OpenShift Advanced Concepts for OpenShift Architects and Administrators:

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Concepts:

1. Operator Framework Mastery:
   – Explore and implement custom operators using Operator SDK.
   – Understand the Operator Lifecycle Manager (OLM) and create custom CatalogSources.

2. Multi-Cluster Deployments:
   – Set up and manage multi-cluster OpenShift deployments for improved scalability and resilience.

3. Advanced Networking:
   – Implement and configure advanced networking concepts like Network Policies, Ingress Controllers, and Service Mesh (Istio).

4. Custom Resource Definitions (CRDs):
   – Develop and deploy custom CRDs to extend OpenShift’s resource model for specific use cases.

5. Security Best Practices:
   – Implement Pod Security Policies (PSP) and explore Security Context Constraints (SCC) for enhanced security.

6. Monitoring and Logging:
   – Integrate OpenShift with advanced monitoring tools like Prometheus and Grafana.
   – Set up centralized logging using tools like Elasticsearch and Fluentd.

7. Storage Management:
   – Configure and optimize storage solutions like Persistent Volumes (PVs) and Persistent Volume Claims (PVCs).
   – Experiment with Container Storage (Ceph, Gluster) integration.

8. Quotas and Limit Ranges:
   – Implement and fine-tune resource quotas and limit ranges to control resource consumption.

9. Custom Admission Controllers:
   – Develop and deploy custom admission controllers to enforce specific policies during pod admission.

10. Automated Deployments:
    – Implement advanced CI/CD pipelines using Jenkins or Tekton for automated application deployments.

Experiments:

11. Horizontal Pod Autoscaling (HPA) and Cluster Autoscaler:
    – Experiment with dynamic scaling of applications based on resource usage and cluster load.

12. Node Tuning and Performance Optimization:
    – Fine-tune and optimize node performance by adjusting kernel parameters, tuning container runtimes, and leveraging features like HugePages.

13. Advanced Scheduling:
    – Explore and implement custom scheduling policies using features like NodeSelectors, Taints, and Tolerations.

14. Custom Metrics and Alerts:
    – Set up custom metrics in Prometheus and create alerts based on specific application and cluster metrics.

15. Backup and Disaster Recovery:
    – Design and test a robust backup and disaster recovery strategy for OpenShift clusters.

16. LDAP/AD Integration:
    – Integrate OpenShift with LDAP or Active Directory for centralized user authentication and authorization.

17. Federated Clusters:
    – Experiment with OpenShift Federation to manage and orchestrate resources across multiple clusters.

18. Runtime Class and PodPresets:
    – Implement and experiment with Runtime Classes for specifying the runtime that should be used for a given pod.
    – Explore PodPresets for injecting additional configuration into pods at creation time.

19. Custom Metrics and Scaling:
    – Implement custom metrics APIs and use them for scaling applications using HPA.

20. Advanced Troubleshooting:
    – Develop and document advanced troubleshooting techniques for common issues, including using tools like `oc debug` and analyzing cluster logs.

These concepts and experiments should provide a challenging and enriching experience for OpenShift v4 administrators and architects looking to enhance their skills.

100 Shotrt Tips about OpenShift Internals:

1. Operators Framework: Automate the management of complex applications on OpenShift.
2. Custom Resource Definitions (CRDs): Extend Kubernetes capabilities with custom resources.
3. Advanced Networking: Understanding CNI (Container Network Interface) plugins, network policies, and multus.
4. Service Mesh: Implementing Istio for microservices communication and management.
5. Serverless with OpenShift Serverless: Using Knative for serverless applications.
6. OpenShift Pipelines: CI/CD with Tekton pipelines.
7. Advanced Monitoring and Logging: Using Prometheus, Grafana, and Elasticsearch.
8. Resource Quotas and Limit Ranges: Managing resource allocation and constraints.
9. Advanced Security: Role-based access control (RBAC), Security Context Constraints (SCC), and network policies.
10. OpenShift Virtualization: Running and managing virtual machines alongside containers.
11. GitOps with Argo CD: Implementing GitOps workflows.
12. High Availability and Disaster Recovery: Ensuring uptime and data integrity.
13. Stateful Applications: Managing stateful applications and databases.
14. Persistent Storage: Dynamic provisioning and storage classes.
15. Container Storage Interface (CSI): Integrating external storage solutions.
16. Node Affinity and Anti-Affinity: Scheduling control for pods.
17. Taints and Tolerations: Node-level scheduling constraints.
18. Horizontal and Vertical Pod Autoscaling: Auto-scaling applications based on load.
19. Custom Pod Autoscaler: Creating custom autoscaler logic.
20. Build Strategies: Understanding Source-to-Image (S2I), Docker, and custom build strategies.
21. Image Streams: Managing container images.
22. Registry Management: Internal and external registry integrations.
23. Multitenancy: Isolation and resource sharing between multiple users or teams.
24. OpenShift on Hybrid Cloud: Deploying on multiple cloud environments.
25. OpenShift on Bare Metal: Installation and management on bare-metal servers.
26. Edge Computing: Deploying OpenShift at the edge.
27. OpenShift Cluster Autoscaler: Automatic cluster scaling.
28. Machine Config Operator: Managing node configurations.
29. Etcd Backup and Restore: Ensuring data integrity of Kubernetes’ backing store.
30. Pod Disruption Budgets: Managing application availability during disruptions.
31. Advanced Routing: Subdomain, URL rewriting, and custom routing.
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