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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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The Grafana IoT Training - Real-Time Supervision of Connected Fleets 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 Grafana IoT Training - Real-Time Supervision of Connected Fleets 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 Grafana IoT Training - Real-Time Supervision of Connected Fleets 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.
Advanced installation of Grafana with dedicated IoT plugins, connection to InfluxDB and Prometheus for ingesting live MQTT streams, configuration of secure datasources with OAuth authentication, practical exercises on simulations of real IoT sensors, creation of first business dashboard with dynamic panels, load testing to validate enterprise scalability, deliverable: personalized operational Grafana IoT environment.
Design of interactive Grafana IoT dashboards with dynamic variables and real-time annotations, integration of Loki for IoT logs and Tempo for distributed traces, exercises on concrete industrial connected fleet cases, panel customization with heatmaps and geomaps for geolocated monitoring, PromQL query optimization for critical performance, collaboration via enterprise dashboard sharing, deliverable: complete IoT dashboard prototype with PDF/JSON exports.
Definition of multi-level Grafana IoT alert rules on sensor anomalies and critical thresholds, configuration of silences and automated escalations, integration of Slack, PagerDuty, and webhook notifiers for ops teams, simulations of real IoT incidents with practical drills, alert tuning to reduce false positives by 70%, exercises on log/metric correlations, deliverable: production-ready Grafana IoT alerting system with playbooks.
Deployment of Grafana IoT in Kubernetes clusters via Helm charts, securing with LDAP SSO and granular RBAC, optimization of caching and sharding for millions of IoT metrics, exercises on legacy migration to hybrid Grafana Cloud, monitoring the monitoring with meta-dashboards, case studies from leading IoT enterprises, code review and certified best practices, deliverable: deployed, documented, and scalable Grafana IoT stack for your infrastructure.
Target audience
IoT Engineers, DevOps, Data Engineers in enterprises seeking to upskill in monitoring
Prerequisites
Mastery of basic Grafana, time-series fundamentals (Prometheus, InfluxDB), IoT protocols (MQTT, CoAP)
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