Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training Docker Expert - Orchestrating Scalable Production Clusters training are: Mastery of basic Docker, advanced Linux, Git, Bash/Python scripting, CI/CD fundamentals.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Docker Expert - Orchestrating Scalable Production Clusters training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Training Docker Expert - Orchestrating Scalable ... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Training Docker Expert - Orchestrating Scalable Production Clusters training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training Docker Expert - Orchestrating Scalable Production Clusters training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training Docker Expert - Orchestrating Scalable Production Clusters training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training objectives

Optimize multi-stage Docker images to reduce size by 70%.

Deploy and manage high-availability Docker Swarm clusters.

Implement advanced security with secrets and image scanning.

Integrate Docker into CI/CD pipelines with GitHub Actions and Jenkins.

Monitor production containers using Prometheus and Grafana.

Automate migrations from Docker Swarm to Kubernetes.

Training program

Module 1Day 1: Docker Image Optimization (Advanced Dockerfile, multi-stage, security scanning)

Dive into image optimization by refactoring complex Dockerfiles, test multi-stage builds to divide sizes by 5, integrate Trivy for vulnerability scanning, complete exercises on real microservices app cases, produce lightweight production-ready images, gain speed and security from day one.

Module 2Day 2: Advanced Networking and Volumes (Docker Compose, overlay networks, persistent storage)

Master Docker Compose for multi-container orchestration, configure secure overlay networks, manage distributed volumes with NFS, simulate hybrid cloud/on-prem environments through practical workshops, deploy resilient stacks, generate optimized YAML diagrams and configs, transform your setups into scalable architectures.

Module 3Day 3: Docker Swarm Clustering (Services, stacking, load balancing)

Initialize multi-node Swarm clusters, deploy auto-scaling replica services, configure internal load balancers, manage rolling updates without downtime, test failover on failure scenarios via immersive exercises, produce deployable Swarm manifests, become an expert in distributed orchestration.

Module 4Day 4: Monitoring, CI/CD, and Best Practices (Prometheus, Helm intro, production hardening)

Integrate monitoring with Prometheus/Grafana on Swarm, automate Docker CI/CD via GitLab pipelines, apply security and performance best practices, migrate to Kubernetes Helm charts, conclude with a final containerized production project, leave with a complete toolbox and project certificates.