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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 Amazon EKS - Orchestrating Scalable Kubernetes on AWS 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 Amazon EKS - Orchestrating Scalable Kubernetes on AWS 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 Amazon EKS - Orchestrating Scalable Kubernetes on AWS 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.
Rapid installation of an EKS cluster via EKSctl and AWS Console, customization of node groups with managed nodes and Fargate for serverless workloads, practical exercises on CDK blueprints for reproducible IaC, configuration of add-ons CoreDNS and VPC-CNI, creation of a scalable red thread project with trainer code review, immediate value for enterprise production environments.
Implementation of IRSA for secure IAM roles for pods, activation of Pod Security Standards and OPA Gatekeeper policies, exercises on EBS/EFS volume encryption and secrets manager integration, security audit scanning with Trivy and Falco, concrete cases of avoided breaches, network reinforcement with ALB Ingress and Calico Network Policies, deliverable certifying security plan for enterprise GDPR compliance.
Configuration of Cluster Autoscaler and Karpenter for dynamic node scaling, implementation of Horizontal Pod Autoscaler with CPU/memory/custom metrics, practical workshops tuning Java/Node.js workloads, cost optimization with Spot Instances and Savings Plans, load tests with Locust on red thread project, bottleneck analysis with Grafana, proven 40% productivity gains for DevOps teams.
Deployment of Prometheus/Grafana on EKS with Helm, integration of CloudWatch Container Insights and X-Ray tracing, configuration of EFK for centralized logs with Fluentd/Elasticsearch/Kibana, exercises on custom dashboards and Slack alerts, live troubleshooting of real incidents, correlation of metrics, traces, and logs, deliverable production-ready observatory for critical business high availability.
Setup of GitOps ArgoCD for declarative sync, Jenkins/GitHub Actions pipelines to EKS, exercises on rolling/blue-green canary via Flagger Istio, pre-deploy security scans with SonarQube, migration of legacy workloads to EKS, defense of deployed prod-like red thread project, certifying best practices for 50% delivery acceleration in enterprise.
Target audience
DevOps engineers, cloud architects, Kubernetes admins for enterprise upskilling
Prerequisites
Kubernetes experience (pods, services, deployments), AWS VPC/IAM/EC2, Docker containers
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