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Course Outline

  • Core Principles of Edge Computing Infrastructure
    • Essential components and architectural design of edge infrastructure
    • Assessing infrastructure needs for specific application scenarios
    • Strategic decisions regarding building versus purchasing edge infrastructure
  • Open Hybrid Cloud Infrastructure
    • Understanding the advantages of a hybrid cloud model
    • Tactics for merging public and private cloud capabilities
    • Examining successful hybrid cloud implementation examples
  • Distributing Workloads across Public and Private Clouds
    • Optimizing performance and costs through effective workload distribution
    • Overseeing and coordinating multi-cloud ecosystems
    • Addressing security within multi-cloud architectures
  • On-Premises Solutions for Critical Operations
    • Recognizing critical workloads best suited for on-premises processing
    • Crafting robust on-premises infrastructure designs
    • Harmonizing on-premises and cloud assets for peak performance
  • Adaptability and Growth in Resource Management
    • Methods for dynamic resource allocation in edge settings
    • Expanding edge infrastructure to adapt to evolving requirements
    • Maintaining high availability and fault tolerance
  • Deploying Redundant Systems in Hybrid Clouds
    • The role of redundancy in ensuring reliability and business continuity
    • Architectural models for redundancy within hybrid clouds
    • Verification and testing of redundant mechanisms
  • Optimal Strategies for Infrastructure Oversight
    • Primary management hurdles in edge and hybrid cloud contexts
    • Tools and technologies for streamlined infrastructure administration
    • Creating a proactive strategy for maintenance and monitoring
  • Case Studies: Practical Infrastructure Implementations
    • Detailed review of successful edge and hybrid cloud rollouts
    • Key takeaways and best practices from real-world experiences
    • Emerging trends and technologies shaping future infrastructure development

Requirements

  • General knowledge of cloud infrastructure

Target Audience

  • Business Analysts
  • Product Managers
  • Developers
 28 Hours

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