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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 Training - Optimizing IT Infrastructure Supervision 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 Training - Optimizing IT Infrastructure Supervision 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 Training - Optimizing IT Infrastructure Supervision 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.
Dive into creating ultra-high-performance Grafana dashboards by integrating dynamic variables and reusable templates. Configure advanced panels with Loki for logs and Prometheus for metrics. Perform practical exercises on real enterprise datasets, test complex queries in Grafana Explore, and produce a first interactive, deliverable dashboard with annotations and cross-links for immediate supervision.
Configure sophisticated Grafana alerting rules with multiple conditions and scheduled silences. Integrate notification channels such as Slack, PagerDuty, and email for professional responsiveness. Simulate real incident scenarios in the lab, optimize dynamic thresholds based on ML metrics, generate consolidated alert reports, and create an automated response plan to minimize MTTR in enterprise settings.
Explore Grafana plugins to connect Tempo to distributed traces, Elasticsearch to structured logs, and AWS/GCP to cloud metrics. Implement multi-source data federations through practical exercises on a complete observability stack. Debug cross-data queries with real microservices app cases, and deploy a unified Grafana explorer producing real-time correlations for in-depth professional analysis.
Secure your Grafana instance with OAuth2, LDAP, and advanced RBAC. Set up automatic dashboard provisioning via Terraform and Git. Implement a high-availability Grafana cluster with PostgreSQL backend. Test simulated attacks and failovers in the lab, generate certified security policies, and conduct a full audit for flawless enterprise compliance.
Optimize Grafana performance with caching, downsampling, and federated queries on large volumes. Integrate ML models for anomaly predictions. Develop advanced use cases such as SLO/SLI with GitOps annotations. Export automated PDF/CSV reports, finalize an ongoing project on your real infrastructure, deliver a production-ready optimization kit, and create a roadmap for certified skills.
Target audience
DevOps engineers, system administrators, SREs seeking to advance in professional observability
Prerequisites
Mastery of basic Grafana, Prometheus or InfluxDB, Linux and Bash/Python scripting
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