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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.
10 spots per session maximum — 9 already taken
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30 free minutes with a training advisor — no commitment.
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Discover essential strategies, trends, and training programs for organizations to excel in data governance by March 2026. Stay compliant and leverage data effectively.
The Prometheus Training - Effectively Supervising Infrastructures 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 Prometheus Training - Effectively Supervising Infrastructures 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 Prometheus Training - Effectively Supervising Infrastructures 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.
Review of Prometheus architecture. Installation in cluster mode. Configuration of the Prometheus server. Setting up Node and cAdvisor exporters. Practical exercises on real enterprise cases. Start of the main project: monitoring a Docker app. Basic metrics scraping. Federation tests. Hands-on with simple relabeling. Service discovery integration. Troubleshooting common monitoring issues. Preparation for advanced scraping jobs.
Advanced scrape_configs definition. Using PromQL for complex queries. Aggregations and time-based functions. Professional exercises on custom metrics. Development of custom exporters. Integration with Blackbox exporter. Real Kubernetes cases. Main project: adding container metrics. Label filters and patterns. Time series management. TSDB storage optimization. YAML configuration debugging. Hands-on recording rules.
Alertmanager configuration. Advanced alerting rules. Grouping and inhibition. Integration with Slack and PagerDuty. Dynamic Grafana dashboards. PromQL variables and templates. Exercises on high-availability alerts. Main project: complete alerting setup. Real SRE enterprise cases. Dashboard provisioning. Unified observability panels. Silencing tests. Alert resilience. Best practices for DevOps teams.
Federation and remote write/read. Thanos integration for long-term storage. Horizontal Prometheus scaling. Kubernetes Helm charts. TLS security and RBAC. Main project final: full-stack deployment. Multi-cluster monitoring. Performance optimization exercises. TSDB backup and restore. Self-monitoring of Prometheus. Real AWS/GCP cloud cases. HA deployment. Certifying skills evaluation. Project defense.
Target audience
DevOps Engineers, system administrators, and SREs aiming to advance their skills in professional monitoring
Prerequisites
Solid knowledge of Linux, Docker, and monitoring basics. Experience with networking and APIs
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