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Course Outline
Day 1 – Containers and Image Management
Introduction to Container Platforms
- Comparing traditional application deployment with container-based deployment
- Differentiating containers from virtual machines
- Understanding container runtimes and engines
- The respective roles of Docker, Kubernetes, and OpenShift
- Common architectures for container platforms
- Workflows for development, testing, and production
Working with Containers
- Running and managing containers
- Understanding the container lifecycle
- Starting, stopping, and removing containers
- Executing commands within containers
- Utilizing environment variables
- Configuring port mappings
- Accessing container logs
- Inspecting resource usage and processes
Building Container Images
- Comprehending image structure and layers
- Creating Dockerfiles and Containerfiles
- Selecting appropriate base images
- Incorporating application dependencies
- Configuring entry points and commands
- Leveraging image caching
- Strategies for reducing image size
- Constructing reproducible images
Container Registries
- Distinguishing between public and private registries
- Tagging and versioning images
- Pushing and pulling images
- Handling image authentication
- Managing image retention and cleanup
- Basic considerations for image security
Container Networking and Storage
- Fundamental container networking concepts
- Bridge networking
- Exposing ports
- Facilitating container-to-container communication
- Utilizing bind mounts and volumes
- Ensuring persistent container data storage
- Key backup considerations
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 the container
Day 2 – Kubernetes Architecture and Workloads
Kubernetes Fundamentals
- The purpose of container orchestration
- Kubernetes architecture overview
- Control plane components
- Worker nodes
- API server
- Scheduler
- Controllers
- Distinguishing between cluster state and 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
- Implementing rolling updates
- Executing rollbacks
- Reviewing deployment history
- Restarting workloads
- Managing application replicas
Application Configuration
- ConfigMaps
- Secrets
- Environment variables
- Configuration files
- Decoupling application code from configuration
- Managing environment-specific settings
Resource Management
- Defining CPU and memory requests
- Setting CPU and memory limits
- Implementing resource quotas
- Configuring limit ranges
- Understanding scheduling implications
- Diagnosing resource-related failures
Hands-on Exercises
- Deploying a containerized application
- Creating and updating Kubernetes manifests
- Scaling an application
- Performing rolling updates and rollbacks
- Configuring applications 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
- DNS resolution within the cluster
- ClusterIP services
- NodePort services
- LoadBalancer services
- Ingress concepts
- Application exposure patterns
Network Policies
- Controlling traffic between workloads
- Defining ingress and egress rules
- Namespace-based traffic control
- Testing network connectivity
- Troubleshooting service communication issues
Persistent Storage
- Differentiating ephemeral and persistent storage
- Volumes
- PersistentVolumes (PVs)
- PersistentVolumeClaims (PVCs)
- StorageClasses
- Dynamic provisioning
- Access modes
- Reclaim policies
- Storage solutions for stateful applications
Kubernetes Access Control
- Concepts of authentication and authorization
- Role-Based Access Control (RBAC)
- Roles and ClusterRoles
- RoleBindings and ClusterRoleBindings
- Service accounts
- Enforcing least-privilege access
- Inspecting effective permissions
Workload Security
- Security contexts
- Running containers as non-root users
- Managing Linux capabilities
- Implementing read-only filesystems
- Handling secrets securely
- Verifying image provenance
- Identifying common configuration risks
Hands-on Exercises
- Exposing an application via Kubernetes services
- Configuring ingress rules
- Restricting traffic using network policies
- Provisioning persistent storage
- Configuring RBAC permissions
- Running a workload with appropriate security contexts
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
- Projects versus namespaces
- Platform users and service accounts
- Navigating the web console
- Utilizing the OpenShift CLI (oc)
Managing Projects and Access
- Creating and managing projects
- Assigning user permissions
- Project-level roles
- Gaining administrative access
- Implementing resource quotas
- Configuring limit ranges
- Managing service accounts
- Reviewing project resources
Deploying Applications
- Deploying container images
- Creating application workloads
- Managing deployments
- Scaling applications
- Updating application versions
- Executing rollbacks
- Managing application configuration
- Working with secrets
Application Exposure
- Services in OpenShift
- Routes
- TLS concepts
- Distinguishing internal and external access
- Managing hostnames and certificates
- Diagnosing route and service issues
Storage in OpenShift
- Persistent Volume Claims (PVCs)
- StorageClasses
- Attaching storage to workloads
- Managing stateful workloads
- Configuring storage access permissions
- Troubleshooting volume mounting issues
Scheduling and Node Management
- Labels and selectors
- Node selectors
- Understanding 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
- Assessing node health
- Evaluating workload status
- Understanding capacity and resource utilization
- Identifying performance constraints
Logging and Events
- Accessing container logs
- Retrieving pod logs
- Viewing previous container logs
- Interpreting Kubernetes events
- Reviewing application and platform messages
- Filtering and interpreting operational data
Health Checks
- Startup probes
- Readiness probes
- Liveness probes
- Designing effective health endpoints
- Diagnosing probe failures
- Preventing unnecessary application restarts
Troubleshooting Workloads
- Addressing pending pods
- Resolving image pull failures
- Fixing crash loops
- Correcting misconfigured environment variables
- Handling failed mounts
- Dealing with insufficient resources
- Resolving permission errors
- Fixing service and route connectivity problems
- Addressing DNS issues
- Investigating application startup failures
Operational Security
- Reviewing permissions
- Evaluating service account usage
- Secure handling of credentials
- Implementing image security practices
- Establishing network isolation
- Auditing platform access
- Applying the principle of least privilege
Maintenance and Lifecycle Management
- Conducting routine platform checks
- Performing node maintenance
- Considering application backup strategies
- Backing up configurations
- Planning updates
- Managing changes
- Testing updates
- Planning rollbacks
- Understanding disaster recovery concepts
Final Practical Workshop
Participants will 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-led demonstrations.
- Extensive hands-on exercises.
- Scenario-based administration and troubleshooting workshops.
- Practical work within 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 prior experience with Docker, Kubernetes, or OpenShift is beneficial, 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.
