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Belgium 20-10-2026 Squad Only Virtual English

Deciding What Runs Where: Cloud, Edge, On-Prem, or Hybrid; How to place workloads based on performance, cost, sovereignty, resilience, and AI requirements.

Cloud decisions are becoming more selective. The challenge is deciding where each workload should run based on cost, performance, control, resilience, sovereignty, and business need. Three pressure points usually drive the decision. - Cost visibility becomes harder when usage grows across cloud services, data platforms, and AI workloads. - Performance and latency matter more when systems need fast access to data or support operational processes. - Sovereignty and resilience become critical when data location, continuity, vendor dependency, and exit options enter the discussion. The working question is simple: how do we place workloads where they create the most value while keeping the hybrid landscape manageable? If these trade-offs are on your agenda, let’s compare how others are handling similar choices.

Belgium 10-11-2026 Squad Only Virtual English

Choosing the Right Data Platform Without Creating New Silos; How to balance speed, flexibility, semantics, governance, and long-term maintainability.

Data platforms are meant to simplify access and support better use of data. The challenge is choosing and governing the platform landscape in a way that creates consistency, reuse, and long-term value. Three pressure points usually appear. - Platform choice becomes difficult when teams have different needs for speed, flexibility, cost, and control. - Business meaning needs protection: customer, revenue, product, risk, and FTE need shared definitions across tools. - Ownership and governance need to be clear, so platforms grow with accountability and discipline. The working question is simple: how do we give teams the data capabilities they need while keeping the platform landscape understandable, governed, and reusable? If these questions are familiar, let’s compare approaches with others facing the same data landscape.

Belgium 13-11-2026 Squad Only Physical English

Building the Business Case for New IT Capabilities; How to justify investment when value is strategic, shared, or only visible over time.

Many IT capabilities are essential and difficult to fund through a simple project ROI. The challenge is showing why architecture, governance, resilience, cybersecurity maturity, data foundations, and AI readiness deserve investment before the gap becomes expensive. Three pressure points make the case harder. - Shared value means the benefit often sits across several teams, while the budget sits in one place. - Timing creates friction because the cost is immediate while the value appears over time. - Risk translation is needed so business and finance leaders understand the consequence of delaying the investment. The working question is simple: how do we turn foundational IT capabilities into credible investment cases that link cost, risk, business value, and future flexibility? If you are building these cases internally, let’s compare how others are positioning value, risk, and timing.

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Audi builds developer environment with Red Hat OpenShift

Audi AG, part of the Volkswagen (VW) Group, needed to create a stable, scalable environment for innovative development across cloud platforms. Audi decided to use Red Hat OpenShift, an enterprise Kubernetes platform, as the foundation of Kubika-O, its new security-focused runtime environment.

Benefits:

Reduced project time to market by up to six months
Created consistent, managed multi-tenant platform across cloud vendors
Enabling the benefits of cloud-native services and the benefits of DevSecOps across silos

Supporting innovation in an environment of constant change

Audi AG, part of the Volkswagen (VG) Group, is a manufacturer of high-quality automobiles. The company delivered more than 1.6 million cars to 100 countries worldwide in 2020.

To keep pace with evolving business demand and fulfill its mission of leading through technology, the VW Group tasked Audi’s IT team with creating a secure, stable, central environment for innovative development at scale across the group’s many brands. As part of this project, Audi IT sought to reduce risks and remove dependencies with a flexible, modular architecture that could support iterative work.

“The days of ‘plan, build, run’ are over,” said Sebastian Kister, Product Team LeadKubernetes Competence Center, Audi AG. “You can't expect a system to run as-is for ten years anymore. To survive in an environment of constant change, we needed a multi-tenant system with the ability to make small adjustments and updates whenever necessary.”

Adopting Kubernetes with a fully managed platform

Audi decided to work with Red Hat to create a new as-a-Service development environment, called Kubika-O, based on enterprise open source technology. The company chose Red Hat software because it met their strategic goals to take advantage of open source flexibility and scalability while avoiding vendor lock-in.

The software foundation of Kubika-O is Red Hat OpenShift, an enterprise Kubernetes platform for building, automating, scaling, and managing container-based applications. To integrate with its cloud provider, Audi uses Red Hat OpenShift Dedicated on AWS, a managed and supported solution offered natively on Amazon Web Services (AWS) for easier management and billing.

Delivering applications faster with stable, cross-cloud foundation

Reduced time to market

Previously, projects became backlogged due to time-consuming provisioning processes that could require lead times as long as six months. With automation through Red Hat OpenShift, Audi IT can quickly provide tailored Kubernetes clusters and add-ons for each Kubika-O project. As a result, experienced developers and those new to Kubernetes can work more efficiently to create, deliver, and migrate innovative solutions across on-premise and cloud environments.

Created multicloud foundation for innovative new services

Kubika-O supplies Audi’s platforms, applications, and projects with a consistent foundation. This multitenant Kubernetes environment supports several key operational applications, including Audi Open Source Diagnostics, Group Measurement Data Management, and its many internal development and management applications to drive the digital transformation of Audi Group. “Red Hat OpenShift helped us create a secure runtime for our projects and containers with low dependencies,” said Kister.

Improved responsiveness to meet demand

Audi’s teams can now use the modular, responsive container infrastructure and robust automation technology included in Red Hat OpenShift to scale applications using shared resources—without relying on physical infrastructure.

Technologies

Red Hat OpenShift

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