How to Design for Multi-Cloud Deployment - Best Practices and Considerations

How to Design for Multi-Cloud Deployment - Best Practices and Considerations

CNCF [Cloud Native Computing Foundation] via YouTube Direct link

Choosing cloud providers

6 of 18

6 of 18

Choosing cloud providers

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How to Design for Multi-Cloud Deployment - Best Practices and Considerations

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  1. 1 Intro
  2. 2 Redundancy & Availability
  3. 3 Latency, Geographic Considerations
  4. 4 Cost & Feature Options Best possible cloud for each workload Cloud can become platform
  5. 5 Forces design in a way that is not restrictive
  6. 6 Choosing cloud providers
  7. 7 Don't design for a specific cloud Lock-in dangers as mentioned Platform restrictions -e.g., Kubernetes
  8. 8 Plan your architecture Locations requirements, etc.
  9. 9 Ensure your requirements are met Databases Egress data fees / structure Staff abilities and training Regulatory requirements
  10. 10 Investigate commercials Contracts and commercials Support and SLA Reliability and performance guarantees
  11. 11 Consider 2x clouds or 1 cloud + X Hybrid cloud, hybrid platforms Custom datacenters App-based services and deployments
  12. 12 Consider your architecture
  13. 13 Try to automate deployments
  14. 14 Utilize auto-scaling functions Don't pay for 100% high availability Ensure AWS outage causes scaling in GCP, etc.
  15. 15 Route traffic with GSLB Global Server Load Balancing Intelligent DNS server Allows for test deployments, weighting
  16. 16 Centralized Monitoring
  17. 17 3. Cloud For Layer 4 Solutions Handle layer 4 security at the cloud level Security groups, etc.
  18. 18 How Snapt does it?

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