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Training RabbitMQ Expert - Master Advanced Topologies and HA

Ref: URY571
10 people max.
$6,300 HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$180/day onsite · +$540 with certification exam
5 days
Remote

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Learning objectives

  • Design advanced RabbitMQ topologies for microservices
  • Optimize performance and scalability with expert tuning
  • Implement clustering and high availability seamlessly
  • Develop custom plugins and extensions
  • Secure exchanges with SSL, ACL, and federation
  • Diagnose and monitor in real production environments
  • Integrate RabbitMQ with Kubernetes and hybrid cloud

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without advanced RabbitMQ expertise, 65% of deployments fail in production, causing average downtimes of 4 hours and losses of 45k€ per incident according to Gartner.

  • Message loss up to 30% during peaks, latencies x10 blocking microservices, scalability limited to 5k msg/s instead of 1M.

  • Poor clustering leads to cascading failures, weak security exposes to costly breaches (average 4M€).

  • Are you risking these pitfalls?

  • Train to achieve zero loss, optimal performance, and immediate ROI.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced RabbitMQ Topologies: exchanges, queues, complex bindings

Dive into modeling massive flows, configure topic and headers exchanges on simulated clusters, complete hands-on exercises with dead-letter queues and alternates, produce deliverable schemas for 10k msg/s, test manual sharding, everything to scale your apps without bottlenecks.

Module 2RabbitMQ Performance: tuning, benchmarking, memory optimization

Analyze bottlenecks with Prometheus, tune prefetch and heartbeats on high-load VMs, benchmark 1M msg/min via Go/Python exercises, optimize GC and paging, generate before/after performance reports, apply lazy queues for 50% RAM savings, master explosive throughput.

Module 3RabbitMQ High Availability: mirroring, clustering, failover

Deploy quorum clusters on 3 Docker nodes, configure mirrored queues and arbitration, simulate network failures for HA tests, implement federation and shovels inter-DC, validate zero-downtime with automation scripts, produce production-ready Ansible playbooks, ensure 99.99% critical uptime.

Module 4RabbitMQ Extensions: plugins, HTTP management, custom exchanges

Compile advanced Erlang plugins like MQTT adapter, extend HTTP API with OAuth auth, code custom exchanges in Elixir for AI routing, test on real e-commerce cases, debug rotating logs, deliver open-source modules, transform RabbitMQ into an irresistible custom broker.

Module 5RabbitMQ Security and Monitoring: SSL, ACL, production alerting

Secure with TLS 1.3 and client certs, define granular ACLs for 100 users, integrate Prometheus/Grafana for live dashboards, simulate attacks and mitigate, alert via PagerDuty on latency >500ms, complete Kubernetes capstone project, leave certified and production-autonomous.

Evaluation method

  • Daily technical quizzes
  • Final project on HA cluster
  • Internal RabbitMQ Expert Certification

Learning method

  • Hands-on workshops 70% of the time
  • Real cases from Fortune 500 companies
  • Production simulations with chaos engineering

Methods, materials and delivery

The Training RabbitMQ Expert - Master Advanced Topologies and HA program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training RabbitMQ Expert - Master Advanced Topologies and HA program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training RabbitMQ Expert - Master Advanced Topologies and HA program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Registration is possible up to 48 business hours before the start of training. All our programs are eligible for corporate training budgets and employer-funded plans.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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