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Training BullMQ 2026 - Managing Scalable Task Queues

Ref: TZQ444
10 people max.
5250€ 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 2026 for professional task queues in enterprise settings
  • Develop scalable jobs with processors and Redis workers
  • Implement error handling, retries, and advanced events
  • Configure priorities, delays, and certified repetition patterns
  • Deploy BullMQ 2026 clusters for high availability
  • Optimize queue performance in real-world contexts

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.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1BullMQ 2026 Fundamentals: Installation and First Queue (Redis, Node.js, Basic Jobs)

Quick installation of BullMQ 2026 with local Redis and Docker, create your first task queue, add and process simple jobs via processors, explore basic events like completed or failed, practical exercises on an asynchronous email sending case, produce a functional deliverable with basic monitoring to visualize the flow in real-time.

Module 2Advanced BullMQ 2026 Jobs: Data, Priorities, and Delays (opts, repeatables)

Dive into managing complex data in jobs with validation and serialization, configure priorities and delays to orchestrate intelligent workflows, set up repeatable jobs for cron-like tasks, practical workshops on an e-commerce scenario with deferred order processing, develop robust processors, generate a custom dashboard to track executions and adjust parameters live.

Module 3BullMQ 2026 Error Management: Retries, Backoffs, and Events (failed, stalled)

Master retry strategies with exponential backoff and configurable limits, intercept failed and stalled events for proactive alerts, implement custom handlers for logs and Slack notifications, concrete case on a banking API with automatic failure recovery, collaborative exercises to simulate Redis outages, create a resilient monitoring system with exported metrics.

Module 4BullMQ 2026 Scalability: Cluster Workers and Flows (multi-queues, dependencies)

Deploy multiple workers in cluster mode with PM2 or Kubernetes, orchestrate multi-queue flows with parent-child dependencies, optimize for high loads via rate limiters, practice on an IoT project handling thousands of sensors, configure Redis Sentinel for redundancy, produce a scalable cluster tested under stress with tools like Artillery.

Module 5Production and Optimization of BullMQ 2026: Monitoring, Security, and Deployment (Prometheus, Helm)

Integrate BullMQ 2026 in production with Prometheus and Grafana monitoring, secure queues via Redis ACL and job encryption, automated deployment with Helm and GitHub Actions CI/CD, final workshops on performance optimization with benchmarks, code review of the capstone project, delivery of an enterprise-ready implementation plan with full security audit.

Evaluation method

  • Certifying multiple-choice quiz on BullMQ 2026 concepts at the end of the training
  • Practical evaluation through development of complex queues
  • Presentation of the capstone project with scalable workers

Learning method

  • Courses delivered by a BullMQ expert trainer with active production experience
  • Hands-on exercises based on real, scalable business cases
  • Evolving capstone project over 5 days with daily feedback
  • Comprehensive pedagogical support and shared open-source resources

Methods, materials and delivery

The Training BullMQ 2026 - Managing Scalable Task Queues 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 2026 - Managing Scalable Task Queues 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 2026 - Managing Scalable Task Queues 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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