Welcome to the Q3 edition of Red Hat’s quarterly newsletter all about Apache Camel! This series aims to share all noteworthy Camel goodness over the last quarter so you don’t miss a thing! Be sure to read the previous editions to catch up on all the exciting updates and insights in Q1 and Q2 this year.
New releases of Kaoto
Kaoto, the open source visual editor for Apache Camel, had two releases since our last update. Ricardo Martinez shared all the latest enhancements in two blog posts: Kaoto 2.1 release and Kaoto 2.2 release. Kaoto is backward-compatible and customers developing on the Red Hat build of Apache Camel 4.0 and 4.4 can safely upgrade to the latest versions of Kaoto.
Camel-K migration
Last time we mentioned that Red Hat Camel K is approaching End of Life. To assist in migrating your Camel Quarkus applications previously created by Camel-K, we have now published a Migration guide from Camel K to Camel Extensions for Quarkus.
Red Hat also offers the Camel JBang CLI with a Kubernetes plugin, providing a simple way to run Camel integrations on OpenShift, similar to the experience with Camel K.
Additionally, the Camel and Serverless teams at Red Hat are working together to bring a wide range of Camel-based Kamelet sources and sinks to the Knative ecosystem. See it demonstrated in “Knative IntegrationSource powering Kamelet pre built images demo” and “Apache Camel JBang integration with Knative demo” by Matthias Weßendorf and Christoph Deppisch.
Camel at London Summit Connect
This year’s London Summit Connect showcased a Cool Store and a keynote demo powered by Red Hat AI with numerous Camel components in action. The Cool Store featured the usual Red Hat swag, where visitors could try on T-shirts and interact with a mirror that recognized the logo, displaying product details. Additionally, a shopping app allowed users to scan swag and enter a competition for a chance to win a prize.
For the grand finale, the mirror became part of the closing keynote demo, showcasing an AI solution powered by Camel and Red Hat tools. The audience participated in retraining the AI model by uploading T-shirt images from their phones. Camel facilitated data collection and real-time model updates, leading to a successful live demo where the newly trained AI accurately identified the Summit Connect T-shirt, thrilling the crowd.
Another opportunity to see the demo live is coming up at the Red Hat OpenShift AI roadshow in Bratislava on October 24th. Be sure to register here.
Articles
Dive into the latest developments within Apache Camel 4 through our curated selection of articles.
Tutorial: Tool up your LLM with Apache Camel on OpenShift
Curious how LLMs could use integration routes to access applications and APIs when needed? In this tutorial, Bruno Meseguer gives you a unique chance to learn, hands-on, some of the basics of large language models (LLMs) in the Developer Sandbox for Red Hat OpenShift. The Developer Sandbox provides a free-to-use and fully-ready development environment, inviting everyone to quickly jump in and play with LLMs, Apache Camel, and the Kaoto visual editor with no prerequisites or set up hassle.
Unstructured data extraction with Apache Camel Quarkus and LangChain4j
Alexandre Gallice shows an example of transforming raw unstructured text into structured Java objects with Camel Quarkus and Quarkus LangChain4j. He also posted two community blogs with further technical details and some notes about his earlier experiments around this topic.
Apache Camel AI: Leverage power of AI with DJL component
In this blog post Tadayoshi Sato explores the possibilities of intelligent routing using traditional neural network model inference with Camel and Deep Java Library.
Modernizing Camel's test support code: what you need to know
This blog post by Otavio Piske covers the latest changes to Camel’s test support and how this may affect your own tests.
Easier migration with Apache Camel
Jiri Ondrusek introduces Camel Upgrade Recipes, a tool that simplifies Apache Camel 4.x version upgrades by automating repetitive tasks and improving migration efficiency.
Unlocking Efficient Data Processing with the Chunking DSL
Chunking is a crucial aspect of data processing that can significantly impact retrieval quality, query latency, costs, and even the accuracy of Large Language Model (LLM) outputs. In this blog post, Otavio Piske explains what chunking is, its importance, and how the new Chunking DSL in Apache Camel 4.8.0 improves data processing workflows.
Hear all about the latest and greatest from the Apache Camel 4.8 community release in a blog post by Claus Ibsen, Otavio Piske, Andrea Cosentino and Pasquale Congiusti.
Hear all about the latest and greatest from the Apache Camel 4.7 community release in a blog post by Claus Ibsen, Gregor Zurowski, Otavio Piske, and Tadayoshi Sato.
How to Camel Debug a Camel Spring Boot route deployed on OpenShift from VS Code
In this blog post, Aurelien Pupier walks you through the steps needed to debug a Camel Spring Boot route deployed on OpenShift from VS Code.
Kaoto 2.1 release and Kaoto 2.2 release
Ricardo Martinez covers all the latest and greatest features in the Kaoto 2.1 and 2.2 releases in these two community blog posts.
Demos and Presentations
See Apache Camel 4 in action in the following demos and presentations:
- Apache Camel integration with ActiveMQ to FTP by Claus Ibsen
- Tutorial: Tool Up your LLM with Apache Camel on OpenShift by Bruno Meseguer
- Demo of Camel JBang Kubernetes plugin by Christoph Deppisch
- Apache Camel JBang integration with Knative by Christoph Deppisch
- Knative IntegrationSource powering Kamelet pre-built images by Matthias Weßendorf - demo based on kn-connectors from Christoph Deppisch
- From scratch to Camel Debug a Camel Quarkus route deployed On OpenShift from VS Code by Aurelien Pupier
- From scratch to Camel debug a Camel Spring Boot route deployed on OpenShift from VS Code by Aurelien Pupier
- Introduction to Camel TorchServe component by Tadayoshi Sato
Upcoming
You may meet us at the upcoming conferences:
October
- 2nd - Red Hat Developer Experience for Financial Services Roundtable in New York
- “Cloud-native integration with Developer Hub” by Ivo Bek
- 2-4th Devoxx Morocco in Marrakech
- “Quarkus meets AI : Build your own LLM-powered application” by Zineb Bendhiba and Dimitris Andreadis
- 7-11th Devoxx Belgium
- 16th Basel One in Basel
- 21-24th IBM TechXchange in Vegas
- 24th Red Hat OpenShift AI roadshow in Bratislava (Slovakia)
- “Na AI riešenie model nestači” by Anton Giertli
- 28th AI_dev, Open Source GenAI & ML Summit in Tokyo
November
- Red Hat build of Apache Camel 4.8 release
- 7th SFSCon, Bolzano, Italy
- 12-15th KubeCon NA & BackstageCon in Salt Lake City
December
- 4-5th Open Source Experience in Paris
- “Quarkus meets AI : Build your own LLM-powered application” by Zineb Bendhiba
