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Training Micronaut 2026 - Scalable Microservices for Research

Ref: RYE803
10 people max.
5500€ 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 advanced reactive architectures of Micronaut 2026 for professional research applications
  • Develop scalable microservices optimized for processing massive scientific data
  • Implement security protocols and monitoring adapted to certifying enterprise environments
  • Design real-time data pipelines for physical and chemical modeling
  • Optimize Micronaut 2026 performance in Kubernetes clusters for R&D projects
  • Acquire certifying skills in cloud-native deployment for research teams

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 1Advanced Fundamentals of Micronaut 2026: AOT Compilation and Reactivity (GraalVM, Reactor tools)

Discover the AOT optimizations of Micronaut 2026 for ultra-fast startups in scientific simulations, implement reactive streams with Project Reactor to process massive datasets in physics, perform practical exercises on mathematical modeling cases, produce a first deployable microservice with integrated metrics, analyze performance gains via real benchmarks.

Module 2Micronaut 2026 for Data-Intensive Microservices: NoSQL Database Management (MongoDB, Cassandra tools)

Dive into native NoSQL database integration with Micronaut 2026 to store chemical simulation results, configure reactive repositories for complex real-time queries, develop secure REST APIs for sharing research data, test with large datasets from quantum physics, generate performance reports and production-ready deliverables.

Module 3Micronaut 2026 Security and Observability: OAuth2, Distributed Tracing (Micrometer, Zipkin tools)

Strengthen Micronaut 2026 microservices security with OAuth2 and JWT for collaborative research environments, implement distributed monitoring via Micrometer and Prometheus to track bottlenecks in intensive computations, practice on scenarios involving sensitive scientific data leaks, deploy custom dashboards, validate configurations through simulated audits, and obtain certifying setups.

Module 4Cloud-Native Deployment with Micronaut 2026: Kubernetes, Serverless (Helm, AWS Lambda tools)

Master native Kubernetes packaging for Micronaut 2026 to orchestrate mathematical simulation clusters, configure serverless deployments on AWS Lambda for infinite scalability, test resilience with chaos engineering on real physics cases, generate automated Helm manifests, analyze costs and performance to optimize enterprise R&D budgets.

Module 5Advanced Micronaut 2026 Projects: Concrete Scientific Research Cases (Complete Deliverables)

Synthesize your skills through a capstone project simulating a chemistry research platform, integrate all Micronaut 2026 modules for a full-stack scalable microservice, collaborate in pairs on distributed debugging and CI/CD with GitHub Actions, produce a production-like deployed portfolio, receive personalized feedback and a certifying professional skills attestation.

Evaluation method

  • Daily technical quizzes on advanced Micronaut 2026 concepts
  • Practical case studies with expert feedback
  • Final project evaluated live for skills validation

Learning method

  • Real projects inspired by scientific research
  • 70% practical exercises in remote format
  • Physics, chemistry, and mathematics case studies
  • Unlimited post-training support for 6 months

Methods, materials and delivery

The Training Micronaut 2026 - Scalable Microservices for Research 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 Micronaut 2026 - Scalable Microservices for Research 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 Micronaut 2026 - Scalable Microservices for Research 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

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Léo BlanchardFormation AWS — DevOps Engineer Professional
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« 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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