How Netflix, Spotify & Uber actually run multi-cloud architectures

Multi-cloud sounds simple — use the best of AWS, Google Cloud, and Azure together. But the reality? Managing multiple clouds can double your bill and triple your complexity before you even deploy your first service.

► Git repo: https://gitlab.com/twn-youtube/multi-cloud-crash-course

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In this video, I break down how companies like Netflix, Spotify, and Uber actually run multi-cloud architectures — and more importantly, what makes it manageable at scale.

You'll learn:
- The two multi-cloud patterns and the real problems each one creates
- Why credential management, networking, and infrastructure duplication are the hidden killers
- The abstraction layer concept that makes multi-cloud actually work
- A practical demo deploying a containerized app across AWS, Azure, and GCP using Control Plane

Whether you're architecting for resilience or just trying to use the best service from each provider — this video gives you the full picture.

▬▬▬▬▬▬ 𝗧𝗜𝗠𝗘𝗦𝗧𝗔𝗠𝗣𝗦 ▬▬▬▬▬▬
0:00 — Intro - How Netflix, Spotify & Uber actually use multi-cloud
2:06 — Realistic Scenario of Multi-Cloud
3:52 — Two Multi-Cloud Implementation Patterns (And their challenges)
8:23 — Abstraction layer
10:25 — How Control Plane works
16:08 — Practical demo: Deploying across AWS, Azure & GCP
19:05 — Step 1: Setting Up the Multi-Cloud Infrastructure
21:23 — Step 2: Deploying the Application
26:25 — Step 3: Add Authentication to access S3 bucket
37:20 — Step 4: Testing Failover
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Видео How Netflix, Spotify & Uber actually run multi-cloud architectures канала TechWorld with Nana