Who Should Attend
- Systems administrators and IT managers
- Devops Engineers & Architect
- IT administrators
- Cloud Systems Implementation Engineer or Administrator
- Network Implementation Engineer or Administrator
- Storage Implementation Engineer or Administrator
- Fresher’s
Requirements : No prerequisites
Course Content
Red Hat OpenShift Administration III: Scaling Kubernetes Deployments in the Enterprise
Course description
Plan, Implement and Manage Openshift clusters at scale
Red Hat OpenShift Administration III: Scaling Kubernetes Deployments in the Enterprise (DO380) expands upon the skills required to plan, implement, and manage OpenShift® clusters in the enterprise. You will learn how to support a growing number of stakeholders, applications, and users to achieve large-scale deployments.
This course is based on Red Hat® OpenShift Container Platform 4.10.
Move from Kubernetes to OpenShift
- Demonstrate that OpenShift is Kubernetes by deploying Kubernetes-native applications on OpenShift
Introduce automation on OpenShift
- Automate OpenShift administration tasks using bash scripts and Ansible playbooks.
Manage operators with OpenShift
- Deploy Kubernetes Operators and configure OpenShift cluster operators.
Implement GitOps with Jenkins
- Implement a GitOps workflow using containerized Jenkins to administer an OpenShift cluster.
Configure enterprise authentication
- Integrate OpenShift with enterprise identity providers
Configure trusted TLS certificates
- Configure OpenShift with trusted TLS certificates for external access to cluster services and applications
Configure dedicated node pools
- Configure a subset of the cluster nodes for special workloads.
Configure persistent storage
- Configure storage providers and storage classes to ensure cluster user access to persistent storage
Manage cluster monitoring and metrics
- Configure and manage the OpenShift monitoring stack.
Provision and inspect cluster logging
- Deploy, query, and troubleshoot cluster-wide logging.
Recover failed worker nodes
- Inspect, troubleshoot, and remediate worker nodes in a variety of failure scenarios.
