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Course Outline
Day 1 – Containers and Image Management
Introduction to Container Platforms
- Traditional application deployment compared with container-based deployment
- Containers and virtual machines
- Container runtimes and container engines
- The role of Docker, Kubernetes and OpenShift
- Common container platform architectures
- Development, testing and production workflows
Working with Containers
- Running and managing containers
- Container lifecycle
- Starting, stopping and removing containers
- Executing commands inside containers
- Environment variables
- Port mapping
- Container logs
- Resource usage and process inspection
Building Container Images
- Image structure and layers
- Creating Dockerfiles and Containerfiles
- Selecting base images
- Adding application dependencies
- Configuring entry points and commands
- Image caching
- Reducing image size
- Building reproducible images
Container Registries
- Public and private registries
- Tagging and versioning images
- Pushing and pulling images
- Image authentication
- Image retention and cleanup
- Basic image security considerations
Container Networking and Storage
- Container network concepts
- Bridge networking
- Port exposure
- Container-to-container communication
- Bind mounts and volumes
- Persistent container data
- Backup considerations
Hands-on Exercises
- Run and inspect containers
- Build an application image
- Configure ports and environment variables
- Publish an image to a registry
- Store persistent data outside a container
Day 2 – Kubernetes Architecture and Workloads
Kubernetes Fundamentals
- The purpose of container orchestration
- Kubernetes architecture
- Control plane components
- Worker nodes
- API server
- Scheduler
- Controllers
- Cluster state and desired state
- Communicating with the cluster using kubectl
Kubernetes Resources
- Pods
- ReplicaSets
- Deployments
- Namespaces
- Labels and annotations
- Selectors
- Declarative resource definitions
- YAML manifests
Deploying Applications
- Creating and managing Deployments
- Scaling workloads
- Updating container images
- Rolling updates
- Rollbacks
- Deployment history
- Restarting workloads
- Managing application replicas
Application Configuration
- ConfigMaps
- Secrets
- Environment variables
- Configuration files
- Separating application code from configuration
- Managing environment-specific settings
Resource Management
- CPU and memory requests
- CPU and memory limits
- Resource quotas
- Limit ranges
- Scheduling implications
- Diagnosing resource-related failures
Hands-on Exercises
- Deploy a containerized application
- Create and update Kubernetes manifests
- Scale an application
- Perform a rolling update and rollback
- Configure the application using ConfigMaps and Secrets
- Apply resource requests and limits
Day 3 – Kubernetes Networking, Storage and Security
Kubernetes Networking
- Cluster networking model
- Pod-to-pod communication
- Service discovery
- DNS inside the cluster
- ClusterIP services
- NodePort services
- LoadBalancer services
- Ingress concepts
- Application exposure patterns
Network Policies
- Controlling traffic between workloads
- Ingress and egress rules
- Namespace-based traffic control
- Testing network connectivity
- Troubleshooting service communication
Persistent Storage
- Ephemeral and persistent storage
- Volumes
- PersistentVolumes
- PersistentVolumeClaims
- StorageClasses
- Dynamic provisioning
- Access modes
- Reclaim policies
- Storage for stateful applications
Kubernetes Access Control
- Authentication and authorization concepts
- Role-Based Access Control
- Roles and ClusterRoles
- RoleBindings and ClusterRoleBindings
- Service accounts
- Least-privilege access
- Inspecting effective permissions
Workload Security
- Security contexts
- Running containers as non-root
- Linux capabilities
- Read-only filesystems
- Secret handling
- Image provenance
- Common configuration risks
Hands-on Exercises
- Expose an application using Kubernetes services
- Configure ingress
- Restrict traffic using a network policy
- Provision persistent storage
- Configure RBAC permissions
- Run a workload with an appropriate security context
Day 4 – Working with OpenShift Environments
Introduction to OpenShift
- OpenShift as a Kubernetes-based application platform
- Kubernetes resources in an OpenShift environment
- OpenShift cluster architecture
- Projects and namespaces
- Platform users and service accounts
- Working with the web console
- Working with the OpenShift CLI
Managing Projects and Access
- Creating and managing projects
- Assigning user permissions
- Project-level roles
- Administrative access
- Resource quotas
- Limit ranges
- Service accounts
- Reviewing project resources
Deploying Applications
- Deploying container images
- Creating application workloads
- Managing deployments
- Scaling applications
- Updating application versions
- Rollbacks
- Managing application configuration
- Working with secrets
Application Exposure
- Services in OpenShift
- Routes
- TLS concepts
- Internal and external application access
- Hostnames and certificates
- Diagnosing route and service issues
Storage in OpenShift
- Persistent Volume Claims
- StorageClasses
- Attaching storage to workloads
- Stateful workloads
- Storage access permissions
- Troubleshooting volume mounting
Scheduling and Node Management
- Labels and selectors
- Node selectors
- Taints and tolerations
- Affinity and anti-affinity concepts
- Workload placement
- Cordoning and draining nodes
- Node maintenance considerations
Hands-on Exercises
- Access an OpenShift environment
- Create and configure a project
- Deploy and expose an application
- Configure user and service-account access
- Attach persistent storage
- Scale and update a running workload
Day 5 – Operations, Monitoring and Troubleshooting
Platform Monitoring
- Monitoring cluster and application health
- Resource metrics
- Node health
- Workload status
- Capacity and resource utilization
- Identifying performance constraints
Logging and Events
- Container logs
- Pod logs
- Previous container logs
- Kubernetes events
- Application and platform messages
- Filtering and interpreting operational data
Health Checks
- Startup probes
- Readiness probes
- Liveness probes
- Designing useful health endpoints
- Diagnosing probe failures
- Preventing unnecessary application restarts
Troubleshooting Workloads
- Pending pods
- Image pull failures
- Crash loops
- Misconfigured environment variables
- Failed mounts
- Insufficient resources
- Permission errors
- Service and route connectivity problems
- DNS issues
- Application startup failures
Operational Security
- Reviewing permissions
- Service account usage
- Secure handling of credentials
- Image security practices
- Network isolation
- Platform access auditing
- Applying the principle of least privilege
Maintenance and Lifecycle Management
- Routine platform checks
- Node maintenance
- Application backup considerations
- Configuration backup
- Update planning
- Change management
- Testing updates
- Rollback planning
- Disaster recovery concepts
Final Practical Workshop
Participants complete an end-to-end operational scenario:
- Build and tag a container image.
- Publish the image to a registry.
- Deploy the application to Kubernetes or OpenShift.
- Configure application settings and credentials.
- Expose the application.
- Attach persistent storage.
- Configure access permissions.
- Add health checks.
- Scale and update the application.
- Diagnose and resolve an introduced failure.
Course Format
- Interactive lectures and technical discussions.
- Instructor demonstrations.
- Extensive hands-on exercises.
- Scenario-based administration and troubleshooting workshops.
- Practical work in container, Kubernetes and OpenShift environments.
Course Customization Options
- The course can be adapted to the participant's existing infrastructure, cloud provider and container tooling.
- The balance between Docker, Kubernetes and OpenShift topics can be adjusted according to the team's experience.
- Practical exercises can be tailored to the organization's applications, deployment processes and operational requirements.
Trademark Notice
OpenShift is a trademark of Red Hat, Inc. This independently developed training is not affiliated with, endorsed by or authorized by Red Hat.
Requirements
Participants should have:
- Experience using the Linux command line.
- Basic system administration or DevOps knowledge.
- A general understanding of networking concepts.
- Familiarity with software deployment processes.
Previous experience with Docker, Kubernetes or OpenShift is helpful but not required.
35 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 8000 € + VAT*
Contact us for an exact quote and to hear our latest promotions
Testimonials (7)
Reda explanations and he simplified alot of the understanding
Eric Van Wyk
Course - Docker, Kubernetes and OpenShift 3 for Administrators
The labs were the best. Very practical and provides hands-on experience. I personally think that it is the most effective means of truly understanding the course and applying the concepts that were covered.
Hishaam Johnstone
Course - Docker, Kubernetes and OpenShift 3 for Administrators
I loved the willingness to help and explain further when uncertain
Letlotlo Miffi
Course - Docker, Kubernetes and OpenShift 3 for Administrators
Adriano studied the subject very deeply which is the style i mostly prefer ie: less about the commands more on the mechanism behind it. Discussed scenarios were well supported by the practical examples which helped a lot to understand the presented stuff.
Mariusz BANASZCZYK - Sopra Steria
Course - Docker, Kubernetes and OpenShift for Administrators
Deep knowledge of Adriano. Explanation of base concepts
Tomasz Szalankiewicz - LPP SA
Course - Docker, Kubernetes and OpenShift for Administrators
I generally liked the presenter.
Josif Kovacevic - ANZ
Course - Docker, Kubernetes and OpenShift for Administrators
Adrian clearly knows and enjoys this technology.
