Cloud & Software Engineering
Systems integration & APIs
Connecting ERP, CRM, data and SaaS platforms through well-designed APIs and event-driven integration.
Vue d’ensemble
Most organizations run on dozens or hundreds of systems that need to share data and trigger each other's processes. When integration is ad hoc, the result is brittle point-to-point connections, manual re-keying and data that never quite matches. We design integration architectures that are reliable, secure and easy to extend.
We start by mapping the systems, data flows and business events that matter, then choose the right pattern for each: synchronous APIs, asynchronous messaging, event streaming, file-based exchange or integration platform workflows. APIs are designed contract-first, documented and versioned, with consistent security, error handling and monitoring.
Our engineers integrate ERP, CRM, HR, finance and industry platforms such as SAP, Salesforce, Microsoft Dynamics, ServiceNow and Workday, as well as custom applications and data platforms. We put API management and observability in place so you can see what is flowing, spot failures quickly and onboard new systems without starting from scratch.
Ce que vous obtenez
- 01Integration landscape map and target architecture
- 02API designs and OpenAPI specifications
- 03Implemented integrations and event flows
- 04API gateway, security and monitoring configuration
- 05Integration standards and reusable patterns
Technologies que nous maîtrisons
- MuleSoft
- Azure Integration Services
- Boomi
- Apache Kafka
- Amazon EventBridge
- Kong
- OpenAPI
Nous sommes indépendants des éditeurs : les outils sont choisis en fonction de vos besoins et de vos investissements existants.
Les questions que l’on nous pose souvent
Should we use an integration platform or build integrations in code?
Both have a place. Integration platforms speed up common SaaS connections and give operations teams visibility, while coded services suit complex logic and high volumes. We recommend a mix based on your landscape, skills and licensing.
How do you handle integration failures?
Integrations are designed with retries, dead-letter queues, idempotency and alerting so failures are caught and recoverable. Monitoring dashboards show message flows and errors end to end.
Analyses
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