Thermodynamics is a fascinating theory describing transformations between equilibrium states of large systems enabling predictions whatever the system dynamics. On the opposite, stochastic thermodynamics constrains the Markov dynamics of systems with few degrees of freedom: At the level of elementary transitions, this constraint is called "local detailed balance" (or fluctuations-dissipation relation). At the level of the exchanges with the environment, it is called a "fluctuation relation". This constraint imposing thermodynamics consistency at all scales must hold arbitrarily far from equilibrium, a fact that has brought many developments over the last two decades. In this talk, after a quick introduction to stochastic thermodynamics, I'll give an overview of the applications of this framework, including my own perspective on the physics of coupled fluxes and its application to thermodynamics machines undergoing strong fluctuations.