Multi Cloud Magic: Leveraging Multi Cloud Clusters in Real World Scenarios
summary
Shows concrete use of MongoDB Atlas multi-cloud cluster to keep data in-country (Canada, Australia) and to attach GCP for AutoML analytics while production stays on AWS, using a read-only analytics node for near-real-time recommendations. Describes a cost-arbitrage workflow that flips primaries between providers, a live migration that preserves the connection string, and practical topologies including a 2-2-1 node distribution and a single-node-per-cloud starter. Demonstrations claim this reduces downtime, lowers latency for regional users, and isolates heavy analytics from production workload.
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chapters (19)
- 0:00Intro
- 1:18Agenda
- 1:50What is multicloud
- 2:19What does multicloud mean
- 2:41Google Cloud outage
- 3:53AWS outage
- 4:31Coronavirus
- 5:39Outages
- 7:08Think Tank
- 7:49Greg Scherr
- 8:41Aeon
- 10:19Canadian Direction for Electronic Data Residency
- 11:11Emergency Services Application
- 13:57My Health Records Act
- 15:45Best of All Clouds
- 22:22Why Developers Should Care
- 26:35Future Proof Example
- 31:08How to build a multicloud cluster
- 38:15Outro
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