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 Advanced - Optimize Your Kubernetes Service Mesh training are: Advanced mastery of Kubernetes (kubectl, Helm, scaling), experience with microservices, basic knowledge of service meshes like Istio.. A preliminary interview validates your eligibility.

Is the training available in person?

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

Training Linkerd Advanced - Optimize Your Kubern... | 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 Advanced - Optimize Your 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 Advanced - Optimize Your 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 Advanced - Optimize Your 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 objectives

Deploy a complete Linkerd mesh on a production Kubernetes cluster

Configure advanced routing and traffic shifting for smooth deployments

Implement fine-grained observability with metrics, traces, and custom dashboards

Secure communications via automatic mTLS and strict network policies

Optimize performance by managing retries, timeouts, and circuit breakers

Effectively troubleshoot mesh incidents with advanced debugging tools

Integrate Linkerd with existing CI/CD and monitoring tools

Training program

Module 1Linkerd Deployment: Installation and Initial Configuration (Kubernetes, Helm, CLI)

Dive into the rapid installation of a Linkerd mesh on your personal Kubernetes cluster, use Helm to deploy the control plane, configure automatic injectors for your workloads, test the sidecar proxy on real pods, generate your first traffic success reports, and validate integration with hands-on exercises on simulated microservices, while mastering common pitfalls for a zero-downtime rollout.

Module 2Routing and Traffic Management: Advanced Policies (HTTP/gRPC, Mirroring, Splitting)

Master intelligent routing by implementing HTTPRoute and ServiceProfiles, configure traffic splitting for canary releases, enable mirroring for risk-free observation, experiment with retries and timeouts on real failure cases, analyze live metrics via the Linkerd CLI, and produce deliverables like visualized traffic topologies, to boost your continuous deployments with immediate resilience.

Module 3Observability and Security: mTLS, Traces, Dashboards (Prometheus, Grafana)

Enable zero-config mTLS to secure all inter-pod traffic, integrate OpenTelemetry for end-to-end distributed traces, deploy custom Grafana dashboards on Linkerd metrics, simulate lateral attacks and block them via authorizations, export to Prometheus for proactive alerting, and build a comprehensive observability report, transforming your clusters into ultra-reliable and transparent environments.

Module 4Optimization and Troubleshooting: Performance Tuning, Scalability, CI/CD Integrations

Optimize proxies for high-load workloads with advanced circuit breakers, scale the data plane across thousands of pods, integrate with GitOps via ArgoCD and Flux, diagnose complex outages with viz and debug containers, resolve real production scenarios like memory leaks or saturations, and conclude with a deliverable capstone project ready for your live environment.