Planning and Comparison - Cloud Library
Library entryAWS and Google Cloud: How the Two Models DifferBoth run enormous infrastructure. They differ in how accounts are structured, how permissions are expressed and how the catalogue is organised.Library entryAWS and Azure: Identity, Billing and Service ShapeThe clearest differences are structural: how identity is modelled, how billing containers work, and how each fits an existing organisation.Library entryDigitalOcean and Linode: Two Takes on Simple CloudBoth deliberately limit scope to make straightforward hosting pleasant. The differences are matters of emphasis rather than capability.Library entryHetzner and DigitalOcean: What European Teams Weigh UpOne competes on how much compute a budget buys; the other on how quickly you can get moving. Both arguments are legitimate.Library entryCloud Infrastructure for AI and Machine-Learning WorkloadsTraining and inference have almost opposite infrastructure needs, and most teams today are doing neither from scratch.Library entryCloud Planning for Early-Stage TeamsEarly infrastructure decisions are mostly about preserving optionality cheaply. Most early-stage teams need far less than they expect.