Serverless Multi-Cloud Architecture: Building Functions and Pipelines Across AWS, Azure, and GCP

    Serverless Multi-Cloud Architecture: Building Functions and Pipelines Across AWS, Azure, and GCP Picture this: your application suddenly goes down because your cloud provider is facing an outage. Customers are frustrated, support tickets are flooding in, and you’re stuck waiting for the provider to resolve the issue. This is the nightmare of vendor lock-in. The good news? There’s a way to minimize this risk. By using serverless multi-cloud architecture, you can run the same application across AWS, Azure, and Google Cloud—spreading workloads across multiple providers instead of relying on just one. It’s like having backup generators, but for your cloud strategy. In this blog, we’ll walk through how to write serverless functions and pipelines that run across multiple providers, how to set up CI/CD practices, and what best practices to keep in mind for avoiding pitfalls. Why Think Multi-Cloud? Relying on one cloud might feel convenient in the short run, but it limits your fle...