DO381 Red Hat OpenShift Administration III: Scaling Deployments in the Enterprise with Exam Course Overview

DO381 Red Hat OpenShift Administration III: Scaling Deployments in the Enterprise with Exam Course Overview

Red Hat OpenShift Administration III and exam (DO381) expands upon the skills required to plan, implement, and manage OpenShift® clusters in the enterprise. You will learn how to configure and manage OpenShift clusters at scale to address increasing and special demands from applications and ensure reliability, performance, and availability.

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Course Prerequisites

Prerequisites for DO381: Red Hat OpenShift Administration III: Scaling Deployments in the Enterprise with Exam

To ensure you are well-prepared for the DO381 course, you should have the following minimum required knowledge and skills:


  • Complete Red Hat OpenShift Administration II: Operating a Production Kubernetes Cluster (DO280): This includes becoming a Red Hat Certified Specialist in OpenShift Administration.
  • Complete Red Hat System Administration II (RH134): This includes becoming a Red Hat Certified System Administrator.
  • Recommended but not required: It's beneficial to be a Red Hat Certified Systems Engineer or a Red Hat Certified Specialist in Ansible Automation. Having basic knowledge about writing and running Ansible playbooks is ideal.

These prerequisites help ensure that you have the foundational skills needed to effectively plan, implement, and manage OpenShift clusters at scale.


Target Audience for DO381 Red Hat OpenShift Administration III: Scaling Deployments in the Enterprise with Exam

Introduction:
The DO381 Red Hat OpenShift Administration III course empowers IT professionals to scale and manage OpenShift clusters efficiently, ensuring high performance, reliability, and availability.


  • OpenShift Administrators
  • System Administrators
  • DevOps Engineers
  • IT Operations Managers
  • Cloud Infrastructure Engineers
  • Kubernetes Administrators
  • Site Reliability Engineers (SREs)
  • Technical Architects
  • Senior IT Technicians
  • IT Consultants specializing in Red Hat Technologies
  • Network Engineers with focus on cloud and container platforms
  • Developers with knowledge in cloud-native application deployment
  • IT Professionals aiming to get Red Hat Certified Specialist in Scaling OpenShift Deployments


Learning Objectives - What you will Learn in this DO381 Red Hat OpenShift Administration III: Scaling Deployments in the Enterprise with Exam?

Introduction

The DO381 Red Hat OpenShift Administration III: Scaling Deployments in the Enterprise with Exam course aims to equip learners with the advanced skills necessary to configure and manage OpenShift clusters at scale, ensuring performance, reliability, and availability of applications.

Learning Objectives and Outcomes

  • Authentication and Identity Management: Configure OpenShift clusters to authenticate using LDAP and OIDC enterprise identity systems, and recognize groups defined by these systems.
  • Backup, Restore, and Migration of Applications with OADP: Utilize OpenShift APIs for Data Protection (OADP) to backup and restore application settings and data.
  • Cluster Partitioning: Configure specific cluster nodes to be dedicated to particular types of workloads.
  • Pod Scheduling: Set up workloads to run on a designated set of cluster nodes and restrict other workloads from using these nodes.
  • OpenShift GitOps: Deploy OpenShift GitOps for managing clusters and applications using GitOps practices.
  • OpenShift Monitoring: Troubleshoot performance and availability issues related to applications and clusters.
  • OpenShift Logging: Deploy OpenShift logging and query log entries from workloads and cluster nodes.

Technical Topic Explanation

Authentication and identity management

Authentication and identity management are crucial for verifying user identities and controlling access within a system. Authentication is the process of validating credentials, such as a username and password, to prove a user’s identity. Identity management involves the administration of user roles, ensuring that individuals have the appropriate access to organizational resources. Together, they protect systems by ensuring only authorized users can access sensitive information and functionality, bolstering system security and integrity. These practices are essential in maintaining operational security across all levels of technology infrastructure.

Backup and restore using OADP

Backup and restore using OADP (OpenShift APIs for Data Protection) in OpenShift allows you to securely backup and restore your cluster's resources and data. OADP utilizes container-native tools and external backup providers to safeguard applications. It supports diverse backup strategies, ensuring data integrity and minimizing downtime during a recovery incident. For professionals looking to deepen their expertise, OpenShift Administration Training and OpenShift Administration Certification programs offer comprehensive knowledge on managing backup procedures efficiently. This ensures your OpenShift cluster remains resilient against data loss, aligning with industry best practices.

Cluster partitioning

Cluster partitioning in computing involves dividing a set of cluster nodes into smaller, manageable groups or sub-clusters. Each sub-cluster can then handle different tasks or applications independently, improving performance and fault tolerance. This method helps in efficiently using resources and ensuring that the failure of one partition does not impact the others. Moreover, it facilitates easier maintenance and upgrades without disrupting the entire cluster system. This technique is particularly useful in large-scale environments requiring high availability and seamless operation across varied workloads.

Monitoring

Monitoring in the technology context refers to the continuous observation and tracking of a system’s performance and health. By using specific tools and applications, professionals can watch for any issues, trends, or failures in digital environments. This proactive approach ensures systems are functioning optimally and can help predict and prevent downtimes, leading to more stable and reliable operations. Monitoring is crucial in any IT setup to maintain service quality and efficiency, whether it’s for network systems, databases, or cloud operations like those managed with OpenShift.

Pod scheduling

Pod scheduling in OpenShift involves the strategic assignment of pods (the smallest deployable units in Kubernetes that contain your application) to nodes (physical or virtual machines). It ensures that pods have the appropriate resources and meet constraints like specific hardware needs. OpenShift's flexible scheduling capabilities are crucial for efficient application performance and resource utilization. Mastering pod scheduling, often part of OpenShift administration training or OpenShift administration certification, enhances your ability to optimize operations and maintain high availability of services within your clusters.

OpenShift GitOps

OpenShift GitOps is a practice that applies the principles of GitOps to manage OpenShift clusters, automating their configuration and deployment using tools like Argo CD. This method revolves around using Git repositories as the single source of truth for system descriptions, which enhances tracking, auditing, and reproducibility. Opting for OpenShift GitOps can simplify cluster management and promote consistency across environments. Engaging in OpenShift administration training or seeking an OpenShift administration certification enhances understanding and proficiency in maintaining clusters efficiently, potentially through automated pipelines. This not only streamlines operations but also aligns with modern DevOps practices.

Logging

Logging in technology involves capturing data about the operation of applications or systems to a record called a log. This record can include errors, resource usage, or user activities. Effective logging helps in debugging issues, monitoring system health, and ensuring security compliance. It’s essential for troubleshooting problems and optimizing performance. By analyzing logs, administrators can gain insights into how a system is being used and how it can be improved. Logging is a fundamental aspect of IT governance and a critical tool for ongoing system maintenance and enhancement.

OpenShift clusters

OpenShift clusters are a set of technologies that allow businesses to deploy, manage, and scale applications in a cloud environment. OpenShift, primarily developed by Red Hat, offers a containerization software solution using Docker containers and Kubernetes orchestration. It streamlines the process of developing, testing, and maintaining applications across various environments. Gaining expertise in OpenShift can be enhanced through targeted **OpenShift training** and obtaining **OpenShift certification**. For those interested in the managerial aspects, **OpenShift administration training** and **OpenShift administration certification** are crucial to effectively manage OpenShift environments.

Target Audience for DO381 Red Hat OpenShift Administration III: Scaling Deployments in the Enterprise with Exam

Introduction:
The DO381 Red Hat OpenShift Administration III course empowers IT professionals to scale and manage OpenShift clusters efficiently, ensuring high performance, reliability, and availability.


  • OpenShift Administrators
  • System Administrators
  • DevOps Engineers
  • IT Operations Managers
  • Cloud Infrastructure Engineers
  • Kubernetes Administrators
  • Site Reliability Engineers (SREs)
  • Technical Architects
  • Senior IT Technicians
  • IT Consultants specializing in Red Hat Technologies
  • Network Engineers with focus on cloud and container platforms
  • Developers with knowledge in cloud-native application deployment
  • IT Professionals aiming to get Red Hat Certified Specialist in Scaling OpenShift Deployments


Learning Objectives - What you will Learn in this DO381 Red Hat OpenShift Administration III: Scaling Deployments in the Enterprise with Exam?

Introduction

The DO381 Red Hat OpenShift Administration III: Scaling Deployments in the Enterprise with Exam course aims to equip learners with the advanced skills necessary to configure and manage OpenShift clusters at scale, ensuring performance, reliability, and availability of applications.

Learning Objectives and Outcomes

  • Authentication and Identity Management: Configure OpenShift clusters to authenticate using LDAP and OIDC enterprise identity systems, and recognize groups defined by these systems.
  • Backup, Restore, and Migration of Applications with OADP: Utilize OpenShift APIs for Data Protection (OADP) to backup and restore application settings and data.
  • Cluster Partitioning: Configure specific cluster nodes to be dedicated to particular types of workloads.
  • Pod Scheduling: Set up workloads to run on a designated set of cluster nodes and restrict other workloads from using these nodes.
  • OpenShift GitOps: Deploy OpenShift GitOps for managing clusters and applications using GitOps practices.
  • OpenShift Monitoring: Troubleshoot performance and availability issues related to applications and clusters.
  • OpenShift Logging: Deploy OpenShift logging and query log entries from workloads and cluster nodes.

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