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    <title>Event-Streaming on ayedo</title>
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      <title>Data Engineering</title>
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      <pubDate>Thu, 19 Feb 2026 10:22:28 +0000</pubDate>
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      <description>&lt;p&gt;&lt;img src=&#34;https://ayedo.de/use-cases/data-engineering/data-engineering.png&#34; alt=&#34;&#34;&gt;&lt;/p&gt;&#xA;&lt;h2 id=&#34;from-ticket-infrastructure-to-on-demand-ai-how-ayedo-built-a-kubernetes-based-data-engineering-platform-for-an-industrial-corporation&#34;&gt;From Ticket Infrastructure to On-Demand AI: How ayedo Built a &lt;a href=&#34;https://ayedo.de/en/kubernetes/&#34;&gt;Kubernetes&lt;/a&gt;-Based Data Engineering Platform for an Industrial Corporation&lt;/h2&gt;&#xA;&lt;p&gt;Data-driven innovation rarely fails due to a lack of ideas. It fails due to infrastructure.&lt;/p&gt;&#xA;&lt;p&gt;Many industrial companies invest in Data Science, AI models, and Advanced Analytics—only to find that their platform doesn&amp;rsquo;t scale. GPU resources are scarce, development environments are rigid, and ETL processes are hard to scale. Every new use case becomes an infrastructure project.&lt;/p&gt;</description>
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