The variance (and therefore the standard deviation) measures the variability of a random variable. It has a large number of uses, mostly connected to estimating the reliability of a result obtained from an experiment.
For example, think of precision scale for measuring weights. If we weigh something several times, typically a precision scale will give 9slightly) different answers.
Two scales A and B might both on average give the right answer. But if scale A has smaller variance than scale B, then a single weighing on scale A is more likely to give a result close to the truth than a single weighing on scale B.