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55.730 resultaten

Automate and Manage Red Hat OpenShift Virtualization with Ansible (DO336) - RHLS-Course [DO336LS]

OVERVIEW Learn how to use Red Hat Ansible Automation Platform to automate the migration and management of virtual machines in Red Hat OpenShift Virtualization. Automate and Manage Red Hat OpenShift Virtualization with Ansible (DO336) is designed for virtual machine administrators interested in automating migration and management tasks of virtual machines in OpenShift Virtualization by using the Ansible Automation Platform operator. This course provides the following information and skills: - An introduction to fundamental concepts of Ansible and Ansible Automation Platform - Skills to deploy the Ansible Automation Platform operator, automation controller, and private automation hub instance  in a Red Hat OpenShift cluster - Strategies to migrate virtual machines from another hypervisor to OpenShift Virtualization by using the migration toolkit for virtualization operator and Ansible Automation Platform - Skills to automate Day-2 tasks that help manage the entire VM lifecycle, such as provisioning virtual machines and supporting Kubernetes resources, managing compute resources and network devices, and installing software packages. Following course completion, you will receive a 45-day extended access to hands-on labs for any course that includes a virtual environment. Note: This course is offered as a 3 day in person class, a 4 day virtual class or is self-paced. Durations may vary based on the delivery. For full course details, scheduling, and pricing, select your location then “get started” on the right hand menu. OBJECTIVES Introduction to the fundamentals concepts, use cases, and architecture of Ansible and Ansible Automation Platform Deploying and configuring the Ansible Automation Platform operator, automation controller, and private automation hub in a Red Hat OpenShift cluster Migrating virtual machines from another hypervisor to Red Hat OpenShift Virtualization by using the migration toolkit for virtualization operator and Ansible Automation Platform Automating the creation and management of virtual machines in a Red Hat OpenShift Virtualization cluster by using the Ansible Automation Platform operator CONTENT Introducing Red Hat Ansible Automation Platform Explain the need for automation, fundamental concepts of Ansible, and the architecture and use cases for Ansible and the Ansible Automation Platform Operator in a Red Hat OpenShift cluster. Deploying and Configuring the Red Hat Ansible Automation Platform Operator Deploy and configure the Red Hat Ansible Automation Platform Operator, automation controller, automation hub operator instance in a Red Hat OpenShift Container Platform cluster. Migrating Virtual Machines to Red Hat OpenShift Virtualization with Ansible Automation Platform Migrate virtual machines from a compatible hypervisor to Red Hat OpenShift Virtualization by using Ansible Automation Platform and the migration toolkit for virtualization (MTV) operator. Automating Day-2 Operations for Virtual Machines in Red Hat OpenShift Virtualization with Red Hat Ansible Automation Platform Automate the creation and management of virtual machines in a Red Hat OpenShift Virtualization cluster by using the Ansible Automation Platform operator.
€2.805
E-Learning

Migrating Virtual Machines to Red Hat OpenShift Virtualization with Ansible Automation Platform (DO346) - RHLS-Course [DO346LS]

OVERVIEW Learn the essential skills to migrate virtual machines to Red Hat OpenShift Virtualization. Migrating Virtual Machines to Red Hat OpenShift Virtualization with Ansible Automation Platform (DO346) provides the essential knowledge to migrate virtual machines to Red Hat OpenShift Virtualization by using carefully selected content from Managing Virtual Machines in Red Hat OpenShift Virtualization (DO316) and Automate and Manage Red Hat OpenShift Virtualization with Ansible (DO336). This course provides a shorter learning path for IT professionals to migrate their virtualized workloads to OpenShift Virtualization.  This course provides the following information and skills: - An introduction to key OpenShift and Kubernetes concepts, such as nodes, pods, and operators - Skills to deploy the OpenShift Virtualization operator - Skills to configure networking and storage for virtual machines - Strategies to migrate virtual machines from another hypervisor to OpenShift Virtualization by using the migration toolkit for virtualization operator and Ansible Automation Platform This course is based on OpenShift Container Platform 4.16, OpenShift Virtualization 4.16, and Ansible Automation Platform 2.4. Note: This course is offered as a 2-day in-person class, a 3-day virtual class, or is self-paced. Durations might vary based on the delivery. For full course details, scheduling, and pricing, select your location, and then “get started” on the right menu. OBJECTIVES Deploying the OpenShift Virtualization operator in an existing Red Hat OpenShift environment Configuring node networking to connect virtual machines and nodes to networks outside the cluster by using Multus CNI plug-ins and the NMState operator Managing storage and disks for virtual machines in Red Hat OpenShift Migrating virtual machines from another hypervisor to Red Hat OpenShift Virtualization by using the migration toolkit for virtualization operator and Ansible Automation Platform CONTENT Red Hat OpenShift Virtualization Distinguish Red Hat OpenShift Virtualization from container technologies and from traditional virtual machine technologies. Describe the features and use cases of OpenShift Virtualization. Deploy the OpenShift Virtualization operator in an existing Red Hat OpenShift environment. Configuring Networking for Virtual Machines Configure standard Kubernetes network objects for virtual machines and virtual machine-backed applications. Configure node networking to connect virtual machines and nodes to networks outside the cluster by using Multus CNI plug-ins and the NMState operator. Configuring Storage for Virtual Machines Manage storage and disks for virtual machines in Red Hat OpenShift by using Kubernetes. Migrating Virtual Machines to Red Hat OpenShift Virtualization Migrate virtual machines from a compatible hypervisor to Red Hat OpenShift Virtualization by using the migration toolkit for virtualization (MTV) operator and the Ansible Automation Platform (AAP) operator.
€1.870
E-Learning

Enterprise Kubernetes Storage with Red Hat OpenShift Data Foundation (DO370) - RHLS-Course [DO370LS]

OVERVIEW Teaches the essential skills required to design, implement, and manage a Red Hat OpenShift Data Foundation cluster and perform day-to-day Kubernetes storage management tasks. Traditional storage options available to Kubernetes administrators are limited and lack flexibility and/or versatility. Red Hat OpenShift Data Foundation provides real advantages, even when it is backed by cloud storage such as AWS EBS and sophisticated on-prem legacy storage like SAN arrays. Many companies rely on third-party solutions to manage backup and disaster recovery in production. However, proper planning to implement these solutions requires knowledge of the Kubernetes CSI and OAPD APIs. This course walks the student through the recommended steps of configuring and managing storage services for container and Kubernetes services.   OBJECTIVES Deploy Red Hat OpenShift Data Foundation in internal and external mode. Provision non-shareable block storage to applications like databases. Provision shareable block storage to applications like virtual machines. Provision shareable file storage to such applications as CI/CD pipelines and AI/ML. Provision shareable object storage to applications, such as AI/ML and media streaming. Provision storage for Red Hat OpenShift cluster services, such as monitoring and registry. Monitor and expand storage capacity and performance Attach and detach storage from an application for backup and archiving. Create and access volume snapshots and clones. Troubleshoot internal Ceph components of Red Hat OpenShift Data Foundation. Perform backup and restore operations using the OADP API. CONTENT Describing Red Hat OpenShift Data Foundation deployment architectures Deploying OpenShift Data Foundation on Red Hat OpenShift using Internal, Converged Mode Configuring Red hat OpenShift Cluster Services to use OpenShift Data Foundation Configuring application workloads to use OpenShift Data Foundation block and file storage Monitoring and expanding OpenShift Data Foundation block and file storage capacity Troubleshooting Ceph components from OpenShift Data Foundation Expanding OpenShift Data Foundation block and file storage volumes Performing backup and restore of OpenShift Data Foundation block and file volumes Configuring application workloads to use OpenShift Data Foundation object storage Monitoring and expanding OpenShift Data Foundation object storage capacity Performing backup and restore of OpenShift Data Foundation object buckets Deploying OpenShift Data Foundation on Red Hat OpenShift using external mode  
€3.740
E-Learning

Red Hat Cloud-native Microservices Development with Quarkus (DO378) - RHLS-Course [DO378LS]

OVERVIEW Develop microservice-based applications with Quarkus and OpenShift. Enterprises are moving to cloud-native microservices architectures. Quarkus is an exciting new technology that brings the reliability, familiarity, and maturity of Java Enterprise with a container-ready lightning fast deployment time. Red Hat Cloud-native Microservices Development with Quarkus (DO378) emphasizes learning architectural principles and implementing microservices based on the Red Hat Build of Quarkus and Red Hat OpenShift. You will build on application development fundamentals and focus on how to develop, monitor, test, and deploy modern microservices applications. This course is based on OpenShift 4.14, and Red Hat Build of Quarkus 3.8. Following course completion, you will receive a 45-day extended access to hands-on labs for any course that includes a virtual environment. Note: This course is offered as a five day virtual class or self-paced. Durations may vary based on the delivery. For full course details, scheduling, and pricing, select your location then “get started” on the right hand menu. OBJECTIVES Deploy microservice applications on Red Hat® OpenShift Container Platform. Build a microservice application with Quarkus. Implement unit and integration tests for microservices. Use the config specification to inject data into a microservice. Secure a microservice using OAuth. Implement health checks, tracing and monitoring of microservices. Build reactive and asynchronous applications using Quarkus. CONTENT
€3.740
E-Learning

Red Hat OpenShift Administration III: Scaling Deployments in the Enterprise (DO380) - RHLS-Course [DO380LS]

OVERVIEW 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 configure and manage OpenShift clusters at scale to address increasing and special demands from applications and ensure reliability, performance, and availability. This course builds upon the essential skills required to configure and manage an OpenShift 4.x cluster, teaching the enhanced skills needed to operate production environments at scale. This course is based on Red Hat® OpenShift Container Platform 4.14. Note: This course is offered as a five day virtual class or self-paced. Updated July2025 OBJECTIVES After this course participants should be able to: Manage OpenShift cluster operators and add operators. Implement GitOps workflows using OpenShift GitOps operator. Integrate OpenShift with enterprise authentication. Query and visualize cluster-wide logs, metrics, and alerts. Backup and restore application settings and data with OpenShift APIs for Data Protection (OADP). Manage machine pools and machine configurations. CONTENT Authentication and Identity Management Configure OpenShift clusters to authenticate by using LDAP and OIDC enterprise identity systems and to recognize groups that those systems define. Backup, Restore, and Migration of Applications with OADP Backup and restore application settings and data with OpenShift APIs for Data Protection (OADP). Cluster Partitioning Configure a subset of cluster nodes to be dedicated to a type of workload. Pod Scheduling Configure workloads to run on a dedicated set of cluster nodes and prevent other workloads from using those cluster nodes. OpenShift GitOps Deploy OpenShift GitOps for managing clusters and applications. OpenShift Monitoring Troubleshoot performance and availability issues with applications and clusters. OpenShift Logging Deploy OpenShift logging and query log entries from workloads and cluster nodes.
€3.740
E-Learning

Microsoft Windows Automation with Red Hat Ansible Automation Platform (DO417) - RHLS-Course [DO417LS]

OVERVIEW Introduction to performing core system administration tasks by creating and running automation for a Windows Server using Red Hat Ansible Automation Platform. Microsoft Windows Automation with Red Hat Ansible Automation Platform (DO417) is designed for System administrators, DevOps engineers, and developers who want to learn how to automate the deployment and management of Microsoft Windows servers and applications hosted on them using Red Hat Ansible Automation Platform. Students learn how to create and run automation for Windows Server using Red Hat Ansible Automation Platform, in order to perform core system administration tasks Students can use automation to perform their tasks consistently, repeatably, and automatically, saving time and avoiding errors that might be caused by performing these tasks manually This course is based on Red Hat® Ansible Automation Platform 2.4. Note: DO417 is an entry-level Ansible course and does not require or provide Linux knowledge Following course completion, hands-on lab access will remain available for up to 45 days for any live course that includes a virtual environment.This course is offered as a four day in classroom, a five day virtual class or self-paced.  Updated : Nov2025 OBJECTIVES After this course participants should be able to: Write Ansible Playbooks that automate tasks on Microsoft Windows servers Manage Ansible Playbooks stored in a Git-based version control system Run Ansible Playbooks by using the automation controller web-based UI Manage and ensure software and Windows features are installed and up-to-date using Ansible automation Write efficient tasks in Ansible Playbooks by using loops, conditional tests, and handlers Write Ansible Playbooks that ensure plays can recover when tasks fail Deploy, modify, and manage files with Ansible on your Windows servers, use completed files and Jinja2 templates Manage local and domain users, manage Active Directory domains, and generate dynamic inventory of managed hosts in automation controller based on domain membership Automate specific, common Windows Server administration tasks Reuse existing automation code by using Ansible Content Collections, Ansible Roles, and Ansible integration with PowerShell Desired State Configuration (DSC) resources CONTENT Introducing Red Hat Ansible Automation Platform Describe the fundamental concepts of Ansible and how it is used, and install development tools from Red Hat Ansible Automation Platform Preparing for Ansible Operations Prepare Microsoft Windows hosts for Ansible automation and automation controller to run automation on those hosts Implementing Ansible Playbooks Write a simple playbook to automate tasks on multiple Microsoft Windows-based hosts, and then run the playbook with automation controller Managing Variables and Facts Write playbooks that use variables to simplify management of the playbook and facts to reference information about managed hosts Installing and Configuring Software Install, manage, and ensure software is up to date using Ansible Playbooks.Install, manage, and ensure software is up to date using Ansible Playbooks Implementing Task Control Manage task execution using loops, conditional tests, and handlers, and recover when tasks fail Deploying Files to Managed Hosts Deploy, modify, and manage files on your managed hosts Reusing Code with Ansible Roles and Ansible Content Collections Write playbooks that are optimized for larger and more complex projects and that reuse existing automation code Interacting with Users and Domains Manage local and domain users and Active Directory domains on managed hosts, and generate a dynamic inventory of managed hosts in automation controller based on domain membership Automating Windows Administration Tasks Automate common Windows Server administration tasks Comprehensive Review Review tasks from Microsoft Windows Automation with Red Hat Ansible Automation Platform
€3.740
E-Learning

Securing Kubernetes Clusters with Red Hat Advanced Cluster Security (DO430) - RHLS-Course [DO430LS]

OVERVIEW Address security challenges by applying Red Hat Advanced Cluster Security for Kubernetes in an OpenShift cluster environment. Customers want to learn how Red Hat Advanced Cluster Security for Kubernetes (RHACS) can help them solve their security challenges. However, their security teams might lack experience with Kubernetes and OpenShift, and so they have challenges with implementation.  In particular, their security teams have several needs: - Integrate RHACS with DevOps practices and know how to use it to automate DevSecOps, to enable their teams to operationalize and secure their supply chain, infrastructure, and workloads - Assess compliance based on industry-standard benchmarks and get remediation guidance - Apply vulnerability management, policy enforcement, and network segmentation to secure their workloads RHACS customers might already be using external image registries and Security Information and Event Management (SIEM) tools. They need to integrate RHACS with their existing set of external components to achieve their security goals. Following course completion, you will receive a 45-day extended access to hands-on labs for any course that includes a virtual environment. Note: This course is offered as a 3-day in-person class, a 4-day virtual class, or is self-paced. Durations might vary based on the delivery. For full course details, scheduling, and pricing, select your location and then “get started” from the right menu. OBJECTIVES Describe and implement the RHACS architecture and its components, follow recommended practices for its installation, and troubleshoot common installation issues Interpret vulnerability scanning results, generate vulnerability reports, and evaluate risks to prioritize your security actions Implement and enforce RHACS policies across all stages of policy enforcement to secure the CI/CD pipeline and to protect the software supply chain Identify and close security gaps in network policies by using Network Graph and apply the generated network policies in a CI/CD pipeline Run in-built compliance scans, and install and run the compliance operator to determine cluster compliance with security policies and standards and to produce reports and evidence of compliance Integrate RHACS with external components to provide additional functions, which include centralized alert notification, backup and restore, and identity and permission management CONTENT Installing Red Hat Advanced Cluster Security for Kubernetes Describe and implement the RHACS architecture and its components, follow recommended practices for its installation, and troubleshoot common installation issues. Vulnerability Management with Red Hat Advanced Cluster Security for Kubernetes Interpret vulnerability scanning results, generate vulnerability reports, and evaluate risks to prioritize your security actions. Policy Management with Red Hat Advanced Cluster Security for Kubernetes Implement and enforce RHACS policies across all stages of policy enforcement to secure the CI/CD pipeline and to protect the software supply chain. Network Segmentation with Red Hat Advanced Cluster Security for Kubernetes Identify and close security gaps in network policies by using Network Graph and apply the generated network policies in a CI/CD pipeline. Manage Compliance with Industry Standards with Red Hat Advanced Cluster Security for Kubernetes Run in-built compliance scans, and install and run the compliance operator to determine cluster compliance with security policies and standards and to produce reports and evidence of compliance. Integrate External Components with Red Hat Advanced Cluster Security for Kubernetes Integrate RHACS with external components to provide additional functions, which include centralized alert notification, backup and restore, and identity and permission management.
€2.805
E-Learning

Multicluster Management with Red Hat Advanced Cluster Management for Kubernetes (DO432) - RHLS-Course [DO432LS]

OVERVIEW Address challenges with management, compliance, and productivity of a multicluster Kubernetes environment and its applications by using the capabilities of Red Hat Advanced Cluster Management for Kubernetes. Multicluster Management with Red Hat Advanced Cluster Management for Kubernetes (RHACM) teaches the required skills to manage a fleet of containerized applications and Kubernetes clusters, by automating compliance with security, governance, and other organization policies, and by implementing GitOps practices. Note: This course is offered as a 3-day in-person class, a 4-day virtual class, or self-paced. Durations might vary based on the delivery. For full course details, scheduling, and pricing, select your location and then select “get started” on the right menu. Following course completion, hands-on lab access will remain available for up to 45 days for any live course that includes a virtual environment. OBJECTIVES Describe and implement the RHACM architecture and its components, and follow recommended practices for its installation. Import and manage a cluster by using the RHACM web console, configure user access to clusters, and troubleshoot common import issues. Deploy and manage policies in a multicluster environment by using RHACM governance. Monitor a fleet of managed clusters and troubleshoot performance and availability issues by using RHACM observability components. Deploy and manage applications in a multicluster environment by using RHACM and GitOps. Deploy and manage virtual machines in a multicluster environment by using RHACM and GitOps. CONTENT Installing Red Hat Advanced Cluster Management for Kubernetes Describe and implement the RHACM architecture and its components, and follow recommended practices for its installation. Managing Clusters by Using Red Hat Advanced Cluster Management for Kubernetes Import and manage a cluster by using the RHACM web console, configure user access to clusters, and troubleshoot common import issues. Deploying and Managing Policies for Multiple Clusters with Red Hat Advanced Cluster Management for Kubernetes Deploy and manage policies in a multicluster environment by using RHACM governance. Enabling and Customizing the Red Hat Advanced Cluster Management for Kubernetes Observability Stack Monitor a fleet of managed clusters and troubleshoot performance and availability issues by using RHACM observability components. Managing the Multicluster Application Lifecycle by Using GitOps Practices and Red Hat Advanced Cluster Management for Kubernetes Deploy and manage applications in a multicluster environment by using RHACM and GitOps. Managing Virtual Machines for Multiple Clusters with Red Hat Advanced Cluster Management for Kubernetes Deploy and manage virtual machines in a multicluster environment by using RHACM and GitOps.
€2.805
E-Learning

Network Automation with Red Hat Ansible Automation Platform (AAP 2.2) (DO457) - RHLS-Course [DO457LS]

OVERVIEW Configure and manage network infrastructure using Red Hat Ansible Automation Platform. Network Automation with Red Hat Ansible Automation Platform (DO457) is designed for network administrators or infrastructure automation engineers who want to use network automation to centrally manage the switches, routers, and other devices in the organization's network infrastructure. Learn how to use Red Hat Ansible Automation Platform to remotely automate the configuration of network devices, test and validate the current network state, and perform compliance checks to detect and correct configuration drift.   OBJECTIVES Prepare a development environment for Ansible network automation Write and troubleshoot effective Ansible Playbooks for network automation Gather information about network infrastructure configuration for infrastructure awareness and configuration backup Automate specific network administration use cases, including configuration of routers and switches, ports, VLANs, SNMP monitoring, and routing protocols Use Ansible Playbooks to manage devices from various hardware vendors, including Cisco, Juniper, and Arista Centrally manage Ansible content in Git and run it centrally with automation controller Reuse existing, tested network automation code with Ansible Roles, Ansible Content Collections, and Ansible validated content CONTENT Introducing Red Hat Ansible Automation Platform Describe the fundamental concepts of Ansible and how it is used, and install development tools from Red Hat Ansible Automation Platform Implementing an Ansible Playbook Create an inventory of managed nodes, write a simple Ansible Playbook, and run the playbook to automate tasks on those nodes Managing and Running Playbooks Manage automation code in version control and run Ansible Playbooks from a centrally managed automation controller Managing Variables and Facts Write playbooks that use variables to simplify management of the playbook and facts to reference information about managed nodes Implementing Task Control Manage task control and task errors in Ansible Playbooks Simplifying Playbooks with Roles and Ansible Content Collections Use Ansible Roles and Ansible Content Collections to develop playbooks more quickly and to reuse Ansible code Automating Network Automation Tasks Automate common network administration tasks, discussing recommended practices and approaches to cross-vendor automation Comprehensive Review Demonstrate skills learned in this course by installing, optimizing, and configuring Ansible for the management of network devices and infrastructure  
€3.740
E-Learning

Red Hat Enterprise Linux Diagnostics and Troubleshooting (RH342) - RHLS-Course [RH342LS]

OVERVIEW Students will learn how to apply the scientific method to a structured form of troubleshooting. This approach is then used troubleshooting various types of problems, including boot issues, hardware issues, storage issues, RPM issues, network issues, third-party application issues, security issues, and kernel issues. At the end of the course students can complete various comprehensive review labs to test their skills. OBJECTIVES - Use the scientific method to approach troubleshooting - Troubleshoot boot issues - Troubleshoot security issues - Troubleshoot storage issues - Troubleshoot network issues CONTENT Introduction to troubleshooting Describe a generalized strategy for troubleshooting. Take proactive steps to prevent small issues Prevent small issues from becoming large problems by employing proactive system administration techniques. Troubleshoot boot issues Identify and resolve issues that can affect a system's ability to boot. Identify hardware issues Identify hardware problems that can affect a system’s ability to operate. Troubleshoot storage issues Identify and fix issues related to storage. Troubleshoot RPM issues Identify and fix problems in, and using, the package management subsystem. Troubleshoot network issues Identify and resolve network connectivity issues. Troubleshoot application issues Debug application issues. Deal with security issues Identify and fix issues related to security subsystems. Troubleshoot kernel issues Identify kernel issues and assist Red Hat Support in resolving kernel issues. Red Hat Enterprise Linux Diagnostics and Troubleshooting comprehensive review Practice and demonstrate knowledge and skills learned in Red Hat Enterprise Linux Diagnostics and Troubleshooting. Note: Course outline is subject to change with technology advances and as the nature of the underlying job evolves. For questions or confirmation on a specific objective or topic, please contact us.
€3.740
E-Learning