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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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The Training KEDA - Event-Driven Kubernetes Autoscaler 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.
To ensure the quality of the Training KEDA - Event-Driven Kubernetes Autoscaler training, Learni provides the following 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.
The assessment of skills acquired during the Training KEDA - Event-Driven Kubernetes Autoscaler training is carried out through:
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.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Quick installation of KEDA via Helm on an existing Kubernetes cluster, configuration of standard scalers such as HTTP and CPU, setup of custom triggers for message queues, practical exercises on a test workload with automatic scaling, analysis of logs and metrics to validate behavior, creation of a first functional ScaledObject ready for enterprise use, with a focus on CNCF compatibility.
Advanced integration of external scalers with Kafka and RabbitMQ for real event streams, configuration of Prometheus metrics for predictive scaling, resource optimization with external HPA and KEDA, concrete cases of scalable microservices applications, exercises on your personal project with live debugging, setup of Grafana dashboards for real-time monitoring, final deliverable: a certifiable architecture deployable in production, demonstrating a 50% reduction in unnecessary costs.
Target audience
DevOps Engineers, Kubernetes Administrators, Cloud Architects for professional skill development
Prerequisites
Kubernetes experience (pods, deployments, HPA), Docker and YAML basics
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