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 - Master open-source monitoring training are: Linux basics, Docker and networking fundamentals.. A preliminary interview validates your eligibility.

What are the objectives of the Training Prometheus - Master open-source monitoring training?

The objectives of the Training Prometheus - Master open-source monitoring training are: Install Prometheus on a local or cloud environment.. Configure scrapers to collect key metrics.. Integrate Grafana to visualize data in dashboards.. Set up Alertmanager for reliable alerts.. Analyze the performance of containerized infrastructures.. Deploy Prometheus in secure production mode.. Upon completion, you will be able to put these skills into practice.

Is the training available in person?

Yes, the Training Prometheus - Master open-source monitoring training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training Prometheus - Master open-source monitoring | 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 - Master open-source 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.

Teaching resources provided

To ensure the quality of the Training Prometheus - Master open-source monitoring 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 - Master open-source monitoring 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 program

Module 1Introduction to Prometheus: installation and basic architecture (Docker, YAML configuration)

Discover Prometheus by installing the tool via Docker on your machine, configure the main server and explore its intuitive web interface, perform your first metric exports with simple jobs, test service discovery through practical exercises to visualize collected data instantly, leave with a functional environment ready to scale.

Module 2Metrics collection: scrapers and advanced exporters (Node Exporter, cAdvisor)

Dive into configuring scrapers to capture CPU, memory, and network metrics, integrate Node Exporter and cAdvisor on Docker containers, practice relabeling rules to filter essential data, analyze real-time timelines in concrete cases, produce your first custom reports that boost visibility into performance.

Module 3Visualization and alerting: Grafana and Alertmanager (dashboards, alert rules)

Pair Prometheus with Grafana to create dynamic interactive dashboards, design advanced graphs on multi-source metrics, set up Alertmanager for intelligent Slack or email notifications, simulate outage scenarios to test live alerts, optimize thresholds through iterative exercises, obtain deliverables ready for your team.

Module 4Production deployment: Kubernetes integration and best practices (Helm, security)

Deploy Prometheus in a Kubernetes cluster with Helm for immediate scalability, secure access via TLS and authentication, integrate Prometheus Operator for automated management, conduct a final project on microservices app monitoring, review common pitfalls and migrate to production, leave certified with a concrete, actionable portfolio.