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Red Hat OpenShift

Information Technology > Cloud-based management

Description

Red Hat OpenShift is a powerful, enterprise-grade Kubernetes platform that simplifies the deployment, management, and scaling of containerized applications. It provides a comprehensive suite of tools for developers and IT operations teams to build, deploy, and manage applications consistently across on-premises and cloud environments. OpenShift enhances Kubernetes with additional features such as automated operations, integrated developer tools, and robust security measures. It supports a wide range of programming languages and frameworks, making it versatile for various application needs. With its user-friendly web console and command-line interface, OpenShift streamlines complex tasks, enabling organizations to accelerate their development cycles and improve operational efficiency.

Expected Behaviors

✎
LEVEL 1

Fundamental Awareness

At the fundamental awareness level, individuals have a basic understanding of Red Hat OpenShift architecture, terminology, and concepts. They can navigate the web console and have a rudimentary grasp of Kubernetes and its relationship to OpenShift.

🌱
LEVEL 2

Novice

Novices can create and manage projects, deploy simple applications using the web console, and use the OpenShift CLI. They can perform basic troubleshooting, configure resource quotas, and understand the foundational aspects of application deployment.

🌍
LEVEL 3

Intermediate

Intermediate users manage application configurations with ConfigMaps and Secrets, set up persistent storage, and implement routes for application exposure. They use templates and image streams, monitor application performance, and apply role-based access control (RBAC).

⭐
LEVEL 4

Advanced

Advanced practitioners automate deployments with OpenShift Pipelines, manage multi-cluster environments, and integrate with external CI/CD tools. They optimize resource usage, scale applications, and implement advanced networking and security best practices.

🏆
LEVEL 5

Expert

Experts design complex OpenShift architectures, customize and extend the platform using Operators, and perform advanced troubleshooting and performance tuning. They implement disaster recovery strategies, lead adoption and migration projects, and contribute to the OpenShift community.

Micro Skills

✎
LEVEL 1

Fundamental Awareness

Identifying the components of OpenShift architecture
Understanding the role of the master and worker nodes
Explaining the function of the etcd database
Describing the purpose of the OpenShift API server
Understanding the role of the scheduler and controller manager
Defining terms such as pods, services, and deployments
Understanding the concept of namespaces
Explaining the difference between StatefulSets and Deployments
Understanding the concept of Operators in OpenShift
Describing the purpose of ConfigMaps and Secrets
Logging into the OpenShift web console
Locating and using the main dashboard features
Creating a new project from the web console
Viewing and managing resources within a project
Accessing logs and monitoring information from the web console
Explaining the core concepts of Kubernetes
Understanding how OpenShift extends Kubernetes
Describing the additional features OpenShift provides over Kubernetes
Identifying the similarities and differences between Kubernetes and OpenShift
Understanding the role of Kubernetes Operators in OpenShift
🌱
LEVEL 2

Novice

Creating a new project using the OpenShift web console
Creating a new project using the OpenShift CLI (oc)
Assigning users to a project
Setting resource quotas for a project
Deleting a project
Selecting a source code repository for deployment
Configuring build settings for the application
Monitoring the build process
Accessing the deployed application
Viewing application logs
Installing the OpenShift CLI
Logging into an OpenShift cluster using oc
Listing available projects
Switching between projects
Deploying an application using oc commands
Viewing pod status and events
Checking application logs for errors
Restarting failed pods
Scaling pods up and down
Identifying common deployment issues
Understanding resource quotas and limits
Setting CPU and memory quotas for a project
Setting CPU and memory limits for individual pods
Monitoring resource usage within a project
Adjusting quotas and limits as needed
🌍
LEVEL 3

Intermediate

Creating ConfigMaps from literal values and files
Mounting ConfigMaps as environment variables in pods
Creating Secrets from literal values and files
Mounting Secrets as environment variables in pods
Using ConfigMaps and Secrets in deployment configurations
Understanding PersistentVolume (PV) and PersistentVolumeClaim (PVC)
Creating and binding PVCs to PVs
Configuring dynamic provisioning of storage
Mounting PVCs to pods
Managing storage classes and access modes
Creating routes to expose services externally
Configuring route policies and annotations
Securing routes with TLS termination
Managing custom domains and certificates
Troubleshooting route issues
Creating and managing OpenShift templates
Deploying applications using templates
Understanding and using image streams
Triggering builds and deployments with image streams
Managing image stream tags and policies
Using the OpenShift web console to monitor application metrics
Configuring and using Prometheus for monitoring
Setting up Grafana dashboards for visualization
Implementing alerts and notifications
Analyzing logs using OpenShift logging tools
Understanding RBAC concepts and components
Creating and managing roles and role bindings
Assigning roles to users and groups
Configuring service accounts and their permissions
Auditing and troubleshooting RBAC configurations
⭐
LEVEL 4

Advanced

Understanding the basics of Tekton and its components
Creating and managing Tekton pipelines in OpenShift
Integrating Tekton pipelines with Git repositories
Using Tekton tasks and steps for building and deploying applications
Monitoring and troubleshooting Tekton pipeline executions
Configuring network policies for pod communication control
Setting up and managing OpenShift Service Mesh
Implementing ingress controllers and custom ingress rules
Using NetworkAttachmentDefinitions for multi-network support
Troubleshooting network issues in OpenShift
Setting up and configuring Red Hat Advanced Cluster Management (ACM)
Deploying and managing applications across multiple clusters
Implementing cluster federation and synchronization
Monitoring and maintaining cluster health and performance
Implementing security and compliance policies across clusters
Connecting OpenShift with Jenkins for CI/CD
Using GitLab CI/CD with OpenShift
Integrating OpenShift with GitHub Actions
Configuring webhook triggers for automated deployments
Monitoring and troubleshooting CI/CD integrations
Configuring horizontal and vertical pod autoscaling
Implementing cluster autoscaling for resource optimization
Using resource requests and limits effectively
Monitoring resource usage with Prometheus and Grafana
Troubleshooting scaling issues and optimizing performance
Configuring and managing OpenShift security contexts
Implementing pod security policies and admission controllers
Using OpenShift's built-in security features (e.g., SCCs, RBAC)
Integrating OpenShift with external security tools (e.g., Aqua, Twistlock)
Conducting regular security audits and vulnerability assessments
🏆
LEVEL 5

Expert

Assessing organizational requirements for OpenShift deployment
Designing high-availability OpenShift clusters
Implementing multi-region and multi-cloud OpenShift deployments
Integrating OpenShift with existing IT infrastructure
Ensuring compliance with industry standards and regulations
Understanding the Operator Framework and its components
Developing custom Operators using the Operator SDK
Deploying and managing Operators in OpenShift
Automating application lifecycle management with Operators
Contributing to the OperatorHub community
Identifying and resolving common OpenShift issues
Using OpenShift monitoring tools for performance analysis
Optimizing resource allocation and usage
Implementing logging and alerting mechanisms
Conducting root cause analysis for complex issues
Designing backup and restore procedures for OpenShift
Implementing data replication and failover mechanisms
Testing disaster recovery plans
Ensuring business continuity during outages
Documenting and updating disaster recovery protocols
Developing a roadmap for OpenShift adoption
Managing stakeholder expectations and communication
Planning and executing migration from legacy systems
Training and mentoring team members on OpenShift
Evaluating and selecting third-party tools and services
Participating in OpenShift forums and discussion groups
Submitting bug reports and feature requests
Contributing code to OpenShift repositories
Writing and sharing OpenShift tutorials and guides

Skill Overview

  • Expert2 years experience
  • Micro-skills134
  • Roles requiring skill0

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