Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training RabbitMQ Expert - Master Distributed Architectures training are: Advanced proficiency in Java/Python/Go, basic RabbitMQ experience, knowledge of AMQP protocols, hands-on with distributed clusters.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training RabbitMQ Expert - Master Distributed Architectures training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Training RabbitMQ Expert - Master Distributed Ar... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Training RabbitMQ Expert - Master Distributed Architectures training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training RabbitMQ Expert - Master Distributed Architectures training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training RabbitMQ Expert - Master Distributed Architectures training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training objectives

Configure advanced exchange and queue topologies

Implement high availability in cluster mode

Optimize performance for extreme load spikes

Secure flows with SSL and advanced ACLs

Integrate RabbitMQ into microservices ecosystems

Deploy federations and shovels between clusters

Develop custom plugins and monitoring

Training program

Module 1Advanced RabbitMQ Topologies: Complex Exchanges and Routing (rabbitmqctl, Admin UI)

Explore topic, headers, and fanout exchanges in depth using rabbitmqctl and the web interface, configure dynamic bindings on real microservices cases, perform conditional routing exercises, produce optimized topology diagrams, discover dead-letter patterns for immediate resilience, and boost your skills for infallible flows.

Module 2High Availability RabbitMQ: Clustering and Mirroring (Erlang, pacemaker)

Install and configure multi-node RabbitMQ clusters with queue mirroring, test failover through failure simulations, use pacemaker for orchestration, practice exercises on synchronous/asynchronous replication, generate resilience reports, master quotas to avoid overloads, and ensure 24/7 operational continuity.

Module 3RabbitMQ Performance Optimization: Tuning and Scaling (Prometheus, lazy queues)

Analyze bottlenecks with Prometheus and rabbitmq_top, tune lazy queues and heartbeats for million-message throughputs, perform benchmarks on varied hardware, apply adaptive prefetch policies, produce live monitoring dashboards, optimize persistent connections, and transform your systems into ultra-responsive machines.

Module 4RabbitMQ Security and Monitoring: SSL, ACL, Federation (OAuth, shovels)

Secure connections with TLS/SSL and OAuth2, define granular ACLs on vhosts, configure shovels and federations between data centers, monitor with custom plugins via Grafana, test simulated attacks, deploy advanced logs, and protect your critical data against any intrusion.

Module 5Advanced RabbitMQ Integrations: Microservices and Plugins (Kubernetes, Spring AMQP)

Integrate RabbitMQ into Kubernetes with Helm operators, develop custom Erlang plugins, code producers/consumers in Spring AMQP and Go, complete a final project on a scalable e-commerce case, deploy in simulated production, exchange feedback with experts, and leave with a concrete portfolio to dominate enterprise messaging.