Data marketplace & AI tools in 85 seconds

When our CMS became the target of a large-scale DDoS attack, it triggered a real-world stress test of our cloud infrastructure. From saturated load balancers and 100% CPU utilization to emergency mitigation measures, this incident challenged our resilience. By rapidly implementing AWS CloudFront, AWS WAF, and a secure edge-based protection model, we successfully stabilized the system and prevented further disruption. A follow-up attack confirmed the effectiveness of the new architecture, demonstrating how proactive security design and strong collaboration ensure service continuity and long-term resilience.

Sovereign connectivity in dataspaces requires automating network access to ensure security, compliance, and operational scale. In the Data Intelligence Hub, we replace manual firewall updates with a declarative, Kubernetes-native model using Custom Resource Definitions (CRDs). Customers define their allowed IP ranges through a self-service portal, which generates an IpAccessPolicy object representing the desired state. A controller then reconciles this state with the underlying infrastructure, automatically updating Kubernetes Ingress configurations and preventing drift. This architecture ensures auditability, validates inputs before enforcement, and keeps network access aligned with the principles of data sovereignty across multi-tenant environments.

Sovereign observability is now essential as organizations operate Kubernetes across fragmented multi-cloud environments. Traditional monitoring approaches fail when logs and metrics cannot leave their originating region due to compliance and data-residency constraints. This architecture solves the challenge by decoupling storage from querying: each cloud environment writes logs and metrics to its own sovereign object storage while a central observer cluster queries them on demand. Leveraging Prometheus, Thanos, Loki, and Promtail, the system provides global visibility, secure mTLS communication, isolated buckets, and a unified Grafana experience — all without violating sovereignty rules.

Visitor Analytics PRO by T-Systems turns anonymized motion data into actionable insights, helping businesses understand visitor flows, dwell times, and demographics with precision down to 150 m². Fully GDPR-compliant and automated, it delivers fast, reliable intelligence to optimize performance, plan strategically, and unlock measurable business success.

Plan:mobil and T-Systems partnered to support VVOWL’s transport planning with mobile network data, enabling cost-effective analysis of regional mobility. The results informed service improvements, including consistent 30-minute intervals on key routes.

The BMW Group is expanding the Catena-X data ecosystem with support from T-Systems, a certified implementation partner. Through global onboarding, T-Systems connects suppliers of all sizes to Catena-X, enabling secure, scalable data exchange. Built on a federated architecture, Catena-X strengthens transparency, sustainability, and collaboration across the automotive supply chain.

Manufacturing is undergoing a digital revolution, yet many transformation initiatives stall due to a fundamental problem: data trapped in silos. The real roadblock isn't AI or lack of tools, but interoperability—the ability of systems, teams, and companies to understand and trust each other's data. This article explores why traditional approaches fail and introduces Manufacturing Data Spaces as the missing foundation. Data Spaces provide a secure, sovereign framework for controlled data sharing across plants and partners—without giving up ownership. From energy efficiency to predictive maintenance and compliance reporting, real-world examples show how manufacturers can unlock value while preserving control. We explore the layers of interoperability, human concerns, key enabling technologies like AAS and OPC UA, and how to get started with pilots that deliver real ROI. For manufacturers, building trust-based data collaboration isn’t just a tech upgrade—it’s a strategic move that defines future competitiveness in an increasingly connected industry.

The cloud-edge continuum is transforming Europe’s data-driven industry. Telekom’s OnEdge and Connect & Integrate solutions enable secure, real-time data processing and seamless integration into interoperable dataspaces. Together, they empower businesses with full data sovereignty, compliance with European standards, and the ability to monetize insights efficiently. As part of the 8ra initiative, these technologies pave the way for AI, Industrial IoT, and Digital Twins, driving Europe’s technological independence.

Jupyter Notebook is now seamlessly integrated into Build & Operate, bringing interactive data collaboration, real-time analysis, and advanced visualization to a secure, governed dataspace. Whether you're a data scientist, analyst, or business user, this powerful feature enables you to explore datasets, generate insights, and share findings effortlessly—all within a trusted ecosystem designed for efficiency, compliance, and innovation.

This article outlines our experience migrating workloads from an on-premises data center to the AWS Cloud, culminating in the decommissioning of our last server in December 2024. The migration focused on our Motion Data product, which leverages geo-information analytics from Deutsche Telekom's mobile network to provide anonymized mass movement insights for industries such as retail, tourism, and public transport. Our transition to AWS was driven by rising colocation costs and the need to modernize our infrastructure, which faced limitations due to outdated technology constraints, high maintenance efforts, and inefficient storage and compute resource management. We selected AWS's Replatforming approach to harness managed services, improve scalability, and replace legacy Hadoop infrastructure with a more flexible Spark-on-Kubernetes and S3-based solution. The migration delivered key benefits, including 35% lower infrastructure costs, access to up-to-date technology stacks, and removal of resource constraints for compute workloads. By leveraging AWS-managed services such as Kubernetes (EKS), EMR, and RDS, we optimized performance, simplified operations, and positioned ourselves for future growth and innovation in cloud-native environments.

The Danish Data Space Forum and Gaia-X Hub launch showcases how businesses can securely share data using advanced dataspaces. T-Systems offers accessible, standardized solutions enabling organizations to focus on unlocking economic benefits rather than managing complex technology, supporting all industries in leveraging dataspaces effectively.

The Global Data Spaces Connect in Vienna highlighted the transition from technical exploration to practical, business-driven applications of dataspaces. With insights from experts like Wolfgang Ebner, Nina Popanton, and Sofie Verbrugge, the event showcased cross-domain innovations, sustainable business models, and real-world applications in fields such as smart cities and healthcare. Leaders emphasized the importance of collaboration, robust business cases, and scalability, underscoring dataspaces' potential to transform industries.