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 Scalable Kubernetes Monitoring training are: Mastery of Kubernetes, Docker, advanced Linux, basics of PromQL and Grafana.. A preliminary interview validates your eligibility.

Is the training available in person?

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

Training Prometheus Expert - Master Scalable Kub... | 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 Scalable Kubernetes 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 Expert - Master Scalable Kubernetes 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 Expert - Master Scalable Kubernetes 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 objectives

Deploy Prometheus in high availability on Kubernetes clusters.

Configure advanced exporters and metrics federation.

Implement Alertmanager for intelligent alerts.

Optimize PromQL queries for performant dashboards.

Integrate Prometheus with Grafana and Thanos.

Automate deployment via Helm and operators.

Secure and scale Prometheus in production.

Training program

Module 1Advanced Installation: Deploying Prometheus on Kubernetes (Helm, operators)

Dive into expert installation of Prometheus via Helm and the Operator, configure custom scraping rules, test federation for multi-clusters, perform practical exercises on Minikube, generate your first dashboards, and validate resilience with chaos engineering, for production-ready monitoring from day one.

Module 2Exporters and Custom Metrics: In-Depth Data Capture (node_exporter, blackbox)

Explore advanced exporters like node_exporter and blackbox, create custom metrics in Go, integrate dynamic service discovery, practice scraping on microservices applications, analyze bottlenecks via expert PromQL, and produce performance reports, transforming your data into actionable insights immediately.

Module 3Pro Alerting: Alertmanager and Grafana Integration (rules, silencing)

Master Alertmanager to group and route alerts, define complex rules with inhibitions, integrate Grafana for dynamic visualizations, simulate real incidents in labs, configure Slack/Teams notifications, and optimize for zero false positives, boosting your operational responsiveness by 50%.

Module 4Scaling and Security: Thanos, Production Best Practices (RBAC, remote_write)

Scale with Thanos for long-term storage, secure via RBAC and TLS, automate backups, test high availability live, resolve real production cases, and conclude with a deliverable capstone project, arming you to monitor critical infrastructure flawlessly.