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: Basic Linux knowledge, Docker basics, and networking concepts.. A preliminary interview validates your eligibility.

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.

Configure your training

Response within 24hNo commitment100% free

8 spots remaining for the next session

FormatParticipantsDateDetails

Which format do you prefer?

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 objectives

Install and configure Prometheus in a local environment.

Collect metrics via standard exporters.

Create dashboards with Grafana to visualize data.

Configure Alertmanager for proactive alerts.

Analyze real-world production monitoring cases.

Integrate Prometheus with Kubernetes for cloud-native monitoring.

Training program

Module 1Introduction to Prometheus: architecture and key concepts (basic tools, scraping)

Discover Prometheus architecture, install it on a Linux VM through practical exercises, configure the server to scrape your first metrics, explore the web interface to visualize real-time data, and create your first collection job with simple targets, while handling basic PromQL queries that will make you want to monitor everything right away.

Module 2Advanced Installation and Exporters: Node Exporter, cAdvisor (system metrics)

Dive into Docker installation of Prometheus, deploy Node Exporter to monitor CPU and RAM, configure cAdvisor for containers, test relabelings to organize your data, perform exercises on custom metrics, and generate your first graphs via the Prometheus explorer, a hands-on experience that boosts your monitoring confidence.

Module 3PromQL Queries and Storage: federation, recording rules (analytics tools)

Master PromQL with complex queries on rates and histograms, configure TSDB storage for historical data, implement recording rules to optimize performance, test federation between Prometheus instances, apply everything on real datasets via interactive exercises, and visualize trends that reveal hidden bottlenecks in your systems.

Module 4Alerting with Alertmanager: Grafana integration (dashboards, notifications)

Configure Alertmanager to group and route Slack/Email alerts, define alert rules based on critical thresholds, integrate Grafana for dynamic dashboards with variables, create custom panels on Kubernetes metrics, simulate incidents to test your setups, an immersive session that makes your systems resilient and proactive.

Module 5Practical Projects and Kubernetes Cases: Helm Deployment (final deliverables)

Deploy Prometheus on a Minikube cluster via Helm, monitor pods and services with Prometheus Operator, analyze correlated logs and traces, complete a full project with monitoring report, review best practices through real case studies, and leave with ready-to-use dashboards, a motivating conclusion to apply immediately in your company.