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We're here to help you find itThe Red Hat OpenShift Installation Lab (DO322) course provides an in-depth understanding of the process and methods for installing Red Hat OpenShift, a leading enterprise Kubernetes platform. This course guides learners through various installation environments including Cloud providers, Virtualized environments, and Bare metal setups without an infrastructure provider.
Learners will gain practical experience through guided exercises and comprehensive reviews, covering everything from Full-stack automation on Cloud providers like AWS to Configuring network services for installations without an infrastructure provider. The course culminates in performing Day 1 and Day 2 operations and replacing Control plane nodes, ensuring that participants can handle real-world OpenShift deployment scenarios.
By completing DO322, individuals will be equipped with the skills needed to confidently install, configure, and manage OpenShift clusters in different environments, making this OpenShift lab an invaluable resource for IT professionals seeking to leverage OpenShift's powerful container orchestration capabilities.
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Classroom Training price is on request
You can request classroom training in any city on any date by Requesting More Information
Certainly! The Red Hat OpenShift Installation Lab (DO322) course is designed for IT professionals who are interested in learning how to install Red Hat OpenShift Container Platform. Prior to undertaking this training, students should have the following minimum prerequisites:
These prerequisites are meant to ensure that participants are prepared for the course content and can fully benefit from the training. With these foundational skills, students will be better equipped to engage with the course material and complete the lab exercises successfully.
The Red Hat OpenShift Installation Lab (DO322) course is designed for IT professionals seeking expertise in deploying OpenShift clusters.
Gain hands-on experience with Red Hat OpenShift's installation processes, from cloud-based to bare-metal environments, ensuring successful deployments and Day 1 & 2 operations.
Red Hat OpenShift is a Kubernetes-based platform that allows developers to build, deploy, and manage containerized applications easily. It provides an integrated development environment for streamlined workflows and supports automation across the software development life cycle. OpenShift enhances developer productivity and promotes innovation by handling operational tasks and allowing more focus on writing code. It also provides advanced security features and supports multiple programming languages, making it versatile for various development needs. OpenShift is widely used in enterprises to manage hybrid and multi-cloud deployments, ensuring applications run consistently across different environments.
Kubernetes is a powerful system used for managing containerized applications across a cluster of machines. It provides tools to deploy applications, scale them as necessary, manage changes to existing containerized applications, and optimize the use of underlying hardware beneath your containers. Kubernetes simplifies container management and orchestration, enabling automatic deployment, scaling, and management of container applications, which effectively helps in achieving higher efficiency and productivity in deploying and managing applications. It is widely used in various environments, including cloud services, supporting seamless, automated, and scalable operations.
Cloud providers are companies that offer network services, infrastructure, or business applications in the cloud. These services are delivered over the internet and allow businesses to use and manage software and hardware managed by the provider. Cloud providers enable businesses to scale resources up or down as needed, effectively managing costs and improving efficiency. This flexibility is crucial for adapting to changing demands without the overhead of maintaining physical servers and data centers. Examples include Amazon Web Services, Microsoft Azure, and Google Cloud, each offering various services suited to different business needs.
Virtualized environments are systems that use software to simulate hardware platforms, allowing multiple virtual machines to run on a single physical machine. Each virtual machine operates as if it's a separate computer, enabling different operating systems and applications to coexist on the same hardware efficiently. This technology maximizes resource utilization and flexibility, reduces costs, and simplifies IT management. Virtualization is foundational in modern IT strategies for enhancing scalability and agility in deploying and managing resources.
A bare metal setup refers to the installation of an operating system or applications directly on a computer's hardware without any underlying software layer such as a virtual machine. This approach can provide higher performance and more efficient use of resources, often used in data centers or for applications that require intensive computation. By running directly on the physical hardware, systems can operate without the overhead that comes with virtualization, leading to faster response times and potentially improved security by reducing the attack surfaces that virtual environments might introduce.
Full-stack automation refers to the comprehensive automation of both the front-end and back-end aspects of an application. This approach integrates various development stages, from databases and servers to user interface and user experience, ensuring smoother, quicker development cycles and deployments. By automating processes like testing, deployment, and infrastructure management, full-stack automation aims to enhance software quality, reduce human errors, and speed up the delivery of software products. This methodology is vital in achieving continuous integration and delivery, enabling organizations to respond rapidly to market changes and user feedback.
Configuring network services involves setting up and managing various network components that allow devices to communicate effectively over a network. This includes defining and implementing protocols, assigning IP addresses, managing routers and switches, and ensuring secure data transmission. Key tasks also involve configuring DNS servers, which translate domain names into IP addresses, and setting up DHCP servers to automatically assign IP addresses to devices on a network. The objective is to ensure reliable network performance, efficient management of network traffic, and the security of data as it moves across the network.
Day 1 operations involve setting up and configuring new software or systems to ensure they are ready for use. This includes installation, initial configuration, and integrations with existing systems. Day 2 operations focus on the ongoing management, monitoring, and optimization of these systems to ensure they continue to run smoothly and efficiently. This phase includes troubleshooting, updates, security management, and scaling to meet demand. Both are crucial for maintaining the health and performance of IT services.
Control plane nodes are critical components in a computing system that manage and maintain the state and configuration of the system. Specifically, these nodes coordinate tasks such as network routing and resource allocation, ensuring that the different parts of the system communicate correctly and operate efficiently. In essence, the control plane acts as the brain of the operation, making decisions that guide the overall system behavior, much like a conductor directing an orchestra to ensure every section works in harmony.
OpenShift clusters are a part of Red Hat's OpenShift platform, which helps developers create and manage containerized applications more efficiently. The platform uses Docker containers and Kubernetes as a management tool to orchestrate these containers. This enables the deployment of applications on a consistent platform across various environments—cloud or on-premise. With OpenShift, developers can streamline development processes, automate many operational tasks, and enhance security. OpenShift clusters thereby offer a scalable and flexible environment that supports continuous integration and continuous deployment (CI/CD) practices, ultimately speeding up the time to market for new applications.
Container orchestration is the automated process of managing, scaling, and maintaining containerized applications across multiple hosts. It helps in deploying the same application across different environments without redesigning it. Orchestration tools like Kubernetes, manage the lifecycles of containers, including provisioning, scaling, networking, and load balancing. This is essential for efficiency and reliability in cloud environments, ensuring that container workloads operate seamlessly and resiliently. In essence, container orchestration simplifies the process of handling containers by automating repetitive tasks, which optimizes the deployment and management of large-scale containerized applications.
The Red Hat OpenShift Installation Lab (DO322) course is designed for IT professionals seeking expertise in deploying OpenShift clusters.
Gain hands-on experience with Red Hat OpenShift's installation processes, from cloud-based to bare-metal environments, ensuring successful deployments and Day 1 & 2 operations.
