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Course Outline
Overview of Container Technologies and OpenShift Platform
- Course structure and established learning outcomes
- Comparative analysis of containerized environments versus virtual machines
- Architectural framework and core components of the OpenShift platform
Container Image Management and Registry Operations
- Construction of Dockerfiles and Podman configurations for image generation
- Management of image tags, layers, and optimization strategies for efficiency
- Integration of container registries and execution of image pull operations within OpenShift
Foundational Kubernetes Principles
- Lifecycle management of Pods, ReplicaSets, and Deployments
- Application of labels, selectors, and resource allocation constraints
- Implementation of Namespaces, quota policies, and scheduling mechanisms
Application Deployment on OpenShift
- Utilization of OpenShift projects, BuildConfigs, and ImageStreams
- Administration via the oc command-line interface and web console
- Execution of rolling updates, rollbacks, and deployment strategies
Networking Services and External Accessibility
- Configuration of ClusterIP, NodePort, and LoadBalancer service types
- Establishment of OpenShift routes to facilitate external access patterns
- Implementation of Network policies and resolution of connectivity issues
Data Persistence and Configuration Management
- Provisioning of PersistentVolumes, PersistentVolumeClaims, and storage classes
- Administration of application settings via ConfigMaps and Secrets
- Management of stateful applications and protocols for backup and recovery
Security Posture, Observability, and Incident Resolution
- Enforcement of Role-Based Access Control (RBAC), service accounts, and security contexts
- Oversight through metrics collection, log aggregation, and health verification
- Standard operating procedures for troubleshooting and incident response
Program Conclusion and Future Actions for government
Requirements
Skill Prerequisites
- Fundamental proficiency in the Linux command-line interface.
- Working knowledge of core software development principles.
- Comprehensive understanding of network infrastructure and protocols.
Intended Audience
Target Participants
- Software engineers tasked with application containerization.
- Platform engineering and operations personnel.
- DevOps specialists deploying OpenShift-centric automation pipelines for government applications.
35 Hours
Testimonials (3)
About the microservices and how to maintenance kubernetes
Yufri Isnaini Rochmat Maulana - Bank Indonesia
Course - Advanced Platform Engineering: Scaling with Microservices and Kubernetes
How trainer deliver knowledge so effectively
Vu Thoai Le - Reply Polska sp. z o. o.
Course - Certified Kubernetes Administrator (CKA) - exam preparation
The knowledge and the patience from the trainer to answer to our questions.