Deployment Archetypes for Cloud Applications. (Google Research/Whitepaper)

This is a survey paper that explores six Cloud-based deployment archetypes for Cloud applications and the tradeoffs between them to achieve high availability, low end-user latency, and acceptable costs. 00:00:13 Abstract 00:01:29 1. Introduction 00:04:28 1.1 Principles of Availability 00:09:32 1.2 Types of Applications 00:11:03 1.3 Data Durability, Availability and Backup 00:14:02 1.4 Six Deployment Archetypes for Cloud Applications 00:18:02 2. Zonal 00:18:36 2.1 Single Zone 00:20:11 2.2 Primary Zone with Failover Zone 00:26:47 3. Regional 00:28:13 3.1 Single Region 00:32:56 3.2 Primary Region with Failover Region 00:37:21 4. Multi-Regional 00:40:38 4.2 DNS Load Balancing 00:45:30 4.3 DNS Load Balancing with Isolated Stacks 00:52:45 4.4 DNS LB with Custom Multi-Regional Load Balancing 00:54:22 5. Global 00:56:15 5.1 Global Anycast 00:58:36 5.2 Global Anycast LB with Isolated Regional Stacks 01:00:54 5.3 Global Services Stack 01:08:13 6. Hybrid 01:11:36 7. Multi-Cloud 01:19:21 8. Comparison 01:22:58 8.1 Failover-to-Standby vs. Load Balancing 01:25:54 8.2 Regional vs. Global Application Stacks 01:28:14 8.3 Instantaneous Recovery 01:29:30 8.4 Cost of Availability 01:32:34 9. Related Work 01:38:08 10. Summary 01:39:22 Acknowledgements

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