OpenShift

Where to Move

Move chapter:

• ☰ 1 Course Overview
  • ☰ 1.1 What is OpenShift
  • ☰ 1.2 Why OpenShift is used in modern IT and cloud environments
  • ☰ 1.3 OpenShift vs Kubernetes
  • ☰ 1.4 Typical OpenShift use cases
  • ☰ 1.5 Structure and goals of the course
• ☰ 2 Containers and Cloud-Native Fundamentals
  • ☰ 2.1 What is a container
  • ☰ 2.2 Containers vs virtual machines
  • ☰ 2.3 Introduction to Docker and container images
  • ☰ 2.4 Container registries
  • ☰ 2.5 Basics of cloud-native applications
• ☰ 3 Kubernetes Fundamentals
  • ☰ 3.1 What is Kubernetes
  • ☰ 3.2 Kubernetes architecture
  • ☰ 3.3 Control plane components
  • ☰ 3.4 Worker node components
  • ☰ 3.5 Kubernetes objects and resources
  • ☰ 3.6 Declarative configuration model
• ☰ 4 OpenShift Architecture
  • ☰ 4.1 Overview of OpenShift architecture
  • ☰ 4.2 Control plane in OpenShift
  • ☰ 4.3 Nodes and machine roles
  • ☰ 4.4 OpenShift Operators
  • ☰ 4.5 OpenShift networking model
  • ☰ 4.6 OpenShift storage model
• ☰ 5 OpenShift Installation and Deployment Models
  • ☰ 5.1 OpenShift deployment options
  • ☰ 5.2 Installer-Provisioned Infrastructure
  • ☰ 5.3 User-Provisioned Infrastructure
  • ☰ 5.4 Managed OpenShift services
  • ☰ 5.5 Single-node OpenShift
  • ☰ 5.6 Cluster lifecycle management
• ☰ 6 Accessing and Using OpenShift
  • ☰ 6.1 OpenShift web console
  • ☰ 6.2 OpenShift CLI (oc)
  • ☰ 6.3 Authentication and authorization
  • ☰ 6.4 Projects and namespaces
  • ☰ 6.5 Resource quotas and limits
• ☰ 7 Building and Deploying Applications
  • ☰ 7.1 Application deployment concepts
  • ☰ 7.2 Source-to-Image (S2I)
  • ☰ 7.3 Container-based deployments
  • ☰ 7.4 DeploymentConfigs and Deployments
  • ☰ 7.5 Rolling updates and rollbacks
• ☰ 8 Networking in OpenShift
  • ☰ 8.1 Services and service discovery
  • ☰ 8.2 Routes and ingress
  • ☰ 8.3 Network policies
  • ☰ 8.4 Load balancing
  • ☰ 8.5 External access to applications
• ☰ 9 Storage in OpenShift
  • ☰ 9.1 Persistent storage concepts
  • ☰ 9.2 Persistent Volumes
  • ☰ 9.3 Persistent Volume Claims
  • ☰ 9.4 StorageClasses
  • ☰ 9.5 Dynamic provisioning
  • ☰ 9.6 Stateful applications
• ☰ 10 Configuration and Secrets Management
  • ☰ 10.1 ConfigMaps
  • ☰ 10.2 Secrets
  • ☰ 10.3 Environment variables
  • ☰ 10.4 Managing sensitive data
  • ☰ 10.5 Best practices for configuration
• ☰ 11 Scaling and High Availability
  • ☰ 11.1 Horizontal pod autoscaling
  • ☰ 11.2 Vertical scaling
  • ☰ 11.3 Self-healing and pod restarts
  • ☰ 11.4 High availability concepts
  • ☰ 11.5 Multi-zone and multi-region clusters
• ☰ 12 Monitoring, Logging, and Observability
  • ☰ 12.1 Built-in monitoring stack
  • ☰ 12.2 Metrics and alerts
  • ☰ 12.3 Logging architecture
  • ☰ 12.4 Distributed tracing
  • ☰ 12.5 Troubleshooting applications
• ☰ 13 Security in OpenShift
  • ☰ 13.1 Security model overview
  • ☰ 13.2 Role-Based Access Control
  • ☰ 13.3 Security Context Constraints
  • ☰ 13.4 Image security and scanning
  • ☰ 13.5 Network security
  • ☰ 13.6 Compliance and auditing
• ☰ 14 CI/CD and DevOps with OpenShift
  • ☰ 14.1 DevOps concepts
  • ☰ 14.2 CI/CD pipelines overview
  • ☰ 14.3 OpenShift Pipelines (Tekton)
  • ☰ 14.4 GitOps with Argo CD
  • ☰ 14.5 Integrating OpenShift with external CI tools
• ☰ 15 Operators and Platform Services
  • ☰ 15.1 What are Operators
  • ☰ 15.2 Operator Lifecycle Manager
  • ☰ 15.3 Installing and managing Operators
  • ☰ 15.4 Common platform Operators
  • ☰ 15.5 Custom Operators
• ☰ 16 Upgrades, Maintenance, and Operations
  • ☰ 16.1 OpenShift upgrade process
  • ☰ 16.2 Backup and restore
  • ☰ 16.3 Node maintenance
  • ☰ 16.4 Cluster troubleshooting
  • ☰ 16.5 Capacity planning
• ☰ 17 OpenShift on HPC and Specialized Workloads
  • ☰ 17.1 Running batch workloads on OpenShift
  • ☰ 17.2 OpenShift and GPUs
  • ☰ 17.3 MPI and parallel workloads in containers
  • ☰ 17.4 Hybrid HPC and cloud workflows
• ☰ 18 OpenShift in Practice
  • ☰ 18.1 Typical OpenShift workflows
  • ☰ 18.2 Development to production lifecycle
  • ☰ 18.3 Case studies from industry
  • ☰ 18.4 Common pitfalls and best practices
• ☰ 19 Future Directions and Ecosystem
  • ☰ 19.1 Kubernetes ecosystem overview
  • ☰ 19.2 OpenShift roadmap
  • ☰ 19.3 Serverless and event-driven workloads
  • ☰ 19.4 AI and data platforms on OpenShift
• ☰ 20 Final Project and Hands-On Exercises
  • ☰ 20.1 Deploying a containerized application
  • ☰ 20.2 Implementing CI/CD with OpenShift
  • ☰ 20.3 Securing and scaling an application
  • ☰ 20.4 Monitoring and troubleshooting report