Red Hat OpenShift Administration III: Scaling Kubernetes Deployments in the Enterprise (DO380) Course Overview

To ensure a successful learning experience in the Red Hat OpenShift Administration III: Scaling Kubernetes Deployments in the Enterprise (DO380) course, participants should meet the following minimum prerequisites:

• Basic familiarity with container technology, such as Docker, and container orchestration with Kubernetes.
• Completion of the Red Hat OpenShift Administration I (DO280) course or equivalent experience in OpenShift administration, covering core OpenShift concepts, basic application deployment, and management.
• Understanding of enterprise Linux administration, including the use of command-line tools and file editing (e.g., using vim or nano).
• Knowledge of basic networking concepts (e.g., TCP/IP, DNS) and Linux system administration tasks such as managing services and system configuration.
• Experience with basic bash scripting to automate tasks in a Linux environment.
• Familiarity with Ansible for automation is beneficial but not required.

These prerequisites are designed to ensure that learners have the foundational knowledge and skills necessary to grasp the advanced topics covered in the DO380 course. With these competencies, students will be better prepared to engage with the course material and apply their learning to real-world OpenShift and Kubernetes environments.

Target Audience for Red Hat OpenShift Administration III: Scaling Kubernetes Deployments in the Enterprise (DO380)

1. The DO380 course equips IT professionals with advanced skills to scale Kubernetes deployments in enterprise environments using OpenShift.

   
   

2. Target audience for the Red Hat OpenShift Administration III: Scaling Kubernetes Deployments in the Enterprise (DO380) course:

   
   

• DevOps Engineers
• System Administrators
• IT Automation Engineers
• Cloud Infrastructure Engineers
• Site Reliability Engineers (SREs)
• Cloud Architects
• Software Developers with a focus on containerization and orchestration
• OpenShift Administrators
• Kubernetes Operators
• IT Professionals aiming to specialize in containerization and Kubernetes orchestration
• Security Engineers responsible for enterprise authentication and TLS certificate management
• Storage Administrators working with persistent storage for containerized applications
• Network Engineers interested in container networking and OpenShift cluster configurations
• Technical IT Managers overseeing containerization and deployment strategies
• IT Operations staff responsible for monitoring and logging within Kubernetes environments

Learning Objectives - What you will Learn in this Red Hat OpenShift Administration III: Scaling Kubernetes Deployments in the Enterprise (DO380)?

Introduction to Learning Outcomes:

The DO380 course equips students with the advanced skills needed for scaling Kubernetes deployments in an enterprise environment using OpenShift, including automation, operator management, GitOps, and more.

Learning Objectives and Outcomes:

• Understand the congruence between Kubernetes and OpenShift by deploying Kubernetes-native applications within the OpenShift environment.
• Acquire the ability to automate OpenShift tasks using both bash scripts and Ansible playbooks for efficient administration.
• Gain proficiency in deploying and managing Kubernetes Operators and configuring OpenShift cluster operators to maintain a robust infrastructure.
• Implement a GitOps workflow using Jenkins to streamline and automate the administration of OpenShift clusters.
• Learn to integrate OpenShift with enterprise identity providers to configure enterprise-grade authentication systems.
• Configure OpenShift to use trusted TLS certificates, ensuring secure external access to cluster services and applications.
• Master the creation of dedicated node pools with custom configurations for specialized workload support in OpenShift.
• Develop the skills to configure persistent storage solutions, including storage providers and storage classes, for consistent user access.
• Effectively configure and manage the OpenShift monitoring stack to keep track of cluster health and metrics.
• Deploy and manage cluster-wide logging, enabling the ability to query and troubleshoot logs to maintain cluster integrity and performance.
• Troubleshoot and recover from worker node failures, enhancing the ability to maintain cluster reliability and uptime in various scenarios.