Objectives
- Learn how to plan a transition to a hybrid cloud model.
- Explore advanced use cases like Cloud Bursting and Edge Computing.
- Final review and course wrap-up.
1. Migration and Modernization Roadmaps
Moving to a hybrid cloud is a journey, not a single step.
- Phase 1: Assessment: Identify which workloads are suitable for the cloud and which must stay on-premises.
- Phase 2: Foundations: Set up networking, identity, and security (The "Landing Zone").
- Phase 3: Migration: Move non-critical workloads first (Dev/Test environments).
- Phase 4: Optimization: Refactor applications to use cloud-native services.
2. Advanced Use Cases
- Cloud Bursting: Automatically scaling on-premises applications into the public cloud during spikes in traffic.
- Edge Computing: Processing data closer to where it is generated (e.g., in a factory or retail store) and sending only the results to the cloud.
- Hybrid AI/ML: Training large AI models in the cloud using massive datasets, but running the "Inference" (the actual prediction) on-premises for low latency.
3. Implementation Challenges
- Skill Gaps: Staff need to understand both traditional IT and cloud-native concepts.
- Complexity: Managing two different environments increases operational overhead.
- Cost Management: Unexpected egress fees or over-provisioned cloud resources can lead to high bills.
Final Practical Exercise: Hybrid Strategy Proposal
- You are the CTO of a retail company with 500 stores. You want to implement a new AI-powered inventory system.
- Propose a hybrid cloud strategy that addresses:
- Where the data is collected (Stores/Edge).
- Where the AI models are trained (Cloud).
- How the systems are connected and secured.
- How you will monitor the entire setup.