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Mastering Modern Cloud Infrastructure with Red Hat Technologies

Mastering Modern Cloud Infrastructure with Red Hat Technologies

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Mastering Modern Cloud Infrastructure with Red Hat Technologies

Mastering Modern Cloud Infrastructure with Red Hat Technologies

Unlock the full potential of cloud computing with Red Hat technologies. This comprehensive course provides you with the knowledge and hands-on skills to design, implement, and manage modern cloud infrastructure solutions. Benefit from an Interactive, Engaging, and Personalized learning experience, guided by Expert Instructors and designed to equip you with Real-world Applications. Upon completion, receive a prestigious CERTIFICATE issued by The Art of Service, validating your expertise in Red Hat cloud technologies.

Our curriculum is built for Flexible Learning, offering User-Friendly modules, accessible via Mobile, fostered by a strong Community-Driven environment. Learn with Actionable Insights, gain experience through Hands-on Projects, enjoy Bite-Sized Lessons, and receive Lifetime Access to course materials, along with Gamification elements and Progress Tracking to enhance your learning journey. Stay ahead with Up-to-Date content and Practical exercises that reflect current industry best practices. High-Quality Content is our promise.



Course Curriculum

Module 1: Introduction to Cloud Computing and Red Hat Technologies

  • Overview of Cloud Computing: Understanding the fundamentals, benefits, and deployment models (IaaS, PaaS, SaaS).
  • Introduction to Red Hat Ecosystem: Exploring Red Hat's product portfolio and its role in cloud infrastructure.
  • Open Source Principles in Cloud: Understanding the importance of open source in cloud innovation.
  • Red Hat Enterprise Linux (RHEL) Basics: Essential RHEL commands, file system navigation, and user management.
  • Lab Setup: Setting up your Red Hat environment for hands-on practice.

Module 2: Virtualization with Red Hat Virtualization (RHV)

  • Virtualization Concepts: Understanding virtualization technologies and their benefits.
  • RHV Architecture: Exploring the components of Red Hat Virtualization (RHV) – Manager, Hypervisors, Storage.
  • RHV Installation and Configuration: Step-by-step guide to installing and configuring RHV Manager and Hypervisors.
  • Creating and Managing Virtual Machines: Creating, configuring, and managing virtual machines in RHV.
  • Networking in RHV: Configuring virtual networks, bridges, and VLANs.
  • Storage Management in RHV: Understanding storage domains and managing storage in RHV.
  • High Availability and Live Migration: Configuring HA and performing live migration of VMs.
  • Troubleshooting RHV: Identifying and resolving common issues in RHV environments.
  • Hands-on Project: Building a virtualized environment with multiple VMs and configuring HA.

Module 3: Containerization with Red Hat OpenShift

  • Introduction to Containers: Understanding containerization and its advantages over traditional virtualization.
  • Docker Basics: Working with Docker images, containers, and Dockerfiles.
  • Introduction to Kubernetes: Understanding Kubernetes architecture and components.
  • OpenShift Architecture: Exploring the components of Red Hat OpenShift Container Platform (OCP).
  • OpenShift Installation and Configuration: Deploying OpenShift on various platforms (e.g., AWS, Azure, on-premise).
  • OpenShift CLI (oc): Using the OpenShift command-line interface for managing applications.
  • Deploying Applications in OpenShift: Deploying applications using various methods (e.g., YAML files, web console).
  • Managing Applications in OpenShift: Scaling, updating, and monitoring applications in OpenShift.
  • Networking in OpenShift: Understanding OpenShift networking concepts and configuring network policies.
  • Storage in OpenShift: Configuring persistent volumes and claims for stateful applications.
  • Security in OpenShift: Implementing security measures in OpenShift (e.g., RBAC, security context constraints).
  • OpenShift Operators: Understanding and using OpenShift Operators to automate application management.
  • Hands-on Project: Deploying a multi-tier application on OpenShift with persistent storage and scaling capabilities.

Module 4: Automation with Red Hat Ansible Automation Platform

  • Introduction to Ansible: Understanding Ansible's architecture, benefits, and use cases.
  • Ansible Installation and Configuration: Setting up Ansible control node and managed nodes.
  • Ansible Inventory: Managing and organizing managed nodes in Ansible.
  • Ansible Playbooks: Writing Ansible playbooks to automate tasks.
  • Ansible Modules: Using Ansible modules to perform various tasks (e.g., package management, service management).
  • Ansible Variables: Using variables in Ansible playbooks for dynamic configuration.
  • Ansible Conditionals and Loops: Implementing conditional logic and loops in Ansible playbooks.
  • Ansible Roles: Creating reusable Ansible roles for modular automation.
  • Ansible Vault: Managing sensitive data (e.g., passwords, API keys) with Ansible Vault.
  • Ansible Tower/Automation Platform: Understanding Ansible Tower/Automation Platform for centralized automation management.
  • Hands-on Project: Automating the deployment and configuration of a web server using Ansible.

Module 5: Configuration Management with Red Hat Satellite

  • Introduction to Red Hat Satellite: Understanding Red Hat Satellite's role in configuration management.
  • Satellite Architecture: Exploring the components of Red Hat Satellite – Server, Capsule Server, Content Views.
  • Satellite Installation and Configuration: Setting up Red Hat Satellite Server and Capsule Servers.
  • Content Management in Satellite: Managing software repositories, errata, and content views.
  • System Registration and Management: Registering and managing RHEL systems with Satellite.
  • Patch Management with Satellite: Applying security patches and updates to RHEL systems using Satellite.
  • Configuration Management with Satellite: Configuring systems using Puppet modules in Satellite.
  • Reporting and Monitoring with Satellite: Generating reports and monitoring system status in Satellite.
  • Hands-on Project: Managing a fleet of RHEL systems with Red Hat Satellite, including patch management and configuration management.

Module 6: Infrastructure as Code (IaC) with Terraform and Red Hat Technologies

  • Introduction to Infrastructure as Code (IaC): Understanding the principles and benefits of IaC.
  • Terraform Basics: Understanding Terraform's architecture, configuration language (HCL), and workflow.
  • Terraform Installation and Configuration: Setting up Terraform and configuring providers (e.g., AWS, Azure, Red Hat).
  • Terraform Resources: Defining and managing infrastructure resources with Terraform.
  • Terraform Modules: Creating reusable Terraform modules for modular infrastructure deployment.
  • Terraform Variables and Outputs: Using variables and outputs in Terraform configurations.
  • Terraform State Management: Managing Terraform state files and collaboration with Terraform.
  • Integrating Terraform with Red Hat Technologies: Using Terraform to provision and manage Red Hat Virtualization, OpenShift, and other Red Hat services.
  • Hands-on Project: Building a complete cloud infrastructure using Terraform and deploying a Red Hat OpenShift cluster.

Module 7: Monitoring and Logging with Prometheus and Grafana

  • Introduction to Monitoring and Logging: Understanding the importance of monitoring and logging in cloud environments.
  • Prometheus Basics: Understanding Prometheus architecture, data model, and query language (PromQL).
  • Prometheus Installation and Configuration: Setting up Prometheus and configuring exporters.
  • Monitoring Red Hat Infrastructure with Prometheus: Monitoring RHEL systems, RHV, and OpenShift with Prometheus.
  • Grafana Basics: Understanding Grafana's architecture and dashboarding capabilities.
  • Grafana Installation and Configuration: Setting up Grafana and connecting to Prometheus.
  • Creating Grafana Dashboards: Building custom Grafana dashboards to visualize metrics from Prometheus.
  • Alerting with Prometheus and Alertmanager: Configuring alerts based on Prometheus metrics and routing them with Alertmanager.
  • Logging with EFK Stack (Elasticsearch, Fluentd, Kibana): Collecting, processing, and visualizing logs with the EFK stack.
  • Hands-on Project: Setting up a monitoring and logging solution for a Red Hat OpenShift environment using Prometheus, Grafana, and the EFK stack.

Module 8: Security Best Practices for Red Hat Cloud Infrastructure

  • Introduction to Cloud Security: Understanding cloud security challenges and best practices.
  • Identity and Access Management (IAM): Implementing IAM policies for secure access to cloud resources.
  • Network Security: Configuring network security groups, firewalls, and VPNs.
  • Data Encryption: Implementing data encryption at rest and in transit.
  • Vulnerability Management: Scanning for vulnerabilities and applying security patches.
  • Compliance and Auditing: Meeting compliance requirements and conducting security audits.
  • Security Hardening for RHEL: Implementing security hardening measures for Red Hat Enterprise Linux.
  • Security Hardening for OpenShift: Implementing security hardening measures for Red Hat OpenShift.
  • Security Incident Response: Developing a security incident response plan.
  • Hands-on Project: Implementing a comprehensive security strategy for a Red Hat cloud infrastructure, including IAM, network security, data encryption, and vulnerability management.

Module 9: Advanced OpenShift Administration

  • Advanced Networking in OpenShift: Deep dive into SDN, OVN, and advanced network policies.
  • Custom Resource Definitions (CRDs) and Operators: Creating and managing CRDs and developing custom Operators.
  • Advanced Storage Configuration: Understanding and configuring advanced storage options like Rook-Ceph.
  • OpenShift Pipelines with Tekton: Implementing CI/CD pipelines using Tekton.
  • Service Mesh with Istio: Implementing service mesh for improved observability and security.
  • OpenShift Monitoring with Thanos: Scaling Prometheus monitoring with Thanos.
  • Disaster Recovery in OpenShift: Implementing disaster recovery strategies for OpenShift.
  • Hands-on Project: Implementing a complex multi-service application with advanced networking, storage, and security features in OpenShift.

Module 10: Cloud-Native Application Development with Red Hat Technologies

  • Introduction to Cloud-Native Architecture: Understanding microservices, containers, and DevOps.
  • Building Microservices with Spring Boot: Developing microservices using Spring Boot framework.
  • Containerizing Microservices with Docker: Packaging microservices into Docker containers.
  • Deploying Microservices to OpenShift: Deploying and managing microservices on OpenShift.
  • Service Discovery and Load Balancing: Implementing service discovery and load balancing for microservices.
  • API Management with 3scale: Managing APIs with Red Hat 3scale API Management Platform.
  • Event-Driven Architecture with Apache Kafka: Implementing event-driven architecture with Apache Kafka.
  • Hands-on Project: Building a cloud-native application with multiple microservices, deployed on OpenShift and managed with 3scale and Kafka.

Module 11: Hybrid Cloud with Red Hat Advanced Cluster Management (ACM)

  • Introduction to Hybrid Cloud: Understanding hybrid cloud concepts and benefits.
  • Red Hat Advanced Cluster Management (ACM) Architecture: Exploring ACM's components and functionalities.
  • Installing and Configuring ACM: Setting up ACM to manage multiple OpenShift clusters.
  • Cluster Lifecycle Management: Creating, importing, and managing OpenShift clusters with ACM.
  • Policy Management: Implementing and enforcing policies across multiple clusters with ACM.
  • Application Lifecycle Management: Deploying and managing applications across multiple clusters with ACM.
  • Observability and Monitoring: Monitoring the health and performance of multiple clusters with ACM.
  • Governance and Compliance: Implementing governance and compliance policies across multiple clusters with ACM.
  • Hands-on Project: Managing a hybrid cloud environment with multiple OpenShift clusters using Red Hat Advanced Cluster Management.

Module 12: Serverless Computing with Red Hat Knative

  • Introduction to Serverless Computing: Understanding serverless concepts and benefits.
  • Knative Architecture: Exploring Knative's components and functionalities.
  • Installing Knative on OpenShift: Setting up Knative on an OpenShift cluster.
  • Building Serverless Functions with Knative: Developing serverless functions with Knative.
  • Deploying Serverless Functions to Knative: Deploying and managing serverless functions on Knative.
  • Eventing with Knative: Implementing event-driven serverless applications with Knative.
  • Scaling and Autoscaling with Knative: Configuring autoscaling for serverless functions in Knative.
  • Hands-on Project: Building a serverless application with Knative, deployed on OpenShift and integrated with eventing and autoscaling.

Module 13: Edge Computing with Red Hat OpenShift

  • Introduction to Edge Computing: Understanding edge computing concepts and use cases.
  • Challenges of Edge Computing: Addressing connectivity, security, and resource constraints at the edge.
  • Red Hat OpenShift at the Edge: Deploying OpenShift on edge devices and locations.
  • Managing Edge Devices with Red Hat Device Edge: Using Red Hat Device Edge for device management and application deployment.
  • Securing Edge Deployments: Implementing security measures for edge deployments.
  • Optimizing Applications for the Edge: Developing lightweight and efficient applications for the edge.
  • Hands-on Project: Deploying a Red Hat OpenShift cluster at the edge and managing it with Red Hat Device Edge, including security and optimization considerations.

Module 14: Data Science and Machine Learning with Red Hat OpenShift

  • Introduction to Data Science and Machine Learning: Understanding the basics of data science and machine learning.
  • Red Hat OpenShift for Data Science: Using OpenShift for data science and machine learning workflows.
  • Jupyter Notebooks on OpenShift: Running Jupyter notebooks on OpenShift for data exploration and analysis.
  • Machine Learning Models with TensorFlow and PyTorch: Training and deploying machine learning models with TensorFlow and PyTorch.
  • Serving Models with Seldon Core: Deploying and managing machine learning models with Seldon Core on OpenShift.
  • Automating Machine Learning with Kubeflow: Using Kubeflow to automate machine learning workflows on OpenShift.
  • Hands-on Project: Building a machine learning pipeline on Red Hat OpenShift using Kubeflow and Seldon Core, including model training and deployment.

Module 15: Continuous Integration and Continuous Delivery (CI/CD) with Red Hat OpenShift

  • Introduction to CI/CD: Understanding CI/CD principles and benefits.
  • CI/CD Pipelines with Jenkins: Setting up Jenkins on OpenShift for CI/CD workflows.
  • CI/CD Pipelines with Tekton: Implementing CI/CD pipelines with Tekton on OpenShift.
  • GitOps with Argo CD: Implementing GitOps principles with Argo CD on OpenShift.
  • Automated Testing: Integrating automated testing into CI/CD pipelines.
  • Release Management: Managing releases and deployments with CI/CD tools.
  • Hands-on Project: Building a CI/CD pipeline for a cloud-native application on Red Hat OpenShift using Jenkins or Tekton, including automated testing and deployment.

Module 16: Cost Management and Optimization in Red Hat Cloud Environments

  • Introduction to Cloud Cost Management: Understanding the importance of cost management in cloud environments.
  • Cost Monitoring and Analysis: Using tools and techniques to monitor and analyze cloud costs.
  • Cost Optimization Strategies: Implementing strategies to optimize cloud costs.
  • Resource Right-Sizing: Optimizing resource allocation to reduce costs.
  • Reserved Instances and Spot Instances: Utilizing reserved instances and spot instances for cost savings.
  • Automation and Orchestration for Cost Management: Automating cost management tasks with tools like Ansible and Terraform.
  • Hands-on Project: Implementing cost management and optimization strategies for a Red Hat cloud environment, including cost monitoring, resource right-sizing, and automation.

Module 17: Troubleshooting and Performance Tuning Red Hat Cloud Infrastructure

  • Introduction to Troubleshooting: Understanding troubleshooting methodologies and tools.
  • Troubleshooting RHEL: Diagnosing and resolving common issues in Red Hat Enterprise Linux.
  • Troubleshooting RHV: Diagnosing and resolving common issues in Red Hat Virtualization.
  • Troubleshooting OpenShift: Diagnosing and resolving common issues in Red Hat OpenShift.
  • Performance Tuning RHEL: Optimizing the performance of Red Hat Enterprise Linux.
  • Performance Tuning RHV: Optimizing the performance of Red Hat Virtualization.
  • Performance Tuning OpenShift: Optimizing the performance of Red Hat OpenShift.
  • Hands-on Project: Troubleshooting and performance tuning a Red Hat cloud infrastructure, including RHEL, RHV, and OpenShift.

Module 18: Backup and Disaster Recovery Strategies for Red Hat Cloud Environments

  • Introduction to Backup and Disaster Recovery: Understanding the importance of backup and disaster recovery strategies.
  • Backup Strategies for RHEL: Implementing backup strategies for Red Hat Enterprise Linux.
  • Backup Strategies for RHV: Implementing backup strategies for Red Hat Virtualization.
  • Backup Strategies for OpenShift: Implementing backup strategies for Red Hat OpenShift.
  • Disaster Recovery Strategies: Developing and implementing disaster recovery strategies for Red Hat cloud environments.
  • Testing and Validation: Testing and validating backup and disaster recovery plans.
  • Hands-on Project: Implementing backup and disaster recovery strategies for a Red Hat cloud environment, including RHEL, RHV, and OpenShift.

Module 19: Cloud Governance and Compliance with Red Hat Technologies

  • Introduction to Cloud Governance and Compliance: Understanding the importance of governance and compliance in cloud environments.
  • Red Hat Compliance Operator: Using the Red Hat Compliance Operator to automate compliance checks.
  • Policy as Code: Implementing governance policies as code with tools like Open Policy Agent (OPA).
  • Security Auditing and Logging: Implementing security auditing and logging practices.
  • Identity and Access Management (IAM): Implementing robust IAM policies for cloud resources.
  • Compliance Standards: Understanding and meeting compliance standards like PCI DSS, HIPAA, and GDPR.
  • Hands-on Project: Implementing cloud governance and compliance policies for a Red Hat cloud environment, including compliance checks, policy enforcement, and security auditing.

Module 20: Future Trends in Cloud Computing and Red Hat Technologies

  • Emerging Trends in Cloud Computing: Discussing emerging trends such as AI/ML, edge computing, and quantum computing.
  • Red Hat's Role in the Future of Cloud: Understanding Red Hat's strategy and roadmap for the future of cloud.
  • Container Security: Examining the latest developments in container security.
  • Serverless Computing Evolution: Discussing the evolution of serverless computing and its impact on cloud architectures.
  • Hybrid Cloud Strategies: Exploring advanced hybrid cloud strategies and architectures.
  • Preparing for the Future: Best practices for staying current with cloud technologies and Red Hat solutions.
This course provides a comprehensive and practical learning experience that equips you with the skills and knowledge to excel in the field of cloud computing with Red Hat technologies. Enroll now and start your journey to becoming a certified Red Hat cloud expert! Upon completion, you'll receive a CERTIFICATE issued by The Art of Service.

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