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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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The Training Argo Workflows - Orchestrating Advanced Kubernetes Pipelines 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.
To ensure the quality of the Training Argo Workflows - Orchestrating Advanced Kubernetes Pipelines training, Learni provides the following 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.
The assessment of skills acquired during the Training Argo Workflows - Orchestrating Advanced Kubernetes Pipelines training is carried out through:
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.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Quick installation of Argo Workflows on a Kubernetes cluster using Helm and YAML manifests, hands-on with the Argo UI interface to visualize executions, use of the argo CLI to submit and manage workflows, creation of basic workflows with steps, containers, and persistent volumes, practical exercises on automated build and test pipelines, production of a testable and documented workflow for immediate reuse in the enterprise.
Design of reusable templates to modularize complex pipelines, implementation of DAGs to orchestrate parallel and conditional tasks with Argo Workflows, management of dynamic parameters, artifacts, and shared volumes between steps, integration of bash or Python scripts in containers, practical cases on multi-step CI/CD workflows inspired by real projects, development and interactive debugging of a complete pipeline with trainer code review.
Production deployment with high availability, RBAC and secrets configuration to secure access, integration of Prometheus and Grafana to monitor Argo workflow metrics, resource optimization with limits and node selectors, advanced error management, retries, and suspensions, exercises on a scalable ongoing project, finalization of a custom dashboard and migration plan from legacy tools to Argo Workflows in the enterprise.
Target audience
DevOps Engineers, Kubernetes administrators, CI/CD developers seeking to advance their skills in professional orchestration
Prerequisites
Mastery of Kubernetes (pods, deployments, services), Docker, and CI/CD basics such as Jenkins or GitHub Actions
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