1.8 The three major providers, side by side
You can read a job description or a syllabus naming any provider and know what it maps to.
Before:00. Groundwork — Linux, Networking & GitUnlocks:02. Compute09. Cost Engineering
AWS, Azure and Google Cloud sell substantially the same ideas under three vocabularies, and this topic is the translation table: relative sizes, typical strengths, and where the smaller and Indian providers fit. The strategy it recommends is learning one provider deeply and reading the other two, because concepts transfer even when names refuse to. It sits at the end of foundations so a job description or a syllabus naming any provider maps onto something already understood rather than something new.
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AWS, Azure and Google Cloud: relative size and typical strengths
The three large providers differ in size and in where they are strongest, and knowing the rough shape lets you read a job advertisement without alarm. None of them is the correct answer in general.
AWS Skill Builder — free digital training · CourseThe naming problem: same idea, three names
The same concept carries a different brand name at each provider, which makes documentation look more different than it is. Once you have the mapping, two thirds of the apparent complexity disappears.
How to learn one deeply and read the other two
The efficient route is to learn one provider properly and use the mapping to read the other two, rather than learning three shallowly. This item is about choosing that first one deliberately.
Where the smaller providers and Indian data centres fit
Beyond the three there are smaller providers and Indian data centre operators, and they win on specific grounds like price, support or where the hardware physically is. Knowing they exist keeps the decision honest.
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