Red Hat OpenShift Administration I: Managing Containers and Kubernetes on OCP v4.18

Inquire now

Duration 5 days – 35 hrs

 

Overview

 

The Red Hat OpenShift Administration I – Managing Containers and Kubernetes on OCP v4.18 Training Course is a foundational hands-on training designed for IT professionals who want to learn how to deploy, manage, monitor, and troubleshoot containerized applications using Red Hat OpenShift Container Platform (OCP) v4.18.

 

This course introduces participants to Kubernetes and OpenShift core concepts, container management, application deployment, networking, storage, scaling, application reliability, and update management. Participants will gain practical experience using both the OpenShift web console and command-line interfaces to manage enterprise Kubernetes environments.

 

Through guided exercises, quizzes, and hands-on labs, learners will develop the essential administration skills required to operate OpenShift clusters and manage applications in modern cloud-native environments.

 

Objectives

 

  • Understand container, Kubernetes, and OpenShift concepts and architecture 
  • Navigate and manage OpenShift clusters using the web console and CLI tools 
  • Deploy and manage containerized applications and Kubernetes pods 
  • Monitor cluster health and inspect Kubernetes resources 
  • Configure networking and expose applications to external access 
  • Manage persistent storage and application configuration 
  • Configure application reliability, autoscaling, and high availability 
  • Manage application updates using image streams and image triggers 
  • Troubleshoot containers, pods, and application deployments 
  • Perform day-to-day OpenShift administration tasks in enterprise environments

 

Target Audience

 

  • OpenShift Administrators 
  • Kubernetes Administrators 
  • Linux System Administrators 
  • DevOps Engineers 
  • Cloud Engineers 
  • Platform Engineers 
  • Site Reliability Engineers (SREs) 
  • Application Support Engineers 
  • IT Operations Professionals

 

Prerequisites 

  • Basic Linux administration knowledge 
  • Familiarity with command-line interfaces 
  • Basic understanding of networking concepts 
  • Basic understanding of virtualization or container concepts is beneficial but not required 

 

Course Outline 

 

Module 1: Introduction to Kubernetes and OpenShift

 

  • Containers and Kubernetes 
  • Quiz: Containers and Kubernetes 
  • Red Hat OpenShift Components and Editions 
  • Quiz: Red Hat OpenShift Components and Editions 
  • Navigate the OpenShift Web Console 
  • Guided Exercise: Navigate the OpenShift Web Console 
  • Monitor an OpenShift Cluster 
  • Guided Exercise: Monitor an OpenShift Cluster 
  • Lab: Introduction to Kubernetes and OpenShift 
  • Quiz: Introduction to Kubernetes and OpenShift 
  • Summary 

 

Module 2: Kubernetes and OpenShift Command-line Interfaces and APIs

 

  • The Kubernetes and OpenShift Command-line Interfaces 
  • Guided Exercise: The Kubernetes and OpenShift Command-line Interfaces 
  • Inspect Kubernetes Resources 
  • Guided Exercise: Inspect Kubernetes Resources 
  • Assess the Health of an OpenShift Cluster 
  • Guided Exercise: Assess the Health of an OpenShift Cluster 
  • Lab: Kubernetes and OpenShift Command-line Interfaces and APIs 
  • Quiz: Kubernetes and OpenShift Command-line Interfaces and APIs 
  • Summary 

 

Module 3: Run Applications as Containers and Pods

 

  • Create Linux Containers and Kubernetes Pods 
  • Guided Exercise: Create Linux Containers and Kubernetes Pods 
  • Find and Inspect Container Images 
  • Guided Exercise: Find and Inspect Container Images 
  • Troubleshoot Containers and Pods 
  • Guided Exercise: Troubleshoot Containers and Pods 
  • Lab: Run Applications as Containers and Pods 
  • Quiz: Run Applications as Containers and Pods 
  • Summary 

 

Module 4: Deploy Managed and Networked Applications on Kubernetes

 

  • Deploy Applications from an Image and from a Template 
  • Guided Exercise: Deploy Applications from an Image and from a Template 
  • Manage Long-lived and Short-lived Applications by Using the Kubernetes Workload API 
  • Guided Exercise: Manage Long-lived and Short-lived Applications by Using the Kubernetes Workload API 
  • Kubernetes Pod and Service Networks 
  • Guided Exercise: Kubernetes Pod and Service Networks 
  • Scale and Expose Applications to External Access 
  • Guided Exercise: Scale and Expose Applications to External Access 
  • Lab: Deploy Managed and Networked Applications on Kubernetes 
  • Summary 

 

Module 5: Manage Storage for Application Configuration and Data

 

  • Externalize the Configuration of Applications 
  • Guided Exercise: Externalize the Configuration of Applications 
  • Provision Persistent Data Volumes 
  • Guided Exercise: Provision Persistent Data Volumes 
  • Selecting a Storage Class for an Application 
  • Guided Exercise: Selecting a Storage Class for an Application 
  • Manage Non-shared Storage with Stateful Sets 
  • Guided Exercise: Manage Non-shared Storage with Stateful Sets 
  • Lab: Manage Storage for Application Configuration and Data 
  • Summary 

 

Module 6: Configure Applications for Reliability

 

  • Application High Availability with Kubernetes 
  • Guided Exercise: Application High Availability with Kubernetes 
  • Application Health Probes 
  • Guided Exercise: Application Health Probes 
  • Reserving Compute Capacity for Applications 
  • Guided Exercise: Reserving Compute Capacity for Applications 
  • Limit Compute Capacity for Applications 
  • Guided Exercise: Limit Compute Capacity for Applications 
  • Application Autoscaling 
  • Guided Exercise: Application Autoscaling 
  • Lab: Configure an Application for Reliability 
  • Quiz: Configure an Application for Reliability 
  • Summary 

 

Module 7: Manage Application Updates

 

  • Container Image Identity and Tags 
  • Guided Exercise: Container Image Identity and Tags 
  • Update Application Image and Settings 
  • Guided Exercise: Update Application Image and Settings 
  • Reproducible Deployments with OpenShift Image Streams 
  • Guided Exercise: Reproducible Deployments with OpenShift Image Streams 
  • Automatic Image Updates with OpenShift Image Change Triggers 
  • Guided Exercise: Automatic Image Updates with OpenShift Image Change Triggers 
  • Lab: Manage Application Updates 
  • Summary 

 

Module 8: Comprehensive Review

 

  • Comprehensive Review 
  • Lab: Deploy Web Applications 
  • Lab: Troubleshoot and Scale Applications 

 

Inquire now

Best selling courses

The Data Analytics with DAX, Python, SQL, and Business Intelligence Tools Training Course provides participants with practical knowledge and skills for collecting, preparing, analyzing, modeling, and visualizing data to support informed business decision-making. The course combines key data analytics technologies and techniques, including Python, SQL, DAX (Data Analysis Expressions), Power BI, data modeling, data transformation,...

The Project Management – SDLC (Software Project Management: The Complete Course) Training Course is a comprehensive program designed to equip project managers, software development leaders, business analysts, product owners, and IT professionals with the knowledge and practical skills required to successfully manage software development projects throughout the entire Software Development Life Cycle (SDLC). This course...

Warehouse Operations and Inventory Management Training Course     Duration 2 Days – 14 hrs.   Overview   This course provides a practical understanding of warehouse operations and inventory management for personnel who supervise, review, or audit warehouse processes. It covers the movement of goods from receiving through dispatch, with emphasis on warehouse layout, storage systems, picking strategies, stock rotation, inventory accuracy, and operational controls.   Participants will learn to identify process weaknesses, investigate stock discrepancies, reduce shrinkage, and interpret warehouse productivity indicators. The course connects day-to-day warehouse activities with the records, controls, and performance measures needed for effective supervision and auditing.   Objectives  

  • Explain warehouse processes and their impact on inventory accuracy and service performance.
  • Evaluate warehouse layouts, storage systems, and product locations.
  • Identify appropriate controls for receiving, put-away, storage, picking, and dispatch.
  • Apply First-In, First-Out (FIFO) and First-Expired, First-Out (FEFO) principles.
  • Compare picking strategies based on order characteristics and operational requirements.
  • Identify causes of inventory discrepancies and recommend corrective actions.
  • Develop a cycle counting approach based on inventory value, movement, and risk.
  • Recognize sources of shrinkage and recommend preventive and detective controls.
  • Interpret warehouse productivity and inventory performance KPIs.
  • Review warehouse processes using supporting records, observations, and control evidence.
        Target Audience  
  • Warehouse supervisors, team leaders, and managers.
  • Inventory controllers and stock control personnel.
  • Logistics and distribution supervisors.
  • Internal auditors and operational compliance personnel.
  • Supply chain and operations professionals.
  • Personnel responsible for reviewing warehouse controls and performance.
  Prerequisites  
  • Basic familiarity with warehouse, logistics, or inventory activities.
  • General understanding of business processes and operational documentation.
  • Basic numerical skills, including percentages and simple calculations.
  • Basic spreadsheet skills are helpful.
  • No prior experience with a specific Warehouse Management System (WMS) is required.
   

Course Outline

  Day 1: Warehouse Processes, Layout, and Storage Controls Module 1: Warehouse Operations and Process Controls  
  • Warehouse roles within the supply chain.
  • End-to-end flow: receiving, put-away, storage, replenishment, picking, packing, and dispatch.
  • Physical stock movement and corresponding system transactions.
  • Responsibilities, authorization, and segregation of duties.
  • Common operational weaknesses and audit evidence.
  Module 2: Warehouse Layout and Storage Systems  
  • Functional zones, movement paths, and space utilization.
  • Receiving, storage, picking, staging, and dispatch areas.
  • Storage options: floor stacking, shelving, pallet racking, and bin storage.
  • Fixed and dynamic location systems.
  • Product slotting based on movement, size, handling needs, and compatibility.
  • Layout bottlenecks and their effects on productivity and inventory control.
  Module 3: Receiving and Put-Away  
  • Purchase orders, delivery documents, and expected receipts.
  • Quantity, condition, and item identification checks.
  • Recording shortages, overages, damage, and discrepancies.
  • Controls for acceptance, quarantine, and release.
  • Put-away rules and location confirmation.
  • Traceability through labels, barcodes, lot numbers, and serial numbers.
  • Timely recording of receipts and stock movements.
  Module 4: Storage, Stock Rotation, and Replenishment  
  • Storage discipline and location integrity.
  • FIFO and FEFO principles, applications, and limitations.
  • Batch, lot, and expiry-date management.
  • Controls for slow-moving, obsolete, damaged, and expired stock.
  • Replenishment of picking locations.
  • Supervision and review of stock rotation compliance.
    Day 2: Order Fulfillment and Inventory Accuracy Module 5: Picking Strategies and Order Fulfillment  
  • Discrete, batch, zone, and wave picking.
  • Selecting picking strategies for different order profiles.
  • Pick paths, location sequencing, and travel reduction.
  • Replenishment coordination and stock availability.
  • Picking verification and error prevention.
  • Packing, staging, and dispatch confirmation.
  • Handling short picks, substitutions, cancellations, and returns.
  Module 6: Inventory Records and Accuracy Controls  
  • Item master data, units of measure, and location records.
  • On-hand, available, allocated, and quarantined stock.
  • Transaction controls for receipts, transfers, issues, returns, and adjustments.
  • Common causes of physical and system stock mismatches.
  • Barcode scanning and WMS control points.
  • Inventory reconciliation and supporting documentation.
  • Measuring inventory accuracy and interpreting discrepancies.
  Module 7: Cycle Counting and Physical Inventory  
  • Cycle counting versus full physical inventory.
  • ABC classification and risk-based count priorities.
  • Count frequency based on value, movement, and discrepancy history.
  • Count preparation, blind counting, and movement controls.
  • Recounts, variance investigation, and adjustment approval.
  • Root cause analysis and corrective action follow-up.
  • Reviewing the effectiveness of the counting program.
  Module 8: Shrinkage Reduction and Inventory Protection  
  • Sources of shrinkage: loss, damage, theft, misplacement, and recording errors.
  • Access controls and accountability for stock movements.
  • Controls for high-value and sensitive inventory.
  • Returns, write-offs, scrap, and disposal controls.
  • Exception reporting and unusual transaction patterns.
  • Investigating recurring losses and unexplained adjustments.
  • Preventive and detective controls for shrinkage reduction.
    Day 3: Performance Management, Process Review, and Improvement Module 9: Warehouse Productivity and Inventory KPIs  
  • Receiving productivity and dock-to-stock time.
  • Put-away productivity and replenishment performance.
  • Picking productivity and order accuracy.
  • Inventory accuracy and cycle count variance.
  • Space utilization and storage capacity.
  • Shrinkage, damage, and expiry indicators.
  • Defining KPI formulas, data sources, and reporting boundaries.
  • Interpreting trends while balancing speed, accuracy, and service.
      Module 10: Supervising and Auditing Warehouse Processes  
  • Process mapping and identification of critical control points.
  • Reviewing procedures against actual warehouse practices.
  • Tracing transactions from documents to systems and physical stock.
  • Reviewing approvals, access rights, and segregation of duties.
  • Identifying control gaps and recurring process exceptions.
  • Documenting findings with clear supporting evidence.
  • Prioritizing corrective actions and tracking closure.
  Module 11: Warehouse Improvement Planning  
  • Identifying bottlenecks, unnecessary movement, and rework.
  • Improving layout, slotting, and picking arrangements.
  • Addressing inventory discrepancy root causes.
  • Standardizing transaction recording and exception handling.
  • Assigning improvement owners and measurable targets.
  • Monitoring results and sustaining operational improvements.
  Module 12: Capstone — Warehouse Operations and Inventory Improvement Plan  
  • Review a warehouse scenario containing layout, transaction, inventory, and performance information.
  • Identify weaknesses across receiving, put-away, storage, picking, and dispatch.
  • Recommend appropriate FIFO or FEFO controls.
  • Develop a cycle counting and inventory reconciliation plan.
  • Propose controls to reduce shrinkage and improve traceability.
  • Select relevant KPIs and define their calculation and reporting requirements.
  • Produce a prioritized improvement plan with responsibilities and expected outcomes.
 

This course develops the foundational knowledge and practical skills needed to configure, administer, and maintain the ServiceNow platform. Participants explore platform navigation, instance configuration, application collaboration, self-service, automation, database management, security, and configuration migration. The proposed five-day duration accommodates foundational learning, configuration activities, and an integrated capstone. Duration 5 Days – 35 hrs.   Objectives...

Duration: 5 days – 35 hrs   Overview The “SOC Network and Threat Detection and Analysis” training course is designed to equip Security Operations Center (SOC) analysts and IT security professionals with the skills and knowledge required to detect, analyze, and respond to network threats effectively. This comprehensive course covers essential topics such as threat...

Duration 1 day – 7 hrs   Overview   This 1-day training builds upon basic warehouse operations knowledge and introduces key logistics concepts involved in the movement and coordination of goods—especially wet and dry food items—within and outside the warehouse. Participants will explore transport logistics, inbound and outbound coordination, documentation practices, and cold chain considerations,...

Duration 2 days – 14 hrs   Overview   This hands-on course provides an introduction to Splunk, a powerful platform for searching, monitoring, and analyzing machine-generated data. The training focuses on how developers and QA professionals can leverage Splunk to gain insights from logs and metrics, improve application observability, detect anomalies, and support test validation....

Duration 3 days – 21 hrs   Overview.   This course is designed for fresh graduates aspiring to build a career in Data Science. It introduces the fundamentals of data science, focusing on data analysis, visualization, and basic machine learning concepts using Python. The course provides hands-on practice with real-world datasets, equipping participants with the...

// BG EARTH WHEN NOT PLAYING

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