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 Karpenter - Optimizing Kubernetes Autoscaling training are: Advanced mastery of Kubernetes, experience with EKS or GKE, skills in YAML and Helm. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Karpenter - Optimizing Kubernetes Autoscaling training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Training Karpenter - Optimizing Kubernetes Autos... | 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 Training Karpenter - Optimizing Kubernetes Autoscaling 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 Karpenter - Optimizing Kubernetes Autoscaling 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 Karpenter - Optimizing Kubernetes Autoscaling 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

Master Karpenter for dynamic and efficient autoscaling in enterprise environments

Develop Karpenter provisioners tailored to professional workloads

Implement Karpenter integration with certified public clouds

Optimize costs and performance of Kubernetes clusters via Karpenter

Design advanced scaling strategies for scalable applications

Troubleshoot and monitor Karpenter in production for high availability

Deploy Karpenter in secure enterprise environments

Training program

Module 1Karpenter Installation: Advanced Configuration and Basic Provisioners (Helm, IAM, EKS)

Quick installation of Karpenter on an existing EKS cluster via Helm, configuration of IAM roles and secure policies for autonomous provisioning, creation of your first simple provisioner with CPU/memory constraints, practical scaling tests on simulated workloads, analysis of initial logs and optimization of default parameters for professional environments.

Module 2Karpenter Provisioners: Advanced Rules and Consolidation (Taints, Labels, TTL)

Definition of complex provisioners with taints, labels, and node selectors for specific workloads, implementation of consolidation to reduce costs by consolidating pods, exercises on enterprise cases like microservices scaling, setup of TTL and disruption budgets to minimize interruptions, validation through load spike simulations with real metrics.

Module 3Karpenter Integration: Multi-Cloud and HPA (EKS, GKE, Metrics-Server)

Integration of Karpenter with Horizontal Pod Autoscaler and metrics-server for reactive scaling, adaptation to multi-cloud environments like GKE or self-hosted, connection to external APIs for intelligent provisioning decisions, practical workshops on a hybrid cluster, generation of customized manifests and orchestration tests with ArgoCD for continuous deployments.

Module 4Karpenter Monitoring: Observability and Optimization (Prometheus, Grafana, Costs)

Deployment of dedicated Prometheus and Grafana dashboards for Karpenter to track disruptions and provisions, analysis of AWS cost metrics and optimization of instance types via spot instances, concrete cluster audit cases with 40% expense reduction, real-time tuning exercises on your red thread project, export of reports for company committees.

Module 5Karpenter in Production: Troubleshooting and Best Practices (Security, DR, CI/CD)

Advanced diagnosis of provisioning failures with webhooks and structured logs, securing with Pod Security Standards and network policies, simulation of disaster recovery for resilient clusters, integration into GitOps pipelines with Flux or ArgoCD, finalization of the red thread project with simulated production deployment, code review and action plan for your enterprise.

Evaluation method

Technical multiple-choice quiz on Karpenter and Kubernetes at the end of the training
Practical evaluation via the autoscaled red thread project
Oral presentation of the optimizations achieved in front of the trainer