Red Hat OpenShift Administration III: Scaling Deployments in the Enterprise

Inquire now

Duration 5 days – 35 hrs

 

Overview

 

The Red Hat OpenShift Administration III: Scaling Deployments in the Enterprise Training Course is an advanced-level program designed for IT professionals responsible for managing and scaling enterprise container platforms using Red Hat OpenShift. This course focuses on large-scale OpenShift cluster administration, automation, performance optimization, monitoring, security, and high availability in enterprise environments.

 

Participants will learn how to manage multi-node OpenShift clusters, automate deployment operations, implement enterprise-grade security controls, optimize workloads, configure cluster scaling strategies, and maintain resilient OpenShift environments. The course also covers advanced troubleshooting, monitoring, logging, and GitOps-based deployment practices commonly used in modern enterprise Kubernetes operations.

 

This hands-on training provides practical labs and real-world enterprise scenarios to help administrators confidently manage production-grade OpenShift infrastructures.

 

Objectives

 

  • Understand advanced OpenShift enterprise architecture and scaling concepts 
  • Manage and scale OpenShift clusters in enterprise environments 
  • Configure and manage node pools, machine sets, and cluster autoscaling 
  • Implement advanced application deployment and workload management strategies 
  • Automate OpenShift administrative tasks using CLI and automation tools 
  • Configure enterprise-grade monitoring, logging, and alerting 
  • Manage OpenShift networking, ingress, routes, and service mesh concepts 
  • Implement OpenShift security, RBAC, SCCs, and compliance controls 
  • Optimize cluster performance and resource utilization 
  • Deploy and manage highly available and resilient OpenShift environments 
  • Implement GitOps and CI/CD integration for enterprise deployments 
  • Troubleshoot complex OpenShift cluster and application issues

Target Audience

 

  • OpenShift Administrators 
  • Kubernetes Administrators 
  • Linux System Administrators 
  • DevOps Engineers 
  • Cloud Engineers 
  • Site Reliability Engineers (SREs) 
  • Platform Engineers 
  • Infrastructure Engineers 
  • Enterprise Application Administrators 
  • IT Operations Teams managing container platforms

 

Prerequisites 

  • Basic to intermediate knowledge of Linux administration 
  • Prior experience with containers and Kubernetes concepts 
  • Working knowledge of Red Hat OpenShift administration 
  • Familiarity with networking and enterprise infrastructure concepts 
  • Basic understanding of DevOps and CI/CD principles 
  • Completion of OpenShift Administration I & II or equivalent experience is highly recommended

 

Course Outline 

 

Module 1: Advanced OpenShift Enterprise Architecture

 

  • Review of OpenShift core architecture 
  • Enterprise cluster design considerations 
  • Control plane and worker node architecture 
  • Infrastructure nodes and workload separation 
  • Multi-zone and multi-region deployment concepts 
  • OpenShift enterprise deployment models 

 

Module 2: Scaling OpenShift Clusters

 

  • Cluster scaling strategies 
  • Manual and automatic cluster scaling 
  • MachineSets and MachineAutoscaler 
  • Cluster Autoscaler configuration 
  • Scaling worker nodes and workloads 
  • Managing node pools 
  • Capacity planning and resource forecasting 

 

Module 3: Advanced Workload Management

 

  • Resource quotas and limit ranges 
  • Pod scheduling strategies 
  • Taints and tolerations 
  • Affinity and anti-affinity rules 
  • Pod disruption budgets 
  • Horizontal Pod Autoscaler (HPA) 
  • Vertical Pod Autoscaler (VPA) 
  • Optimizing application resource utilization 

 

Module 4: OpenShift Networking and Traffic Management

 

  • Advanced SDN concepts 
  • OpenShift networking architecture 
  • Routes and ingress controllers 
  • External load balancing integration 
  • Network policies and segmentation 
  • DNS management 
  • Introduction to service mesh 
  • Securing east-west and north-south traffic 

 

Module 5: Enterprise Storage Management

 

  • Persistent storage concepts 
  • Dynamic storage provisioning 
  • Storage classes and CSI drivers 
  • Managing persistent volumes and claims 
  • Stateful applications in OpenShift 
  • Backup and recovery strategies 
  • Enterprise storage integration 

 

Module 6: OpenShift Security and Compliance

 

  • Advanced RBAC management 
  • Security Context Constraints (SCC) 
  • Identity providers and authentication 
  • OAuth configuration 
  • Secrets and configuration management 
  • Image security and scanning 
  • Compliance Operator overview 
  • Security best practices for enterprise clusters 

 

Module 7: Monitoring, Logging, and Alerting

 

  • OpenShift monitoring stack overview 
  • Prometheus and Grafana 
  • Cluster metrics and dashboards 
  • Alertmanager configuration 
  • Centralized logging with Loki/EFK 
  • Log aggregation and analysis 
  • Monitoring application performance 
  • Troubleshooting using logs and metrics 

 

Module 8: Automation and GitOps

 

  • OpenShift CLI advanced usage 
  • Automating tasks using scripts 
  • Introduction to Ansible Automation Platform 
  • GitOps concepts and workflows 
  • Argo CD deployment and management 
  • Managing declarative configurations 
  • CI/CD pipeline integration 
  • Automated deployment strategies 

 

Module 9: High Availability and Disaster Recovery

 

  • Designing highly available OpenShift clusters 
  • Control plane resiliency 
  • Backup and restore operations 
  • Disaster recovery planning 
  • Multi-cluster strategies 
  • Failover and recovery testing 
  • Business continuity considerations 

 

Module 10: Performance Optimization and Troubleshooting

 

  • Performance tuning techniques 
  • Cluster resource optimization 
  • Diagnosing node issues 
  • Troubleshooting networking problems 
  • Troubleshooting application deployments 
  • Investigating storage-related issues 
  • OpenShift debugging tools 
  • Best practices for operational stability 

 

Module 11: Enterprise Operations Best Practices

 

  • Governance and operational standards 
  • Environment lifecycle management 
  • Managing upgrades and patches 
  • Change management practices 
  • OpenShift operational runbooks 
  • Enterprise support and maintenance strategies 
  • Documentation and operational reporting 

 

Hands-On Labs and Practical Exercises

 

  • Scaling OpenShift clusters 
  • Configuring autoscaling policies 
  • Managing enterprise workloads 
  • Implementing RBAC and security policies 
  • Deploying GitOps workflows 
  • Configuring monitoring and logging 
  • Troubleshooting enterprise cluster issues 
  • Performing backup and recovery operations 
  • Optimizing OpenShift performance in enterprise scenarios

 

Inquire now

Best selling courses

Duration 3 days – 21 hrs   Overview    This Portfolio Management Training Course is designed to provide banking professionals with a comprehensive understanding of how to effectively manage investment and credit portfolios. Participants will gain insights into strategic allocation, performance measurement, risk management, and optimization of banking portfolios to align with regulatory requirements and...

Duration 2 days – 14 hrs   Overview   This comprehensive Planning and Forecasting Training Course is designed to empower professionals with the tools and techniques necessary to accurately predict future outcomes and develop strategic, operational, and financial plans. The course provides a structured approach to planning and forecasting, integrating both qualitative and quantitative methods....

Duration 3 days – 21 hours   Overview   This Beginner-to-Intermediate PostgreSQL Training Course is designed to build strong foundational skills in PostgreSQL while preparing participants to confidently work with real-world database tasks in modern environments.   Participants will learn how PostgreSQL works, how to write efficient SQL queries, how to design and manage database...

RISK MANAGEMENT

Liquidity Risk Management

Duration 5 days – 35 hrs   Overview.   This Liquidity Risk Management Training Course is tailored for banking professionals in the Philippines, focusing on the skills and knowledge necessary to manage liquidity risk effectively. Participants will learn how to assess liquidity risk, apply regulatory standards, and develop strategies to maintain adequate cash flow and...

Duration 5 days – 35 hrs   Overview    This 5-day advanced training course is designed for senior PMO leaders, program managers, PMO directors, and executives aiming to enhance their leadership capabilities and transform their PMOs into strategic business drivers. The course will explore advanced concepts in PMO strategy, digital transformation, innovation, business case development,...

TRAINOSYS CUSTOMIZED COURSE

Data Analytics from SQL to Power BI

The “Data Analytics from SQL to Power BI” training course is a comprehensive program designed to equip participants with the knowledge and skills necessary to analyze and visualize data using SQL and Power BI. Over the course of five days, participants will learn essential data analytics concepts, master SQL querying techniques for data retrieval and...

Duration 2 days – 14 hrs   Overview   This course provides a comprehensive understanding of the Anti-Money Laundering Act (AMLA) of the Philippines and techniques for identifying and handling counterfeit money. It equips participants with the knowledge to detect suspicious transactions, fulfill AML compliance obligations, and mitigate financial crime risks. Real-world case studies, regulatory...

Duration 2 days – 14 hrs   Overview   This course introduces participants to the principles and tools of data visualization and dashboard design. It focuses on transforming raw data into compelling, clear, and actionable visuals that support decision-making. Participants will explore visualization best practices, storytelling techniques, and hands-on tools (such as Excel, Power BI,...

We use cookies on our website to personalize your experience by storing your preferences and recognizing repeat visits. By clicking “Accept”, you agree to the use of all cookies. You can also select “Cookie Settings” to adjust your preferences and provide more specific consent. Cookie Policy