
Technical Marketing Manager
Bruno Meseguer
Bruno Meseguer is a Technical Marketing Manager for Red Hat Integration Products. Before becoming a Red Hatter in 2015, he worked in the integration space for over 15 years in various industries as a developer and architect, designing and building large throughput integration platforms, combining various middleware products. As a Red Hatter applying his technical experience, he guides customers in adopting best practices & technologies and helps to raise global awareness about Red Hat integration capabilities.
Bruno Meseguer's contributions
Article
Simplify local prototyping with Camel JBang infrastructure
Bruno Meseguer
Discover how Camel JBang's infra command simplifies local development by launching real back ends like Kafka and Artemis, eliminating complex mock setups.
Blog
Integration Powers AI: Apache Camel at Devoxx UK 2025
Bruno Meseguer
Learn how integration powers AI with Apache Camel at Devoxx UK 2025. Explore
Article
Try Apache Camel: From concept to deployment on OpenShift
Bruno Meseguer
This article will guide you through the process of rapid prototyping using Apache Camel, from the initial concept to the final deployment on OpenShift, all within a fully web-based, low-code interface.
Article
Tutorial: Tool up your LLM with Apache Camel on OpenShift
Bruno Meseguer
This tutorial 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.
Article
Try OpenShift AI and integrate with Apache Camel
Bruno Meseguer
This article explains how to use Red Hat OpenShift AI in the Developer Sandbox for Red Hat OpenShift to create and deploy models.
Article
Build an extendable multichannel messaging platform
Bruno Meseguer
This solution demonstrates an implementation to build a platform that synthesizes conversations across multiple different communication channels and services.
Article
Implement AI-driven edge to core data pipelines
Bruno Meseguer
The Edge to Core Pipeline Pattern automates a continuous cycle for releasing and deploying new AI/ML models using Red Hat build of Apache Camel and more.
Article
Try Camel on Quarkus in the Developer Sandbox for Red Hat OpenShift
Bruno Meseguer
The Camel Quarkus runtime lets you run integration processes with low memory usage, fast startup, and high performance. Learn how you can try it out at no cost.

Simplify local prototyping with Camel JBang infrastructure
Discover how Camel JBang's infra command simplifies local development by launching real back ends like Kafka and Artemis, eliminating complex mock setups.

Integration Powers AI: Apache Camel at Devoxx UK 2025
Learn how integration powers AI with Apache Camel at Devoxx UK 2025. Explore

Try Apache Camel: From concept to deployment on OpenShift
This article will guide you through the process of rapid prototyping using Apache Camel, from the initial concept to the final deployment on OpenShift, all within a fully web-based, low-code interface.

Tutorial: Tool up your LLM with Apache Camel on OpenShift
This tutorial 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.

Try OpenShift AI and integrate with Apache Camel
This article explains how to use Red Hat OpenShift AI in the Developer Sandbox for Red Hat OpenShift to create and deploy models.

Build an extendable multichannel messaging platform
This solution demonstrates an implementation to build a platform that synthesizes conversations across multiple different communication channels and services.

Implement AI-driven edge to core data pipelines
The Edge to Core Pipeline Pattern automates a continuous cycle for releasing and deploying new AI/ML models using Red Hat build of Apache Camel and more.

Try Camel on Quarkus in the Developer Sandbox for Red Hat OpenShift
The Camel Quarkus runtime lets you run integration processes with low memory usage, fast startup, and high performance. Learn how you can try it out at no cost.