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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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Don't let this gap widen
Sans maîtrise Netdata expert, downtimes coûtent 9000€/heure aux entreprises critiques, 42% incidents liés monitoring défaillant selon Gartner 2025.
Équipes perdent 35% temps en debugging manuel, exposant revenus et SLA clients.
Carrières SRE/DevOps stagnent, 68% recruteurs exigent observabilité temps réel.
Chaque trimestre sans compétences Netdata creuse écart concurrents zéro incident, risquant parts marché vitales.
Agissez pour monitoring infaillible dès maintenant.
The Formation Netdata - Maîtriser le monitoring infrastructure expert 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 Netdata - Maîtriser le monitoring infrastructure expert 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 Netdata - Maîtriser le monitoring infrastructure expert 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.
Déploiement rapide Netdata sur serveurs Linux bare-metal et Kubernetes, activation collectors avancés pour CPU, RAM, disque, réseau et conteneurs, tuning précision métriques via YAML configs, exercices pratiques sur cluster simulé entreprise, génération rapports initiaux, diagnostic bottlenecks réels pour optimisation immédiate valeur ajoutée.
Conception dashboards Netdata interactifs avec heatmaps, graphs dynamiques et drill-downs, personnalisation UI via API REST et plugins JS, intégration données externes pour vues unifiées, cas concrets e-commerce haute charge, production livrables exportables PDF/JSON, tests ergonomie pour équipes ops, boost productivité monitoring visuel expert.
Définition alertes Netdata basées seuils dynamiques, anomalies ML et corrélations multi-métriques, configuration webhooks pour notifications Slack/Teams/PagerDuty, federation avec Prometheus pour silos unifiés, simulations incidents réels entreprise, tuning faux positifs pour fiabilité 99,9%, création playbooks réponse automatisée, maîtrise pro active monitoring.
Optimisation consommation CPU/RAM Netdata sous charges extrêmes via streaming parent-child, cache Redis intégrée et compression données, benchmarks AWS/GCP/Azure pour coûts minimes, exercices scaling horizontal 1000+ nœuds, profiling bottlenecks avec flamegraphs, ajustements configs pour latence <1s, livrables blueprints déployables production, expertise perf critique.
Déploiement clusters Netdata haute disponibilité avec leader election et failover auto, activation ML anomaly detection/forecasting pour prédictions downtimes, intégrations SIEM comme ELK pour traçabilité complète, projet fil rouge cluster prod simulé, code review formateur expert, certification compétences via QCM pratique, support post-formation ressources avancées.
Target audience
Ingénieurs DevOps, administrateurs systèmes SRE, experts IT pour montée en compétences monitoring entreprise
Prerequisites
Expertise Linux/Unix, Docker/Kubernetes, Prometheus/Grafana, scripting Bash/Python
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