Our services
Mule ESB deployment
- Execution of both global and local Mule ESB setups (CE / EE)
- Integration with leading SaaS providers (Salesforce, Workday, Anaplan) and enterprise platforms (SAP, Oracle, Temenos)
- Employment of best practices around HA, fault tolerance and security
- Definition of implementation standards and integration patterns
- CI / CD pipeline provisioning and Mule containerization
- Mule 3 to Mule 4 migrations
Cloud migration
- Delivery of “best-of-both-worlds” integration setup: Mule ESB on AWS
- Full support from our certified AWS solutions architecture team
- “Push button” ESB environment provisioning through our very own CloudFormation template based on Mule ESB CE
- Mule platform auto-scaling to meet your business needs (no more guessing about capacity)
- Support in selecting most cost-effective deployment model: on-demand, reserved, spot
Microservice adoption
- Comprehensive roadmaps for architecture transformation towards microservices
- Introduction of PACE-layered designs in the form of experience, process and system APIs
- Splitting monoliths through “strangling” legacy apps with Mule ESB
- Implementation of microservices directly within the Anypoint Platform
Consultancy
- Configuration of integration architecture repository (Sparx)
- Canonical data model (CMD) design based on proven industry standards
- Business analysis of data flows (ground-to-ground, cloud-to-cloud, cloud-to-ground)
- Preparation of mappings across disparate company data models
- Consultancy around EAI governance processes
Our team
Our tight-knit 30 person team is made up of experienced Mule ESB enthusiasts with a T-shaped skill set. We’re looking forward to helping you prepare for the integration challenges of tomorrow.
- 3 Senior Architects
- 5 Senior Developers
- Over 20 developers
We Build Long-Term Partnerships With Our Clients
We’re proudly working for:
SUCCESS STORIES
Our work
Discover how we helped companies around the globe expand their capabilities, impress their clients, and grow their business.
Banking and Financial Services
Lending solution for consumers for Raiffeisen Bank Croatia
Nowadays many banks worldwide introduce new solutions for the sake of customer experience. Digital transformation of the banking sector is prevalent and resulted from the extremely demanding pace of keeping up with the most sophisticated applications tailored to specific business needs. Lending solutions do take a great part in this race and up-to-date applications enable customers to go through a lending process and get the desired amount of money just in a few minutes. To drive my point home let’s see how it has been done in Croatia in more detail.
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Banking and Financial Services
Raiffeisen Bank Hrvatska is transforming its data architecture towards a Data-Driven approach
Reduced impact of changes applied in source systems on data consumers
The auto-generated ETL code limits human error factor in the data flows
Aggregating several data sources creates a single source of truth for the data consumers
Internal Agile teams build their solutions on top of the prepared data architecture
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The auto-generated ETL code limits human error factor in the data flows
Aggregating several data sources creates a single source of truth for the data consumers
Internal Agile teams build their solutions on top of the prepared data architecture
Banking and Financial Services
Implementing smart API management at ING Bank Śląski with Agama API
Pursuant to the Payment Service Directive 2 (PSD2), banks have to provide a standardized API to enable third parties (TPP) to verify account information (AIS), available funds (CAF), and payment orders (PIS).
To address the above assumptions, a solution has been implemented at ING Bank Śląski using the API Management product from BlueSoft, Agama API.
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To address the above assumptions, a solution has been implemented at ING Bank Śląski using the API Management product from BlueSoft, Agama API.
Testing multi-cloud capabilities for a finance international company
The project’s goal was verifying the capabilities of Google Anthos for centralized management of Kubernetes clusters; application services ran in containers using the Kubernetes platform in a multi-cloud environment.
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