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 Linkerd - Master the Kubernetes Service Mesh training are: Mastery of Kubernetes (pods, services, deployments), networking basics, Docker and YAML.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Linkerd - Master the Kubernetes Service Mesh training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training Linkerd - Master the Kubernetes Service... | 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 Linkerd - Master the Kubernetes Service Mesh 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 Linkerd - Master the Kubernetes Service Mesh 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 Linkerd - Master the Kubernetes Service Mesh 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 access terms and deadlines

Training objectives

Deploy Linkerd on a production Kubernetes cluster

Configure traffic management with retries and circuit breakers

Implement mTLS security to protect communications

Monitor metrics via Grafana and Prometheus

Optimize performance and manage advanced failures

Integrate Linkerd into CI/CD pipelines

Conduct practical cases on real microservices

Training program

Module 1Linkerd Installation: Deployment on Kubernetes (kubectl, Helm, CLI)

Dive into the quick installation of Linkerd on your Kubernetes cluster, configure profiles via the linkerd CLI, verify status with dedicated commands, inject the proxy into existing pods, and test basic connections through practical exercises to instantly secure your mesh traffic.

Module 2Traffic Management: Splitting, Retries, Timeouts (HTTP/gRPC)

Master intelligent routing by practicing traffic splitting on microservices apps, implement retries and circuit breakers for optimal resilience, manage timeouts and weight-based routing via YAML, analyze flows with live dashboards, and optimize your deployments to scale without downtime.

Module 3Security and Observability: mTLS, Grafana, Prometheus

Enable mTLS to encrypt all inter-pod communications, configure authorization security policies, integrate Prometheus and Grafana to visualize latency and error metrics in real time, explore distributed traces, and diagnose real incidents on labs for total visibility of your mesh.

Module 4Advanced and Practical: CI/CD, Upgrades, Troubleshooting

Integrate Linkerd into GitOps and CI/CD with ArgoCD, perform zero-downtime upgrades, manage multi-cluster failures, apply everything to a capstone project with real microservices, produce production-ready deliverables, and leave with personalized templates to boost your expertise immediately.