What’s New in Kaoto 2.7? We’re excited to announce the release of Kaoto 2.7, bringing significant enhancements to the visual integration design experience for Apache Camel. This release focuses on expanding DataMapper capabilities, improving developer productivity, and delivering a more intuitive canvas experience. Here are the key highlights of this release DataMapper JSON Support One of the most significant additions in Kaoto 2.7 is comprehensive JSON support for the DataMapper.

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RELEASESTOOLING

Introduction In this blog post, we’ll explore how Apache Camel JBang’s Infrastructure Command can help you rapidly prototype end-to-end integration scenarios and adapt to changing requirements. We’ll walk through a realistic development scenario where requirements evolve over time, demonstrating how Camel’s flexibility makes it an ideal choice for proof-of-concept development. Camel JBang Infrastructure: Your Prototyping Toolkit We already know and love Camel JBang (if you don’t, check out Claus Ibsen’s YouTube channel for excellent tutorials).

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HOWTOS

Introduction In the previous blog posts (camel-tensorflow-serving and camel-torchserve), we discussed the recent release of Apache Camel 4.10 LTS, which introduced three new AI model serving components. 1 TorchServe component TensorFlow Serving component KServe component We previously wrote about the TorchServe and TensorFlow Serving components. This post introduces the KServe component, concluding the series. KServe Component KServe is a platform for serving AI models on Kubernetes. KServe defines an API protocol enabling clients to perform health checks, retrieve metadata, and run inference on model servers.

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AI