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

We’re excited to announce Wanaku 0.1.1, a significant milestone that showcases how Apache Camel’s powerful integration capabilities can be seamlessly exposed to AI agents through the Model Context Protocol (MCP). This release introduces Service Catalogs and Service Templates — features that leverage Apache Camel as the integration runtime to bridge the gap between AI and enterprise systems. What is Wanaku? Wanaku is an open-source MCP router and capability management platform that acts as a smart intermediary between AI agents and integration capabilities.

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COMMUNITYUSECASESAI

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