In our lecture we ran out of time, so our prof told us a few properties about measure: He said that a measure is $\sigma$-additive iff it has a right-side continuous function that it creates. And he was not only referring to probability measures. After going through my lecture notes, I thought that this would imply that there can be no other measures than ones having a right-side continuous function (I think they are called Lebesgue-Stieltjes measures) as $\sigma$-additivity is a prerequisite to be a measure. So somehow, this does not fit together. Does anybody know what he could have meant here? Or was he only referring to probability measures?
Is anything unclear about my question?
There are many other measures. For example, the counting measure: $\mu(A)$ is the number of elements of $A$, with $\mu(A)=\infty$ if $A$ is infinite. This is not a Lebesgue-Stieltjes measure. Neither are the Hausdorff measures $\mathcal H^d$ with $0<d<1$. Indeed, all of these measures have $\mu([a,b])=\infty$ whenever $a<b$, which is something a Lebesgue-Stieltjes measure cannot satisfy.
A Borel measure on $\mathbb R$ is a Lebesgue-Stieltjes measure if and only if it is regular; equivalently, if it is finite on bounded sets. See Real Analysis by Royden, section 12.3.
Additional remark from comments: if $\mu$ is a finitely additive measure that is finite on bounded sets, then the $\sigma$-additivity of $\mu$ is equivalent to its CDF being right-continuous. One direction is here, the other direction is here.