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 Prometheus Training - Master Open-Source Monitoring training are: Basic Linux knowledge, networking and Docker basics recommended.. A preliminary interview validates your eligibility.

What are the objectives of the Prometheus Training - Master Open-Source Monitoring training?

The objectives of the Prometheus Training - Master Open-Source Monitoring training are: Install and configure Prometheus on a Linux environment. Collect metrics via dedicated exporters. Master PromQL queries to analyze data. Create interactive dashboards with Grafana. Define custom alerting rules. Integrate Prometheus into a Kubernetes ecosystem. Optimize infrastructure performance in real-time. Upon completion, you will be able to put these skills into practice.

Is the training available in person?

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

Prometheus Training - 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

9 spots remaining for the next session

FormatParticipantsDateDetails

Which format do you prefer?

Methods, approaches, and teaching resources

The Prometheus Training - 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 Prometheus Training - 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 Prometheus Training - 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

Discover Prometheus, dive into its client-server architecture, install it on a Linux VM via Docker, configure the prometheus.yml file for initial scrape targets, perform your first startup exercises, test system metrics collection, and visualize data in the intuitive web interface, while laying the foundations for reliable monitoring that boosts your skills from day one.

Module 2Advanced Configuration: Exporters and Collection Targets

Configure Node Exporter and Blackbox Exporter to monitor CPU, memory, and web availability, define multiple jobs in prometheus.yml, test automatic service discovery, perform practical exercises on real cases like an Apache web server, generate your first graphs, and learn to troubleshoot common errors, transforming your infrastructures into observable performant systems.

Module 3PromQL: Queries and Analysis of Essential Metrics

Master PromQL with aggregation functions, rates, and histograms, write queries to analyze network traffic and resource usage, practice on real datasets via the Prometheus interface, solve timed exercises on bottleneck scenarios, export results for reporting, and gain autonomy to instantly decipher your systems' performance.

Module 4Alerting and Visualization: Grafana for Pro Dashboards

Integrate Grafana with Prometheus, create dynamic dashboards with gauges and graphs panels, configure alerts via Alertmanager for Slack or email, test rules on critical thresholds like 90% CPU, customize reusable templates, simulate incidents to validate notifications, and produce impactful visual deliverables that impress in production.

Module 5Kubernetes Integration and Final Project: Production Monitoring

Deploy Prometheus Operator in a Kubernetes cluster, monitor pods and services with Kube-State-Metrics, apply best practices for scaling and federation, complete a capstone project on a full DevOps stack, optimize configurations for high availability, present your live monitoring, and leave with a concrete portfolio ready for employment.