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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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Porsche Informatik drives user experience with Red Hat OpenShift

Porsche Informatik deploys software rapidly with Red Hat OpenShift. Red Hat OpenShift allows the company to deploy new software more frequently and ensure availability across its connected car process, mobility as a service process, traditional retail process, apps and more. Red Hat partner Dynatrace ensures the end-to-end visibility of performance.

Benefits:

Improved agility to enable a 90% reduction in time-to-market
Enabled DevOps for more frequent deployments
Enhanced scalability for a great customer experience
Gained end-to-end visibility of performance with Dynatrace

Delivering the best customer experience in the automotive industry

Porsche Informatik is part of Porsche Holdings Salzburg, the largest automotive trading company in Europe with a revenue of roughly 22 billion Euros. With 160 solutions in 32 countries on four continents, millions of users depend on its software every day. Porsche Informatik sees itself as a trendsetter and an innovation driver, with 800 specialists shaping the digitalization of the automotive trade.

Porsche Informatik’s open source strategy for tailor-made applications creates a clear competitive advantage. “Software needs cloud infrastructure to be scalable,” said Immitzer. “And with that scalability, we can ensure availability and a great end-user experience. End-user experience is one of the key success factors in the digital era.”

Moreover, one of the biggest promises that Porsche Informatik made to its customers was to reduce the time-to-market by 90%. “We need to be very fast to assemble a connected car process, a mobility as a service process, or a traditional retail process,” said Immitzer. To achieve this, Porsche Informatik decided to migrate from a monolithic environment towards a modular landscape based on containers and Kubernetes in a hybrid cloud architecture.

Driving forward with Red Hat OpenShift, a leading enterprise Kubernetes platform

Porsche Informatik established a private cloud hosted by datacenter provider eww ITandTEL, utilizing Red Hat OpenShift for a Platform-as-a-Service (PaaS) environment. “We bet on the right horse early in deciding to implement Red Hat OpenShift, predicting that Kubernetes would become the de facto standard for Linux container development,” said Christian Köberl, Software Architect at Porsche Informatik. “Red Hat OpenShift is one of the best enterprise solutions when it comes to authorization, authentication, logging, and metrics, among other things.”

With help from eww ITandTEL and a Red Hat Technical Account Manager (TAM), the organization migrated to Red Hat OpenShift running on-premise in its datacenter in just six weeks. The platform now hosts development processes across thousands of containers on 75 nodes, used regularly by more than 350 developers. It orchestrates the end-customer applications, establishing containers so the cloud can access the surrounding systems of the legacy applications.

Porsche Informatik realized that to maintain its market lead, it also needed a fundamentally different approach to performance monitoring and management. After evaluating the market, it selected Red Hat partner Dynatrace because it offered native support for Red Hat OpenShift while providing complete visibility into every layer of the IT environment.

Technologies

Dynatrace Red Hat OpenShift monitoring Red Hat OpenShift

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