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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 Training Netdata - Mastering Real-Time Monitoring 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 Training Netdata - Mastering Real-Time Monitoring 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 Training Netdata - Mastering Real-Time Monitoring 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.
Discovery of system prerequisites and quick installation of Netdata on Linux servers, Docker containers and Kubernetes, configuration of streaming to centralize multi-node metrics, first tests of CPU, memory, disk, network data collection via the intuitive web interface, practical exercises on a simulated enterprise environment, creation of a functional Netdata agent with log export for immediate validation.
Customization of Netdata collectors to monitor specific applications like Nginx, MySQL, PostgreSQL, use of YAML configuration files to fine-tune polling intervals and thresholds, integration of Python/Go plugins for custom metrics, exercises on real enterprise cases with external API scraping, generation of interactive real-time graphs, diagnosis and resolution of collection issues for guaranteed professional visibility.
Design of custom Netdata dashboards via the drag-and-drop editor, creation of multi-metric charts for CPU, I/O, network latency, application of ready-to-use templates adapted to AWS/GCP cloud environments, collaborative exercises to build an ongoing critical infrastructure dashboard, export and sharing of custom views, optimization of navigation for rapid team analysis, immediate value for your daily operations.
Definition of Netdata alert rules based on dynamic thresholds and anomaly detection via MLD, configuration of multiple recipients like email, Slack, PagerDuty via webhooks, live testing of simulated incident scenarios to refine criticality, integration with SIEM tools for automatic escalation, exercises on real enterprise cases with alert template tuning, proven reduction in MTTR for certified production responsiveness.
Netdata cluster deployment with high availability on Kubernetes and Helm charts, resource optimization for environments with 1000+ nodes, advanced troubleshooting of missing or latent metrics, securing with TLS and ACL, final exercises on the complete ongoing project with GitLab CI/CD, code review and enterprise rollout plan, acquisition of skills for scalable and professional monitoring upon return to work.
Target audience
System administrators, DevOps engineers, IT managers for building skills in observability
Prerequisites
Mastery of Linux/Unix, basics in networking and Bash/Python scripting
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