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 Duration 14 hours

Course Outline

Introduction

  • Comprehending cloud vendor lock-in
  • Clarifying multi-cloud versus hybrid cloud terminology
  • Regulatory requirements for data sovereignty
  • Advantages and obstacles of multi-cloud strategies

Evaluating Vendor Lock-in Risks

  • Proprietary services and APIs
  • Data egress costs and limitations
  • Assessing technology dependencies
  • Planning exit strategies

Multi-Cloud Architecture Patterns

  • Cloud-agnostic design principles
  • Strategies for workload portability
  • Multi-cloud networking and connectivity
  • Service mesh implementation in multi-cloud settings

Containerization and Orchestration

  • Kubernetes as an abstraction layer
  • Managing multiple clusters
  • Container registry strategies
  • Best practices for portability

Infrastructure as Code

  • Using Terraform for multi-cloud provisioning
  • Implementing policy as code with cloud-agnostic tools
  • Managing configuration drift
  • GitOps workflows across different clouds

Data Sovereignty and Compliance

  • Controls for data residency
  • Mechanisms for cross-border data transfers
  • Compliance frameworks (e.g., GDPR)
  • Encryption and key management

Security in Multi-Cloud Environments

  • Unified identity and access management
  • Monitoring security across clouds
  • Network segmentation strategies
  • Incident response coordination across providers

Cost Optimization and Governance

  • Tools for managing multi-cloud costs
  • Resource tagging and allocation
  • Governance frameworks
  • Applying FinOps practices in multi-cloud contexts

Migration and Integration

  • Lift-and-shift versus re-architecting approaches
  • Data migration strategies
  • Patterns for application refactoring
  • Testing and validation methodologies

Real-World Case Studies

  • Multi-cloud deployment in financial services
  • Implementing data sovereignty in healthcare
  • Government cloud usage scenarios

Conclusion and Future Steps

Requirements

  • Fundamental grasp of cloud computing principles
  • Experience with at least one major cloud provider (AWS, Azure, or GCP)
  • Basic knowledge of containerization and Kubernetes
  • Core understanding of networking and security concepts

Target Audience

  • Cloud architects and engineers
  • Solutions architects
  • Infrastructure managers
  • IT directors formulating cloud strategy
  • Compliance and security officers

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