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Course Outline

Introduction

  • Evaluating the impact of cloud vendor dependencies
  • Distinguishing between multi-cloud and hybrid cloud architectures
  • Regulatory requirements for data sovereignty and residency
  • Advantages and complexities associated with distributed cloud strategies

Assessing Vendor Dependency Risks

  • Implications of proprietary services and APIs
  • Analysis of data egress costs and usage constraints
  • Evaluation of critical technology dependencies
  • Planning for transition and exit strategies

Multi-Cloud Architecture Patterns

  • Design principles for cloud-agnostic systems
  • Strategies for workload portability
  • Networking and connectivity solutions for multi-cloud environments
  • Implementation of service mesh across cloud providers

Containerization and Orchestration

  • Utilizing Kubernetes as an abstraction layer
  • Managing multi-cluster environments
  • Strategies for container registry management
  • Best practices for ensuring portability

Infrastructure as Code

  • Provisioning multi-cloud resources using Terraform
  • Implementing policy as code with cloud-agnostic tools
  • Controlling and managing configuration drift
  • Establishing GitOps workflows across multiple clouds

Data Sovereignty and Compliance

  • Enforcing data residency controls
  • Mechanisms for cross-border data transfer
  • Adherence to compliance frameworks such as GDPR
  • Encryption standards and key management practices

Security in Multi-Cloud Environments

  • Implementing unified identity and access management
  • Conducting cross-cloud security monitoring
  • Strategies for network segmentation
  • Coordinating incident response across providers

Cost Optimization and Governance

  • Tools for managing multi-cloud costs
  • Resource tagging and allocation methodologies
  • Establishing governance frameworks
  • Applying FinOps practices to multi-cloud operations

Migration and Integration

  • Comparing lift-and-shift versus re-architecture approaches
  • Strategies for data migration
  • Patterns for application refactoring
  • Approaches to testing and validation

Real-World Case Studies

  • Multi-cloud deployments in financial services
  • Implementing data sovereignty in healthcare
  • Cloud usage scenarios for government agencies

Summary and Next Steps

Requirements

  • Foundational understanding of cloud computing concepts
  • Familiarity with at least one major cloud provider (AWS, Azure, or GCP)
  • Basic knowledge of containerization and Kubernetes
  • Understanding of networking and security fundamentals

Target Audience

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

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