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Course Outline
Day 1 – Containers and Image Management
Introduction to Container Platforms
- Comparing traditional application deployment with container-based deployment
- Differences between containers and virtual machines
- Container runtimes and container engines
- The roles of Docker, Kubernetes, and OpenShift
- Common container platform architectures
- Workflows for development, testing, and production
Working with Containers
- Running and managing containers
- The container lifecycle
- Starting, stopping, and removing containers
- Executing commands inside containers
- Utilizing environment variables
- Port mapping
- Accessing container logs
- Inspecting resource usage and processes
Building Container Images
- Understanding image structure and layers
- Creating Dockerfiles and Containerfiles
- Selecting appropriate base images
- Incorporating application dependencies
- Configuring entry points and commands
- Leveraging image caching
- Techniques for reducing image size
- Building reproducible images
Container Registries
- Differentiating between public and private registries
- Tagging and versioning images
- Pushing and pulling images
- Image authentication methods
- Managing image retention and cleanup
- Basic considerations for image security
Container Networking and Storage
- Core container networking concepts
- Bridge networking
- Port exposure techniques
- Facilitating container-to-container communication
- Utilizing bind mounts and volumes
- Maintaining persistent container data
- Considerations for backups
Hands-on Exercises
- Running and inspecting containers
- Building an application image
- Configuring ports and environment variables
- Publishing an image to a registry
- Storing persistent data outside of a container
Day 2 – Kubernetes Architecture and Workloads
Kubernetes Fundamentals
- The purpose of container orchestration
- Kubernetes architecture overview
- Control plane components
- Worker nodes
- The API server
- The Scheduler
- Controllers
- Understanding cluster state versus desired state
- Interacting 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
- Executing rolling updates
- Performing rollbacks
- Reviewing deployment history
- Restarting workloads
- Managing application replicas
Application Configuration
- Using ConfigMaps
- Managing Secrets
- Setting environment variables
- Utilizing configuration files
- Separating application code from configuration
- Managing environment-specific settings
Resource Management
- Defining CPU and memory requests
- Setting CPU and memory limits
- Implementing resource quotas
- Establishing limit ranges
- Understanding scheduling implications
- Diagnosing failures related to resources
Hands-on Exercises
- Deploying a containerized application
- Creating and updating Kubernetes manifests
- Scaling an application
- Performing a rolling update and rollback
- Configuring the application using ConfigMaps and Secrets
- Applying resource requests and limits
Day 3 – Kubernetes Networking, Storage, and Security
Kubernetes Networking
- The cluster networking model
- Pod-to-pod communication
- Service discovery mechanisms
- DNS resolution within the cluster
- ClusterIP services
- NodePort services
- LoadBalancer services
- Ingress concepts
- Patterns for application exposure
Network Policies
- Controlling traffic between workloads
- Ingress and egress rules
- Namespace-based traffic control
- Testing network connectivity
- Troubleshooting service communication
Persistent Storage
- Ephemeral versus persistent storage
- Volumes
- PersistentVolumes
- PersistentVolumeClaims
- StorageClasses
- Dynamic provisioning
- Access modes
- Reclaim policies
- Storage requirements for stateful applications
Kubernetes Access Control
- Authentication and authorization concepts
- Role-Based Access Control (RBAC)
- Roles and ClusterRoles
- RoleBindings and ClusterRoleBindings
- Service accounts
- Adhering to least-privilege access
- Inspecting effective permissions
Workload Security
- Security contexts
- Running containers as non-root users
- Linux capabilities
- Utilizing read-only filesystems
- Handling secrets securely
- Ensuring image provenance
- Common configuration risks
Hands-on Exercises
- Exposing an application using Kubernetes services
- Configuring ingress
- Restricting traffic using network policies
- Provisioning persistent storage
- Configuring RBAC permissions
- Running 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 within an OpenShift environment
- OpenShift cluster architecture
- Differentiating projects and namespaces
- Platform users and service accounts
- Navigating the web console
- Using the OpenShift CLI
Managing Projects and Access
- Creating and managing projects
- Assigning user permissions
- Project-level roles
- Administrative access management
- Resource quotas
- Limit ranges
- Service accounts
- Reviewing project resources
Deploying Applications
- Deploying container images
- Creating application workloads
- Managing deployments
- Scaling applications
- Updating application versions
- Performing rollbacks
- Managing application configuration
- Working with secrets
Application Exposure
- Services in OpenShift
- Routes
- TLS concepts
- Internal and external application access
- Managing 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 issues
Scheduling and Node Management
- Labels and selectors
- Node selectors
- Taints and tolerations
- Affinity and anti-affinity concepts
- Workload placement strategies
- Cordoning and draining nodes
- Considerations for node maintenance
Hands-on Exercises
- Accessing an OpenShift environment
- Creating and configuring a project
- Deploying and exposing an application
- Configuring user and service-account access
- Attaching persistent storage
- Scaling and updating a running workload
Day 5 – Operations, Monitoring, and Troubleshooting
Platform Monitoring
- Monitoring cluster and application health
- Analyzing resource metrics
- Checking node health
- Evaluating workload status
- Assessing capacity and resource utilization
- Identifying performance constraints
Logging and Events
- Accessing container logs
- Reviewing pod logs
- Checking previous container logs
- Interpreting Kubernetes events
- Analyzing 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 procedures
- Application backup considerations
- Configuration backups
- Update planning
- Change management
- Testing updates
- Rollarback 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 possess:
- Experience using the Linux command line.
- Foundational knowledge of system administration or DevOps practices.
- A general understanding of networking concepts.
- Familiarity with software deployment processes.
While previous experience with Docker, Kubernetes, or OpenShift is advantageous, it is not mandatory.
35 Hours
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.
