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Training Docker Compose - Orchestrating Multi-Container Stacks in Production

Ref: HNE140
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 Docker Compose for configuring professional multi-container stacks in enterprise settings.
  • Deploy and scale complex applications with overrides and dynamic environments.
  • Optimize Docker Compose performance via advanced networks and certified healthchecks.
  • Implement data persistence and secrets for secure deployments.
  • Integrate Docker Compose with Kubernetes and Helm for hybrid production orchestration.
  • Develop practical skills in debugging and monitoring Docker Compose stacks.
  • Design automated CI/CD pipelines boosting DevOps team efficiency.

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 Docker Compose Fundamentals: Expert YAML and Interconnected Services (Docker Compose v2+)

Dive into advanced YAML configurations of Docker Compose, explore dependent services, multi-stage builds, and extends for reusing setups, perform practical exercises on web stacks with interconnected databases via custom networks, produce a first optimized docker-compose.yml deployable in one click, test dependencies with wait scripts and healthchecks for smooth scaling.

Module 2Docker Compose Networks and Communication: Load Balancing and Service Discovery (Integrated Tools)

Configure advanced overlay networks in Docker Compose to simulate swarm-like environments, implement automatic load balancing between service replicas, integrate Consul or Traefik for dynamic service discovery, practice on real cases like a microservices e-commerce platform with API gateway, generate structured logs and monitor network flows, deliver a resilient stack ready for enterprise production.

Module 3Docker Compose Volumes, Secrets, and Persistence: Security and Data Management (Best Practices)

Master bind volumes, named volumes, and external drivers in Docker Compose for reliable persistence, manage secrets with Docker Secrets and encrypted env files, configure automated backups via cron jobs in containers, apply to a banking project with PostgreSQL databases and Redis clusters, test secret rotation without downtime, produce auditable configs compliant with GDPR for secure enterprise deployments.

Module 4Docker Compose Scaling and Overrides: High Availability and Multi-Environments (Prod/Dev)

Learn horizontal scaling with docker-compose up --scale, use override files for dev/staging/prod, integrate profiles to enable/disable services, simulate zero-downtime deployments with blue-green strategy, practice on a monolith-to-microservices app migration, monitor with embedded Prometheus and Grafana, generate reusable templates boosting productivity for professional DevOps teams.

Module 5Advanced Docker Compose Integration: CI/CD, Kubernetes, and Helm (Hybrid Orchestration)

Integrate Docker Compose with GitHub Actions and GitLab CI for end-to-end pipelines, migrate stacks to Kubernetes via Kompose, combine with Helm charts for helmified deployments, debug with dive and advanced docker logs, complete a final project on a scalable full-stack stack, evaluate performance in real-world conditions, obtain certified deliverables to showcase your container professional training skills.

Evaluation method

  • Daily technical quizzes on YAML and Docker Compose configurations.
  • Practical evaluation of hands-on labs with individual feedback from expert trainer.
  • Capstone project: deployment of a complete stack in a simulated production environment.

Learning method

  • Interactive lectures with live demos on advanced Docker Compose.
  • Hands-on workshops in small groups for 100% practical experience on dedicated machines.
  • Real-world case studies from Fortune 500 companies using Docker Compose.
  • Production scenario simulations with injected failures and resolutions.

Methods, materials and delivery

The Training Docker Compose - Orchestrating Multi-Container Stacks in Production 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 Docker Compose - Orchestrating Multi-Container Stacks in Production 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 Docker Compose - Orchestrating Multi-Container Stacks in Production 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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