I am looking for a good reference covering Chernoff bounds for a beginner. By this I mean, a beginner on the subject of Chernoff bounds; I have taken an undergraduate and masters course in mathematics which includes some probability, but this has usually been more on the measure-theoretic side of things, and somehow I have managed to never encounter Chernoff bounds until this point.
An ideal reference would be quite short and cover the concept of Chernoff bounds from scratch (but not necessarily probability as a whole, I am comfortable with university level probability), including a fairly wide range of reasonably basic results on Chernoff bounds, proofs preferably included, but without necessarily going into particularly deep or complex applications.
If it helps to have some context, I am studying a number of almost-Ph.D level papers on random graph theory and many of them appeal to "results with Chernoff bounds" multiple times without giving much information on what these are or how they are actually being used. I don't believe the applications themselves are very deep, but they are used lots of times in different contexts, and the results actually being applied don't appear to be identical. Hence, I would like to find a source which can provide me with enough information to plausibly contain most the results being snuck into these papers, but since the applications don't seem particularly deep I don't think I want anything extraordinarily complex, particularly as I have quite a lot of other reading to do and would prefer not to cover too much irrelevant material when possible (though ascertaining which bits will be relevant is proving quite tricky given the brevity of the papers!).
If no such reference exists, then anything you could point me towards which you believe to contain a particularly well-written treatment on Chernoff bounds would be greatly appreciated. (The book/reference of course doesn't need to exclusively cover the topic of Chernoff bounds, of course.) Many thanks for your advice.