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 Prometheus Expert - Master Advanced Monitoring in 28h training are: Advanced mastery of Linux, Docker, Kubernetes, Prometheus basics, Grafana, and scripting (Go/Python).. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Prometheus Expert - Master Advanced Monitoring in 28h training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training Prometheus Expert - Master Advanced Mon... | 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 Prometheus Expert - Master Advanced Monitoring in 28h 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 Prometheus Expert - Master Advanced Monitoring in 28h 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 Prometheus Expert - Master Advanced Monitoring in 28h 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 objectives

Deploy a high-availability Prometheus architecture in a Kubernetes cluster.

Optimize metrics to scale on massive environments.

Configure advanced alerting rules with federation and remote_write.

Integrate Prometheus with Grafana, Thanos, and VictoriaMetrics for total observability.

Diagnose and resolve incidents in real-time via expert troubleshooting.

Automate monitoring with custom exporters and Helm charts.

Produce predictive dashboards and business observability reports.

Training program

Module 1Prometheus Architecture: HA Deployment and Federation (Kubernetes Tools, Helm, remote_read/write)

Dive into the heart of Prometheus by deploying an HA cluster on Kubernetes via Helm, configure federation to aggregate multiple instances, test remote_read/write with failover scenarios, complete hands-on exercises on custom metrics, create your first exporters, and validate resilience with failure simulations—all to scale without limits.

Module 2Advanced Metrics: Scraping, Instrumentation, and Optimization (PromQL Tools, Exporters, Recording Rules)

Master expert PromQL for complex queries on billions of series, instrument your apps with Go/Python clients, optimize scraping with Kubernetes service discovery, create recording rules for performant aggregations, apply to real microservices cases, measure impact via benchmark exercises, and generate predictive metrics that boost your ops.

Module 3Alerting and Integrations: Rules, Grafana, and Thanos (Alertmanager, Cortex, Long-term Storage Tools)

Configure sophisticated alerts with inhibitions and groupings in Alertmanager, integrate with Slack/PagerDuty for zero-noise notifications, pair with Grafana for dynamic dashboards, deploy Thanos for infinite storage, test with chaos engineering, produce automated runbooks, and transform your alerts into proactive actions that prevent downtimes.

Module 4Scaling and Troubleshooting: Real Projects and Best Practices (VictoriaMetrics, Troubleshooting, Project Deliverables)

Scale Prometheus on 1000+ nodes with VictoriaMetrics, diagnose memory leaks and OOM via flamegraphs, apply best practices on real audits, integrate OpenTelemetry tracing, finalize a capstone project with a complete dashboard and report, export GitOps-ready configurations, and leave with a concrete portfolio to excel in production.