1.4 Public, private, hybrid and multi-cloud
You can say which deployment model a requirement forces, and when it forces none.
Before:00. Groundwork — Linux, Networking & GitUnlocks:02. Compute09. Cost Engineering
Public, private, hybrid, community and multi-cloud are answers to different constraints, and this topic matches each model to the requirement that forces it — regulation, sovereignty, existing hardware, or none at all. It follows the service models because the two axes are independent and beginners tangle them. The honest note is on multi-cloud: portability has a real, continuing cost, and choosing it for fear of lock-in alone usually buys the worst of both worlds.
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Public cloud economics and its assumptions
Public cloud economics depend on many tenants sharing one pool, which is what makes it cheap and also what you are accepting. Knowing the assumption tells you when it stops holding.
Private and on-premises: the cases that genuinely need it
Some workloads genuinely have to stay on your own hardware, for reasons of law, latency to physical equipment, or existing investment. This item is about telling those cases apart from habit and preference.
Community cloud — several organisations with a shared concern, and why it is rare in practice
Several organisations with the same regulatory concern can share an environment built for it. It is rare in practice, and knowing why it is rare is more useful than the definition.
Hybrid patterns and their connectivity cost
Hybrid means part here and part there, and the part everyone underestimates is the network between them: bandwidth, latency and the cost of data crossing the link. That connectivity is usually the real bill.
Multi-cloud: the honest cost of portability
Running on more than one provider buys independence and costs you the lowest common denominator of both. This item is the honest accounting of that trade rather than the marketing version.
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