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Training BullMQ - Orchestrating Scalable Asynchronous Tasks

Ref: DBU958
10 people max.
7000€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master BullMQ for managing professional scalable queues
  • Develop high-performance job processors for enterprise environments
  • Implement advanced retry and prioritization patterns with certification
  • Design BullMQ architectures with Redis Cluster for high availability
  • Optimize BullMQ monitoring and metrics in production environments
  • Deploy BullMQ workflows integrated with microservices
  • Acquire certifying skills in expert asynchronous management

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 this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1BullMQ: Advanced Queue and Processor Architecture (Redis, Node.js, Complex Jobs)

Dive into BullMQ's expert architecture with Redis as the backend, configure multiple queues for enterprise scenarios, develop custom processors handling heavy jobs like bulk email sending or image processing, test asynchronous flows on real cases with automatic retry, build your first scalable and optimized queue processor, practical exercises with code review by the trainer to validate professional skills.

Module 2BullMQ: Retry Patterns, Prioritization, and Delays (Backoff Strategies, Concurrency)

Explore advanced BullMQ patterns for exponential retry and intelligent backoff, implement prioritization for critical jobs in high-load environments, manage scheduled delays for recurring tasks like analytics reports, simulate concurrency scenarios with multiple Node.js workers, develop a prioritized jobs system connected to a REST API, analyze logs to optimize performance, deliverable: production-ready BullMQ module with unit tests.

Module 3BullMQ: Redis Cluster Scalability and Distributed Workers (High Availability)

Configure BullMQ on Redis Cluster for infinite horizontal scalability, deploy distributed workers on Kubernetes or Docker Swarm, load balance across Node.js instances to process millions of jobs per day, integrate advanced rate limiters against overloads, test resilience with Redis failover simulations, build a complete BullMQ cluster on the capstone project, measure throughput gains for critical enterprise applications.

Module 4BullMQ: Monitoring, Metrics, and Integrations (Prometheus, Grafana, Events)

Integrate BullMQ with Prometheus and Grafana for real-time monitoring dashboards, capture advanced events like stalled jobs or failed attempts, develop custom alerts on key metrics such as queue length or processing time, explore integrations with ELK Stack for centralized logs, apply to real production incident cases, produce a BullMQ observability kit with ready-to-use dashboards, highlight your ops skills for the enterprise.

Module 5BullMQ: Complex Workflows and CI/CD Deployment (Microservices, Serverless)

Design multi-step BullMQ workflows to orchestrate microservices, integrate with serverless environments like AWS Lambda, automate deployment via GitHub Actions or Jenkins with E2E tests on queues, secure with Redis ACL and secrets management, migrate a legacy system to BullMQ on the final project, deploy in simulated production with zero-downtime, conclude with a presentation of your expert certifying solution.

Evaluation method

  • Expert MCQ on BullMQ and Redis architectures
  • Continuous evaluation through practical job processors
  • Presentation of the production-ready BullMQ capstone project

Learning method

  • Training delivered by an active BullMQ expert trainer
  • Hands-on exercises based on real enterprise cases with Redis
  • Capstone project on scalable queues spanning 5 days
  • Course materials and source code provided to participants

Methods, materials and delivery

The Training BullMQ - Orchestrating Scalable Asynchronous Tasks 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 BullMQ - Orchestrating Scalable Asynchronous Tasks 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 BullMQ - Orchestrating Scalable Asynchronous Tasks 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

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

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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