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AWS still dominates at 32% market share, but new deployments tell a different story. Platform abstractions (Vercel, Fly.io, Railway) mean developers never touch AWS directly. GPU shortages made Lambda Labs a major player overnight. Edge platforms deliver sub-50ms latency globally as the default. We break down the technical differences between AWS, Google, and Azure—networking architectures, database philosophies, operational complexity—and explore specialized clouds crushing specific domains. Plus: what skills matter now (FinOps, GitOps, multi-cloud architecture) versus what's becoming table stakes (basic Kubernetes, Terraform).
🔗 Full episode page: https://platformengineeringplaybook.com/podcasts/00002-cloud-providers
📝 See a mistake or have insights to add? This podcast is community-driven - open a PR on GitHub to contribute your perspective!
By vibesreAWS still dominates at 32% market share, but new deployments tell a different story. Platform abstractions (Vercel, Fly.io, Railway) mean developers never touch AWS directly. GPU shortages made Lambda Labs a major player overnight. Edge platforms deliver sub-50ms latency globally as the default. We break down the technical differences between AWS, Google, and Azure—networking architectures, database philosophies, operational complexity—and explore specialized clouds crushing specific domains. Plus: what skills matter now (FinOps, GitOps, multi-cloud architecture) versus what's becoming table stakes (basic Kubernetes, Terraform).
🔗 Full episode page: https://platformengineeringplaybook.com/podcasts/00002-cloud-providers
📝 See a mistake or have insights to add? This podcast is community-driven - open a PR on GitHub to contribute your perspective!