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Course Outline

Day 1 - Fundamental Cloud Computing

  • Terminology and Key Concepts in Cloud Computing
  • Fundamentals of Virtualization
  • Defining Characteristics of Cloud Environments
  • Understanding Elasticity, Resiliency, On-Demand Access, and Measured Usage
  • Advantages, Challenges, and Risks of Modern Cloud Computing Platforms and Services
  • Roles of Cloud Resource Administrators and Cloud Service Owners
  • Roles of Cloud Service Providers and Cloud Service Consumers
  • Cloud Delivery Models: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS)
  • Integrating Cloud Delivery Models
  • Deployment Models: Public Cloud, Private Cloud, Hybrid Cloud, and Community Cloud
  • Business Cost Metrics and Formulas for Comparing Cloud and On-Premise Solution Costs
  • Service Level Agreements (SLAs) for Cloud-Based IT Resources
  • Formulas for Calculating and Evaluating SLA Quality of Service Characteristics

Cloud Technology Concepts

  • Cloud Computing Mechanisms That Establish Architectural Building Blocks
  • Virtual Servers, Pre-Built Environments, Failover Systems, and Pay-for-Use Monitoring
  • Cloud Balancing and Cloud Bursting Architectures
  • Common Risks, Threats, and Vulnerabilities of Cloud Services and Cloud-Hosted Solutions
  • Cloud Security Mechanisms for Mitigating Threats and Attacks
  • Understanding Cloud Security Groups and Hardened Virtual Server Images
  • Cloud Service Implementation Methods (Including Web Services and REST Services)
  • Benefits and Challenges of Cloud Storage
  • Cloud Storage Services, Technologies, and Approaches
  • Comparing Non-Relational (NoSQL) Storage with Relational Storage
  • Considerations and Types of Cloud Service Testing

Day 3 - Fundamental Cloud Architecture

  • Technology Architectural Layers of Cloud Environments
  • Technology Architecture of Public and Private Clouds
  • Technology Architecture of IaaS, PaaS, and SaaS
  • Cloud Computing Mechanisms Within Platform and Solution Technology Architectures
  • Bare-Metal and Elastic Disk Provisioning
  • Multipath Resource Access, Broad Access, and Intelligent Automation Engines
  • Usage Monitoring and Pay-as-You-Go Models
  • Platform Provisioning and Rapid Provisioning
  • Resource Management and Real-Time Resource Availability
  • Shared Resources, Resource Pools, and Resource Reservation
  • Self-Service and Usage/Administration Portals
  • Workload Distribution and Service State Management
  • Additional technology architecture topics related to cloud platforms, solutions, and services may also be explored.

Advanced Cloud Architecture

  • Elastic Environments
  • Resilient Environments
  • Multi-Tenant Environments
  • Direct I/O Access and Direct LUN Access
  • Dynamic Data Normalization
  • Zero Downtime and Storage Maintenance Windows
  • Load-Balanced Virtual Servers
  • Burst In, Burst Out, and Cloud Bursting
  • Cloud Balancing
  • Redundant Storage and Storage Workload Management
  • Elastic Disk Provisioning, Elastic Resource Capacity, and Elastic Network Capacity
  • Intra-Storage and Cross-Storage Device Vertical Tiering
  • Redundant Physical Connections for Virtual Servers and Persistent Virtual Network Configurations
  • Load-Balanced Virtual Switches and Service Load Balancing
  • Hypervisor Clusters
  • Dynamic Failure and Recovery
  • Synchronized Operating States
  • Resource Reservation
  • Additional technology architecture topics related to cloud platforms, solutions, and services may also be explored.

Day 5 - Cloud Architecture Lab

  • As a hands-on lab, this module provides a set of detailed exercises that require participants to solve a series of interrelated problems. The ultimate goal is to evaluate, design, and refine technology architectures to meet specific solution and business automation requirements.
 35 Hours

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