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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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30 free minutes with a training advisor — no commitment.
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Artificial Intelligence training in Raleigh in June 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
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Don't let this gap widen
Without Linkerd mastery, 65% of Kubernetes clusters suffer network downtimes >2h/week, costing 45k€/month in revenue losses (source CNCF).
Unmanaged latency explodes to 500ms, frustrating 80% of users.
Missing mTLS breaches expose data (GDPR fines 20M€).
Traffic splitting errors crash 40% of blue-green deployments.
Train as an expert: avoid 90% of incidents, scale confidently, 10x ROI in 6 months.
The Linkerd Training - Master the Expert 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.
To ensure the quality of the Linkerd Training - Master the Expert Kubernetes Service Mesh 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 Linkerd Training - Master the Expert Kubernetes Service Mesh 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.
Install Linkerd via CLI on Kubernetes, inject sidecars into existing pods, verify proxy with kubectl and viz, simulate initial traffic to validate meshes, create your first deliverable: production-ready functional mesh cluster, practical exercises on Minikube then EKS, immediate gain in technical confidence.
Configure HttpRoute for 80/20 A/B splitting, enable automatic retries on 503, measure latency via viz dashboards, test chaos engineering with Litmus, produce Golden Signals reports, real-world e-commerce cases for canary releases, transform your deployments into resilient ones, scale without fear.
Enable zero-trust mTLS, generate SPIFFE identities for workloads, implement ServerTLS and HTTP authorization policies, audit traffic via proxy-logs, exercises on simulated breaches, deliverable: certified secure cluster, apply to real microservices, protect your data like a pro.
Integrate Prometheus scrape for Linkerd metrics, deploy custom Grafana dashboards, trace requests with Jaeger, analyze top errors and RPS, resolve major incident in 10min case study, export Slack alerts, become an observability expert, your ops will never be blind again.
Multi-cluster federation via Linkerd, tune proxy for 10k RPS, advanced debug with debug-sidecar and tcpdump, resolve flaps and memory leaks, simulate production chaos, finalize project portfolio, certify expertise, recoup training investment on Monday by boosting your infrastructure.
Target audience
DevOps, SRE, cloud architects seeking to upskill on service meshes.
Prerequisites
Mastery of Kubernetes (CKA), advanced networking, Linux, basic Go.
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