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Multi-cloud sounds simple ā 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. āŗ Git repo: https://gitlab.com/twn-youtube/multi-cloud-crash-course š¶ Control Plane provides a unified platform to deploy, secure, and manage your entire multi-cloud infrastructure from one place. š¶ Check them out for a 30-day free trial: https://controlplane.com/ In this video, I break down how companies like Netflix, Spotify, and Uber actually run multi-cloud architectures ā 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 ā this video gives you the full picture. ā¬ā¬ā¬ā¬ā¬ā¬ š§šš šš¦š§šš š£š¦ ā¬ā¬ā¬ā¬ā¬ā¬ 0:00 ā Intro - How Netflix, Spotify & Uber actually use multi-cloud 2:06 ā Realistic Scenario of Multi-Cloud 3:52 ā Two Multi-Cloud Implementation Patterns (And their challenges) 8:23 ā Abstraction layer 10:25 ā How Control Plane works 16:08 ā Practical demo: Deploying across AWS, Azure & GCP 19:05 ā Step 1: Setting Up the Multi-Cloud Infrastructure 21:23 ā Step 2: Deploying the Application 26:25 ā Step 3: Add Authentication to access S3 bucket 37:20 ā Step 4: Testing Failover ā¬ā¬ā¬ā¬ā¬ā¬ Connect with me š ā¬ā¬ā¬ā¬ā¬ā¬ INSTAGRAM āŗ https://bit.ly/2F3LXYJ TWITTER āŗ https://bit.ly/3i54PUB LINKEDIN āŗ https://bit.ly/3hWOLVT