Analytics

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The utilization of software to extract insights or significance from data, which can lead to the creation of reports, status indications, or automated actions based on the received information. Analytics involves the exploration and transmission of meaningful patterns found in data. It encompasses two aspects: utilizing descriptive and predictive models to extract valuable knowledge from data (data analysis), and utilizing this understanding to suggest actions or provide guidance for decision-making (communication). Therefore, analytics focuses not only on individual analyses or steps within the analysis process, but on the entire methodology as a whole.

https://www.microsoft.com/en-us/research/group/software-analytics/ external-link

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Sovereign connectivity: Automating access in dataspaces

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.

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Mohamed Radwan

Jan 15, 2026

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Monitoring dataspaces in multi-cloud Kubernetes: Sovereign observability at scale

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.

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Mohamed Radwan

Jan 07, 2026

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From supplier onboarding to global scale: Advancing trusted dataspaces in Asia

In December 2025, T-Systems advanced Catena-X adoption in Asia through two key events: the Catena-X Supplier Onboarding Day in Tokyo and the Global Data Spaces Roundtable in Beijing. From practical supplier onboarding to large-scale automotive pilots in China, discussions focused on regulatory pressure, data sovereignty, and secure cross-company data exchange. Together with partners such as Siemens, BMW Group, BASF, and Flex, T-Systems demonstrated how trusted dataspaces enable scalable, compliant collaboration across global automotive value chains.

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Sven Löffler

Dec 23, 2025