Leveraging Multi-Cloud Clusters in Real-World Scenarios
summary
Explains running a MongoDB Atlas multi‑cloud cluster across AWS, GCP and Azure to solve concrete problems: meet Canadian and Australian data residency rules by spanning regional clouds, absorb outages like Google June 2019 or AWS Oct 2019, and handle Teams scale (44 million daily users, 900M meeting minutes). Shows a production case using a read-only analytics node on GCP to feed AutoML without affecting AWS primary workloads, a live graceful rollover without changing connection string, and experimental cloud‑arbitrage for cost bursts.
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chapters (7)
- 0:00Intro
- 0:36Agenda
- 1:28What is multi-cloud?
- 2:17Do we really need a multi-cloud option?
- 13:12Multi-cloud in the real world
- 39:06Building a multi-cloud cluster
- 42:06Outro
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