Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training Grafana Expert - Master Advanced Observability training are: Intermediate Grafana proficiency, experience with Prometheus/Loki/InfluxDB, Linux/Docker/Kubernetes, basic Go/Python scripting.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Grafana Expert - Master Advanced Observability training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Training Grafana Expert - Master Advanced Observ... | Learni

The story of Learni

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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Methods, approaches, and teaching resources

The Training Grafana Expert - Master Advanced Observability 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.

Teaching resources provided

To ensure the quality of the Training Grafana Expert - Master Advanced Observability training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and 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.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training Grafana Expert - Master Advanced Observability training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

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.

Training access terms and deadlines

Training objectives

Deploy Grafana in high availability with Kubernetes

Create advanced dynamic and interactive dashboards

Integrate multiple and complex data sources

Develop custom plugins and panels

Configure unified and automated alerts

Optimize Grafana performance and security

Automate provisioning with Terraform/Ansible

Training program

Module 1Grafana Architecture: scaling and HA (Docker, Kubernetes, provisioning)

Dive into high-availability Grafana deployment, configure Kubernetes clusters, provision via YAML/Terraform, perform practical exercises on horizontal scaling, test resilience with chaos engineering, produce a deliverable blueprint for your infrastructure, while mastering native tools for seamless observability.

Module 2Advanced Grafana Dashboards: dynamic visualizations (panels, variables, Loki)

Build interactive dashboards with advanced variables, explore Loki/Prometheus panels, chain exercises on drill-downs, automated annotations, real microservices app cases, generate exportable PDF/CSV reports, experience the thrill of visualizations that instantly reveal bottlenecks.

Module 3Grafana Alerting and Integrations: multi-sources (Prometheus, unified alerting)

Integrate Grafana with Prometheus, Thanos, VictoriaMetrics, configure sophisticated alerts with silences/groups, simulate real incident scenarios, develop ML-based rules, test Slack/PagerDuty notifications, produce a ready-to-deploy alerting playbook, transform your data into unstoppable proactive actions.

Module 4Grafana Plugins, Security, and Optimization: custom dev, performance tuning

Develop custom Go plugins, secure with SSO/OAuth and role-based access, optimize queries/caching for 10x performance, exercises on security audits, PostgreSQL backend tuning, enterprise-scale cases, deliver a functional plugin and optimization report, become the expert who boosts your observability stack.