Data Infrastructure: Consulting, Implementation & Operations

We take care of the design, setup, and maintenance of development environments and machine learning platforms, enabling teams to work efficiently and securely. This includes collaborative notebook environments such as Posit Workbench or JupyterHub, as well as reproducible, container-based setups. We also implement Kubernetes-based ML platforms and automated MLOps pipelines. In this way, we provide a scalable and robust foundation for modern data science and AI workflows.

Modern data work requires flexible, high-performance, and seamlessly integrated development environments. That’s why we support leading technologies that make data science teams productive while meeting the highest standards for security and scalability. Whether collaborative workbenches, interactive notebooks, or efficient IDEs — we create an environment that fits your workflows perfectly. An example of supported technologies:

• Posit Workbench
• Jupyter
• VS Code
• Positron

Modern analytics and AI applications require reliable, scalable, and secure deployment pipelines. That’s why we support powerful platforms for reporting, dashboards, and interactive applications — complemented by flexible deployment options tailored precisely to your requirements. Whether standard solutions or custom architectures, we bring your data products to where they create value. The following technologies form the foundation of our deployments:

• Posit Connect
• Shiny Proxy
• Shiny Server

We also offer custom solutions based on:

• Docker
• Kubernetes
• Azure WebApps

A powerful data and development infrastructure requires secure and reliable package management and version control. That’s why we rely on proven technologies that ensure reproducibility, compliance, and efficient collaboration. Whether for data science, software development, or MLOps, we create stable foundations for a professional end-to-end workflow. We provide comprehensive support using the following example repository solutions:

• JFrog Artifactory
• Anaconda
• Posit Package Manager
• Sonatype Nexus Repository

Managing user permissions and software installations is critical for a secure, well-organized, and efficiently scalable data environment. That’s why we rely on modern authentication and authorization technologies that support both demanding compliance requirements and flexible team structures. From classic directory services to cloud identity platforms, we integrate the solutions that best fit your IT architecture. For example:

• SAML / OIDC (e.g., Keycloak, Azure Entra ID …)
• PAM
• LDAP / Active Directory (Kerberos)

For automation, orchestration, and development in modern data and cloud environments, we rely on proven programming languages and tools. They enable efficient infrastructure management, repeatable deployments, and flexible scripting for custom workflows. Whether infrastructure as code or data processing, we use the language that best supports your projects. Supported programming languages and tools:

• Terraform or OpenTofu
• Ansible
• Scripts (Shell, Python, R)

Continuous integration, delivery, and automated workflows are essential for efficient development and operations processes. We implement CI/CD, DevOps, and MLOps practices to ensure your applications reach production faster, more stably, and more reliably. This shortens development cycles and enables rapid delivery of innovative solutions. Supported technologies:

• GitLab CI
• GitHub Actions
• Azure DevOps
• Jenkins

For modern, scalable, and reproducible application delivery, we rely on containerization, orchestration, and GitOps principles. This allows deployments to be automated, changes to be tracked, and environments to be reproduced consistently. Whether cloud-native Kubernetes clusters or container-based workflows, we create the foundation for efficient, stable, and flexible deployments.

Examples of supported technologies:

• GitOps (Argo CD, Flux CD, …)
• Kubernetes (AWS EKS, Azure AKS)
• Podman, Docker

Supported database technologies:

• Postgres
• Exasol
• AWS RDS

Supported data tools and storage technologies:

• Cloudera CDP
• AWS S3

As part of proactive monitoring, we analyze log files in addition to server and software monitoring. Using a transparent ticketing system, your incidents are tracked and resolved by us as quickly as possible.

For stable, secure, and high-performance data and development environments, we rely on Linux-based operating systems. They form the foundation for reliable servers, containers, and applications in production environments.

Supported technologies (Linux distributions):

• Red Hat bzw. Rocky Linux und AlmaLinux
• Ubuntu
• Debian
• NixOS

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