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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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The Training RabbitMQ Expert - Deploy Scalable HA Clusters 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.
To ensure the quality of the Training RabbitMQ Expert - Deploy Scalable HA Clusters training, Learni provides the following 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.
The assessment of skills acquired during the Training RabbitMQ Expert - Deploy Scalable HA Clusters training is carried out through:
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.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Dive into multi-node cluster configuration, install Erlang/OTP and RabbitMQ, test automatic node discovery through practical exercises, simulate mirrored topologies with high-availability queues, create your first scalable deliverables to handle massive load spikes.
Master queue and exchange mirroring, configure quorum queues for resilience, perform simulated failover exercises with node kills, test recovery after failure on real e-commerce cases, produce deployable diagrams and scripts for production.
Optimize for millions of messages via lazy queues and advanced tuning, implement federation and shovels between remote brokers, experiment with plugins like MQTT and STOMP in hands-on workshops, analyze bottlenecks with exercises on logs and metrics, deliver cloud-ready configs.
Secure with TLS/SSL, fine-grained ACLs, and LDAP, deploy Grafana/Prometheus monitoring on Kubernetes cluster via Helm, debug real incidents with live coding, integrate into Spring Boot/Node.js microservices, complete a full project with report and scalable demo.
Target audience
System architects, DevOps engineers, lead backend developers seeking advanced skills in distributed messaging.
Prerequisites
Mastery of intermediate RabbitMQ (queues, exchanges, bindings), Erlang/OTP, Docker/Kubernetes, asynchronous programming in Java/Python/Go.
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