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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.
Which format do you prefer?
30 free minutes with a training advisor — no commitment.
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Professional Training training in New York in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Cybersecurity training in Oklahoma City in December 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Cybersecurity training in Sheffield in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Discover step-by-step methods to master bookkeeping and accounting fundamentals in April 2026. Explore online courses, tools, practice tips, and future trends like AI integration for aspiring professionals.
Don't let this gap widen
Sans OpenTelemetry, le debugging distribué multiplie par 3 le temps de résolution, coûtant 45 000 € par incident majeur selon Gartner 2024.
Les équipes sous-équipées subissent 35 % d'outages supplémentaires, perdant 20 % de revenus e-commerce et érodant la confiance clients.
72 % des entreprises Fortune 500 intègrent déjà l'observabilité native, écartant les profils non certifiés en entretien.
Chaque retard creuse l'écart concurrentiel : incidents MTTR explosent à 4 heures sans traces fiables, menaçant croissance et stabilité business.
Maîtrisez-le pour sécuriser vos déploiements et booster productivité dès demain.
The Formation OpenTelemetry - Maîtriser l'observabilité distribuée 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 Formation OpenTelemetry - Maîtriser l'observabilité distribuée 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 Formation OpenTelemetry - Maîtriser l'observabilité distribuée 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.
Installez et configurez les SDK OpenTelemetry pour Java, Python et Node.js dans un environnement Docker, implémentez instrumentation automatique et manuelle avec propagation de contexte pour traces distribuées, générez métriques et logs corrélés via API expertes, déployez le collector OTEL pour exporter vers Jaeger et Prometheus avec processors de sampling optimisés, réalisez exercices pratiques sur microservices Kubernetes, déboguez scénarios d'erreurs réels en analysant spans et timelines, produisez un dashboard observabilité fonctionnel et un plan de déploiement production prêt à l'emploi.
Target audience
Ingénieurs DevOps, développeurs backend, architectes cloud pour une montée en compétences en observabilité professionnelle
Prerequisites
Expérience en développement (Java, Python ou Go), bases en monitoring (Prometheus, Jaeger), conteneurs Docker/Kubernetes
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