constraints of external providers. Your engineers and the stakeholders responsible for the business process participate where their knowledge is needed. The result is an agreed view of the connections in scope and the main technical and operational risks.
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Contract and architecture definition
The connection model, interface contracts, authentication approach, data mapping, failure behavior, and authoritative system for relevant shared entities are defined and reviewed with technical and business stakeholders. These decisions provide the basis for implementation and testing.
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Implementation against test environments
Engineers build the integration incrementally using sandbox, test, or mocked endpoints where appropriate and available. Failure handling is implemented together with the corresponding integration behavior instead of being postponed to a later phase. Completed increments can be reviewed in an agreed environment as work progresses.
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Testing under failure conditions
QA validates the expected contract and relevant failure scenarios, including timeouts, partial responses, duplicate deliveries, rate limits, and expired credentials. The exact scenarios depend on the behavior and risks of the connected systems.
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Production rollout
The integration is introduced according to an agreed rollout plan, with rollback procedures defined where required. Depending on the project, rollout can include limited traffic, selected records, a parallel run, or reconciliation against the previous process before responsibility fully moves to the new integration.
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Monitoring and handover
Logging, alerting, documentation, and runbooks included in the agreed scope are delivered together with the integration. Your team is taken through the normal behavior and expected failure modes of the API integration solution. If ongoing support is part of the engagement, work can continue with provider updates, operational changes, and additional connections.
Completed projects
View all projectsSome of our recent work
Real products our team has designed, developed, and launched together with clients, from idea to release.
Logistics & Transportation/Software Development
Driver Performance and Fleet Management Solution
Telematics platform for fleet, driver, and vehicle management
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Healthcare/Web Development
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Telemedicine platform for online consultations and patient care
View projectFAQ
Key Questions Before Starting An Integration Engagement
Yes. An engagement can start with incomplete or outdated documentation. Where safe test environments are available, actual behavior can be validated against a sandbox, test account, or other agreed environment and documented as part of the working contract. Behavior that cannot be confirmed safely is recorded as a risk instead of being assumed.
Not necessarily. Depending on the capabilities of the existing system, integration may be possible through an existing interface, database-level access, file exchange, SOAP, or a wrapper around a proprietary protocol. Replacement becomes a separate consideration if the current system cannot support the required reliability, performance, security, or data consistency.
Code ownership, repository location, credential ownership, access rules, and handover requirements are defined for the engagement. Where work is performed in client-controlled repositories and accounts, provider credentials and production access can remain under the client’s established security and IT processes.
Versioned contracts, automated tests, monitoring, and documented dependencies make provider changes easier to identify and validate. Announced deprecations can be handled as planned engineering work, while monitoring and alerting help detect unexpected failures before they affect a wider business process.
Yes. At Solbeg, a takeover starts with documenting current behavior, dependencies, interfaces, and operational risks before changes are introduced. Test coverage and observability can then be added where necessary. When evaluating API integration companies, this is an important distinction: existing behavior should be understood before a rebuild is proposed.
Authentication, authorization, encryption in transit, secrets management, retention requirements, and logging rules are defined according to the integration scope and applicable security requirements. Access is limited to the systems and identities that require the data for the agreed process.
Both types of work can be included. Solbeg can consume existing external interfaces or design and publish a new API for internal teams, partners, or customers. Working with a software integration company that covers both API development and integration allows the interface contract and consumer requirements to be addressed within the same engineering scope.
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