RKE201V2SUSUSESU-RKE201V22<p>Attendees will be taught the following concepts and skills:</p> <ul> <li>Install and configure RKE2 clusters using server and agent nodes</li><li>Manage Kubernetes workloads, including Deployments, StatefulSets, DaemonSets, and batch processing with Jobs and CronJobs</li><li>Configure persistent storage using Volumes, PersistentVolumes, and the Container Storage Interface (CSI)</li><li>Implement cluster networking and external access via Services, Ingress, and the Gateway API</li><li>Secure the cluster environment through multi-layered API access control, RBAC, and NetworkPolicies</li><li>Optimize resource usage by defining Quality of Service (QoS) classes, ResourceQuotas, and LimitRanges</li><li>Execute maintenance and operations, including horizontal and vertical scaling, cluster upgrades, and etcd backups</li><li>Manage complex applications using Helm charts and extend the Kubernetes API with CRDs and Operators</li></ul><p>Students should have a basic understanding of containerization concepts and be comfortable working within a Linux command-line environment. Prior experience with virtualization and general networking fundamentals is highly recommended.</p><p>This course is primarily designed for system administrators, DevOps engineers, and cloud or platform engineers who need a technical introduction to Kubernetes administration and SUSE&rsquo;s specific distributions. It is also suitable for those responsible for managing production-grade container orchestration environments.</p><h5>Section 1: Course Overview</h5><h5>Section 2: Introduction to Containers and Container Orchestration</h5><ul> <li>Container Fundamentals</li><li>The Need for Orchestration</li><li>Introduction to Kubernetes</li></ul><h5>Section 3: Kubernetes Distributions by SUSE</h5><ul> <li>Understand the SUSE Kubernetes Distributions</li><li>Install RKE2</li></ul><h5>Section 4: Basic Kubernetes Objects and Commands</h5><ul> <li>Core Kubernetes Objects and Their Relationships</li><li>Create Kubernetes Objects</li><li>Retrieve Information about Kubernetes Objects</li><li>Command-line Efficiency Tips and Tricks</li></ul><h5>Section 5: Running Workloads in Kubernetes</h5><ul> <li>Namespaces to Group Kubernetes objects</li><li>Workloads and the Relationship with Pods</li><li>ReplicaSets and Deployments for Stateless Applications</li><li>StatefulSets for Stateful Applications</li><li>Batch Processes using Jobs and CronJobs</li></ul><h5>Section 6: Configuration for Kubernetes Objects</h5><ul> <li>Configuration Decoupling</li><li>Managing Configurations: ConfigMaps</li><li>Managing Sensitive Information: Secrets</li><li>Security Considerations</li></ul><h5>Section 7: Scheduling in Kubernetes</h5><ul> <li>The Scheduling Process</li><li>Basic Node Selection</li><li>Affinity and Anti-Affinity Rules</li><li>Taints and Tolerations</li></ul><h5>Section 8: Resource Usage Control and Quality of Service (QoS)</h5><ul> <li>Resources in Kubernetes</li><li>Resources, Scheduling, and Quality of Service (QoS)</li><li>Controlling Defaults and Boundaries</li></ul><h5>Section 9: Scaling in Kubernetes</h5><ul> <li>Horizontal Workload Scaling in Kubernetes</li><li>Vertical Workload Scaling in Kubernetes</li><li>Scale an RKE2 Kubernetes Cluster</li></ul><h5>Section 10: Cluster Networking and Services in Kubernetes</h5><ul> <li>The Kubernetes Networking Model</li><li>Services in Kubernetes</li><li>External Service Exposure (Ingress and Gateway API)</li></ul><h5>Section 11: Storage in Kubernetes</h5><ul> <li>The Need for Persistent Storage</li><li>Storage Abstractions</li><li>Provision Storage</li><li>The Container Storage Interface (CSI)</li></ul><h5>Section 12: Security in Kubernetes</h5><ul> <li>Kubernetes Security: A Multi-layered approach</li><li>API Access Control</li><li>Network Segmentation with NetworkPolicies</li><li>Other Kubernetes Key Security Features</li></ul><h5>Section 13: Monitoring and Troubleshooting in Kubernetes</h5><ul> <li>Troubleshooting and Monitoring Tools</li><li>Diagnosing Application Issues</li><li>Cluster Issues</li><li>Networking and Service Troubleshooting</li></ul><h5>Section 14: Cluster Operations in Kubernetes</h5><ul> <li>Node Lifecycle Management</li><li>Cluster Upgrades</li><li>Backups and Disaster Recovery</li></ul><h5>Section 15: Kubernetes Application Management with Helm</h5><ul> <li>Helm Charts and Repositories</li><li>Release management (Install, Upgrade, Rollback)</li></ul><h5>Section 16: Extending Kubernetes using Operators and Customer Resource Definitions (CRDs)</h5><ul> <li>The Need for Extensibility</li><li>Extending the Kubernetes API: (CRDs)</li><li>Kubernetes controllers and Operators</li></ul>Attendees will be taught the following concepts and skills: - Install and configure RKE2 clusters using server and agent nodes - Manage Kubernetes workloads, including Deployments, StatefulSets, DaemonSets, and batch processing with Jobs and CronJobs - Configure persistent storage using Volumes, PersistentVolumes, and the Container Storage Interface (CSI) - Implement cluster networking and external access via Services, Ingress, and the Gateway API - Secure the cluster environment through multi-layered API access control, RBAC, and NetworkPolicies - Optimize resource usage by defining Quality of Service (QoS) classes, ResourceQuotas, and LimitRanges - Execute maintenance and operations, including horizontal and vertical scaling, cluster upgrades, and etcd backups - Manage complex applications using Helm charts and extend the Kubernetes API with CRDs and OperatorsStudents should have a basic understanding of containerization concepts and be comfortable working within a Linux command-line environment. Prior experience with virtualization and general networking fundamentals is highly recommended.This course is primarily designed for system administrators, DevOps engineers, and cloud or platform engineers who need a technical introduction to Kubernetes administration and SUSE’s specific distributions. It is also suitable for those responsible for managing production-grade container orchestration environments.Section 1: Course Overview Section 2: Introduction to Containers and Container Orchestration - Container Fundamentals - The Need for Orchestration - Introduction to Kubernetes Section 3: Kubernetes Distributions by SUSE - Understand the SUSE Kubernetes Distributions - Install RKE2 Section 4: Basic Kubernetes Objects and Commands - Core Kubernetes Objects and Their Relationships - Create Kubernetes Objects - Retrieve Information about Kubernetes Objects - Command-line Efficiency Tips and Tricks Section 5: Running Workloads in Kubernetes - Namespaces to Group Kubernetes objects - Workloads and the Relationship with Pods - ReplicaSets and Deployments for Stateless Applications - StatefulSets for Stateful Applications - Batch Processes using Jobs and CronJobs Section 6: Configuration for Kubernetes Objects - Configuration Decoupling - Managing Configurations: ConfigMaps - Managing Sensitive Information: Secrets - Security Considerations Section 7: Scheduling in Kubernetes - The Scheduling Process - Basic Node Selection - Affinity and Anti-Affinity Rules - Taints and Tolerations Section 8: Resource Usage Control and Quality of Service (QoS) - Resources in Kubernetes - Resources, Scheduling, and Quality of Service (QoS) - Controlling Defaults and Boundaries Section 9: Scaling in Kubernetes - Horizontal Workload Scaling in Kubernetes - Vertical Workload Scaling in Kubernetes - Scale an RKE2 Kubernetes Cluster Section 10: Cluster Networking and Services in Kubernetes - The Kubernetes Networking Model - Services in Kubernetes - External Service Exposure (Ingress and Gateway API) Section 11: Storage in Kubernetes - The Need for Persistent Storage - Storage Abstractions - Provision Storage - The Container Storage Interface (CSI) Section 12: Security in Kubernetes - Kubernetes Security: A Multi-layered approach - API Access Control - Network Segmentation with NetworkPolicies - Other Kubernetes Key Security Features Section 13: Monitoring and Troubleshooting in Kubernetes - Troubleshooting and Monitoring Tools - Diagnosing Application Issues - Cluster Issues - Networking and Service Troubleshooting Section 14: Cluster Operations in Kubernetes - Node Lifecycle Management - Cluster Upgrades - Backups and Disaster Recovery Section 15: Kubernetes Application Management with Helm - Helm Charts and Repositories - Release management (Install, Upgrade, Rollback) Section 16: Extending Kubernetes using Operators and Customer Resource Definitions (CRDs) - The Need for Extensibility - Extending the Kubernetes API: (CRDs) - Kubernetes controllers and Operators3 jours2235.002235.002235.002235.002235.002400.003310.00