OpenShift

Where to Move

Move chapter:

• ☰ Course Overview
  • ☰ What is OpenShift
  • ☰ Why OpenShift is used in modern IT and cloud environments
  • ☰ OpenShift vs Kubernetes
  • ☰ Typical OpenShift use cases
  • ☰ Structure and goals of the course
• ☰ Containers and Cloud-Native Fundamentals
  • ☰ What is a container
  • ☰ Containers vs virtual machines
  • ☰ Introduction to Docker and container images
  • ☰ Container registries
  • ☰ Basics of cloud-native applications
• ☰ Kubernetes Fundamentals
  • ☰ What is Kubernetes
  • ☰ Kubernetes architecture
  • ☰ Control plane components
  • ☰ Worker node components
  • ☰ Kubernetes objects and resources
  • ☰ Declarative configuration model
• ☰ OpenShift Architecture
  • ☰ Overview of OpenShift architecture
  • ☰ Control plane in OpenShift
  • ☰ Nodes and machine roles
  • ☰ OpenShift Operators
  • ☰ OpenShift networking model
  • ☰ OpenShift storage model
• ☰ OpenShift Installation and Deployment Models
  • ☰ OpenShift deployment options
  • ☰ Installer-Provisioned Infrastructure
  • ☰ User-Provisioned Infrastructure
  • ☰ Managed OpenShift services
  • ☰ Single-node OpenShift
  • ☰ Cluster lifecycle management
• ☰ Accessing and Using OpenShift
  • ☰ OpenShift web console
  • ☰ OpenShift CLI (oc)
  • ☰ Authentication and authorization
  • ☰ Projects and namespaces
  • ☰ Resource quotas and limits
• ☰ Building and Deploying Applications
  • ☰ Application deployment concepts
  • ☰ Source-to-Image (S2I)
  • ☰ Container-based deployments
  • ☰ DeploymentConfigs and Deployments
  • ☰ Rolling updates and rollbacks
• ☰ Networking in OpenShift
  • ☰ Services and service discovery
  • ☰ Routes and ingress
  • ☰ Network policies
  • ☰ Load balancing
  • ☰ External access to applications
• ☰ Storage in OpenShift
  • ☰ Persistent storage concepts
  • ☰ Persistent Volumes
  • ☰ Persistent Volume Claims
  • ☰ StorageClasses
  • ☰ Dynamic provisioning
  • ☰ Stateful applications
• ☰ Configuration and Secrets Management
  • ☰ ConfigMaps
  • ☰ Secrets
  • ☰ Environment variables
  • ☰ Managing sensitive data
  • ☰ Best practices for configuration
• ☰ Scaling and High Availability
  • ☰ Horizontal pod autoscaling
  • ☰ Vertical scaling
  • ☰ Self-healing and pod restarts
  • ☰ High availability concepts
  • ☰ Multi-zone and multi-region clusters
• ☰ Monitoring, Logging, and Observability
  • ☰ Built-in monitoring stack
  • ☰ Metrics and alerts
  • ☰ Logging architecture
  • ☰ Distributed tracing
  • ☰ Troubleshooting applications
• ☰ Security in OpenShift
  • ☰ Security model overview
  • ☰ Role-Based Access Control
  • ☰ Security Context Constraints
  • ☰ Image security and scanning
  • ☰ Network security
  • ☰ Compliance and auditing
• ☰ CI/CD and DevOps with OpenShift
  • ☰ DevOps concepts
  • ☰ CI/CD pipelines overview
  • ☰ OpenShift Pipelines (Tekton)
  • ☰ GitOps with Argo CD
  • ☰ Integrating OpenShift with external CI tools
• ☰ Operators and Platform Services
  • ☰ What are Operators
  • ☰ Operator Lifecycle Manager
  • ☰ Installing and managing Operators
  • ☰ Common platform Operators
  • ☰ Custom Operators
• ☰ Upgrades, Maintenance, and Operations
  • ☰ OpenShift upgrade process
  • ☰ Backup and restore
  • ☰ Node maintenance
  • ☰ Cluster troubleshooting
  • ☰ Capacity planning
• ☰ OpenShift on HPC and Specialized Workloads
  • ☰ Running batch workloads on OpenShift
  • ☰ OpenShift and GPUs
  • ☰ MPI and parallel workloads in containers
  • ☰ Hybrid HPC and cloud workflows
• ☰ OpenShift in Practice
  • ☰ Typical OpenShift workflows
  • ☰ Development to production lifecycle
  • ☰ Case studies from industry
  • ☰ Common pitfalls and best practices
• ☰ Future Directions and Ecosystem
  • ☰ Kubernetes ecosystem overview
  • ☰ OpenShift roadmap
  • ☰ Serverless and event-driven workloads
  • ☰ AI and data platforms on OpenShift
• ☰ Final Project and Hands-On Exercises
  • ☰ Deploying a containerized application
  • ☰ Implementing CI/CD with OpenShift
  • ☰ Securing and scaling an application
  • ☰ Monitoring and troubleshooting report