Explore a proposed step-by-step approach to deploying containerized applications on Red Hat OpenShift, covering Kubernetes resources, networking, security, and cluster management.
Abstract
This publication describes a proposed workflow for deploying and managing a containerized application on Red Hat OpenShift. It outlines the roles of Kubernetes resources, including pods, deployments, services, routes, projects, and Operators. It also describes administrative considerations involving cluster access, application configuration, networking, storage, security, and monitoring. The workflow is presented as a technical configuration approach for learning and planning purposes. It does not claim that a physical implementation, production deployment, or experimental validation has been completed.
1. Introduction
Containerization provides a way to package applications and their dependencies into portable units. Kubernetes provides orchestration capabilities for deploying and managing containerized workloads.
Red Hat OpenShift is a Kubernetes-based platform that provides additional interfaces and capabilities for application deployment and cluster administration.
This publication presents a proposed workflow for understanding how an application can be deployed and managed within an OpenShift environment.
2. Scope and Intended Application
The proposed workflow covers the following activities:
- Accessing an authorized OpenShift cluster.
- Selecting or creating a project.
- Identifying a suitable container image.
- Defining an application deployment.
- Exposing the application through a service.
- Configuring external access through a route where supported.
- Inspecting workload status and application logs.
- Reviewing relevant security and resource settings.
The workflow is intended as a learning and configuration reference. Actual implementation details depend on the OpenShift environment, cluster policies, available resources, and application requirements.
3. OpenShift Architecture Components
3.1 Projects
A project provides an organizational boundary for related resources. It can be used to separate workloads and manage access for different users or teams.
3.2 Pods
A pod is the smallest deployable unit in Kubernetes. It contains one or more containers that share network and storage resources.
3.3 Deployments
A deployment describes the desired state of an application workload. It manages pod replicas and supports controlled updates.
3.4 Services
A service provides a stable network endpoint for accessing application pods. It helps maintain communication even when individual pods are replaced.
3.5 Routes
An OpenShift Route provides a way to expose a service externally, subject to the cluster's routing and network configuration.
3.6 Operators
Operators provide mechanisms for automating application and platform component management through Kubernetes resources.
4. Proposed Deployment Workflow
The following sequence describes a possible deployment process.
4.1 Cluster Access
The administrator connects to an authorized OpenShift cluster using the web console or command-line interface.
The command-line interface can be used as follows:
oc login <cluster-url>
Authentication and access permissions depend on the cluster configuration.
4.2 Project Selection
A project is selected or created to organize the application resources.
oc project <project-name>
4.3 Container Image Selection
A suitable container image is identified for the application. The image should be obtained from an authorized registry and should meet the application's compatibility and security requirements.
4.4 Application Deployment
An application deployment can be defined using an OpenShift-compatible deployment configuration or an appropriate Kubernetes manifest.
The deployment specification should identify the container image, required replicas, resource settings, and other application configuration.
4.5 Service Configuration
A service can be configured to provide stable internal access to the application pods.
4.6 External Application Access
Where external access is required and permitted, a route can be configured to expose the service.
The availability and configuration of external access depend on the cluster environment.
4.7 Workload Inspection
The following commands can be used to inspect resources:
oc get pods
oc get deployments
oc get services
oc get routes
oc describe pod <pod-name>
oc logs <pod-name>
These commands provide information about workload status, resource configuration, and application output.
5. Administration and Security Considerations
A proposed OpenShift deployment should account for several operational requirements.
5.1 Authentication and Authorization
User access should follow the permissions assigned by the cluster administrator. Role-based access control can be used to restrict access to resources.
5.2 Resource Management
CPU and memory requests and limits should be considered according to application requirements and available cluster capacity.
5.3 Storage
Applications that need persistent data require an appropriate storage configuration. Persistent volumes and persistent volume claims are relevant Kubernetes mechanisms.
5.4 Network Configuration
Services, routes, and network policies should be configured according to application connectivity requirements and cluster security rules.
5.5 Monitoring and Troubleshooting
Administrators can inspect resource status, application logs, events, and available monitoring information to investigate workload issues.
6. Proposed Verification Procedure
If this workflow is implemented in a suitable learning environment, the following checks can be performed:
- Confirm that the application deployment resource exists.
- Inspect whether the expected pods have reached their desired state.
- Review application logs for errors.
- Confirm that the service selects the intended application pods.
- Check route configuration if external access is enabled.
- Verify application connectivity from an authorized client.
- Review resource consumption and relevant security settings.
These are proposed verification steps. No successful test results are asserted in this publication.
7. Limitations
The workflow does not specify a particular application, container image, cluster version, infrastructure provider, or production topology.
The actual deployment process may vary depending on:
- OpenShift version and configuration.
- Container image requirements.
- Cluster permissions and security policies.
- Networking and storage providers.
- Application resource requirements.
- Organizational deployment standards.
The proposed workflow should therefore be adapted and validated in the intended environment before operational use.
8. Conclusion
Red Hat OpenShift provides a Kubernetes-based environment for deploying and managing containerized applications. Understanding projects, pods, deployments, services, routes, and Operators provides a foundation for learning OpenShift administration.
The proposed workflow organizes the main stages of application deployment and administration into a sequence that can be used for technical study and future implementation. Actual performance, compatibility, and operational behavior must be established through implementation and testing in an appropriate environment.
9. Related Learning Resource
For readers interested in structured learning about OpenShift administration, the following course information may be useful:
Red Hat OpenShift Training – DO280 and EX280 Certification Preparation
The resource provides information about OpenShift training and certification preparation through WebAsha Technologies.
10. Publication Status
This document describes a proposed technical workflow. It does not report a completed physical implementation, production deployment, simulation, or experimental test. No independent validation or certification of the proposed workflow is claimed.