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Course Outline

Introduction

  • Understanding cloud vendor lock-in.
  • Differences between multi-cloud and hybrid cloud terminology.
  • Data sovereignty regulatory requirements.
  • Benefits and challenges of multi-cloud strategies.

Assessing Vendor Lock-in Risks

  • Proprietary services and APIs.
  • Data egress costs and constraints.
  • Assessment of technology dependencies.
  • Planning exit strategies.

Multi-Cloud Architecture Patterns

  • Principles of cloud-agnostic design.
  • Strategies for workload portability.
  • Networking and connectivity in multi-cloud settings.
  • Service mesh applications in multi-cloud environments.

Containerization and Orchestration

  • Kubernetes as an abstraction layer.
  • Multi-cluster management.
  • Strategies for container registries.
  • Best practices for portability.

Infrastructure as Code

  • Terraform for multi-cloud provisioning.
  • Policy as code using cloud-agnostic tools.
  • Managing configuration drift.
  • GitOps workflows across different clouds.

Data Sovereignty and Compliance

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

Security in Multi-Cloud Environments

  • Unified identity and access management.
  • Cross-cloud security monitoring.
  • Network segmentation strategies.
  • Incident response protocols across providers.

Cost Optimization and Governance

  • Tools for multi-cloud cost management.
  • Resource tagging and allocation.
  • Governance frameworks.
  • FinOps practices tailored for multi-cloud.

Migration and Integration

  • Lift-and-shift versus re-architecture approaches.
  • Data migration strategies.
  • Application refactoring patterns.
  • Testing and validation methods.

Real-World Case Studies

  • Multi-cloud deployment in financial services.
  • Implementation of data sovereignty in healthcare.
  • Cloud usage scenarios in government.

Summary and Next Steps

Requirements

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

Audience

  • Cloud architects and engineers.
  • Solutions architects.
  • Infrastructure managers.
  • IT directors involved in cloud strategy planning.
  • Compliance and security officers.
 14 Hours

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