Rewriting critical banking ETL applications is risky because these systems handle business data that must stay accurate, stable, and traceable. In his JEurope 2025 talk, Dzmitry Paddubnik explains how his team rebuilt more than 20 banking ETL applications in Java without losing control of production risk. The main lesson is simple: a rewrite is not just a coding project. It is a testing and validation project. Key takeaways Legacy ETL systems often contain years of hidden business rules.

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COMMUNITYUSECASES

During the last years we’ve worked hard to bring cloud native operations capabilities for your Camel workloads on Kubernetes. Camel K was the first historic initiative and it gave us the possibility to experiment several features that we’ve decided to move off into a brand new project: Camel Monitor Operator (formerly known as Camel Dashboard operator). Whilst Camel K will keep the focus and excel on the building and deploying part of a Camel application on the cloud, the goal of the new project is to focus on the monitoring part only.

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CAMEL KHOWTOSTOOLING

Recent Camel releases introduced several features that work well together for AI-powered integrations: the camel-openai component (4.17), the SimpleFunction interface, chain operator, and structured output with JSON Schema (4.18), and Gmail DataType Transformers (4.19). To show how these pieces fit, I built an email triage agent that classifies Gmail messages using an LLM, moves them to labels, and drafts smart replies. The whole thing runs with Camel JBang. No Maven project, no framework setup.

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AIUSECASESTOOLING