Cloud
Azure
Origin
Microsoft Azure launched in 2010 as “Windows Azure” and was renamed in 2014. Azure has established itself as a leading cloud, especially in the enterprise and Microsoft ecosystem.
Benefits
- Deep integration with Microsoft products (Entra, Microsoft 365)
- Strong hybrid and enterprise features
- Extensive data and AI services
Drawbacks
- Portal and service landscape can be unclear
- Optimizations require specific know-how
Selected projects
All projectsEnergy Industry
Data Platform for Integrated Energy Data
Supported the further development of a modern data and platform landscape for an energy company. The focus was on new data services, the integration of heterogeneous data sources, and the reliable provision of consistent information for downstream business applications. New business scenarios were jointly evaluated with product owners and business departments and translated into robust data products. The implementation included data integration, data provisioning, and continuous exchange with relevant stakeholders.
Learn moreMedical Technology
Regulation-Sensitive Cloud Operations for AI-Powered MedTech
In a medical technology environment, a scalable and highly available Azure infrastructure was built and operated for an AI-related application. This included automated infrastructure provisioning using Infrastructure as Code, setting up and maintaining CI/CD pipelines, containerization, and optimizing security and performance. Operations were complemented by monitoring, troubleshooting, and collaboration in an agile environment, enabling further development of the application on a reproducible and resilient cloud basis.
Learn moreBuilding Materials Industry
Modernization of an Operational Web Platform
For a company in the building materials industry, an existing legacy system was further developed and gradually replaced by a modern, microservice-based web platform. The solution integrates data from operational sources, analytics, and ERP systems, and supports use cases such as KPI calculation, shift summaries, task management, and operational excellence. Scalable backend and web services, REST APIs, and a testable development approach for reliable further development were implemented.
Learn moreReal Estate Industry
AI-Driven Process Automation in Real Estate Management
Business processes for a real estate company were analyzed and further developed using a low-code and AI-supported automation platform. The solution connects workflows, apps, and evaluations with external systems and APIs. In addition to implementation, the focus was on identifying suitable automation potential, governance and security standards, monitoring, and empowering specialist departments.
Learn moreEnergy Industry
Cloud Foundation and DevOps for Digital Energy Services
In an agile product team in the energy industry, the cloud and DevOps foundation for digital services was built and operated. Services included consulting on cloud standards, subscription management, resource groups and resources, Infrastructure as Code, and the establishment and maintenance of deployment pipelines. Additionally, the rollout of Java and Python services, troubleshooting in production, and the conception of monitoring and error surveillance were supported.
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