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 Secure Service Mesh for Kubernetes training are: Basic knowledge of Kubernetes, Docker, and Linux. Minimal experience deploying containerized applications.. A preliminary interview validates your eligibility.

Is the training available in person?

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

Training Linkerd - Master the Secure Service Mes... | 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 Secure Service Mesh for Kubernetes 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 Secure Service Mesh for Kubernetes 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 Secure Service Mesh for Kubernetes 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

Understand the fundamental concepts of service meshes and Linkerd.

Install and configure Linkerd on a Kubernetes cluster.

Instrument microservices with Linkerd for secure traffic.

Implement routing, retries, and circuit breakers.

Monitor performance and debug network incidents.

Apply best practices for production deployment.

Training program

Module 1Introduction to Service Meshes: Linkerd Concepts and Installation (CLI, Helm, Kubernetes Cluster)

Dive into the basics of service meshes, install Linkerd on a real Kubernetes cluster using CLI and Helm, configure the sidecar proxy on simple pods, perform your first mTLS traffic tests, generate Viz dashboards to visualize flows, and produce a validated team installation report.

Module 2Application Instrumentation: Proxy Injection and Secure Traffic (emojiviz tools, practical exercises)

Inject the Linkerd proxy into your containerized applications, secure traffic with automatic mTLS, test resilience under high load scenarios, analyze Golden Signals metrics via the dashboard, debug common errors with debug tools, and deploy an instrumented app ready for production.

Module 3Routing and Policies: Traffic Splitting and Retries (Linkerd CRDs, HTTPRoute)

Define advanced routes with HTTPRoute and Server, implement traffic splitting for canaries, configure retries and timeouts on real scenarios, simulate failures to test resilience, optimize policies via YAML, and validate a routed flow with real-time metrics.

Module 4Security and Observability: mTLS, Authorization, and Monitoring (Viz, Prometheus)

Strengthen security with mTLS and Linkerd RBAC policies, integrate Prometheus for custom alerting, explore distributed traces, analyze latencies and errors across multi-service apps, create custom dashboards, and produce a complete security audit of your mesh.

Module 5Production and Best Practices: Scaling, Troubleshooting, and Migration (real cases, final deliverables)

Scale your mesh for production with HSM and multi-clusters, migrate from Istio to Linkerd in a guided exercise, resolve complex incidents via CLI debug, apply CI/CD best practices, synthesize a rollout plan, and leave with a portfolio of production-ready configs.