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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 GKE - Orchestrating Kubernetes Containers in Production 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 GKE - Orchestrating Kubernetes Containers in Production 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 GKE - Orchestrating Kubernetes Containers in Production training is carried out through:
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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.
Installation and configuration of a GKE cluster via the GCP console and gcloud command line, hands-on with kubectl to deploy your first pods and services, practical exercises on simple enterprise workloads, creation of deployments with replicas and health checks, validation of configurations through manual scalability tests, production of an initial architecture diagram and documentation of setups for immediate team reuse.
Deployment of LoadBalancer and Ingress services on GKE to expose web applications, configuration of networking rules with Network Policies to isolate namespaces, hands-on workshops on internal DNS resolution and load balancing, integration of automated TLS certificates via cert-manager, simulation of real traffic with tools like hey and Apache Bench, development of a secure network for microservices and export of production-ready YAML manifests.
Creation and injection of ConfigMaps and Secrets to manage sensitive configurations in GKE, deployment of StatefulSets for persistent databases with PVC and StorageClasses, exercises on stateful data migration between clusters, use of operators for PostgreSQL or MongoDB on GKE, resilience testing with basic chaos engineering via Chaos Mesh, completion of a full blueprint for enterprise applications requiring reliable persistence.
Implementation of Horizontal Pod Autoscaler and Vertical Pod Autoscaler to dynamically optimize GKE resources, integration of CI/CD pipelines with GitHub Actions and Helm charts for GitOps deployments, workshops on ArgoCD for continuous synchronization, monitoring of CPU/memory metrics with Prometheus adapter, simulation of load spikes to validate autoscaling, delivery of a functional automated pipeline and custom dashboard for proactive production monitoring.
Strengthening GKE security with Istio service mesh for mTLS and OPA Gatekeeper for policies, setup of advanced monitoring via Cloud Operations and Grafana, exercises on troubleshooting with logs and distributed traces, exploration of GKE 2026 new features like AI-driven scaling, full audit of a simulated production cluster, creation of an incident runbook plan, and skill certification via live red thread project deployment.
Target audience
DevOps engineers, cloud administrators, backend developers for advancing skills on GKE in the enterprise
Prerequisites
Mastery of Docker, Kubernetes basics, and Google Cloud Platform
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