Consulting & Delegation
Technological Transformation with Experienced Experts. Prepare your company for sustainable transformation—with in-depth cloud and DevOps expertise. Gain a clear understanding of the strengths and weaknesses of your existing architecture and pinpoint specific areas for improvement. With a holistic approach—for on-premises, hybrid, and cloud environments—we help companies implement changes in a structured manner, optimize processes, and make well-informed technology decisions.
How can we assist you?
DevOps Projects and Automation
We support you through every phase of your DevOps initiatives—from strategic planning to implementation and ongoing refinement. Together, we lay the foundation for efficient processes, greater automation, and stable operations.
Cloud Migration
With in-depth expertise in Microsoft Azure, AWS, and Google Cloud, as well as robust cloud infrastructures, we facilitate the migration of existing applications and systems between on-premises and cloud environments. Security, scalability, and a seamless transition are just as much a focus as the long-term optimization of operations and infrastructure.
CI/CD Automation
We help companies build, operate, and optimize automated CI/CD pipelines for applications and infrastructure—including Infrastructure as Code (e.g., with Terraform). The goal is faster deployments, stable processes, and scalable infrastructure management.
Modernization
We support the modernization of existing systems through the targeted use of PaaS and SaaS services. This results in scalable, secure, and future-proof cloud-native architectures that increase flexibility, reduce maintenance efforts, and accelerate innovation.
FinOps and GreenOps
Using our structured approach, we analyze and optimize cloud infrastructures in terms of cost structure and sustainability. This enables IT systems to be operated as cost-effectively and environmentally friendly as possible.
AI Implementation
We address the challenges surrounding AI with in-depth infrastructure expertise, up-to-date know-how, and innovative approaches. This enables us to implement a wide range of AI use cases securely, efficiently, and in compliance with regulations—regarding data, training, and inference.
The transformation focuses on key technical and architectural guiding principles that ensure a stable, transparent, and sustainably successful implementation.
- well-founded and established methods and processes
- Technical feasibility and engineering quality
- Clear architectural and operational principles
- Controlled and traceable transitions
- Sustainable and stable operation in the target state